ElegantJ BI Blog https://www.elegantjbi.com/blog Simply Smarter! Tue, 16 Oct 2018 13:17:21 +0000 en-US hourly 1 https://wordpress.org/?v=4.3.17 What is Hierarchical Clustering and How Can an Organization Use it to Analyze Data? https://www.elegantjbi.com/blog/what-is-hierarchical-clustering-and-how-can-an-organization-use-it-to-analyze-data.htm https://www.elegantjbi.com/blog/what-is-hierarchical-clustering-and-how-can-an-organization-use-it-to-analyze-data.htm#comments Tue, 16 Oct 2018 13:17:21 +0000 https://www.elegantjbi.com/blog/?p=5651 Continued]]>

This article discusses the analytical method of Hierarchical Clustering and how it can be used within an organization for analytical purposes.

What is Hierarchical Clustering?

Hierarchical Clustering is a process by which objects are classified into a number of groups so that they are as much dissimilar as possible from one group to another group and as much similar as possible within each group.

hierarchical clustering example

For example, items shown in the image above should be as similar as possible in terms of attributes of the items in each group, and objects in group 1 and group 2 should be as dissimilar as possible. All observations start in one cluster, and are then divided into two clusters. The data points within one cluster are as similar as possible, and the data points in other clusters are dissimilar from the other clusters being analyzed. For each cluster, we repeat the process until the specified number of clusters is reached.

 

hierarchical clustering example

This type of analysis can be applied to segment customers by purchase history, segment users by the types of activities they perform on websites or applications, to develop consumer profiles based on activities or interests, and to recognize market segments, etc.

How Does and Organization Use Hierarchical Clustering to Analyze Data?

In order to understand the application of Hierarchical Clustering for organizational analysis, let us consider two use cases.

Use Case – 1

Business Problem: A bank wants to group loan applicants into high/medium/low risk based on attributes such as loan amount, monthly installments, employment tenure, the number of times the applicant has been delinquent in other payments, annual income, debt to income ratio etc.

Business Benefit: Once the segments are identified, the bank will have a loan applicants’ dataset with each applicant labeled as high/medium/low risk. Based on these labels, the bank can easily make a decision on whether to give loan to an applicant and how much credit to extend, as well as the interest rate the applicant will be given, based on the amount of risk involved.

Use Case – 2

Business Problem: The enterprise wishes to organize customers into groups/segments based on similar traits, product preferences and expectations. Segments are constructed based on customer demographic characteristics, psychographics, past behavior and product use behavior.

Business Benefit: Once the segments are identified, marketing messages and products can be customized for each segment. The better the segment(s) chosen for targeting by a particular organization, the more successful the business will be in the market.

Hierarchical Clustering can help an enterprise organize data into groups to identify similarities and, equally important, dissimilar groups and characteristics, so that the business can target pricing, products, services, marketing messages and more.

About Smarten

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. Smarten Augmented Analytics tools include assisted predictive modelingsmart data visualizationself-serve data preparation and clickless analytics with natural language processing (NLP) for search analytics. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

The Smarten approach to data discovery is powered by ElegantJ BI Business Intelligence Solutions, a representative vendor in multiple Gartner reports including the Gartner Research Market Guide to Self-Service Data Preparation, as a Niche BI and Analytics Vendor in the Gartner Report, Competitive Landscape in the BI Platforms and Analytics Software, Asia/Pacific, as a Representative Vendor in the Gartner Market Guide for Enterprise-Reporting-Based Platforms, and a Listed Vendor in the Other Vendors to Consider for Modern BI and Analytics, Gartner Report.

Original Post: What is Hierarchical Clustering and How Can an Organization Use it to Analyze Data?

]]>
https://www.elegantjbi.com/blog/what-is-hierarchical-clustering-and-how-can-an-organization-use-it-to-analyze-data.htm/feed/ 0
What is SVM Classification Analysis and How Can It Benefit Business Analytics? https://www.elegantjbi.com/blog/what-is-svm-classification-analysis-and-how-can-it-benefit-business-analytics.htm https://www.elegantjbi.com/blog/what-is-svm-classification-analysis-and-how-can-it-benefit-business-analytics.htm#comments Tue, 16 Oct 2018 12:47:01 +0000 https://www.elegantjbi.com/blog/?p=5644 Continued]]>

This article provides a brief explanation of the SVM Classification method of analytics.

What is SVM Classification Analysis?

SVM Classifications are based on the idea of finding a hyper plane that best divides a dataset into predefined classes, as shown in the image below. The goal is to choose a hyperplane with the greatest possible margin between the hyper-plane and any point within the training set, giving a greater chance of new data being classified correctly.

svm classification analysis

To explore this technique further, let’s conduct the SVM classification using the following variables:

conduct the SVM classification

sample output svm classification

Here we see a sample output for the actual versus predicted outcome.

here we see a sample output for the actual versus predicted outcome

Classification Accuracy (35+ 70) / (35+70+4+4) = 92%. The prediction accuracy is useful criterion for assessing the model performance. Model with prediction accuracy >= 70% is useful

Classification Error = 100- Accuracy = 8%. There is 8% chance of error in classification

SVM Classification Analysis can be used for many analytical tasks:

  • Credit/Loan Approval Analysis – Given a list of client transactional attributes, a business can predict whether a client will default on a loan.
  • Medical Diagnosis – Given a list of symptoms, a doctor can predict if a patient has a particular disease.
  • Weather Forecasting – Based on temperature, humidity, pressure etc. the organization can predict precipitation.
  • Treatment Effectiveness Analysis – Based on the body attributes of a patient, e.g., blood pressure, blood sugar, hemoglobin, prescription medication, and previous treatment methods, a doctor can determine the likelihood of treatment success.
  • Fraud Analysis – Based on various bills submitted for employee reimbursement for food, travel, medical expenses etc., the organization can predict the likelihood of an employee submitting fraudulent expenses.

How Can SVM Classification Analysis Benefit Business Analytics?

Let’s examine two business use cases where SVM Classification can benefit the organization.

Use Case – 1

Business Problem: A bank loan officer wants to predict if the loan applicant will default on a loan, based attributes such as Loan amount, monthly payment installments, employment tenure, number of times delinquent, annual income, debt to income ratio etc. The target variable would be ‘past default status’ and the predicted class would contain values ‘yes or no’ representing ‘whether the applicant is likely to default/unlikely to default’.

Business Benefit: Once classes are assigned, the bank will have a loan applicant dataset with each applicant labeled as “likely/unlikely to default”. Based on these labels, the bank can easily make a decision on whether to give loan to an applicant and how much credit to extend, as well as the interest rate each applicant is eligible for based on the amount of risk involved.

Use Case – 2

Business Problem: A doctor wants to predict the likelihood of successful treatment of a patient illness based on various attributes such as blood pressure, hemoglobin level, blood sugar, prescription medications, and current and previous treatments. The target variable would be ‘past cure status’ and predicted class would contain values ‘yes or no’ meaning ‘prone to cure/not prone to cure’ respectively.

Business Benefit: Given the patient profile, and current and previous treatments and medications, the doctor can establish a probability of success and make changes in treatments/medications.

SVM Classification analysis can help organizations to predict outcomes, based on attributes and variables in the profile of a customer, a patient, a product or other subjects or targets that are crucial to enterprise success.

About Smarten

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. Smarten Augmented Analytics tools include assisted predictive modelingsmart data visualizationself-serve data preparation and clickless analytics with natural language processing (NLP) for search analytics. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

The Smarten approach to data discovery is powered by ElegantJ BI Business Intelligence Solutions, a representative vendor in multiple Gartner reports including the Gartner Research Market Guide to Self-Service Data Preparation, as a Niche BI and Analytics Vendor in the Gartner Report, Competitive Landscape in the BI Platforms and Analytics Software, Asia/Pacific, as a Representative Vendor in the Gartner Market Guide for Enterprise-Reporting-Based Platforms, and a Listed Vendor in the Other Vendors to Consider for Modern BI and Analytics, Gartner Report.

Original Post: What is SVM Classification Analysis and How Can It Benefit Business Analytics?

]]>
https://www.elegantjbi.com/blog/what-is-svm-classification-analysis-and-how-can-it-benefit-business-analytics.htm/feed/ 0
What is Outlier Analysis and How Can It Improve Analysis? https://www.elegantjbi.com/blog/what-is-outlier-analysis-and-how-can-it-improve-analysis.htm https://www.elegantjbi.com/blog/what-is-outlier-analysis-and-how-can-it-improve-analysis.htm#comments Tue, 16 Oct 2018 12:11:01 +0000 https://www.elegantjbi.com/blog/?p=5639 Continued]]>

This article presents a brief explanation of Outliers, and how this type of analysis is used.

What is Outlier Analysis?

An outlier is an element of a data set that distinctly stands out from the rest of the data. In other words, outliers are those data points that lie outside the overall pattern of distribution as shown in figure below.

what is outlier analysis

The easiest way to detect outliers is to create a graph. Plots such as Box plots, Scatterplots and Histograms can help to detect outliers. Alternatively, we can use mean and standard deviation to list out the outliers. Interquartile Range and Quartiles can also be used to detect outliers.

Here is another illustration of an outlier. If you look at the Histogram below, you will see that one value lies far to the left of all other data. This data point is an outlier.

another illustration of an outlier

How Can Outlier Detection Improve Business Analysis?

Outlier data points can represent either a) items that are so far outside the norm that they need not be considered or b) the illustration of a very unique and singular category or variable that is worth exploring either to capitalize on a niche or find an area where an organization can offer a unique focus.

When considering the use of Outlier analysis, a business should first think about why they want to find the outliers and what they will do with that data. That focus will help the business to select the right method of analysis, graphing or plotting to reveal the results they need to see and understand.

When considering the use of Outlier analysis, it is important to recognize that, when the Outlier analysis is applied to certain datasets, the results will indicate that outliers should be discounted, while in other cases, the outlier results will indicate that the organization should focus solely on those outliers. For example, if an outlier indicates a risk or a mistake, that outlier should be identified and the risk or mistake should be addressed. If an outlier indicates an exceptional result, such as a person that recovered from a particular disease in spite of the fact that most other patients did not survive, the organization will want to perform further analysis on the outlier result to identify the unique aspects that may be responsible for the patient’s recovery.

When a business uses Outlier analysis, it is important to test the results and analyze the overall dataset and environment to be sure that the presence of outliers does not indicate that the dataset may be more complex than anticipated and may require a different form of analysis.

About Smarten

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. Smarten Augmented Analytics tools include assisted predictive modelingsmart data visualizationself-serve data preparation and clickless analytics with natural language processing (NLP) for search analytics. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

The Smarten approach to data discovery is powered by ElegantJ BI Business Intelligence Solutions, a representative vendor in multiple Gartner reports including the Gartner Research Market Guide to Self-Service Data Preparation, as a Niche BI and Analytics Vendor in the Gartner Report, Competitive Landscape in the BI Platforms and Analytics Software, Asia/Pacific, as a Representative Vendor in the Gartner Market Guide for Enterprise-Reporting-Based Platforms, and a Listed Vendor in the Other Vendors to Consider for Modern BI and Analytics, Gartner Report.

Original Post: What is Outlier Analysis and How Can It Improve Analysis?

]]>
https://www.elegantjbi.com/blog/what-is-outlier-analysis-and-how-can-it-improve-analysis.htm/feed/ 0
What is the Decision Tree Analysis and How Does it Help a Business to Analyze Data? https://www.elegantjbi.com/blog/what-is-the-decision-tree-analysis-and-how-does-it-help-a-business-to-analyze-data.htm https://www.elegantjbi.com/blog/what-is-the-decision-tree-analysis-and-how-does-it-help-a-business-to-analyze-data.htm#comments Tue, 16 Oct 2018 11:26:15 +0000 https://www.elegantjbi.com/blog/?p=5634 Continued]]>

In this article, we will discuss the Decision Tree analysis method.

What is Decision Tree Analysis?

There are two basic types of decision tree analysis: Classification and Regression.

1) Classification Trees are used when the target variable is categorical and, as the name implies, are used to classify/divide the data into these predefined categories of a target variable.

Let’s look at two examples:

  • Based on the historical data related to credit card payments, loan payments, delinquency rate, outstanding balance we want to classify/divide the customers into those who default and those who do not default.
  • To access the characteristics of a customer such as his or her purchase frequency, income, age, type of bank account, occupation etc. that leads to purchase of a particular banking product such as installment loan, personal loan, checking account etc.

Let’s take a closer look at an example of classification tree analysis. Let’s say we have only two predictors, namely the level of Alcohol and free sulfur dioxide in a wine and we want to predict if wine quality (target variable) will be high or low.

example of classification tree analysis

Since the target variable wine quality contains categorical values (high and low), the classification method will be applicable, as the predictors will be classifying the data into high and low.

2) Regression Trees are used when the target variable is numeric.

Let’s look at an example:

A business will analyze the past behavior of customers on a retail website, and look at variables like the number of days from the last purchase, the brand preference, income, age, gender, website visits, location, and the total amount of purchases. If we want to predict the purchase amount by each customer, regression trees are useful. Here the target variable would be the purchase amount. Similarly, regression trees can also be used to identify the market segment, identifying who is more likely to respond to a future mailing.

In this example, the segments that have a response rate higher than the overall response rate can be targeted first since they will require less effort to convert to a purchase, whereas a different marketing strategy must be devised for the lower segments (segments that have a response rate less than the overall rate).

regression trees example

How Does Decision Tree Analysis Help an Organization to Analyze Data?

Let’s look at a few use cases that illustrate the benefits of the Decision Tree Classification Method.

Use Case – 1

Business Problem: Based on the historical customer attributes such as his/her credit card payments, loan payments, outstanding balance etc., a bank needs to classify customers into those that will default and those that will not default. In this case, the classification tree can be used to access the characteristics of customers that are likely to default.

Business Benefit: The bank can decide which customer segments are eligible for any type of loan and the customer segments that should be denied any loan, as they are likely to default. In this way, the riskier customers are identified easily and bank can avert the risk of delinquencies.

Use Case – 2

Business Problem: Based on customer attributes and past online shopping behavioral data, an online retail giant wants to predict the future purchases of customers. Here predictors can be ‘days from last purchase’, ‘brand preference’, ‘income’, ‘age’, ‘gender’, ‘website visits’, ‘location’, ‘total amount of purchase so far’ etc. As the target variable is numeric, namely the purchase amount, the regression tree can be used to predict the purchase amount by different types of customer segments.

Business Benefit: Online retailers can identify the customer segments with a higher capacity to purchase, and can design special marketing strategies for these types of segments, which are their main revenue drivers. This way, premium customers can be given special attention to retain their loyalty and in turn, revenue can be increased.

The Decision Tree analysis technique is useful in classifying and segmenting markets, types of customers and other categories in order to make decisions on where to focus enterprise resources.

About Smarten

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. Smarten Augmented Analytics tools include assisted predictive modelingsmart data visualizationself-serve data preparation and clickless analytics with natural language processing (NLP) for search analytics. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

The Smarten approach to data discovery is powered by ElegantJ BI Business Intelligence Solutions, a representative vendor in multiple Gartner reports including the Gartner Research Market Guide to Self-Service Data Preparation, as a Niche BI and Analytics Vendor in the Gartner Report, Competitive Landscape in the BI Platforms and Analytics Software, Asia/Pacific, as a Representative Vendor in the Gartner Market Guide for Enterprise-Reporting-Based Platforms, and a Listed Vendor in the Other Vendors to Consider for Modern BI and Analytics, Gartner Report.

Original Post: What is the Decision Tree Analysis and How Does it Help a Business to Analyze Data?

]]>
https://www.elegantjbi.com/blog/what-is-the-decision-tree-analysis-and-how-does-it-help-a-business-to-analyze-data.htm/feed/ 0
What is the Chi Square Test of Association and How Can it be Used for Analysis? https://www.elegantjbi.com/blog/what-is-the-chi-square-test-of-association-and-how-can-it-be-used-for-analysis.htm https://www.elegantjbi.com/blog/what-is-the-chi-square-test-of-association-and-how-can-it-be-used-for-analysis.htm#comments Tue, 16 Oct 2018 10:42:53 +0000 https://www.elegantjbi.com/blog/?p=5629 Continued]]>

This article describes chi square test of association and hypothesis testing.

What is the Chi Square Test of Association Method of Hypothesis Testing?

It is used to determine whether there is a statistically significant association between the two categorical variables. This technique is used to determine if the relationship exists between any two business parameters that are of categorical data type. One might use this technique to determine whether gender is related to a voting preference or whether the two data points are independent and unrelated. An enterprise might also use Chi Square to determine if there is a relationship between the region in which a product is purchased, and the product or category of product that is purchased.

Let’s conduct the Chi square test of independence using two variables: Gender and Product category.

Let’s conduct the Chi square test of independence using two variables: Gender and Product category

At 95% confidence level (5% chance of error) – As p-value = 0.041 which is less than 0.05, there is a statistically significant association between gender and product category purchased. So, Gender has an influence on the type of product being purchased.

At 98 % confidence level (2% chance of error) – As p-value = 0.041 which is greater than 0.02, there is no statistically significant association between gender and product category purchased, so Gender has no influence on the type of product being purchased.

chi square statistics

This analytical technique can be used for numerous purposes.

Marketing / Market Research – To determine if certain types of products sell better in certain geographic locations than others, and to verify if gender has an influence on purchasing decisions. It might be used to identify if there is an association between income level of consumers and their choice of brand. To determine If customer age has an influence on product/service subscription (assuming age is converted into age buckets such as 18 to 25, 26 – 35 etc). This technique is helpful in finding a relationship between any demographic characteristic of consumers or research respondents for education, location, gender etc. and various preferences/perspective/behavioral attributes such as entrepreneurial characteristics, product/service preferences, career preference, income level, political party preference etc.

Finance – An organization might use this technique to Identify if demographic factors influence banking channel/product/service preference or selection of a type of term plan of an insurance etc.

How Can the Chi Square Test of Association Be Used for Business Analysis?

Let’s look at a few use cases that depict the value of the Chi Square Test of Association.

Use Case – 1

Business Problem: A retail store marketing manager wants to know if there is a significant association between the geography of a customer and his/her brand preferences.

Business Benefit: Once the test is completed, p-value is generated which indicates whether there is significant association between geography and brand preference. Based on this value, a retail store marketing manager can design the ongoing marketing campaigns for different brands to address different geographical customers/prospect preferences.

Use Case – 2

Business Problem: A marketing researcher wants to know if gender has an influence on political party preference.

Business Benefit: Once the test is completed, p-value is generated which indicates whether there is significant association between gender and political party preference. If significant association is found, then both males and females can be targeted with different political campaigns to turn their votes in preference of a political client.

The Chi Square Test of Association Method of Hypothesis Testing allows businesses to test theories regarding the relationship of one or more data points to another data point to determine possible influencing factors for product purchases, or other outcomes.

About Smarten

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. Smarten Augmented Analytics tools include assisted predictive modelingsmart data visualizationself-serve data preparation and clickless analytics with natural language processing (NLP) for search analytics. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

The Smarten approach to data discovery is powered by ElegantJ BI Business Intelligence Solutions, a representative vendor in multiple Gartner reports including the Gartner Research Market Guide to Self-Service Data Preparation, as a Niche BI and Analytics Vendor in the Gartner Report, Competitive Landscape in the BI Platforms and Analytics Software, Asia/Pacific, as a Representative Vendor in the Gartner Market Guide for Enterprise-Reporting-Based Platforms, and a Listed Vendor in the Other Vendors to Consider for Modern BI and Analytics, Gartner Report.

Original Post: What is the Chi Square Test of Association and How Can it be Used for Analysis?

]]>
https://www.elegantjbi.com/blog/what-is-the-chi-square-test-of-association-and-how-can-it-be-used-for-analysis.htm/feed/ 0
Are BI Tools Designed for Production Planning & Control? https://www.elegantjbi.com/blog/can-i-find-bi-tools-for-production-planning-control.htm https://www.elegantjbi.com/blog/can-i-find-bi-tools-for-production-planning-control.htm#comments Mon, 15 Oct 2018 12:24:06 +0000 https://www.elegantjbi.com/blog/?p=5626 Continued]]> Can I Find BI Tools for Production Planning & Control?Do I Need BI Tools Designed for Production Planning and Control?

As with any other software implementation, a business may choose a solution that has a basic toolkit and features and spend time and money on customization, believing that they cannot find something that is designed to meet the needs of their industry or business function.

Fortunately, there is BI for Production Planning & Control. With the right solution, business users, managers and other team members can use analytics for production planning & control to gain insight into data, integrated from various data sources, and to share data, solve problems, get to the root cause of issues, discover opportunities and support accurate business decisions.

BI Tool for Production Planning & Control does not have to be a time-consuming, expensive proposition. What your team really needs are tools that can be implemented quickly, and used out-of-the-box, in an environment that anticipates the types of tasks, analysis and information required in the production environment. This self-serve, business user-friendly solution provides dashboards for production planning & control that are meaningful to your users without customization for business function focus.

If you want your production environment to run smoothly, you must effectively manage and control raw materials, work-in-progress, suppliers, shipments and finished goods, as well as production facilities, equipment, and resources.

Efficient, optimized production management and production planning also depends on order execution and on accurate shipping and sales forecasts. To achieve this balance, you need a concise, up-to-date view of product demand well in advance of the product need, so that the team can plan production schedules, accommodate maintenance and repair of equipment, and shift and resource allocations, thereby reducing downtime and balancing equipment and shift load.

KPI for Production Planning & Control, and reporting for production planning & control provides slice and dice, drill down, drill up, drill through, simplified forecasting and predictive analysis functionality using complex – easy-to-use – algorithms. Team members involved in production planning and control can analyze shifts and resources, assess quality issues, shipments, inventory, parts and supplies, suppliers, equipment and facility maintenance needs, sales plans and forecasts and seasonal fluctuations and new product and product upgrade or feature change requirements.

Before you decide to take on a standard BI tool and spend time and money to customize it to your needs, Contact Us to find out how Analytics for Production Planning & Control can help you achieve your goals, without high cost or extensive business user training.

]]>
https://www.elegantjbi.com/blog/can-i-find-bi-tools-for-production-planning-control.htm/feed/ 0
Self-Service Data Prep Empowers Business Users! https://www.elegantjbi.com/blog/self-serve-data-prep-and-etl-for-business-users.htm https://www.elegantjbi.com/blog/self-serve-data-prep-and-etl-for-business-users.htm#comments Mon, 15 Oct 2018 11:15:10 +0000 https://www.elegantjbi.com/blog/?p=5623 Continued]]> Self-Serve Data Prep and ETL for Business Users!What is Self-Service Data Preparation?

Self-serve data preparation allows business users with average technical skills to gather and prepare data for analysis without the help of an IT professional or a data scientist. So, why is that important? Data prep is often the forgotten step in advanced analytics but, without a self-service data preparation tool, the process can take a long time and it can result in incomplete data, data that is hard to analyze and, sometimes, a total work stoppage while IT or a data scientist attempts to sort through the issues and untangle the mess.

Data extraction, transformation and loading (AKA ETL) can be complicated but your business users don’t have the time or the patience for that complicated process. What they need is the information to make a decision, to share and to leverage to achieve goals and stay on track. Self-Serve Data ETL assures that business users can work through a few steps and engage in augmented data preparation, allowing the system to make recommendations and suggestions along the way so that the data is prepared in the right way for the type of data and the needs of the user, and the resulting analysis achieves the user goals.

These easy-to-use tools allow business users to transform, shape, reduce, combine, explore, clean, sample and aggregate data, without the need for SQL skills, ETL or other programming language.

Self-Serve Data Preparation empowers every business user and allows them to prepare data for their analytics using tools that enable data extraction transformation and loading – ETL for business users! In other words, business users can quickly move data into the analytics system without waiting for assistance.

If your business users can benefit from Self-Service Data PrepContact Us.

Original Post: Self-Serve Data Prep and ETL for Business Users!

]]>
https://www.elegantjbi.com/blog/self-serve-data-prep-and-etl-for-business-users.htm/feed/ 0
Natural Language Processing for Advanced Analytics! https://www.elegantjbi.com/blog/2018/10/10/october-10-2018/nlp-search-analytics-advanced-analysis.htm https://www.elegantjbi.com/blog/2018/10/10/october-10-2018/nlp-search-analytics-advanced-analysis.htm#comments Wed, 10 Oct 2018 10:42:55 +0000 https://www.elegantjbi.com/blog/?p=5616 Continued]]> Simple Search Analytics to Simplify Advanced AnalyticsAdvanced Analytics That Speaks Your Language!

Imagine you are trying to search for something in a store, but there is no one there to help you and all of the products are mixed up. You have to walk up and down every aisle, trying to find what you want and if you want to compare two things you will have to remember where you found that other product or drag it with you and then try to remember where to put it when you are ready to put it back. Not fun!

Now, imagine you are trying to analyze some data. For this analysis, you need to know some very specific things but you don’t have time to plow through a lot of irrelevant results in a search. Let’s go back to that store. What if there was someone standing at the entrance who could tell you exactly where to go to find what you wanted.

And, for that analytics projects, imagine that, instead of having to use drop down menus, drag and drop or other techniques to pull together what you want – imagine that you could just ask the system a question. Ask a simple question, using natural language. For example, you might ask ‘What is the best performing product in all states for 2018 as compared to 2017’ Simple, right? You just type in the question and the system does the analysis using natural language processing.

How much easier will it be to achieve data democracy and to get your business users to adopt advanced analytics in a self-serve environment? How much easier will it be to achieve the ROI and TCO you need and to gain clarity for business decisions?

Advanced Analytics with Natural Language Processing provides a familiar Google-type interface where a user can compose and enter a question using common human language. For example, a business user might ask, ‘who sold the most bakery products in 2017 in the Southwest region?’

With natural language-processing-based search capability, users do not need to scroll through menus and navigation. They can simply enter a search query in natural language and the system will translate the query, and return the results in natural language in an appropriate form, such as visualization, tables, numbers or descriptions.

If this sounds good to you, I can tell you how to get started. Search Analytics

Original Post: Simple Search Analytics to Simplify Advanced Analytics

]]>
https://www.elegantjbi.com/blog/2018/10/10/october-10-2018/nlp-search-analytics-advanced-analysis.htm/feed/ 0
Self-Serve Business Intelligence at a Reasonable Cost! https://www.elegantjbi.com/blog/2018/10/09/october-9-2018/sever-based-bi-tools-pricing.htm https://www.elegantjbi.com/blog/2018/10/09/october-9-2018/sever-based-bi-tools-pricing.htm#comments Tue, 09 Oct 2018 13:35:36 +0000 https://www.elegantjbi.com/blog/?p=5619 Continued]]> A Cost-Effective Business Intelligence Solution for Every User!Server-Based BI Tools Pricing with No Sticker Shock!

We all know the frustration of seeing something you really like, something you really need and then finding out that the price is not as low as you thought. Whether it is an item of clothing or those concert tickets with all the service fees added on, you know what I am talking about.

When it comes to Business Intelligence Solutions and advanced analytics, nearly every enterprise is feverishly working on data democratization and self-serve initiatives with an eye toward giving business users more empowerment and inspiring more accountability, more productivity and more accurate decisions. BUT, when it comes time to choose the product and begin the actual process of implementation, those same enterprises may face sticker shock.

Just like that automobile in the commercial – you know the one with all the options like a wood paneled dashboard, heated seats and a surround sound system – the one that costs four times as much as the basic model…well, pricing for BI Tools can actually result in the same kind of sticker shock.

You know that data democratization initiative you are so excited about – the one that includes hundreds of users? Wait till you see the user pricing on that business intelligence solution you like so well! That can blow your ROI and TCO out of the water.

How about an elegant, sophisticated, easy-to-use, Mobile BI Solutions that has a server-based pricing model? Wouldn’t that be nice? No per seat pricing. No adding and counting users. The pricing is simple, transparent and unbeatable!

If that sounds good to you (and to your manager) and, if that type of pricing would ease your budget woes, I have the answer for you. Here it is: Download ElegantJ BI

]]>
https://www.elegantjbi.com/blog/2018/10/09/october-9-2018/sever-based-bi-tools-pricing.htm/feed/ 0
Predictive Analytics for Business Users Will Jump Start Business Growth https://www.elegantjbi.com/blog/predictive-analytics-for-business-users-will-jump-start-business-growth.htm https://www.elegantjbi.com/blog/predictive-analytics-for-business-users-will-jump-start-business-growth.htm#comments Tue, 09 Oct 2018 11:31:53 +0000 https://www.elegantjbi.com/blog/?p=5613 Continued]]> Predictive Analytics for Business Users Will Jump Start Business GrowthPredictive Analytics is no longer limited to data scientists. Today, predictive analytics is, and must be, accessible to business users, if your enterprise is to grow and respond to the need for data democratization and increased productivity within the enterprise and to the rapid changes in the market, competition, resource and supplier needs and customer buying behavior. Every business user must have the tools to analyze data and make accurate, timely predictions and decisions.

When an organization is considering an investment or upgrade to support advanced analytics, it must offset the investment and implementation with ample benefit and advantages. The benefits of augmented analytics and, specifically, of predictive analytics and assisted predictive modeling, are numerous, so there are plenty of reasons to embrace this approach and plenty of advantages of advanced analytics.

With a self-serve analytical environment, business users can leverage predictive analytics features to plan, forecast and predict outcomes, and to anticipate the organizational needs for new locations, price changes, new products and customer segments and needs – all without the assistance of a data scientist or IT staff resource.

Benefits of Advanced Analytics and Predictive Analytics:

  • Sophisticated analytical techniques in an easy-to-use interface with no need for complex algorithms or data manipulation
  • Easy-to-use auto-recommendations for algorithms so users can explore underlying data without advanced knowledge
  • No advanced data science skills required
  • Business users can analyze, share and optimize business potential
  • Business users can prototype and hypothesize without professional assistance

These are just some of the benefits of providing predictive analytics to your business users. Advanced analytics benefits go well beyond ease-of-use for business users and extend into the organization to relieve data scientists and IT of the day-to-day responsibility of producing reports and statistics to support forecasts and planning. These benefits also improve productivity among senior executives and those whose responsibilities include strategic planning, operational planning and tactical planning.

In short, every part of the organization can benefit from advanced analytics advantages. A self-serve, data democratization approach allows the enterprise to leverage predictive analytics. You can learn more about the numerous algorithms and analytical techniques available for business users to leverage. The use of these algorithms and techniques is suggested, based on the best fit for the data to be analyzed.

There are more than twenty algorithms and analytical techniques available for business users to leverage. The use of these algorithms and techniques is suggested, based on the best fit for the data to be analyzed.

But, your users do not need to know and understand these predictive analytics techniques, because they will enjoy the convenience and ease of machine learning based auto-suggestions and recommendations for analysis based on data type and other factors. That is a true benefit!

Your organization can truly benefit from predictive analytics and from the ease-of-use and sophistication of these self-serve tools. Don’t get left behind with static tools that are little better than guesswork or tools that provide only a small piece of the entire picture. Plan, forecast and predict with confidence!

Original Post: Predictive Analytics for Business Users Will Jump Start Business Growth

]]>
https://www.elegantjbi.com/blog/predictive-analytics-for-business-users-will-jump-start-business-growth.htm/feed/ 0
ElegantJ BI and Smarten Advanced Analytics at The Vibrant Gujarat StartUp & Technology Summit, Oct 11-13, 2018 https://www.elegantjbi.com/blog/elegantjbi-and-smarten-advanced-analytics-at-the-vibrant-gujarat-startup-technology-summit-oct-11-13-2018.htm https://www.elegantjbi.com/blog/elegantjbi-and-smarten-advanced-analytics-at-the-vibrant-gujarat-startup-technology-summit-oct-11-13-2018.htm#comments Fri, 05 Oct 2018 13:35:04 +0000 https://www.elegantjbi.com/blog/?p=5610 Continued]]> ElegantJ BI and Smarten Advanced Analytics at The Vibrant Gujarat StartUp & Technology Summit, Oct 11-13, 2018ElegantJ BI announces its participation in The Vibrant Gujarat StartUp & Technology Summit 2018, October 11 through October 13 at the Helipad Exhibition Centre in Gandhinagar, Gujarat, India. Clients, partners and technology innovators are invited to visit Stall No 36, in Hall #1 to experience the Smarten approach to advanced analytics.

Kartik Patel, CEO of ElegantJ BI says, “The Smarten advanced analytics tools allow business users to leverage augmented analytics that provide machine learning-based guides and suggestions to help the business user more quickly and effectively produce clear advanced analytics. Smarten requires little to no training, thereby transforming the average business user into a Citizen Data Scientist.”

The Vibrant Gujarat Technology Summit will offer theme-based pavilions and innovative zones with exhibitions and demonstrations to highlight disruptive technologies and explore the exciting transformations in technology today. This summit provides the perfect backdrop to showcase and demonstrate Smarten Predictive Analytics Tools, Self-Serve Data Preparation for Business Users, Smart Data Visualization and its Natural Language Processing (NLP) Search Analytics features.

“The Smarten roadmap to advanced analytics includes Clickless Analytics,” says Patel. “Smarten features Natural Language Processing, and the product roadmap also includes Auto Insights, to free business users and reduce the time and skills required to produce accurate, clear results, quickly and dependably, using machine learning to collect and analyze data with the guided assistance of a ‘smart’ solution.”

Join the ElegantJ BI Team at the Vibrant Gujarat StartUp & Technology Summit, October 11 through October 13 at the Helipad Exhibition Centre in Gandhinagar, Gujarat, India, Stall #36, Hall #1 and experience the exciting evolution of business user-friendly, self-serve advanced data discovery, suitable for every member of the organization.

Read More: ElegantJ BI and Smarten Advanced Analytics at The Vibrant Gujarat StartUp & Technology Summit, Oct 11-13, 2018

]]>
https://www.elegantjbi.com/blog/elegantjbi-and-smarten-advanced-analytics-at-the-vibrant-gujarat-startup-technology-summit-oct-11-13-2018.htm/feed/ 0
Augmented Analytics Benefits are Numerous! https://www.elegantjbi.com/blog/the-benefits-of-augmented-analytics.htm https://www.elegantjbi.com/blog/the-benefits-of-augmented-analytics.htm#comments Wed, 03 Oct 2018 10:55:14 +0000 https://www.elegantjbi.com/blog/?p=5607 Continued]]> The Benefits of Augmented Analytics!Is Augmented Analytics Easy Enough for the Average Business User?

Augmented Analytics benefits a business, its users and its customers, partners and stakeholders. The advantages of augmented analytics are as numerous, varied and unique as the organization itself but, no matter the industry or type of business, one of the greatest benefits of augmented analytics is the availability and access to sophisticated analytical techniques, algorithms and processes for the average business user – WITHOUT training or skills in data science or analysis.

Each team member in your business has a particular role and skill set and you want to leverage those and optimize the positive effects of these resources. You don’t have the time, the budget or the inclination to make every business user a data scientist. You just want them to do their job to the best of their ability and that is what they want as well.

The Advantages of Advanced Analytics are well known. Analysis of available data can help your business to solve problems, identify market and competitive opportunities, establish new price points, introduce new products, understand trends and patterns, anticipate changes in customer buying behavior, identify new business locations and plan for business investment (just to name a few areas of business focus).

With augmented analytics, business users can employ computational linguistics, analytical algorithms and data mining in a self-serve environment with easy-to-use natural language search capability for swift, accurate data analysis to support data democratization and enhance the value of every team member.

Augmented Analytics performs the analysis and suggests relationships with insight into previously hidden data so business users can explore and ‘discover’ crucial business results, and improve productivity and smart decision making across the organization. The system requires no specialized skills or guesswork. Results are clear and decisions are dependable and accurate.

If your business would like to explore the Benefits of Augmented AnalyticsContact Us today.

Original Post: The Benefits of Augmented Analytics!

]]>
https://www.elegantjbi.com/blog/the-benefits-of-augmented-analytics.htm/feed/ 0
Is BI for Manufacturing an Appropriate Tool? https://www.elegantjbi.com/blog/analytics-for-manufacturing-can-streamline-business.htm https://www.elegantjbi.com/blog/analytics-for-manufacturing-can-streamline-business.htm#comments Tue, 02 Oct 2018 13:57:47 +0000 https://www.elegantjbi.com/blog/?p=5601 Continued]]> Analytics for Manufacturing Can Streamline Business!What Can Business Intelligence for Manufacturing Do to Help My Business?

Manufacturing today is complicated, and gathering and analyzing business intelligence for manufacturing can be a daunting task. Robotics, line management, supplier management, distribution, shipping, purchasing, resource management, anticipating the needs of customers and partners for the coming months and years…it’s a lot!

Even if your manufacturing business is operating in a small community, you may still have global competition, and you need to stay ahead of that. You can no longer hope to achieve a competitive advantage based on location and geography alone. Products, pricing, process, quality and features drive the market and consumers are willing to purchase products from competitors to get more favorable pricing or a better, more suitable product.

Increasing raw material costs and declining profit margins combine with government regulatory compliance policies to create a nearly impossible juggling act for even the most sophisticated manufacturing enterprise. Analytics for Manufacturing must include the monitoring and analysis of competitors, local, regional and international, and it must help business managers and team members optimize resources and achieve maximum productivity with minimum investment. Manufacturers combine innovative plans for growth with optimized, streamlined operations and resource allocation, sustain effective raw material inventory and avoid doing business with undependable suppliers, distributors and partners.

BI for Manufacturing is simple enough for every user, with sophisticated tools that allow users to gather and analyze information from supply chain systems, enterprise resource planning solutions (ERP), sales and marketing and customer relationship management systems, purchasing, shipping and distribution systems. With a complete, clear picture, users can gain insight into business processes, understand and resolve issues and forecast and predict demand for resources, supplies, inventory and equipment.

Contact Us today to get started with KPI for manufacturing and cost-effective, easy-to-use Business Intelligence for Manufacturing.

]]>
https://www.elegantjbi.com/blog/analytics-for-manufacturing-can-streamline-business.htm/feed/ 0
Advanced Analytics and Natural Language Processing! https://www.elegantjbi.com/blog/natural-language-processing-for-the-common-good.htm https://www.elegantjbi.com/blog/natural-language-processing-for-the-common-good.htm#comments Fri, 28 Sep 2018 11:36:21 +0000 https://www.elegantjbi.com/blog/?p=5598 Continued]]> Natural Language Processing for the Common Good!Search Analytics is Not Rocket Science Anymore!

No business, large or small, can afford to employ the services of dozens of data scientists or professional analysts. Budgets are tight and there are so many places we need to spend our money to help the business success and grow.

Business users and executives are used to the tools they see every day when they search the internet and it would be great to give them the same type of tools so they could search for and analyze data within the data structures and repositories of their business solutions and systems. This kind of search technology is called ‘natural language processing’ or NLP and it has revolutionized and greatly simplified queries and searches on Google and other sites.

Today’s Search Analytics need not be difficult and business users no longer need to wait for a data scientist or other skilled professional to gain insight into problem resolution, to identify trends or patterns or to get and share information and analysis across the enterprise. Instead of clicking through endless columns and screens and trying to complete advanced analytics with frustrating results, business users can leverage sophisticated analytical techniques using clickless analytics.

What is Clickless Analytics? Clickless Analytics provides seamless augmented analytics and advanced data discovery, using machine learning and natural language processing (NLP), in a self-serve environment that is easy enough for every business user resulting in increased user adoption, improved data democratization, and return on investment (ROI). Clickless Analytics democratizes advanced analytics so business users can enjoy the benefits of smart data discovery using natural language searches. Simply enter the query in natural language and let the system do the rest.

So, users might ask, ‘which sales person sold the most red t-shirts in 2017 in the Southwest region?’, and they can get an answer returned using natural language. So, there is no need to scroll through menus and navigation.

Contact Us to find out how Natural Language Processing and Clickless Analytics can simplify advanced analytics and help your business users become more of a business asset and achieve more dependable results.

Original Post: Natural Language Processing for the Common Good!

]]>
https://www.elegantjbi.com/blog/natural-language-processing-for-the-common-good.htm/feed/ 0
Deep Dive Analytics Tools We Can All Love! https://www.elegantjbi.com/blog/are-data-analytics-tools-good-for-all-types-of-users.htm https://www.elegantjbi.com/blog/are-data-analytics-tools-good-for-all-types-of-users.htm#comments Wed, 26 Sep 2018 13:27:35 +0000 https://www.elegantjbi.com/blog/?p=5595 Continued]]> Are Data Analytics Tools Good for All Types of Users?Is Deep Dive Analytics Software Suitable for Analysts AND Business Users?

The right business intelligence analytics software is a necessity. Gone are the days when guesswork and gut feelings were appropriate tools to manage your business. AND, if you are like most businesses, you are holding every team member accountable for results and for meeting objectives and goals. But, it isn’t enough to fill a conference room once a year or once a quarter and talk about goals.

Business users, managers, data scientists, IT and every other team member needs data analytics tools to meet individual needs and to gather data from various sources and quickly and clearly analyze results to identify the nuggets of information that will drive business revenue and customer satisfaction. Where buying behavior has changed, team members need Data Analytics Software to clearly see and understand results and to work with tools that are suitable for their role, skills and needs.

There is no point in frustrating business users by restricting their view and tasks to what others think they might need. Like every other role in the business, business user needs will vary from day to day and, while an advanced data analytics tool might be good for an analyst or data scientist or an IT professional, a business user needs the same sophisticated reporting and analysis in an easy-to-use environment.

Fortunately, today’s Deep Dive Analytics Tools are built for data democratization, and these tools can meet the needs of skilled users and the needs of a business user with average technical skills and analytical knowledge. With the right business intelligence analytics tools, you can satisfy the needs of everyone in the organization and, equally importantly, you can create a competitive advantage and advance the interests of your business with information that helps you identify trends and patterns, test theories and hypotheses and get the root of problems.

Contact Us today to explore the potential of Deep Dive Analytics.

]]>
https://www.elegantjbi.com/blog/are-data-analytics-tools-good-for-all-types-of-users.htm/feed/ 0
Predictive Analysis Isn’t Just for Data Scientists! https://www.elegantjbi.com/blog/predictive-analytics-for-business-users-can-help-you-plan.htm https://www.elegantjbi.com/blog/predictive-analytics-for-business-users-can-help-you-plan.htm#comments Wed, 26 Sep 2018 10:29:39 +0000 https://www.elegantjbi.com/blog/?p=5592 Continued]]> Predictive Analytics for Business Users Can Help You Plan!How Can My Business Use Assisted Predictive Modeling to Optimize Resources?

There was a time, not so long ago, when predictive analysis, business forecasting and planning for results involved guesswork and lots of unscientific review of historical data. But, today’s competitive business landscape and rapidly moving markets demand more than guesswork.

As businesses attempt to keep pace, it has become clear that data scientists and other analytical professionals are an expensive and overworked resource in the effort to accurately predict and forecast results. If you are fortunate enough to have such a staff, these professionals are probably up to their ears in critical strategic analysis.

If your business is to thrive, you must optimize all resources and knowledge at every level within the organization. Those with industry, functional or business skills must have predictive analytics for business users so that they can combine their divisional, department and group knowledge with predictive analysis tools. By providing Assisted Predictive Modeling tools to business users, the organization can allow for day-to-day planning, problem solving, and testing of hypotheses and theories to avoid missteps and allow for the sharing of data and analysis across the enterprise.

With the sophisticated, easy-to-use Predictive Analytics Tools on the market today, there is no reason that business users should not be part of the results equation! Every team member can use apply predictive analytics to any use case using forecasting, regression, clustering and other methods to analyze an infinite number of use cases including customer churn, and planning for and target customers for acquisition, identify cross-sales opportunities, optimize pricing and promotional targets and analyze and predict customer preferences and buying behaviors.

Contact Us if you want to find out how Assisted Predictive Modeling can help your business succeed.

Original Post: Predictive Analytics for Business Users Can Help You Plan!

]]>
https://www.elegantjbi.com/blog/predictive-analytics-for-business-users-can-help-you-plan.htm/feed/ 0
Can Mobile BI Software Give Your Business an Edge? https://www.elegantjbi.com/blog/mobile-bi-tools-users-are-front-and-center-on-the-road.htm https://www.elegantjbi.com/blog/mobile-bi-tools-users-are-front-and-center-on-the-road.htm#comments Tue, 25 Sep 2018 09:12:13 +0000 https://www.elegantjbi.com/blog/?p=5589 Continued]]> Mobile BI Tools: Users are Front and Center on the Road!Mobile BI Tools Don’t Stop at the Front Door of Your Business!

Where is your business intelligence? It is in the very core, veins and spine of your business and that crucial data you need is in every corner and every data repository. If you haven’t employed the benefits of mobile business intelligence, you are tying the hands of your managers and business users.

No matter how large or small your business is, no matter what industry you are in, pretty much every business has staff on the road. If your staff isn’t on the road, your staff is probably working before they hit the office, after they leave the office, on weekends and even on holidays, and pretty much every user has a variety of devices, from notebooks, tablets and laptops to desktops, smart phones and even smart watches. Without a Mobile Business Intelligence Tool, you can’t expect your team to have access to the crucial information they need to make decisions. They may have isolated or restricted data access to certain applications and data but what they really need is a mobile business intelligence dashboard that will allow them the ability to respond to urgent requests, gather and analyze data in an easy-to-use, high-performance environment that will not frustrate them or make them wait.

What that means is that the Mobile BI Software must give them access to data integrated from disparate data sources and allow them to share information, create reports, and perform sophisticated analysis without the specialized skills of a data scientist. If you want to solve problems before they wreak havoc on the enterprise, if you want to identify and capitalize on opportunities before your competitors beat you to the punch, you have to have the right tools and those tools have to be available to your users when and how they need them.

If you want to give your organization the benefits of agile Mobile Business Intelligence, contact us today to get started.

]]>
https://www.elegantjbi.com/blog/mobile-bi-tools-users-are-front-and-center-on-the-road.htm/feed/ 0
Self-Service Data Prep for Every Business User! https://www.elegantjbi.com/blog/is-self-serve-data-prep-easy-enough-for-all-users.htm https://www.elegantjbi.com/blog/is-self-serve-data-prep-easy-enough-for-all-users.htm#comments Mon, 24 Sep 2018 11:38:59 +0000 https://www.elegantjbi.com/blog/?p=5586 Continued]]> Is Self-Serve Data Prep Easy Enough for All Users?Augmented Data Preparation for Business Users Offers Many Benefits!

If your enterprise is entangled in complex data preparation and manipulation, and you want to simplify and expand the use of data preparation to leverage data integration and self-service data prep, you need to explore the potential of augmented data preparation. Data extraction, transformation and loading (ETL) can be a complex, time-consuming process, but self-serve data prep is ETL for business users.

Smart data discovery tools and augmented data preparation allows business users with average skills to perform data preparation activities and to transform, shape, reduce, combine, explore, clean, sample and aggregate data, without the need for SQL skills, ETL or other programming language.

Self-Serve Data Preparation allows every business user to prepare data for analytics using tools that enable data extraction transformation and loading and quickly move data into the analytics system without waiting for assistance from IT or data scientists.

This simplified data preparation for analytics ensures clear, meaningful access to sophisticated, intuitive tools to compile and prepare data for use in analytics so business users can test hypotheses, visualize data and create and share reports with other users.

Sophisticated, yet easy-to-use machine learning capability provides guidance to determine the best techniques and the best fit transformations for the data business users want to analyze, allowing for better understanding of data.

Contact Us now to find out how Augmented Data Preparation and Self-Service advanced analytics tools can help your business succeed.

Original Post: Is Self-Serve Data Prep Easy Enough for All Users?

]]>
https://www.elegantjbi.com/blog/is-self-serve-data-prep-easy-enough-for-all-users.htm/feed/ 0
The Tally Mobile App Makes Access Easy! https://www.elegantjbi.com/blog/tally-on-mobile-get-it-today.htm https://www.elegantjbi.com/blog/tally-on-mobile-get-it-today.htm#comments Wed, 19 Sep 2018 11:36:56 +0000 https://www.elegantjbi.com/blog/?p=5582 Continued]]> Yes, There IS Tally on Mobile! Get it Today!Does Tally Have a Mobile App?

Tally users are a dedicated bunch. They do love their Tally solution and they are loathe to be without it. But, the desktop application is not accessible to them on the road, and that is a problem. This application has become critical to the day-to-day function and decisions of many organizations and users depend on the data contained within the app to make decisions.

Now, there is the Tally Mobile App and that has definitely changed things for users who are often on the road, out of the office in meetings or working from home. A mobile app for Tally offers numerous benefits to your organization and its users.

For the organization – The enterprise can leverage its investment for better return on investment (ROI) and a more productive environment. The IT team can enable user access and ensure security of data and user information, and senior managers can achieve timely reporting and answers to critical questions for strategic issues. Tally Mobile App can support multi-company data.

For business users – Tally on mobile ensures that users have dependable access to critical Tally data and Tally dashboards, in near real time on mobile devices, from anywhere. Users can extend the office environment to work productively from the road, the office or home with information at their fingertips. The Mobile App for Tally is suitable for Android and iOS so users have the convenience of using any type of device.

You may also wish to marry Tally accounting and finance functionality with business intelligence features, so your business users can leverage this functionality. Business Intelligence for Tally is integrated with Tally features in a cost-effective, user-friendly environment to provide analytical features and personalized dashboards, as well as the ability to share data and encourage Social BI, sophisticated reporting and other features to support IT, business users and managers alike.

If your organization truly values the Tally solution and wants to extend its use of the app and its workforce access, you can end the frustration now!

Contact Us today to find out how to get the mobile app for Tally for your organization. Tally on Mobile is dependable and can be used at anytime, anywhere for complete flexibility.

Original Post: Yes, There IS Tally on Mobile! Get it Today!

]]>
https://www.elegantjbi.com/blog/tally-on-mobile-get-it-today.htm/feed/ 0
Social BI Tools Increase Collaboration and Productivity! https://www.elegantjbi.com/blog/social-business-intelligence-reaps-many-benefits.htm https://www.elegantjbi.com/blog/social-business-intelligence-reaps-many-benefits.htm#comments Tue, 18 Sep 2018 14:02:10 +0000 https://www.elegantjbi.com/blog/?p=5579 Continued]]> Social Business Intelligence Reaps Many Benefits!Social BI Software Improves Decisions and Engenders Data Sharing!

Social networking is here to stay. Your business users are familiar with these tools and, if used in the right way, these types of social tools can significantly contribute to a common understanding of information, and to collaboration and increased productivity.

Social business intelligence tools can transform business users into Citizen Data Scientists and help each user to better understand how to use data and analysis to further goals and objectives and to collaborate with other users to come up with the best solution for the business.

Social BI Tools provide an analysis portal through which business users can see popular data to rate, share and comment. This type of sharing can optimize resources by allowing users to access reports, dashboards and data that might be just what they need to complete a task or analysis. When you implement social media and social networking within the Business Intelligence environment business users can share, rate, discuss and learn from others.

With Social BI Dashboards, organizations can encourage the emergence of power users who will take a creative, insightful approach to data analysis. Just as social media users can ‘Like’ or ‘Share’ a provocative post from another user, a social business intelligence tool can support the same kind of sharing and learning within your organization.

As Social Business Intelligence gains popularity within the enterprise, managers will see improved user adoption of BI tools and will gain a better understanding of the types of data users value, and how to provide, and present, data to increase collaboration. Data agility and accessibility to share, rate, discuss and make confident decisions can help the IT staff and executives gain insight into what business users want and what they value when making a decision or creating a report.

Consider the hundreds of decisions made in your organization every day. Many of those decisions do not require 100% accurate data. These day-to-day decisions simply require enough, solid data and analysis to see a trend or a pattern or spot an opportunity or a challenge. An agile data environment creates a social network of users and allows for learning, sharing, collaboration and an increased understanding of interrelationships and dependencies within the enterprise.

If you want to reap the benefits of Social BI Software, Contact Us today to get started.

]]>
https://www.elegantjbi.com/blog/social-business-intelligence-reaps-many-benefits.htm/feed/ 0
Augmented Data Discovery is Easy Enough for Every User! https://www.elegantjbi.com/blog/advanced-data-discovery-can-benefit-every-team-member.htm https://www.elegantjbi.com/blog/advanced-data-discovery-can-benefit-every-team-member.htm#comments Mon, 17 Sep 2018 14:10:12 +0000 https://www.elegantjbi.com/blog/?p=5576 Continued]]> Advanced Data Discovery Can Benefit Every Team MemberIs Advanced Analytics Right Easy Enough for My Business Users?

The benefits of advanced data discovery do not have to be limited to data scientists or IT staff. If you choose the right data discovery tool, your business users can enjoy the benefits of confident business decisions, shared analytics and a common approach to, and understanding of, data-driven, fact-based metrics and results.

The key to data democratization and data literacy is augmented analytics. When an advanced analytics tool is designed for business users, it allows every team member to leverage advanced analytics and helps the organization to create Citizen Data Scientists.

Advanced Data Discovery allows business users to quickly and easily prepare and analyze data and to visualize and explore data, notate and highlight data and share data with others. Business users can use Advanced Data Discovery to identify the important ‘nuggets’, buried in traditional data, and to connect the dots, find exceptions, identify patterns and trends and better predict results. The right smart data discovery tool is designed for business users with average skills can do all of this without specialized skills, knowledge of statistical analysis or support from IT or professional data scientists.

An Augmented Data Discovery solution supports the business user with tools that automates data insight by utilizing machine learning and natural language to automate data preparation and enable data sharing. This advanced use, manipulation and presentation of data simplifies data to present clear results and provides access to sophisticated tools so business users can make day-to-day decisions with confidence. Users can go beyond opinion and bias to get real insight and act on data quickly and accurately.

If you want to explore the benefits of Advanced Data DiscoveryContact Us today.

Original Post: Advanced Data Discovery Can Benefit Every Team Member

]]>
https://www.elegantjbi.com/blog/advanced-data-discovery-can-benefit-every-team-member.htm/feed/ 0
Data Analytics Should Not Be Restrictive! https://www.elegantjbi.com/blog/data-analytics-tools-must-be-flexible.htm https://www.elegantjbi.com/blog/data-analytics-tools-must-be-flexible.htm#comments Fri, 14 Sep 2018 12:11:04 +0000 https://www.elegantjbi.com/blog/?p=5573 Continued]]> Data Analytics Tools Must Be FlexibleDeep Dive Analytics Tools Should Allow Users to Dive Deep Into Data!

Imagine that you know you have a problem in your business. Perhaps your sales are slipping in a particular region or your customers are no longer buying a particular product even though you have discounted and promoted the item.

To find out the root cause of a problem like this, you have to dive deep into the data, which means that data from multiple sources must be integrated and that your data analytics tool must be flexible enough to all you to drill down, drill through and manipulate data to find the source of the problem.

Deep Dive Analytics Software allows your business users to look at expense, sales, salaries, customer analytics, profitability, suppliers, and more in order to get a clear, comprehensive picture of the data. The right data analytics tools are not restrictive, so users can build the view and use the data they need and find the root cause of a problem or identify a business opportunity.

Deep dive analytics lets you dive into the data to ask questions and solve complex problems with ad hoc analysis and a large range of data operations to explore and discover answers from within the data.

A comprehensive Data Analytics Tool allows your users to analyze data for any time period and compare ad hoc time periods, and users can ask questions on the fly to make decisions. This type of BI analytics tool gives users many options so they can choose filters on unlimited dimensions and drill into the data in any way they wish. Users can add columns, compare disconnected time periods and rank, filter, sort and change data operations to get the results they need to make confident decisions.

If you need a more flexible, comprehensive view of data, discover the benefits of Data Analytics. Contact Us to find out how to get started.

]]>
https://www.elegantjbi.com/blog/data-analytics-tools-must-be-flexible.htm/feed/ 0
Assisted Predictive Modeling for Simple Business Analytics! https://www.elegantjbi.com/blog/predictive-analytics-for-business-users.htm https://www.elegantjbi.com/blog/predictive-analytics-for-business-users.htm#comments Fri, 14 Sep 2018 10:58:17 +0000 https://www.elegantjbi.com/blog/?p=5570 Continued]]> Predictive Analytics for Business UsersNo Guesswork! Just Simple, Assisted Predictive Modeling for Every Business User!

No matter the market or type of business, there is no room in today’s business landscape for guesswork. You can’t get a business loan, join with a business partner, successfully bid on a project, open a new location, hire the right employees or plan for the future without predictive analytics.

The right Predictive Analytics Tool will allow every team member to be a real asset to the organization by allowing them to analyze, monitor and share results and forecast and predict everything from new product success to pricing changes, customer buying behavior, sales and investment and risk results and market opportunities.

And, with Assisted Predictive Modeling, you can make these tasks even easier. Predictive analytics for business users should allow the average business user to capitalize on sophisticated tools and get recommendations and auto-suggestions. Predictive analytics for business users leverages machine learning and assisted predictive modeling to help users achieve the best fit and ensure that they use the most appropriate algorithm for the data they wish to analyze.

With these tools, users can explore patterns in data and receive suggestions to help them gain insight on their own without dependence on IT or data scientists. The enterprise can provide the tools needed at every level of the organization with tools and data science for business users that are sophisticated in functionality and easy-to-use for users at every skill level.

So…no guesswork, and no need for advanced skills or assistance from IT or data scientists! Contact Us to find out how Assisted Predictive Modeling can help your business succeed.

Original Post: Predictive Analytics for Business Users

]]>
https://www.elegantjbi.com/blog/predictive-analytics-for-business-users.htm/feed/ 0
What is Search Analytics and Can it Improve Self-Serve Data Discovery? (Part 2 of 3 articles) https://www.elegantjbi.com/blog/what-is-search-analytics-and-can-it-improve-self-serve-data-discovery.htm https://www.elegantjbi.com/blog/what-is-search-analytics-and-can-it-improve-self-serve-data-discovery.htm#comments Wed, 12 Sep 2018 09:25:44 +0000 https://www.elegantjbi.com/blog/?p=5567 Continued]]> What is Search Analytics and Can it Improve Self-Serve Data Discovery? (Part 2 of 3 articles)Search Analytics or search-based analytics marks the advent of a new era of business intelligence, in that it allows business users to ask a question using natural language and that question is translated by the system to produce results.

In Part II of our three-article series we discuss search analytics and how it can improve self-serve data discovery.

What is Search-Based Analytics?

One of the greatest obstacles to self-serve business intelligence was the need for a specialized skill set to use the solution. As self-serve business intelligence grew in popularity, vendors developed tools that could provide sophisticated features in a user-friendly environment so business users could leverage these tools to perform analysis and produce reports.

Search analytics takes this approach to the next level by offering an interactive environment wherein business users can obtain rapid, accurate results. These tools use natural language processing (NLP) to simplify the input and output so that users can ask questions and receive answers without programming or analytical knowledge, thereby enhancing user adoption and the clarity and usefulness of the analysis and reports the enterprise produces.

Search analytics and NLP allows for a conversational approach to business intelligence and Augmented Analytics solutions. Rather than the user scrolling through menus and navigation or using drag and drop, the user can enter a search query in natural language. The system will translate that search analytics language query into a query that the analytics platform can interpret, and return the most appropriate answer in an appropriate form such as visualization, tables, numbers or descriptions in simple human language.

Does Search-Based Analytics Improve Self-Serve Data Discovery?

The natural language processing (NLP) approach to Search Analytics allows users to process question in natural language, and presents relevant, easy-to-understand visualization reports, numbers, trends and key performance indicators (KPIs) to answer questions. The old, structured approach is gone; replaced by an expanded data environment where users can get information in a way that is meaningful to them and easy to interpret.

The enterprise can integrate business intelligence analytics with any internal and external data sources to create a foundation for fact-based, data-driven analysis that is easily accessible to business users and supports self-serve advanced data discovery. Search analytics produces clear results, and data is available in an intelligent adaptive user interface and users can access these tools from any desktop, tablet or mobile device, so users will WANT to use the solution.

Search Analytics can help your business to achieve rapid ROI and sustain low total cost of ownership (TCO) with meaningful tools that are easy to understand, and as familiar as a Google search. These tools require very little training, and provide interactive tools that ‘speak the language’ of the user.

Search analytics interprets natural language queries and presents results through smart visualization and contextual information delivered in natural language so every business users can capitalize on these tools, no matter their skill level or their analytical need.

By leveraging Natural Language Processing (NLP), Search Analytics allows for a true self-serve business intelligence environment in which data democratization can take place and wherein the enterprise can encourage the transformation of business users into Citizen Data Scientists.

For more information on this topic, read ‘What is Clickless Analysis? Can it Simplify Adoption of Augmented Analytics? (Part 1 of 3 articles)‘ and watch for the next article in the series, ‘What is Natural Language Processing & How Does it Benefit a Business? (Part 3 of 3 articles)’

Original Post: What is Search Analytics and Can it Improve Self-Serve Data Discovery? (Part 2 of 3 articles)

]]>
https://www.elegantjbi.com/blog/what-is-search-analytics-and-can-it-improve-self-serve-data-discovery.htm/feed/ 0
Out-of-the-Box Mobile Business Intelligence Software! https://www.elegantjbi.com/blog/look-for-mobile-bi-tools-that-work-on-all-devices.htm https://www.elegantjbi.com/blog/look-for-mobile-bi-tools-that-work-on-all-devices.htm#comments Tue, 11 Sep 2018 10:07:40 +0000 https://www.elegantjbi.com/blog/?p=5563 Continued]]> Look For Mobile BI Tools That Work On All DevicesTrue Mobile BI Software Is Suitable for Every Device!

Why is mobile business intelligence important? Whether you are undertaking a data democratization project to implement self-serve business intelligence or simply trying to encourage user adoption of these crucial tools, it is critical to employ mobile business intelligence software.

Today’s organization is more mobile than ever and team members work in the office, on the road and at home. If you want business users to leverage advanced analytics, and to share reports and data, you must make sure that your BI tools are truly Mobile BI.

Look for a solution that does not try to dictate the device, the screen size or the setting in which your business users will access business intelligence data. The business intelligence UI must be responsive and adaptive, so it is ready-to-use on any device, any screen size, at any time and in any place with seamless performance.

If your self-serve business intelligence initiative is to be successful, you must provide access to data in an interactive, personalized view and enable data sharing, identification of trends and patterns and user empowerment and accountability.

A Mobile BI Dashboard should accommodate today’s fast-paced, demanding business environment, and supports your users in the office and on the road. BI tools should be ready to use, out of the box without restrictive licensing and without redesign or restructure of the dashboards to accommodate specific devices and screen sizes.

The design concept for a Mobile Business Intelligence should be flexible enough to satisfy current and future mobile BI needs, so that users can leverage the solution as the enterprise changes and grows, and it should offer a one-stop, single integrated tool where users can gather, analyze and share data from multiple data sources.

Contact Us to find out how out-of-the-box Mobile BI Software can satisfy your needs.

]]>
https://www.elegantjbi.com/blog/look-for-mobile-bi-tools-that-work-on-all-devices.htm/feed/ 0
Will My Business Users Embrace Augmented Analytics? https://www.elegantjbi.com/blog/can-advanced-analytics-create-citizen-data-scientists.htm https://www.elegantjbi.com/blog/can-advanced-analytics-create-citizen-data-scientists.htm#comments Tue, 11 Sep 2018 08:13:18 +0000 https://www.elegantjbi.com/blog/?p=5560 Continued]]> Can Advanced Analytics Create Citizen Data Scientists?Advanced Analytics and Smart Data Discovery for ALL!

Don’t think that advanced analytics is too complicated for your business users. Nothing could be further from the truth! You can create Citizen Data Scientists and improve the analytical abilities and outcomes for your average business user if you give them the right tools.

What you need is Advanced Analytics Software that is designed with sophisticated analytical techniques and methods and also designed for business users, with simple navigation and tools that every user can leverage. Augmented analytics is a method of smart data discovery that guides users through the data discovery phase and allows every user to find, analyze, display and share data with others, all without the assistance of IT or a data scientist.

With the right Advanced Analytics Tools, your business users will adopt and use these tools with confidence and they can enjoy assisted predictive modeling, self-serve data preparation, smart data visualization and more!

Advance data discovery within your organization with great ROI and low TCO and a swift implementation. These tools are mobile, and will work seamlessly on any type or any size device.

Contact Us to find out how your business users and your organization can benefit from these easy-to-use Augmented Analytics.

Original Post: Can Advanced Analytics Create Citizen Data Scientists?

]]>
https://www.elegantjbi.com/blog/can-advanced-analytics-create-citizen-data-scientists.htm/feed/ 0
Can My Team Access Tally on a Mobile Device? https://www.elegantjbi.com/blog/tally-mobile-app-ensures-access-from-anywhere-at-anytime.htm https://www.elegantjbi.com/blog/tally-mobile-app-ensures-access-from-anywhere-at-anytime.htm#comments Tue, 04 Sep 2018 10:03:10 +0000 https://www.elegantjbi.com/blog/?p=5556 Continued]]> A Tally Mobile App Ensures Access From Anywhere, at Anytime!What Can Your Team Do with a Tally Mobile App?

If you and your enterprise use accounting software, you are probably very familiar with Tally. This popular solution is the foundation for accounting and financial tasks and it has many useful features like ad-hoc data mining and visualization. Every enterprise today struggles with the need for immediate access to critical tools. For those on the road, working from home or jumping from one device to another, it can be frustrating to lose secured access to Tally when you need to complete tasks, create reports or make decisions.

For the business that wants full access to Tally dashboards, its features and data AND access to tools to gather, clarify, analyze, report and share data, it is important to have a mobile app that provides all of this functional You can give your users online and offline access to critical tools and data from Tally.

A Mobile App for Tally can give you on-premises Tally installation, connected to the Desktop App and a connection from the Desktop App to a secured cloud server to push data at a predefined frequency. A native mobile app communicates with the cloud server to fetch and display required data, graphs and reports and all interaction and transactions are secure.

What if your business users could leverage Tally on Mobile devices to manage and monitor results? Given the right tools, you can easily implement a performance driven culture and be ready to take on the market with accurate, clear data and reports that will help you analyze and plan at the strategic, operational and tactical level from ANY device, at any time.

If your business needs to combine Tally functionality with business intelligence features, your business users can leverage this functionality as well. Business Intelligence for Tally provides value-add analytical features and expanded, personalized reporting with drill-down, drill-through, deep dive analytics, forecasting and planning, KPIs and more to support data democratization initiatives and business users and managers alike.

Contact Us today to explore the benefits of Tally Mobile App and discover the value and results for your users and your organization.

Original Post: A Tally Mobile App Ensures Access From Anywhere, at Anytime!

]]>
https://www.elegantjbi.com/blog/tally-mobile-app-ensures-access-from-anywhere-at-anytime.htm/feed/ 0
Social BI Is Great for the Enterprise! https://www.elegantjbi.com/blog/2018/08/30/august-30-2018/social-bi.htm https://www.elegantjbi.com/blog/2018/08/30/august-30-2018/social-bi.htm#comments Thu, 30 Aug 2018 10:52:53 +0000 https://www.elegantjbi.com/blog/?p=5550 Continued]]> Social Business Intelligence for Biz Users & Biz ResultsSocial BI Encourages Sharing, Learning and Data Popularity!

Social Business Intelligence, AKA Social BI, may seem like a frivolous achievement, but it is far from frivolous! Consider what happens when people share and collaborate. And, if you expand the view of Social BI benefits, you will discover that business users who have access to a Social BI environment can also improve business readiness, agility and results.

Sharing can optimize resources by allowing users to access reports, dashboards and data that might be just what they need to complete a task or analysis. When you implement social media and social networking within the Business Intelligence environment business users can share, rate, discuss and learn from others. As users share data and reports, there is a natural emergence of power users and those who produce popular data, reports and analysis.

As users, and data analysis become ‘popular’, a business will see improved user adoption of BI tools and begin to understand the types of data that users value, and can more easily provide data to improve data leverage, and increase confidence in decisions.

Everyone is used to sharing, rating, discussing and learning from others, and this concept applies to Social Business Intelligence as well. When users share and rank, resources are optimized and objectives and goals are easier to achieve with a common understanding of data and, more importantly, the reasons for the challenges and opportunities the organization faces.

With solid data and analysis, every user can spot a trend or a pattern and users can drill down and dive into data without having to ask for help from IT or from an analyst. This critical agility will move your organization forward with dependable data and prevent delays in critical decisions. Your business can create a social network of users and allow for continuous learning, sharing, collaboration and an increased understanding of interrelationships and dependencies within the enterprise.

It’s easy to achieve Social BI and to get the tools you need to encourage this environment. Start here: Social BI

]]>
https://www.elegantjbi.com/blog/2018/08/30/august-30-2018/social-bi.htm/feed/ 0
Natural Language Processing for Advanced Analytics! https://www.elegantjbi.com/blog/2018/08/29/august-29-2018/natural-language-processing.htm https://www.elegantjbi.com/blog/2018/08/29/august-29-2018/natural-language-processing.htm#comments Wed, 29 Aug 2018 07:06:27 +0000 https://www.elegantjbi.com/blog/?p=5546 Continued]]> NLP and Advanced Analytics Go Hand-in-HandDoes Natural Language Processing Work with Advanced Analytics?

Natural Language Processing (NLP) is a trend that has taken over technology. Vendors are applying this technique to all types of searching and Advanced Analytics is no exception.

Nearly every enterprise is working on data democratization and wants to transform its business users into Citizen Data Scientists with easy-to-use tools that offer sophisticated analytical techniques and simple access and analysis – no matter the skill level of the user. Imagine what you could do with advanced data discovery that allows users to use normal, natural language to ask questions and make queries and to get results in the same way, without advanced skills or knowledge of technical language or statistical terminology or techniques.

You really don’t have to imagine, because you CAN do that…right now!

Natural Language Processing fuels data democratization, and gives business users to tools to perform searches by asking a question, so they don’t have to use menus or drag and drop, they can just type in a natural query search much as they are used to doing on Google. For example, a user might ask ‘what is best selling product in Arizona’, or ‘show me the best performing product category compared to last year for all states’.

With natural language processing Search Analytics, users can enter a search query in natural language and the system will translate the query, and return the results in natural language in an appropriate form, e.g., visualization, tables, numbers or descriptors.

With a seamless augmented analytics solution, and advanced data discovery, using machine learning and natural language processing the enterprise gets a solution that is easy enough for every business user resulting in increased user adoption, improved data democratization, and return on investment (ROI).

If you want to explore the opportunities provided by Advanced Analytics with NLP, you can find answers here: Smarten with NLP

Original Post: NLP and Advanced Analytics Go Hand-in-Hand

]]>
https://www.elegantjbi.com/blog/2018/08/29/august-29-2018/natural-language-processing.htm/feed/ 0
ElegantJ BI Announces ElegantJ BI Mobile App for Tally® https://www.elegantjbi.com/blog/elegantjbi-announces-elegantjbi-mobile-app-for-tally.htm https://www.elegantjbi.com/blog/elegantjbi-announces-elegantjbi-mobile-app-for-tally.htm#comments Mon, 27 Aug 2018 10:18:39 +0000 https://www.elegantjbi.com/blog/?p=5539 Continued]]> ElegantJ BI Announces ElegantJ BI Mobile App for Tally®ElegantJ BI Tally® ISV partnership evolves with ElegantJ BI Mobile App for Tally. Access from anywhere – key indicators, trends, and more.

ElegantJ BI is proud to announce the ElegantJ BI Mobile App for Tally®. The mobile app allows Tally users to leverage a familiar Tally ERP application and access its data in a mobile environment from a smart phone, providing numerous benefits and business advantages, including access to critical data in online or in offline mode.

ElegantJ BI CEO, Kartik Patel, says, “Tally users understand the value of the Tally and its features. Now, you can access your Tally data using the ElegantJ BI Mobile App for Tally, and enjoy access to Tally and BI tools on the road, in the office – anywhere. The mobile app represents an evolution and expansion of the ISV relationship between ElegantJ BI and Tally.”

Businesses can download the ElegantJ BI Mobile App for Tally for free and evaluate the app for free for a period of one (1) month. Users can get started in ten (10) minutes. ElegantJ BI offers support for download, registration and training and licensing fees are affordable – Rs. 1999 per year following free evaluation period. Users can pay and renew online or offline, in local currency. The license provides unlimited company access and data transfer for registered users.

“We designed an easy-to-use, native mobile app with a great user interface,” says Patel. “The ElegantJ BI Mobile App for Tally is available for iOS and Android and users can access data online or offline to save expensive data transfers.”

The mobile app requires an on-premises desktop app connected to the secured cloud server. The native mobile app communicates with the ElegantJ BI mobile app cloud server to fetch and display required data, graphs and reports. All interaction and transactions are secure.

Users can view a snapshot of key indicators like cash balance, bank balance, receipts, payments, stock, inwards, outwards, payables, receivables and trends year-over-year with daily month to date (MTD), year to date (YTD) balances, and the last ten (10) transactions of various types.

TRY IT FOR FREE

Download Here

Tally Solution partners can also benefit from a relationship with ElegantJ BI and its innovative, mobile BI tools and solutions. ElegantJ BI invites Tally partners to explore a relationship with ElegantJ BI and find out more about its partnership program.

Original Post: ElegantJ BI Announces ElegantJ BI Mobile App for Tally®

]]>
https://www.elegantjbi.com/blog/elegantjbi-announces-elegantjbi-mobile-app-for-tally.htm/feed/ 0
Establish a Solid Foundation for Advanced Analytics https://www.elegantjbi.com/blog/establish-solid-foundation-for-advanced-analytics.htm https://www.elegantjbi.com/blog/establish-solid-foundation-for-advanced-analytics.htm#comments Fri, 17 Aug 2018 12:40:21 +0000 https://www.elegantjbi.com/blog/?p=5535 Continued]]> Establish a Solid Foundation for Advanced AnalyticsAs advanced analytics and self-serve, augmented analytical tools make their way into the average enterprise, the average organization struggles to quantify the effects and, moreover, to understand and leverage the changes within the business.

Every company is different and the impact of these types of tools will be unique in some ways, but there are many ways in which the introduction of advanced analytics to business users will typically impact your business. It is always wise to establish metrics and to focus on major changes within the organization to be sure you can measure success and capitalize on new tools in as many ways as possible.

But, how do you begin to understand the implications of these changes? Here are a few ideas that will help you understand how augmented analytics can and does affect business results and the culture of the organization.

Do Your Homework: Use every opportunity at industry association conferences and among colleagues to explore how other businesses are researching and measuring their own results. Learn from those who are ahead of you on the curve to save time and frustration in your own research. Read articles on the subject to get ideas and apply the appropriate techniques to your own organization. There isn’t much out there yet in terms of conference topics or expert training. But, the idea is gaining ground as markets and organizations adjust to the idea that data analytics and self-serve access can benefit and change data literacy, as well as the approach to and foundation of business decisions, and the collaborative power and application of analytics within the business structure.

Focus on Culture: When you make major changes within your organization, there is always fallout. Changing access to data, and allowing business users to become more familiar with analytics and more knowledgeable about how to use them in everyday decisions will most certainly change the dynamic within your organization. More education, more knowledge, more access means will encourage balance and involvement. Trying to manage a team or organization, and the flow of information will definitely change in the brave, new world of self-serve analytics. Team members with more knowledge and skill will understandably expect to have more input on decisions and will be equipped with more information. That means they are likely to express more solid, well-conceived opinions everything from objectives to the tasks and skills required to achieve goals. Data sharing will also improve team collaboration and will engender data popularity and reveal power users and those with creative ideas about how to use data. The biggest mistake an enterprise can make is to try to manage in the same old way after introducing new tools and increased data access. An organization that has the vision to implement self-serve, augmented analytics must also have the vision to recognize the impact on the culture and to support team members as they explore these tools and evolve into Citizen Data Scientists. To ignore this transition will frustrate users, restrict the evolution of the corporate culture and impede business progress.

Look to the Data: Explore user adoption, data-driven decisions and the affects of integrated, uniform data access, and data governance. Use the data pool, user base and information about data access and reporting to measure usage, user satisfaction, and the impact on the culture and data integrity and literacy. Survey IT, data analysts and business managers about the optimization of time and resources and use that data to support further expansion of, and investment in, self-serve advanced analytical tools.

Expand Your Vision: Once you and your team have a better understanding of the impact of these tools, and your new data-driven, collaborative culture is on solid ground, you can explore the expansion of these tools to partner networks, suppliers, and other stakeholders.

Data is power and this power is no longer restricted to IT, data scientists or those with advanced skills. New, improved, self-serve, augmented analytics provide guidance and recommendations at every turn so that business users can function with confidence and optimize their own skills and knowledge to add value to the organization. As this industry changes and grows, businesses will gain a more comprehensive understanding of how the tools affect collaboration, business success and the corporate culture. Don’t wait for the formal research. Get started on your own now. If you can focus on the inherent changes and capitalize on the benefits to support the culture and work process changes as they evolve, you will be in a better position to compete in your market and to retain and optimize your human resources and competitive advantage.

Original Post: Establish a Solid Foundation for Advanced Analytics

]]>
https://www.elegantjbi.com/blog/establish-solid-foundation-for-advanced-analytics.htm/feed/ 0
What is FP Growth Analysis and How Can a Business Use Frequent Pattern Mining to Analyze Data? https://www.elegantjbi.com/blog/what-is-fp-growth-analysis-and-how-can-a-business-use-frequent-pattern-mining-to-analyze-data.htm https://www.elegantjbi.com/blog/what-is-fp-growth-analysis-and-how-can-a-business-use-frequent-pattern-mining-to-analyze-data.htm#comments Tue, 14 Aug 2018 13:28:32 +0000 https://www.elegantjbi.com/blog/?p=5531 Continued]]>

This article provides a brief explanation of the FP Growth technique of Frequent Pattern Mining.

What is the FP Growth Algorithm?

Frequent pattern mining (previously known as Association) is an analytical algorithm that is used by businesses and, is accessible in some self-serve business intelligence solutions. The FP Growth analytical technique finds frequent patterns, associations, or causal structures from data sets in various kinds of databases such as relational databases, transactional databases, and other forms of data repositories.

When considering a particular set of transactions, association rule mining aims to find the rules that will enable businesses to predict the occurrence of a specific item based on the occurrences of the other items in the transaction.

This technique can used to analyze numerous types of datasets.

  • Basket data analysis – To analyze the association of purchased items in a single basket or single purchase.
  • Cross marketing/Selling – To work with other businesses that complement your business, but not your competitors. For example, vehicle dealerships and manufacturers have cross marketing campaigns with oil and gas companies for obvious reasons.
  • Catalog Design – The selection of items in a business catalog are often designed to complement each other so that buying one item will lead to buying of another. So these items are often complements or related.
  • Medical Treatments – Each patient is represented as a transaction containing the ordered set of diseases, and which diseases are likely to occur simultaneously or sequentially and can therefore be predicted.

How Does a Business Use the FP Growth method of Frequent Pattern Mining to Analyze Data?

Let’s look at a few use cases, where the FP Growth method of Frequent Pattern Mining can be used to benefit the organization.

Use Case – 1

Business Problem: A retail store manager wants to conduct Market Basket analysis to come up with better strategy of products placement and product bundling.

How Does a Business Use the FP Growth method of Frequent Pattern Mining to Analyze Data?

Business Benefit: The darker segments reveal the ideal methods of product bundling and placement to increase cross-sales. Based on the association rules generated, the store manager can strategically place the products together or in sequence leading to growth in sales and in turn revenue of the store. The business can develop promotions and offers, e.g., “Buy this and get this free” or “Buy this and get % off on another product”.

Use Case – 2

Business Problem: A bank marketing manager wishes to analyze which products are frequently and sequentially bought together. Each customer is represented as a transaction containing the ordered set of products, and which products customers are likely to purchase simultaneously, and sequentially.

Business Benefit: Based on the rules generated, the organization can determine which banking products can be cross sold to each existing or prospective customer to drive sales and bank revenue. For instance, if saving, personal loan and credit card are frequently sequentially bought, then a new saving account customer can be cross sold with personal loan and credit card services and products.

Frequent Pattern Mining and the FP Growth analytical technique are useful to identify patterns of purchases, behaviors and frequent and sequential occurrences based on historical data and demographics.

About Smarten

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. Smarten Augmented Analytics tools include assisted predictive modelingsmart data visualizationself-serve data preparation and clickless analytics with natural language processing (NLP) for search analytics. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

The Smarten approach to data discovery is powered by ElegantJ BI Business Intelligence Solutions, a representative vendor in multiple Gartner reports including the Gartner Research Market Guide to Self-Service Data Preparation, as a Niche BI and Analytics Vendor in the Gartner Report, Competitive Landscape in the BI Platforms and Analytics Software, Asia/Pacific, as a Representative Vendor in the Gartner Market Guide for Enterprise-Reporting-Based Platforms, and a Listed Vendor in the Other Vendors to Consider for Modern BI and Analytics, Gartner Report.

Original Post: What is FP Growth Analysis and How Can a Business Use Frequent Pattern Mining to Analyze Data?

]]>
https://www.elegantjbi.com/blog/what-is-fp-growth-analysis-and-how-can-a-business-use-frequent-pattern-mining-to-analyze-data.htm/feed/ 0
What is ARIMA Forecasting and How Can it Be Used for Enterprise Analysis? https://www.elegantjbi.com/blog/what-is-arima-forecasting-and-how-can-it-be-used-for-enterprise-analysis.htm https://www.elegantjbi.com/blog/what-is-arima-forecasting-and-how-can-it-be-used-for-enterprise-analysis.htm#comments Tue, 14 Aug 2018 12:49:34 +0000 https://www.elegantjbi.com/blog/?p=5527 Continued]]>

This article provides a brief explanation of the ARIMA method of analytical forecasting.

What is ARIMA Forecasting?

Autoregressive Integrated Moving Average (ARIMA) predicts future values of a time series using a linear combination of its past values and a series of errors. This analytical forecasting method is suitable for instances when data is stationary/non stationary and is univariate, with any type of data pattern, i.e., level/trend/seasonality/cyclicity.

For more information about data trend and pattern analysis techniques, read our article entitled, ‘ What Are Data Trends and Patterns, and How Do They Impact Business Decisions?’

The ARIMA model is suggested for short term forecasting. ARIMA is only for univariate data forecasts, but there might be other variables affecting the output/dependent variable. ARIMA doesn’t take into account the influence of other predictors while forecasting, hence forecasts made might not be accurate.

Let’s look at an example of a monthly analysis of monthly index values. The plot of this data suggests that this is non-stationary data and that it shows a gradual upward trend (see the figure below). The ARIMA algorithm would be a suitable method for forecasting analysis because the data exhibits non-stationarity, and trend.

What is ARIMA Forecasting?

The ARIMA forecasting technique uses three primary parameters for analysis within the model.

p: to apply autoregressive model on series
d: to apply differencing on series. It converts non-stationary data to stationary to allow for a fairly constant level over time
q: to apply moving average model on series

How Can the ARIMA Forecasting Method Be Used for Enterprise Analysis?

In order to further examine the ARIMA forecasting method, and its application within an organization, let’s look at a sample use case.

Business Problem: A pharmaceutical company wants to predict the sales of a drug for the next two months, based on drug sales data from the past 12 months.

Data Pattern: Input data exhibits non-stationarity and cyclical pattern.

Business Benefit: The business can make use of these forecasts for better planning of drug production and accuracy of sales targets. This analysis also helps to balance supply and demand for the drug.

The ARIMA forecasting method is suitable for forecasting when data is stationary or non-stationary and is univariate with any type of data pattern. It will produce accurate, dependable forecasts, when planning for short-term business results. ARIMA provides forecasted values of the target variables for user-specified periods to clearly illustrate results for planning, production, sales and other factors.

About Smarten

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. Smarten Augmented Analytics tools include assisted predictive modelingsmart data visualizationself-serve data preparation and clickless analytics with natural language processing (NLP) for search analytics. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

The Smarten approach to data discovery is powered by ElegantJ BI Business Intelligence Solutions, a representative vendor in multiple Gartner reports including the Gartner Research Market Guide to Self-Service Data Preparation, as a Niche BI and Analytics Vendor in the Gartner Report, Competitive Landscape in the BI Platforms and Analytics Software, Asia/Pacific, as a Representative Vendor in the Gartner Market Guide for Enterprise-Reporting-Based Platforms, and a Listed Vendor in the Other Vendors to Consider for Modern BI and Analytics, Gartner Report.

Original Post: What is ARIMA Forecasting and How Can it Be Used for Enterprise Analysis?

]]>
https://www.elegantjbi.com/blog/what-is-arima-forecasting-and-how-can-it-be-used-for-enterprise-analysis.htm/feed/ 0
What is the Multinomial-Logistic Regression Classification Algorithm and How Does One Use it for Analysis? https://www.elegantjbi.com/blog/what-is-the-multinomial-logistic-regression-classification-algorithm-and-how-does-one-use-it-for-analysis.htm https://www.elegantjbi.com/blog/what-is-the-multinomial-logistic-regression-classification-algorithm-and-how-does-one-use-it-for-analysis.htm#comments Tue, 14 Aug 2018 12:00:52 +0000 https://www.elegantjbi.com/blog/?p=5523 Continued]]>

This article provides a brief definition of the multinomial-logistic regression classification algorithm and its uses and benefits.

What is the Multinomial-Logistic Regression Classification Algorithm?

Logistic regression measures the relationship between the categorical target variable and one or more independent variables It deals with situations in which the outcome for a target variable can have two or more possible types. Logistic regression makes use of one or more predictor variables that can be either continuous or categorical and predicts the target variable classes. Logistic regression model output is helpful in identifying important factors that will impact the target variable and the nature of relationships between each of these factors and dependent variables.

What is the Multinomial-Logistic Regression Classification Algorithm?

This analysis reveals the following:

  • Age – Multinomial logit (Natural log of the proportion of High Satisfaction to that of Medium satisfaction) estimate for 1 year increase in age for high job satisfaction relative to medium job satisfaction when other independent variables are held constant = 1.54
  • Male vs. Female – Multinomial logit estimate for comparing male to females for high job satisfaction relative to medium job satisfaction when other variables are held constant = 0.67

How Does One Use the Multinomial-Logistic Regression Classification Algorithm?

Multinomial-Logistic Regression Classification can be applied to analyze numerous factors.

  • Medical Diagnosis – Given a list of symptoms, one can predict if a patient is likely to be diagnosed with initial/intermediate/serious stages of a particular disease.
  • Weather Prediction – Based on temperature, humidity, pressure etc. this analysis can predict rainy/sunny/cold weather.
  • Satisfaction Analysis – Based on the attributes of a respondent e.g., demographics, marital status, gender, income, age, qualification etc., analysis can check the level of likely satisfaction with life/job/product/services.

Let’s look at two use cases:

Use Case – 1

Business Problem: A research agency wants to predict the likelihood of each election candidate being voted on by each voter and in turn devise a strategy to take proactive steps. The analysis can include specific data points such as ‘preferred party name’ and predictors might include customer demographics such as age, income, qualification, occupation, gender, religion and past voting status etc.

Business Benefit: By having knowledge of the probable election outcome, the organization can develop a proper strategy to address the discrepancies between expectations and predictions and identify the segments with a high likelihood of voting oppositions to effectively target voters and achieve more votes in favor of a particular candidate.

Use Case – 2

Business Problem: A doctor wants to predict the likelihood of a new patient having a disease that is in the initial/moderate/severe stage based on various health and body attributes of a patient such as blood pressure, hemoglobin, blood sugar, red blood count, etc.

Business Benefit: Given the profile of a patient and predicted level of disease, the doctor can determine the right treatment and/or medication.

The Multinomial-Logistic Regression Classification Algorithm is useful in identifying the relationships of various attributes, characteristics and other variables to a particular outcome.

About Smarten

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. Smarten Augmented Analytics tools include assisted predictive modelingsmart data visualizationself-serve data preparation and clickless analytics with natural language processing (NLP) for search analytics. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

The Smarten approach to data discovery is powered by ElegantJ BI Business Intelligence Solutions, a representative vendor in multiple Gartner reports including the Gartner Research Market Guide to Self-Service Data Preparation, as a Niche BI and Analytics Vendor in the Gartner Report, Competitive Landscape in the BI Platforms and Analytics Software, Asia/Pacific, as a Representative Vendor in the Gartner Market Guide for Enterprise-Reporting-Based Platforms, and a Listed Vendor in the Other Vendors to Consider for Modern BI and Analytics, Gartner Report.

Original Post: What is the Multinomial-Logistic Regression Classification Algorithm and How Does One Use it for Analysis?

]]>
https://www.elegantjbi.com/blog/what-is-the-multinomial-logistic-regression-classification-algorithm-and-how-does-one-use-it-for-analysis.htm/feed/ 0
What is the KMeans Clustering Algorithm and How Does an Enterprise Use it to Analyze Data? https://www.elegantjbi.com/blog/what-is-the-kmeans-clustering-algorithm-and-how-does-an-enterprise-use-it-to-analyze-data.htm https://www.elegantjbi.com/blog/what-is-the-kmeans-clustering-algorithm-and-how-does-an-enterprise-use-it-to-analyze-data.htm#comments Fri, 10 Aug 2018 10:02:46 +0000 https://www.elegantjbi.com/blog/?p=5518 Continued]]>

This article provides a brief explanation of the KMeans Clustering algorithm.

What is the KMeans Clustering algorithm?

The KMeans Clustering algorithm is a process by which objects are classified into number of groups so that they are as much dissimilar as possible from one group to another, and as much similar as possible within each group. KMeans Clustering is a grouping of similar things or data. For example, objects within group 1 (cluster 1) shown in image below should be as similar as possible.

What is the KMeans Clustering algorithm?

But there should be much difference between an object in group 1 and group 2.

The attributes of objects decide which objects should be grouped together. This method is used to find groups that have not been explicitly labeled in the data, and it can be used to confirm business assumptions about what types of groups exist, or to identify unknown groups in complex data sets. Once the algorithm has been run and the groups are defined, any new data can be easily assigned to the correct group.

How Does an Enterprise Use the KMeans Clustering Algorithm to Analyze Data?

In order to understand how best to make use of this algorithm; let’s look at some general examples, followed by some business use cases.

  • Loan applicants in a bank might be grouped as low, medium, and high risk applicants based on applicant age, annual income, employment tenure, loan amount, the number of times a payment is delinquent etc.
  • A movie ticket booking website can group users into frequent ticket buyers, moderate ticket buyers and occasional ticket buyers, based on past movie ticket purchases.

KMeans Clustering can be applied to segment customers by purchasing history, segment users by the activities they perform on a website, define demographic profiles based on interests, and recognize market patterns.

Use Case – 1

Business Problem: Organizing customers into groups/segments based on similar traits, product preferences and expectations. Segments are constructed on basis of the customers’ demographic characteristics, psychographics, past behavior and product use behaviors.

Business Benefit: Once the segments are identified, marketing messages and even products can be customized for each segment. The better the segment(s) chosen for targeting by a particular organization, the more successful it is assumed to be in the market place.

Use Case – 2

Business Problem: Discount Analysis and Customer Retention will help the organization to target discounts to specific customers and the business will need to visualize ‘segments of sales group based on discount behavior’ and ‘customer churn to identify segments of customers on the verge of leaving’.

Business Benefit: The business marketing team can focus on risky customer segments in an efficient way in order to avoid losing those customers. Sales team segments that are facing challenges based on any current discounting strategy can be identified and a deal negotiation strategy can be improved and optimized.

The KMeans Clustering algorithm is very useful in identifying patterns within groups and understanding the common characteristics to support decisions regarding pricing, product features, risk within certain groups, etc.

About Smarten

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. Smarten Augmented Analytics tools include assisted predictive modelingsmart data visualizationself-serve data preparation and clickless analytics with natural language processing (NLP) for search analytics. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

The Smarten approach to data discovery is powered by ElegantJ BI Business Intelligence Solutions, a representative vendor in multiple Gartner reports including the Gartner Research Market Guide to Self-Service Data Preparation, as a Niche BI and Analytics Vendor in the Gartner Report, Competitive Landscape in the BI Platforms and Analytics Software, Asia/Pacific, as a Representative Vendor in the Gartner Market Guide for Enterprise-Reporting-Based Platforms, and a Listed Vendor in the Other Vendors to Consider for Modern BI and Analytics, Gartner Report.

Original Post: What is the KMeans Clustering Algorithm and How Does an Enterprise Use it to Analyze Data?

]]>
https://www.elegantjbi.com/blog/what-is-the-kmeans-clustering-algorithm-and-how-does-an-enterprise-use-it-to-analyze-data.htm/feed/ 0
What is Descriptive Statistics and How Do You Choose the Right One for Enterprise Analysis? https://www.elegantjbi.com/blog/what-is-descriptive-statistics-and-how-do-you-choose-the-right-one-for-enterprise-analysis.htm https://www.elegantjbi.com/blog/what-is-descriptive-statistics-and-how-do-you-choose-the-right-one-for-enterprise-analysis.htm#comments Fri, 10 Aug 2018 08:35:21 +0000 https://www.elegantjbi.com/blog/?p=5509 Continued]]>

This article provides a brief explanation of the definition and uses of the Descriptive Statistics algorithms.

What is a Descriptive Statistics?

Descriptive statistics helps users to describe and understand the features of a specific dataset, by providing short summaries and a graphic depiction of the measured data. There are numerous methods of descriptive statistics, including Mean, Median, and Mode methods of averaging data and percentile, quartile, skewness and standard deviation/variance measurements as well as plotting methods like box plots and histograms.

To better understand these methods, let’s take a moment to review each.

Mean is the average of all the data values. This measurement can be biased in a case where there are a significant number of outliers present in the data.

Median is the value in the middle when the data items are arranged in ascending order. This measure is relatively robust where there are a significant number of outliers present in data.

Mode is the most frequently occurring value in a series of data. If there is no repeating value in the data, there would be no mode.

Percentile represents a percentage position in a list of data. For example, the 20th percentile is the value below which 20% of the observations may be found.

Percentile

Quartile represents the specific percentiles which divide the dataset into four equal parts. For example, Q1 = 25th Percentile, Q2 = 50th Percentile = Median, Q3 = 75th Percentile.

Quartile

Standard Deviation/Variance are both popular measures of the spread of data points measured from a center value mean.

Standard Deviation/Variance

Skewness is a measure of symmetry. A dataset is symmetric if it looks the same to the left and right of the center point.

Skewness

Histogram is a graphical display where the data is grouped into buckets and then plotted as bars.

Histogram

Box Plot is a standardized way of displaying data distribution based on the five-number summary: minimum, first quartile, median, third quartile, and maximum.

Box Plot

How Does One Choose the Right Descriptive Statistics Algorithm for Enterprise Analysis?

Let’s look at a few use cases for the various types of descriptive statistics.

1) Mean/Median

Business Problem: Find out the average age and income for a particular type of product category purchased.

Business Benefit: By identifying mean/median income of this segment, one can target marketing to this segment in order to improve ROI and sales revenue. Be sure to choose the right method for the type of data. For example, median is a better measure than mean if the business wishes to get an accurate picture. The median method would more accurately address the outliers in terms of extreme income values, whereas the mean method would skew the overall average when extreme income values are taken into the dataset.

2) Mode

Business Problem: Identify the most popular dish served in the restaurant or find out the most frequent rating given by customers for a given movie/ restaurant or most frequent size or category of a sold product etc.

Business Benefit: By identifying the mode of a name of Dish purchased, a restaurant owner can determine the most popular dish and decide on pricing and anticipate the need to order ingredients.

3) Percentile

Business Problem: A bank’s loan manager needs to find out the percentile distribution of the credit score of the loan applicants.

Business Benefit: By checking the credit score distribution, the loan manager will know the percentage of applicants that fall in the top 10 percentile and can estimate the total number of eligible loan applicants based on the bank’s set criteria for loan eligibility in terms of credit score.

4) Quartile

Business Problem: A business owner wants to reduce the business process cycle time.

Business Benefit: By checking Q1, Q3 and Inter quartile range (Q3-Q1) values of each step of the process, the owner can determine which particular step has a scope of time reduction.

5) Standard Deviation/Variance

Business Problem: A stock broker wants to analyze the price volatility of a stock as a measure of risk.

Business Benefit: By analyzing the standard deviation or variance, one can measure the risk associated with a particular stock in terms of price fluctuations.

6) Skewness/Histogram

Business Problem: A quality control manager of a company producing elevator rails needs to know which machine is ideal to produce rails.

Business Benefit: If the required diameter for an elevator rail is 3 inches, the quality control manager can determine which machines would produce rails that are too narrow and which would be too wide and choose the right machine without producing samples that would result in lost time and waste materials.

Flexible self-serve business intelligence and analytical tools will ensure data democratization among business users, and provide a comprehensive toolset to be used for planning methods and to test theories and clearly illustrate results by type, time period or other variables. Descriptive Statistical algorithms are sophisticated techniques that, within the confines of a self-serve analytical tool, can be simplified in a uniform, interactive environment to produce results that clearly illustrate answers and optimize decisions.

About Smarten

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. Smarten Augmented Analytics tools include assisted predictive modelingsmart data visualizationself-serve data preparation and clickless analytics with natural language processing (NLP) for search analytics. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

The Smarten approach to data discovery is powered by ElegantJ BI Business Intelligence Solutions, a representative vendor in multiple Gartner reports including the Gartner Research Market Guide to Self-Service Data Preparation, as a Niche BI and Analytics Vendor in the Gartner Report, Competitive Landscape in the BI Platforms and Analytics Software, Asia/Pacific, as a Representative Vendor in the Gartner Market Guide for Enterprise-Reporting-Based Platforms, and a Listed Vendor in the Other Vendors to Consider for Modern BI and Analytics, Gartner Report.

Original Post: What is Descriptive Statistics and How Do You Choose the Right One for Enterprise Analysis?

]]>
https://www.elegantjbi.com/blog/what-is-descriptive-statistics-and-how-do-you-choose-the-right-one-for-enterprise-analysis.htm/feed/ 0
What is the Holt-Winters Forecasting Algorithm and How Can it be Used for Enterprise Analysis? https://www.elegantjbi.com/blog/what-is-the-holt-winters-forecasting-algorithm-and-how-can-it-be-used-for-enterprise-analysis.htm https://www.elegantjbi.com/blog/what-is-the-holt-winters-forecasting-algorithm-and-how-can-it-be-used-for-enterprise-analysis.htm#comments Fri, 10 Aug 2018 07:06:11 +0000 https://www.elegantjbi.com/blog/?p=5503 Continued]]>

This article provides a brief explanation of the Holt-Winters Forecasting model and its application in the business environment.

What is the Holt-Winters Forecasting Algorithm?

The Holt-Winters algorithm is used for forecasting and It is a time-series forecasting method. Time series forecasting methods are used to extract and analyze data and statistics and characterize results to more accurately predict the future based on historical data.

For more information about data trend and pattern analysis techniques, read our article entitled, ‘ What Are Data Trends and Patterns, and How Do They Impact Business Decisions?’

The Holt-Winters forecasting algorithm allows users to smooth a time series and use that data to forecast areas of interest. Exponential smoothing assigns exponentially decreasing weights and values against historical data to decrease the value of the weight for the older data. In other words, more recent historical data is assigned more weight in forecasting than the older results.

There are three types of exponential smoothing methods used in Holt-Winters:

  • Single Exponential Smoothing – suitable for forecasting data with no trend or seasonal pattern, where the level of the data may change over time.
  • Double Exponential Smoothing – for forecasting data where trends exist.
  • Triple Exponential Smoothing – used for forecasting data with trend and/or seasonality.

When to Use Holt-Winters Single, Double and Triple Smoothing Models

How Can Holt-Winters Forecasting Be Used for Enterprise Analysis?

Time-Series forecasting methods and, in particular, the Holt-Winters forecasting algorithm can be helpful in providing forecasts for planning purposes by using historical data in a meaningful way. Because the results are smoothed, and the user can select the best option for the TYPE of data to be analyzed, the enterprise can avoid assigning too much weight or importance to older data that may no longer be as valid because of changing buying behaviors, market competition or other factors.

Let’s look at a few use cases that represent ideal examples of the various Holt-Winters exponential smoothing methods:

1) Single Exponential Smoothing Use Case

  • Business Problem: Forecasting number of viewers by day for a particular game show for next two months.
  • Input Data: Last six months daily viewer count data.
  • Data Pattern: Data taken as an input exhibit no trend /seasonality.
  • Business Benefit: Helps in planning for repeat telecast and for more advertisement (fund raising) if the projected count of viewers is high. Improvement planning can be done for the game show to increase/maintain the level of popularity.

2) Double Exponential Smoothing Use Case

  • Business Problem: Insurance claim manager wants to forecast policy sales for next month based on past 12 months data.
  • Data Pattern: Input data exhibits level and strong upward trend but no seasonality.
  • Business Benefit: If projected claims are lower than expected then proper marketing strategy can be devised to improve sales. Competition policy can be analyzed in terms of what all perks and benefits they provide to customers and existing policy can be modified to increase the market share.

3) Triple Exponential Smoothing Use Case

  • Business Problem: A power generator company wants to predict the electricity demand for next two months based on past 2 years’ daily power consumption data.
  • Data Pattern: Input data exhibits trend and seasonality.
  • Business Benefit: A power generator company can make use of these forecasts for the control and scheduling of power systems or power purchase agreements. It helps in balancing supply and demand.

When users select the appropriate forecasting algorithm for the data they wish to analyze, they can produce and share reports and data that will provide clear direction and decision support. In order to achieve the right results, it is imperative that a user select the right forecasting algorithm, based on the pattern and underlying data. Tools such as Smarten Plug n’ Play predictive analysis provide assisted predictive modeling capabilities. These augmented analytics tools use machine learning to auto-detect and recommend the best algorithm so users do not have to guess at the right selection. Smart Visualization ensures that data and its interpretation are clearly depicted in simple, natural language.

To provide flexible business intelligence and forecasting tools and ensure data democratization among business users, as well as accurate planning methods, an enterprise must select tools that are easy-to-use and easy to implement. The solution must include a full suite of advanced analytics tools to empower business users and create Citizen Data Scientists whose contribution to the organization will be a real asset and a true contributor to business results.

About Smarten

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. Smarten Augmented Analytics tools include assisted predictive modelingsmart data visualizationself-serve data preparation and clickless analytics with natural language processing (NLP) for search analytics. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

The Smarten approach to data discovery is powered by ElegantJ BI Business Intelligence Solutions, a representative vendor in multiple Gartner reports including the Gartner Research Market Guide to Self-Service Data Preparation, as a Niche BI and Analytics Vendor in the Gartner Report, Competitive Landscape in the BI Platforms and Analytics Software, Asia/Pacific, as a Representative Vendor in the Gartner Market Guide for Enterprise-Reporting-Based Platforms, and a Listed Vendor in the Other Vendors to Consider for Modern BI and Analytics, Gartner Report.

Original Post: What is the Holt-Winters Forecasting Algorithm and How Can it be Used for Enterprise Analysis?

]]>
https://www.elegantjbi.com/blog/what-is-the-holt-winters-forecasting-algorithm-and-how-can-it-be-used-for-enterprise-analysis.htm/feed/ 0
BI Tools for Small, Medium and Large Biz! https://www.elegantjbi.com/blog/business-intelligence-for-every-size-business-and-need.htm https://www.elegantjbi.com/blog/business-intelligence-for-every-size-business-and-need.htm#comments Wed, 08 Aug 2018 07:08:17 +0000 https://www.elegantjbi.com/blog/?p=5500 Continued]]> Business Intelligence for Every Size Business and Need!Small, Medium or Large, Business Intelligence is Critical to Your Business!

When a business is looking for a business intelligence solution, the management team may believe that they must choose a solution that is designed for a particular size business. In so doing, that business may restrict itself and its users and miss out on critical features and functionality – all in the name of what it believes to be a scale issue.

Whether you are looking for Business Intelligence for Small Business, BI for Medium Business, or BI for Enterprise Business, your management team, business users, IT staff and data analysts deserve the best, most flexible, scalable, mobile BI tools.

While the smallest enterprise may not have many employees, it does need the most accurate planning tools, for predictive analytics and forecasting and the best key performance indicator (KPI) tools to objectively measure and monitor. When considering BI for Large Business, there are concerns about integrating data from various data sources, and about the mobility and performance of the software when team members are working outside the office.

Whether you are looking at business intelligence for small business, BI for medium business or business intelligence for large business, you will always be concerned about security, data governance and appropriate access for each team member.

Size is definitely a consideration in terms of user volume and requirements but every organization, large or small, has unique needs and every business needs a rich analytical environment that will allow them to grow and address changing needs in the market, and with varied needs at a departmental, location or role-based level.

If you need a mobile, flexible Business Intelligence Solution that will meet your needs, Contact Us to find out how out-of-the-box functionality can get you started on the path to a solid business intelligence foundation.

]]>
https://www.elegantjbi.com/blog/business-intelligence-for-every-size-business-and-need.htm/feed/ 0
Augmented Analytics for Every Business and Industry! https://www.elegantjbi.com/blog/can-self-serve-data-prep-really-work-for-business-users.htm https://www.elegantjbi.com/blog/can-self-serve-data-prep-really-work-for-business-users.htm#comments Tue, 07 Aug 2018 14:30:01 +0000 https://www.elegantjbi.com/blog/?p=5497 Continued]]> Can Self-Serve Data Prep Really Work for Business Users?Is An Augmented Analytics Solution Right for My Organization?

Self-Serve Data Preparation is a critical component of augmented analytics. If these terms seem foreign to you, just know that they represent the future of business analysis. As organizations adopt self-serve business analysis, the business user with average technology skills must be able to leverage tools that are sophisticated, yet easy to use.

If you want your business users to adopt advanced data discovery tools, you must give them a solution that provides smart data discovery options with auto-suggestions and recommendations that make it easier for a user to find, select, analyze and display data in an appropriate, clear manner in order to support business decisions.

A solution with Augmented Data Preparation features allows business users with average skills to perform data preparation and test theories and hypotheses through prototyping, without the assistance of business analysts, data scientists or programmers. With easy-to-use tools for data extraction, transformation and loading your organization can provide ETL for business users and take the mystery out of data integration and analysis.

Give your users data in a way that is meaningful to them and their role and puts the power in their hands so they can test hypotheses, visualize data and create and share reports with other users. Let your users mash up, manage and monitor data, share data and customize alerts. Self-Serve Data Preparation provide smart suggestions and auto-suggested relationships, JOINS, hierarchies, type casts and other suggestions so users do not need to know or understand data science. Instead, they can use sophisticated tools and algorithms for clustering, binning and regression and pattern and trend definition to get the results they need, quickly and easily.

Contact Us to find out how Self Service Data Preparation Tools can transforms business users into Citizen Data Scientists.

]]>
https://www.elegantjbi.com/blog/can-self-serve-data-prep-really-work-for-business-users.htm/feed/ 0
Is Your Self Service BI Tool REALLY Self-Serve? https://www.elegantjbi.com/blog/dont-accept-anything-less-than-true-self-service-bi-tools.htm https://www.elegantjbi.com/blog/dont-accept-anything-less-than-true-self-service-bi-tools.htm#comments Mon, 06 Aug 2018 11:20:12 +0000 https://www.elegantjbi.com/blog/?p=5494 Continued]]> Don't Accept Anything Less Than True Self Service BI Tools!Sometimes Self Service BI Software Isn’t Really Self-Serve!

Today’s businesses and business users are more demanding than ever. No one has patience these days for tools, applications or products that offer no value or are frustrating or restrictive. So, when you hear the term ‘self-serve business intelligence’, you had better be sure you know whether the claim is valid before you choose a product.

To some, Self Service Business Intelligence may mean that you don’t need IT to gather and analyze data. But, look a little closer and you may find that IT and data scientists are the ones who design and dictate the dashboard so there really is no way a business user can create or format reports, share data with other users or view and drill through data that is integrated from disparate data sources. In short, there is no way the user can use the so-called self-service business intelligence tool in a way that is meaningful to them. Decisions about how to view, how to analyze and what reports are available are made by someone else without an understanding of the particular role a business user plays in the organization.

The assumption may be a business user is incapable of using complex tools. But, if the tools are really that complex, how can you call them self-service business intelligence tools? A real Self Service BI Tool should provide sophisticated algorithms and analytical techniques on the back-end and an easy-to-use interface and navigation on the front end so users will WANT to adopt the tool and the organization will benefit from data sharing and informed decision-making.

If your business is struggling to analyze data and provide users with the tools they need to make clear, dependable decisions and accurately measure and monitor results, Contact Us to explore the benefits of true Self Service BI Software.

]]>
https://www.elegantjbi.com/blog/dont-accept-anything-less-than-true-self-service-bi-tools.htm/feed/ 0
Advanced Analytics Software for Every Team Member! https://www.elegantjbi.com/blog/are-augmented-analytics-tools-too-difficult-for-my-business-users.htm https://www.elegantjbi.com/blog/are-augmented-analytics-tools-too-difficult-for-my-business-users.htm#comments Fri, 03 Aug 2018 14:49:39 +0000 https://www.elegantjbi.com/blog/?p=5491 Continued]]> Are Augmented Analytics Tools Too Difficult for My Business Users?Can Advanced Data Discovery Help Your Business Achieve Data Democratization?

Terms like Advanced Data Discovery and Augmented Analytics can seem mysterious and daunting for the average organization. Managers, executives and IT staff may believe that business users cannot and will not adopt advanced analytics tools because these tools can only be used by data scientists, programmers or business analysts.

Nothing can be further from the truth! Today’s Advanced Analytics Software options are numerous and flexible. The right smart data discovery solution can encourage data democratization, social BI and enthusiastic user adoption across the enterprise at every level of the organization.

The right Advanced Data Discovery allows business users to leverage sophisticated analytics in an intuitive, easy-to-use environment and transforms business users with average technology skills into Citizen Data Scientists. These data discovery tools provide clear, concise results and allow the enterprise to quickly and easily prepare and analyze data and visualize and explore that data, notate and highlight data and share data across the organization in every division and location.

Advanced data discovery is not out of reach for your team. The right Advanced Analytics Tool allows every user to perform analysis without specialized skills, knowledge of statistical analysis or support from IT or professional data scientists.

Contact Us to find out how easy Smart Data Discovery can be for your business users.

]]>
https://www.elegantjbi.com/blog/are-augmented-analytics-tools-too-difficult-for-my-business-users.htm/feed/ 0
Business Intelligence for Travel: Enable Success! https://www.elegantjbi.com/blog/business-intelligence-for-travel-should-offer-support-for-every-business-user.htm https://www.elegantjbi.com/blog/business-intelligence-for-travel-should-offer-support-for-every-business-user.htm#comments Thu, 02 Aug 2018 13:40:12 +0000 https://www.elegantjbi.com/blog/?p=5487 Continued]]> Business Intelligence for Travel Should Offer Support for Every Business UserAnalytics for Travel Businesses Can Provide a Competitive Advantage!

The travel industry is very competitive! As the market and customer needs change, every business competing in the travel industry faces price wars, competitive promotional campaigns, travel safety and security issues, round the clock service availability and other complicated factors that affect business success.

A travel-related business must have access to up-to-date analysis and information to monitor targets, manage performance, communicate with clients and forecast trends for new product and service offerings. The available data must include complete insight into supply chain information, inventory, product and service performance, competitor pricing and positioning, package tracking, flight and travel activities, schedules, billing and passenger detail.

Business Intelligence for Travel should include out-of-the-box functionality to get the organization started as quickly and effectively as possible. Dashboards for travel should include self-serve features that are suitable for business users at all levels of the organization.

With so many options and choices for vacation, travel, related and services, an enterprise must effectively manage its business and service value and offer new products and services, and innovation to keep pace with customer needs and market trends. Whether your business is an airline, travel agency, tour bus company, commercial cargo, rental car agency or other related business, you have the same need for data. Analysis of current customer feedback and needs and the forecasting of trends are just two of the factors that drive your business. If you are to achieve excellence in customer satisfaction and optimize resources, investments, and performance, you need a simple way to view and analyze data and make confident decisions.

Business users should have insight into facilities usage, supplies, schedules, maintenance, equipment, resource allocation, training, hiring, sales, marketing campaigns, revenue, billing, demographics and customer profiles, competition and other factors that impact success and, if properly managed, can offer a competitive advantage. KPI for Travel allows users to establish appropriate key performance indicators, and monitor and manage these metrics to enable objective measurements.

If your business is struggling to accurately plan for resources, competition, changes in customer behavior or other factors of business success, Contact Us to explore BI for Travel and Transportation.

]]>
https://www.elegantjbi.com/blog/business-intelligence-for-travel-should-offer-support-for-every-business-user.htm/feed/ 0
Smart Data Visualisation to Simplify Analytics! https://www.elegantjbi.com/blog/your-team-members-can-easily-use-smart-data-visualization.htm https://www.elegantjbi.com/blog/your-team-members-can-easily-use-smart-data-visualization.htm#comments Wed, 01 Aug 2018 13:28:33 +0000 https://www.elegantjbi.com/blog/?p=5484 Continued]]> Your Team Members Can Easily Use Smart Data VisualizationIs Smart Data Visualization and Visual Analytics Right for My Business Users?

Smart Data Visualization is a crucial component of augmented data discovery. This critical feature enables sophisticated analysis with guided visualization tools that auto-recommend displays and data views based on data type, volume, dimensions, patterns and nature of data.

Software for Data Visualization allows business users to analyze, share and present information without the assistance of data scientists, business analysts or programmers. With smart data visualisation, business users can cut through mountains of data to identify and leverage critical business factors, results, issues and opportunities that will have the most impact on business results.

Smart Visualization supports data democratization and the empowerment of business users and allows team members at every level of the organization to interact easily with data discovery tools and analytics software. Users can present and share data that tells a story and provides clear, fact-based results for better decision-making.

Visual Analytics identify relationships, patterns, and trends in the market, in the industry and in customer buying behavior. Users can explore detailed data with easy-to-use drill down and drill through capabilities, and make sense of data from integrated data sources, using a guided approach that takes the guesswork out of analytics.

Contact Us to explore the benefits of Smart Data Visualization.

]]>
https://www.elegantjbi.com/blog/your-team-members-can-easily-use-smart-data-visualization.htm/feed/ 0
Analytics for Retail Can Help You Achieve Your Goals! https://www.elegantjbi.com/blog/is-self-serve-business-intelligence-right-for-retail.htm https://www.elegantjbi.com/blog/is-self-serve-business-intelligence-right-for-retail.htm#comments Tue, 31 Jul 2018 10:47:21 +0000 https://www.elegantjbi.com/blog/?p=5481 Continued]]> Is Self-Serve Business Intelligence Right for Retail?Why Does My Retail Business Need Self-Serve Business Intelligence?

Today’s retail market is more diverse and complex than ever before. Brick and mortar stores compete for revenue against global and online retailers. Perhaps the greatest challenge is to sustain profit margins in a market where profit margins are traditionally small and shrinking rapidly.

It is imperative that the retail business choose the right product, price point, suppliers and shipping options and that the business is able to manage customer expectations, anticipate and forecast stock and inventory needs and manage seasonal shifts in demand. In order to manage the shifting market and competition, every retailer must have the ability to analyze data, customers, trends and patterns, etc.

Business Intelligence for Retail is crucial to the success of your enterprise. An out-of-the-box solution that offers self-serve analytics for retail can help a retail business get up and running with sophisticated, easy-to-use dashboards for retail that can be used by business users with average technology skills. Without the assistance of a business analyst or a programmer, a suitable reporting tool for retail can provide insight into how actual results compare to plan numbers, revenue by store, location, region, product line and other factors.

The retail industry is awash in best of breed, enterprise and legacy systems to manage everything from point of sale (POS) to resource allocation, facilities management, shipping and inventory, equipment and assets, financial results, sales and marketing campaigns, pricing, coupons and discounting and more. If the retailer is to remain competitive, executives, managers and business users must have access to the most complete information with full insight into results and critical issues and the ability to quickly analyze, present and report these results to support decisions and adapt to the changing market.

No matter the industry, data democratization and the evolution of Self-Service Business Intelligence is here to stay. Businesses that do not have the ability to quickly and easily analyze data and make decisions will suffer delays and missteps in the market. Every team member can add value to their role and achieve objectives if the enterprise provides the right tools to help them identify issues and opportunities and determine the root cause of problems.

If your retail business can use a competitive edge in your market, Contact Us to explore BI for Retail

]]>
https://www.elegantjbi.com/blog/is-self-serve-business-intelligence-right-for-retail.htm/feed/ 0
Can Plug n’ Play Predictive Analytics Be Used in Hospitals? https://www.elegantjbi.com/blog/predictive-analytics-tools-can-help-hospitals-plan.htm https://www.elegantjbi.com/blog/predictive-analytics-tools-can-help-hospitals-plan.htm#comments Mon, 30 Jul 2018 14:16:10 +0000 https://www.elegantjbi.com/blog/?p=5478 Continued]]> Predictive Analytics Tools Can Help Hospitals PlanHow Can Predictive Analysis Tools Help My Hospital or Healthcare Organization?

Hospitals and healthcare systems are turning to predictive analytics tools to plan and forecast and understand what, when and how to support patients.

Some hospitals use predictive analysis software to gather data and analysis the incidence of readmissions for patients presenting with critical health issues. For example, if a patient comes to the emergency room after having suffered a heart attack, how likely is it that the patient will be re-admitted with related issues within a certain period of time? When looking at the associated care (medication, exercise, follow-up appointments, age, risk factors, etc), hospitals and doctors can gain insight into methods, techniques and treatment plans and which will result in the best outcome and reduce the number of people readmitted for this type of medical issue.

Hospitals can also use Predictive Analytics Software to plan for future expansion of services, resources, parking lots, facilities, and certain types of care. For example, if a hospital has experienced a large increase in emergency room visits over a period of time, it would be important to know if this surge has resulted from more traumatic injuries, fewer available services in surrounding areas, fewer supportive non-emergency healthcare facilities like clinics, etc. The types of services, seasonality, and other factors can then be accommodated with resources, scheduling, training, increased budget, or preventive service offerings.

Assisted Predictive Modeling can support business users, IT staff and other users by providing recommendations in gathering, formatting and presenting data to improve the effectiveness and clarity of resulting data and reporting.

Plug n’ Play Predictive Analysis can help medical professionals and hospitals to plan by considering historical data and forecasting everything from the volume of insurance claims to the number of cardiac patients, elective surgeries, budgetary requirements for supplies, and resource complements.

A healthcare facility can use a Predictive Analysis Tool to better control budget, schedules, growth, risk, patient outcomes and other factors that affect success and employee and patient satisfaction.

Contact Us to find out how these easy-to-use Predictive Analytics Tool can help you effectively manage your healthcare enterprise.

]]>
https://www.elegantjbi.com/blog/predictive-analytics-tools-can-help-hospitals-plan.htm/feed/ 0
BI Reporting Tool in Self-Serve Environment! https://www.elegantjbi.com/blog/business-intelligence-dashboard-software-for-your-business.htm https://www.elegantjbi.com/blog/business-intelligence-dashboard-software-for-your-business.htm#comments Fri, 27 Jul 2018 13:55:42 +0000 https://www.elegantjbi.com/blog/?p=5475 Continued]]> Business Intelligence Dashboard Software For Your BusinessModern BI Solutions and Advanced Data Discovery for the Organization!

Today’s modern BI solutions include Advanced Data Discovery tools in a self-serve environment that is easy enough for all business users. Every enterprise needs BI tools that can be used out-of-the-box. To meet the needs of the enterprise, your business users will need key performance indicator analytics (KPI software), and BI reporting software that is mobile and suitable for use on a desktop, laptop or smart phone.

These Advanced Data Discovery tools should enable business users to prototype and test hypotheses with self-serve data preparation, smart visualization and augmented analytics and support for ad-hoc queries to provide a clear view of corporate performance and the ability to slice and dice data, drill down, drill up and drill through to find the most relevant Information.

The ideal Business Intelligence Dashboard should include flexible options for Real Time Cube Management or Cached Cube Management and data access so users can access the method that is best for a particular use case scenario and connect to data sources (databases, OLAP cubes and spreadsheets) with a simple wizard-based interface.

The BI Reporting Tool should provide web-based BI reports to every user in your organization and enable users to point-and-click and drag-and-drop to create a report summarizing performance metrics, or operational data, without programming or database or SQL skills.

There are many more aspects of modern BI solutions and business user requirements. If you would like to explore the features, functionality and flexibility of an advanced data discovery tool that is suitable for every business user, start with better BI Tools and Solutions, and Contact Us.

]]>
https://www.elegantjbi.com/blog/business-intelligence-dashboard-software-for-your-business.htm/feed/ 0
What is Smart Data Visualization and Can it Make Business Users Smarter? https://www.elegantjbi.com/blog/what-is-smart-data-visualization-and-can-it-make-business-users-smarter.htm https://www.elegantjbi.com/blog/what-is-smart-data-visualization-and-can-it-make-business-users-smarter.htm#comments Thu, 26 Jul 2018 14:34:11 +0000 https://www.elegantjbi.com/blog/?p=5471 Continued]]> What is Smart Data Visualization and Can it Make Business Users Smarter?Smart Data Visualization can radically improve your business intelligence, data discovery and analytics. It can streamline the work process of business users, improve the accuracy of planning and forecasting and ensure better, more timely, more accurate business decisions.

What is Smart Data Visualization?

Smart Visualization tools allow users to gather various data components and tell a story. Revealing results in this manner makes it easier for business users and the organization to identify the cause of a problem, see trends and patterns and find those elusive nuggets of information that will provide a competitive edge. The story is in there somewhere and smart visualization allows users to find and highlight that story!

Users can build and illustrate a compelling ‘story’ using disparate data sources with interactive, visual exploration that provides automated recommendations, suggested visualizations types and other guides to help the user produce an outcome that is clear and will support decisions and problem resolution.

A great Smart Visualization tool allows business users to work in a self-serve environment to interact with their analytics software and build that story through guided visualization and recommended data presentation. These auto-recommendations guide the user to use formats and tools that will best illustrate the underlying data and issues. Business users can use the solution to quickly produce the best possible visualization of underlying data based on data type, volume, dimensions, patterns and nature of data.

The old data visualization techniques provided options for graphs and charts but were not truly interactive so it was harder for users to analyze and understand data and it was more difficult to find the right method to display and report data so that the user or team could find problems and solutions. Smart Visualization allows users to select and display data in a way that assures accurate without the need for technical skill or lengthy, expensive training.

Can Smart Data Visualization Make Business Users Smarter?

Your business users are already smart. They use their skill and knowledge to pursue activities and tasks and make decisions appropriate to their role. What they often lack is a complete picture. There is so much data in the average organization but it isn’t always accessible or clear so the team has to make decisions based on opinion, guesswork or ‘what we have always done’. Smart Visualization can make your business users smarter by giving them the right information at the right time in the right way.

Gartner published a reported, dated September 12, 2017 (ID G00331857), entitled ‘Technology Insight for Modern Analytics and Business Intelligence Platforms’, in which it predicts that, ‘By 2020, smart/augmented, nonrelational, search- and visual-based data discovery capabilities will converge into a single set of next-generation data discovery capabilities as components of modern BI and analytics platforms.’

As these tools evolve, there will be more opportunities for creative analysis, increased data popularity and an improved business user understanding of analytics and the use of varied techniques, thereby ensuring that every business user can optimize knowledge and perform as a critical asset to the organization.

Smart Data Visualization goes far beyond simple, traditional data displays to guide and suggest visualization options for certain data types based on the nature, dimensions and trends inherent in that data. Smart Data Visualization lets users analyze, share and present information without waiting for technical assistance. It allows users to cut through mountains of data and find the more subtle information and elusive opportunities that make a difference in business results. By providing sophisticated cutting-edge technology on the backend and an intuitive front end, users can manage the analytical and visualization process with guides to make suggestions and recommendations on how to view certain types of data and users can personalize data displays to create views that are meaningful to them.

Smart visualization provides more options for display, going beyond basic bar and pie charts and allowing users to drill down and drill through data to get to the heart of the matter. This guided approach allows for swift completion of analysis and reduces the time required for data discovery. Perhaps most importantly, these tools do all of this without IT or analyst help.

Smart Visualization uses proven analytical and visualization techniques to present the right data in the right way, so that every user can find what they need without guesswork. In so doing, it assures more accurate business decisions and more timely, appropriate strategic, operational and tactical execution.

Original Post: What is Smart Data Visualization and Can it Make Business Users Smarter?

]]>
https://www.elegantjbi.com/blog/what-is-smart-data-visualization-and-can-it-make-business-users-smarter.htm/feed/ 0
Data Governance and Self-Serve Data Discovery Tools! https://www.elegantjbi.com/blog/can-self-serve-advanced-analytics-support-data-governance.htm https://www.elegantjbi.com/blog/can-self-serve-advanced-analytics-support-data-governance.htm#comments Wed, 25 Jul 2018 13:52:28 +0000 https://www.elegantjbi.com/blog/?p=5468 Continued]]> Can Self-Serve Advanced Analytics Support Data Governance?Data Discovery Tools and Data Governance: A Dynamite Combination!

If your organization is planning to implement advanced analytics tools or to democratize the use of data discovery tools, your IT staff and senior management are probably concerned about losing control of data access and about data security. Data governance is a real concern and it should not be minimized but there is no reason to change course and decide against data democracy just to accommodate data governance.

The good news is that Advanced Analytics, and Augmented Analytics with guided recommendations and suggestions, can satisfy average user skills and be easily implemented across the organization – WITH appropriate data governance concerns addressed in the bargain.

With the right Augmented Data Discovery Tool, the organization can ensure business user adoption and provide each user with appropriate access to data in a uniform, intuitive environment. The enterprise can offer data-driven decision support, and allow the business to cascade objectives, share data across the enterprise and improve the value of every team member by giving them the right information at the right time.

It is true that your business must reckon with the reality of open access, multiple platforms, expanding user devices, integrated data repositories and data democratization and it is important to understand the self-serve concept, and the importance of data governance.

As Smart Data Discovery and business user empowerment and accountability grows in popularity, the wise enterprise will balance the need for data governance and data security with the organizational and business user need for solid, dependable information. The business that attempts to over-enforce data governance may end up creating a data dictatorship and thereby depriving business users to critical information needed to perform daily tasks and make appropriate decisions.

If you want to embrace Advanced Data Discovery for business users AND ensure appropriate data governance, Contact Us to find out how you can achieve both with one easy-to-use, sophisticated data discovery tool.

]]>
https://www.elegantjbi.com/blog/can-self-serve-advanced-analytics-support-data-governance.htm/feed/ 0
Analytics for Construction is a Key Component of Success! https://www.elegantjbi.com/blog/bi-for-construction-can-truly-improve-your-business-results.htm https://www.elegantjbi.com/blog/bi-for-construction-can-truly-improve-your-business-results.htm#comments Tue, 24 Jul 2018 12:50:28 +0000 https://www.elegantjbi.com/blog/?p=5464 Continued]]> BI for Construction Can Truly Improve Your Business ResultsDoes My Company Need Business Intelligence for Construction?

Why would construction company need business intelligence? A more appropriate question is: why not? Constructions companies use a variety of software tools, from project management to computer aided design (CAD) systems, and while some of the solutions they utilize can provide reporting, there is really no good way to get business intelligence.

Analytics for construction can bring together and integrate data from various systems to provide a reporting tool for construction managers and for team members and senior executives. But, the more critical aspect of BI for construction is the myriad of opportunities it provides the organization. Business intelligence for construction provides a clear picture of the market, competitors, customers, and trends and patterns so the enterprise can stay ahead of issues and challenges and capitalize on opportunities.

Business users, construction managers, project managers and other team members can use Dashboards for Construction to identify pricing and product and service opportunities, anticipate resource needs, drill down into budgets and schedules and other details to get to the root cause of a problem or understand what is driving business success or failure.

These out-of-the-box BI tools can be implemented quickly and require minimal training, so users will adopt the solution more rapidly and return on investment (ROI) will be prompt. Key performance Indicators (KPIs) allow the enterprise to establish, monitor and manager metrics for a clear view of business results and success. KPI for Construction is crucial to objective management of businesses in the construction industry.

If your business is struggling with competitor, market or business intelligence and wishes to improve results and planning accuracy, Contact us to explore Business Intelligence for Construction.

]]>
https://www.elegantjbi.com/blog/bi-for-construction-can-truly-improve-your-business-results.htm/feed/ 0
Advanced Analytics Software for All Users! https://www.elegantjbi.com/blog/augmented-analytics-that-will-ensure-business-user-adoption.htm https://www.elegantjbi.com/blog/augmented-analytics-that-will-ensure-business-user-adoption.htm#comments Mon, 23 Jul 2018 12:48:56 +0000 https://www.elegantjbi.com/blog/?p=5461 Continued]]> Augmented Analytics That Will Ensure Business User AdoptionSelf-Serve Data Discovery Tools Must be Sophisticated Yet Easy to Use!

Self-Serve advanced analytics and data discovery software is an important competitive tool in today’s rapidly changing environment. Data resides in a lot of places within the organization and access to that data in an intuitive, integrated environment is important.

Equally important is the democratization of that data so that business users can easily access the Advanced Analytics Software and use augmented data discovery to gather data, and analyze that data in an environment where they are offered auto-suggestions and recommendations for data presentation and guides that point out relationships.

If you want your data discovery tool to succeed within your business user ranks, you must provide a solution that goes beyond data monitoring and presentation to reveal crucial insights on the ‘whys’ and ”hows’ of issues, challenges and opportunities. Users need a sophisticated Smart Data Discovery Tool that can handle the most complex queries and provide all the support a business user will need, thereby making them self-sufficient. This augmented analytics tool is the key to providing effective data discovery, producing clear, reliable results and ensuring low total cost of ownership (TCO) and rapid return on investment (ROI).

Your users will gain valuable insight and find crucial ‘nuggets’ of information that will allow you to quickly resolve issues and capitalize on market and customer opportunities.

If you want to explore the opportunities of Advanced Analytics ToolsContact us.

]]>
https://www.elegantjbi.com/blog/augmented-analytics-that-will-ensure-business-user-adoption.htm/feed/ 0
What Can Multidimensional KPI Analytics Do For My Business? https://www.elegantjbi.com/blog/kpi-dashboards-for-business-users-and-business-success.htm https://www.elegantjbi.com/blog/kpi-dashboards-for-business-users-and-business-success.htm#comments Fri, 20 Jul 2018 12:34:28 +0000 https://www.elegantjbi.com/blog/?p=5458 Continued]]> KPI Dashboards for Business Users and Business SuccessHow Can Key Performance Indicator BI Tools Help My Organization?

KPI analytics is important for every organization, no matter how small or large, no matter what industry or business market. Key performance indicator analytics provides metrics and measures for the business so that the enterprise can define success in an objective manner.

But, if BI tools and solutions are to be helpful to the organization, these tools must be accessible to business users with KPI Dashboards that are easy to use and ensure appropriate security access, integrated data from disparate sources and a business intelligence reporting tool that provides clear, current data with real time cube management.

When Multidimensional KPI Analytics is available to all users with sophisticated features that bring the power of a data scientist skill to a business user, the organization can respond with more agility and make better decisions. If the BI reporting tool reveals that the threshold for success is not being met or that a particular location, team or project is falling short, the enterprise can act before the situation becomes dire.

When metrics change (market shifts, industry or customer changes, enterprise growth, added locations, changes in resources or products), the organization must be able to easily adjust the key performance indicators and pick up where they left off.

Every enterprise needs flexible, clear metrics and a KPI Tool that allows users to gather and obtain results that help to support their role and their goals within the organization. If you are ready to explore the opportunities provided by this kind of reporting and metrics environment, Contact us.

]]>
https://www.elegantjbi.com/blog/kpi-dashboards-for-business-users-and-business-success.htm/feed/ 0
What Are Data Trends and Patterns, and How Do They Impact Business Decisions? https://www.elegantjbi.com/blog/what-are-data-trends-and-patterns-and-how-do-they-impact-business-decisions.htm https://www.elegantjbi.com/blog/what-are-data-trends-and-patterns-and-how-do-they-impact-business-decisions.htm#comments Wed, 18 Jul 2018 10:16:51 +0000 https://www.elegantjbi.com/blog/?p=5444 Continued]]>

In this article, we will focus on the identification and exploration of data patterns and the trends that data reveals. The business can use this information for forecasting and planning, and to test theories and strategies. Let’s look at the various methods of trend and pattern analysis in more detail so we can better understand the various techniques.

Linear Trend

A linear pattern is a continuous decrease or increase in numbers over time. On a graph, this data appears as a straight line angled diagonally up or down (the angle may be steep or shallow). So the trend either can be upward or downward.

Linear Trend

Exponential Trend

This technique produces non linear curved lines where the data rises or falls, not at a steady rate, but at a higher rate. Instead of a straight line pointing diagonally up, the graph will show a curved line where the last point in later years is higher than the first year, if the trend is upward.

 

Exponential Trend

Damped Trend

In this analysis, the line is curved line to show data values rising or falling initially, and then showing a point where the trend (increase or decrease) stops rising or falling.

 

Damped Trend

Seasonality

One can identify a seasonality pattern when fluctuations repeat over fixed periods of time and are therefore predictable and where those patterns do not extend beyond a one year period. Seasonality may be caused by factors like weather, vacation, and holidays. It usually consists of periodic, repetitive, and generally regular and predictable patterns. Seasonality can repeat on a weekly, monthly or quarterly basis.

Seasonality

Irregular/Random Patterns

This type of analysis reveals fluctuations in a time series. These fluctuations are short in duration, erratic in nature and follow no regularity in the occurrence pattern. In prediction, the objective is to “model” all the components to some trend patterns to the point that the only component that remains unexplained is the random component.

 

Irregular/Random Patterns

Stationary/Stationarity

A stationary time series is one with statistical properties such as mean, where variances are all constant over time. A stationary series varies around a constant mean level, neither decreasing nor increasing systematically over time, with constant variance.

 

Stationary/Stationarity

Cyclical Patterns

Cyclical patterns occur when fluctuations do not repeat over fixed periods of time and are therefore unpredictable and extend beyond a year.

 

Cyclical Patterns

In this article, we have reviewed and explained the types of trend and pattern analysis. Every dataset is unique, and the identification of trends and patterns in the underlying the data is important. If a business wishes to produce clear, accurate results, it must choose the algorithm and technique that is the most appropriate for a particular type of data and analysis. For example, the decision to the ARIMA or Holt-Winter time series forecasting method for a particular dataset will depend on the trends and patterns within that dataset.

A basic understanding of the types and uses of trend and pattern analysis is crucial, if an enterprise wishes to take full advantage of these analytical techniques and produce reports and findings that will help the business to achieve its goals and to compete in its market of choice.

About Smarten

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. Smarten Augmented Analytics tools include assisted predictive modeling, smart data visualization, self-serve data preparation and clickless analytics with natural language processing (NLP) for search analytics. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

The Smarten approach to data discovery is powered by ElegantJ BI Business Intelligence Solutions, a representative vendor in multiple Gartner reports including the Gartner Research Market Guide to Self-Service Data Preparation, as a Niche BI and Analytics Vendor in the Gartner Report, Competitive Landscape in the BI Platforms and Analytics Software, Asia/Pacific, as a Representative Vendor in the Gartner Market Guide for Enterprise-Reporting-Based Platforms, and a Listed Vendor in the Other Vendors to Consider for Modern BI and Analytics, Gartner Report.

Original Post: What Are Data Trends and Patterns, and How Do They Impact Business Decisions?

]]>
https://www.elegantjbi.com/blog/what-are-data-trends-and-patterns-and-how-do-they-impact-business-decisions.htm/feed/ 0
KPIs are NOT Just for Monitoring https://www.elegantjbi.com/blog/2018/07/11/july-11-2018/kpi-analytics.htm https://www.elegantjbi.com/blog/2018/07/11/july-11-2018/kpi-analytics.htm#comments Wed, 11 Jul 2018 12:06:50 +0000 https://www.elegantjbi.com/blog/?p=5439 Continued]]> Dynamic KPI Analytics for All Business UsersKPIs That Go Beyond Static Monitoring To Get To The Heart of the Matter!

Everything today is about metrics and measurements. Your boss, my boss, every executive wants to see numbers, statistics, graphs and charts that show progress or analyze problems. Modern business intelligence includes tools to establish key performance indicators (KPIs) but, when you are looking at a solution, you need to consider whether the KPI analytics solution allows you to really analyze the issues, problems, opportunities and root causes, or if it simply provides a tool for static monitoring and some pretty graphs, gauges and charts.

A good KPI Tool should be off the shelf, and ready to use with dynamic breakdowns, trends and performance indicators, and everything you need to write a KPI expression and define its polarity and frequency without the assistance of a data scientist or IT professional. It’s all about self-serve BI software tools and a KPI software that is easy enough for every business users to adopt and use for decision-making, presentation, managing and monitoring and, most importantly, getting to the heart of the matter.

Metrics are great, but if you are going to make decisions based on results, you have to get to the root of an issue, and truly understand what is causing the problem, and what is engendering success so that you can change or enhance processes to improve results.

Wouldn’t it be nice to let your users define KPI with an easy to use, powerful expression engine and set polarity, frequency, and threshold levels using a browser based interface? Wouldn’t it be great to let business users establish and monitor KPIs at the individual, team, department, division and company level, so they could share information and everyone can be on the same page? Dynamic KPI analytics is not limited to static monitoring but rather provides interactive options to change frequencies, dimension break downs and drill down to further analyze trends, and identify the reasons for performance and poor results.

This kind of KPI Analytics can adapt and change to the needs of the user, the market and new management initiatives, corporate goals and other business changes.

It really isn’t that hard to find a tool that is this flexible and can be used by business users without the skill or knowledge of an IT professional or a data scientist. If you want to create this kind of an environment and enable real metrics and measurements within your organization, here’s where you can start. Key Performance Indicator Analytics

]]>
https://www.elegantjbi.com/blog/2018/07/11/july-11-2018/kpi-analytics.htm/feed/ 0
Augmented Analytics Algorithms and Techniques: Learning for Citizen Data Scientists https://www.elegantjbi.com/blog/augmented-analytics-algorithms-and-techniques-learning-for-citizen-data-scientists.htm https://www.elegantjbi.com/blog/augmented-analytics-algorithms-and-techniques-learning-for-citizen-data-scientists.htm#comments Tue, 10 Jul 2018 12:14:42 +0000 https://www.elegantjbi.com/blog/?p=5436 Continued]]> Augmented Analytics Algorithms and Techniques: Learning for Citizen Data ScientistsThis article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools.

The article series is designed to help business users better understand the analytical techniques so that the average user can feel more confident in adopting, embracing and sharing these tools.

This twenty-four (24) article series includes:

Naïve Bayes Classification: What is Naïve Bayes Classification and How is it Used for Enterprise Analysis?

Use Case(s): Weather Forecasting, Fraud Analysis and more.

Frequent Pattern Mining (Association): What is Frequent Pattern Mining (Association) and How Does it Support Business Analysis?

Use Case(s): Market Basket Analysis, Frequently Bundled Products and more.

KNN Classification: What is KNN Classification and How Can This Analysis Help an Enterprise?

Use Case(s): Predicting Loan Default, Predicting Success of Medical Treatment and more.

Multiple Linear Regression: What is Multiple Linear Regression and How Can it be Helpful for Business Analysis?

Use Case(s): Impact of Product Pricing, Promotion on Sales, Impact of rainfall, humidity on crop yield an more.

Independent Samples T Test: What is the Independent Samples T Test Method of Analysis and How Can it Benefit an Organization?

Use Case(s): Are men more satisfied with their jobs than women? Does customer group A spend more on products than customer group B, and more.

Simple Random Sampling and Stratified Random Sampling: What Are Simple Random Sampling and Stratified Random Sampling Analytical Techniques?

Use Case(s): Average value of all cars in U.S. based on sample, sampling by age, gender, religion, race, educational attainment, socioeconomic status, and nationality and more.

Spearman’s Rank Correlation: What is Spearman’s Rank Correlation and How is it Useful for Business Analysis?

Use Case(s): Cluster various survey responders into groups, based on rank correlation, assess student rating by department chairs and by the faculty members and more.

Binary Logistic Regression Classification: What is Binary Logistic Regression Classification and How is it Used in Analysis?

Use Case(s): Predict if loan default based on attributes of applicant; predict likelihood of successful treatment of new patient based on patient attributes and more.

Paired Sample T Test: What is the Paired Sample T Test and How is it Beneficial to Business Analysis?

Use Case(s): Manufacturing unit manager analyzes statistical significance of cycle time difference, pre and post process change, determine whether sales increased following a particular campaign and more.

Simple Linear Regression: What is Simple Linear Regression and How Can an Enterprise Use this Technique to Analyze Data?

Use Case(s): Measure the impact of product price on product sales, measure the impact of temperature on crop yield an more.

ARIMAX Forecasting: What is ARIMAX Forecasting and How is it Used for Enterprise Analysis?

Use Case(s): Forecast product line growth based on data from the past 30 years based on yearly consumer inflation rate, yearly GDP data, target variables for user-specified time periods to clearly illustrate results for planning, production, sales and other factors and more.

Karl Pearson Correlation Analysis: What is Karl Pearson Correlation Analysis and How Can it be Used for Enterprise Analysis Needs?

Use Case(s): Correlation between income and credit card delinquency rate, identify negative, positive and neutral correlations between the age of a consumer and the color of shirt they might purchase and more.

Hierarchical Clustering: What is Hierarchical Clustering and How Can an Organization Use it to Analyze Data?

Use Case(s): Group loan applicants into high/medium/low risk based on attributes such as loan amount, installments, or employment tenure, organize customers into groups/segments based on similar traits, product preferences and expectations and more.

SVM Classification Analysis: What is SVM Classification Analysis and How Can It Benefit Business Analytics?

Use Case(s): Predict success of treatment success based on attributes of a patient, improve weather forecasting results and more.

Outlier Analysis: What is Outlier Analysis and How Can It Improve Analysis?

Use Case(s): Outliers are sometimes discounted, or in other cases, they will indicate that the organization should focus solely on those outliers; identify when a person recovered from a particular disease in spite of the fact that most other patients did not survive, and more.

Decision Tree Analysis: What is the Decision Tree Analysis and How Does it Help a Business to Analyze Data?

Use Case(s): Classify customers into those that will default and those that will not default. And assess the characteristics of customers that are likely to default, based on customer attributes and past online shopping behavioral data, one can predict the future purchases of customers and more.

Chi Square Test of Association: What is the Chi Square Test of Association and How Can it be Used for Analysis?

Use Case(s): Determine if a product sells better in certain locations, verify if gender has an influence on purchasing decisions, Identify if demographic factors influence banking channel/product/service preference or selection of a type of term insurance plan and more.

FP Growth Analysis: What is FP Growth Analysis and How Can a Business Use Frequent Pattern Mining to Analyze Data?

Use Case(s): Select items in a business catalog to complement each other so that buying one item will lead to buying another, analyze the association of purchased items in a single basket or single purchase and more.

ARIMA Forecasting: What is ARIMA Forecasting and How Can it Be Used for Enterprise Analysis?

Use Case(s): Predict sales of a drug for the next 2 months, based on drug sales from the past 12 months, suitable for forecasting when data is stationary or non-stationary, will produce accurate, dependable forecasts, when planning for short-term business results and more.

Multinomial-Logistic Regression Classification: What is the Multinomial-Logistic Regression Classification Algorithm and How Does One Use it for Analysis?

Use Case(s): Based on the attributes of a respondent e.g., demographics, marital status, gender, income, age, qualification etc., analysis can check the level of likely satisfaction with life/job/product/services, given a list of symptoms, one can predict if a patient is likely to be diagnosed with initial/intermediate/serious stages of a particular disease and more.

KMeans Clustering Algorithm: What is the KMeans Clustering Algorithm and How Does an Enterprise Use it to Analyze Data?

Use Case(s): Loan applicants grouped as low, medium, and high risk based on applicant age, annual income, employment tenure, a movie ticket booking website can group users into frequent ticket buyers, moderate ticket buyers and occasional ticket buyers, based on past movie ticket purchases, and more.

Descriptive Statistics: What is Descriptive Statistics and How Do You Choose the Right One for Enterprise Analysis?

Use Case(s): Average age and income for a particular type of product category purchased, Identify the most popular dish served in the restaurant or find out the most frequent rating given by customers for a given movie/restaurant or most frequent size or category of a sold product and more.

Holt-Winters Forecasting: What is the Holt-Winters Forecasting Algorithm and How Can it be Used for Enterprise Analysis?

Use Case(s): Forecasting number of viewers by day for a particular game show for next two months.

Input data: Last six months daily viewer count data, insurance claim manager can forecast policy sales for next month based on past 12 months data and more.

Trends and Patterns: What Are Data Trends and Patterns, and How Do They Impact Business Decisions?

Use Case(s): identify seasonality pattern when fluctuations repeat over fixed periods of time and where patterns do not extend beyond 1 year, analyze a stationary time series with statistical properties, where variances are all constant over time, or cyclical when fluctuations do not repeat over fixed periods of time, are unpredictable and extend beyond a year, and more.

Each of these techniques, methods and algorithms has a unique value in advanced analytics. Augmented Data Discovery tools allow business users to gather and analyze data using these techniques within a sophisticated, intuitive navigation that is designed to guide users through the processing of selecting the appropriate algorithm or analytical technique based on the type of data selected.

This article series will help business users understand the concepts and the benefits of each technique, as well as the logic behind the application of these techniques, and the value-added auto-recommendations and suggestions provided by comprehensive augmented analytics tools.

You can find more educational resources by browsing our Augmented Analytics Learning and Augmented Analytics Videos pages.

About Smarten

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. Smarten Augmented Analytics tools include plug n’ play predictive analyticsassisted predictive modelingsmart data visualizationself-serve data preparation and clickless analytics for search analytics with natural language processing (NLP). All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

The Smarten approach to data discovery is powered by ElegantJ BI Business Intelligence Solutions, a representative vendor in multiple Gartner reports including the Gartner Modern BI and Analytics Platform report and the Gartner Magic Quadrant for Business Intelligence and Analytics Platforms Report.

Original Post: Augmented Analytics Algorithms and Techniques: Learning for Citizen Data Scientists

]]>
https://www.elegantjbi.com/blog/augmented-analytics-algorithms-and-techniques-learning-for-citizen-data-scientists.htm/feed/ 0
Assisted Predictive Modeling https://www.elegantjbi.com/blog/2018/07/09/july-09-2018/assisted-predictive-modeling-r-integration.htm https://www.elegantjbi.com/blog/2018/07/09/july-09-2018/assisted-predictive-modeling-r-integration.htm#comments Mon, 09 Jul 2018 10:18:53 +0000 https://www.elegantjbi.com/blog/?p=5430 Continued]]> Business Users Need Assisted Predictive ModelingCreate Citizen Data Scientists with Assisted Predictive Modeling!

If your business is looking for a comprehensive augmented advanced analytics solution, what are some of the critical factors to consider? OK, here goes!

You need Assisted Predictive Modeling (Plug n’ Play Predictive Analysis with auto-suggestions and recommendations)

You need to encourage business user transformation to create Citizen Data Scientists by implementing a self-serve data democratization environment that allows users to become a greater asset to the organization and to make more confident decisions that will produce more dependable results.

You need a solution that can accommodate R integration so data scientists can utilize R Script to capitalize on their expertise and leverage enterprise investments in R open source platform. This type of integration allows data scientists to perform statistical and predictive algorithms, and complex analysis to provide the depth of detail and advanced analytics and reporting the organization needs for strategic decision-making.

Assisted Predictive Modeling sounds complicated but it is designed to help business users gain insight into data without the skills of a data scientist. It offers auto-recommendations and auto-suggestions to simplify use and allow business users to leverage predictive algorithms without the expertise and skill of a data scientist. The Plug and Play Predictive Analytics and predictive modeling platform is suitable for business users. These tools allow the organization to apply predictive analytics to any use case using forecasting, regression, clustering and other methods to analyze an infinite number of use cases including customer churn, and planning for and target customers for acquisition, identify cross-sales opportunities, optimize pricing and promotional targets and analyze and predict customer preferences and buying behaviors.

If your organization also employs data scientists, you will want to accommodate their needs and allow for more advanced analysis and critical, strategic analytical initiatives by integrating advanced analytics with R scripting to provide a more comprehensive set of tools.

When an organization works to create an environment that will encourage Citizen Data Scientists and optimize the time and resources of professional data scientists, it can improve results, increase ROI and lower TCO, all while establishing a more competitive position in the market and ensuring more confidence in decisions across the organization. If that all sounds like something you want, you can start here: Assisted Predictive Modeling with R Integration

]]>
https://www.elegantjbi.com/blog/2018/07/09/july-09-2018/assisted-predictive-modeling-r-integration.htm/feed/ 0
Easy to Implement, Easy to Access, Mobile BI https://www.elegantjbi.com/blog/2018/06/26/june-26-2018/mobile-bi.htm https://www.elegantjbi.com/blog/2018/06/26/june-26-2018/mobile-bi.htm#comments Tue, 26 Jun 2018 05:48:17 +0000 https://www.elegantjbi.com/blog/?p=5427 Continued]]> Mobile Business Intelligence Software for All DevicesWant Mobile BI That Works on Every Device? I’ve Got It!

Isn’t it annoying to be out on the road on a business trip or at home trying to get some work done and discover that the tools you use in the office do not translate well to the device you have on the road? It is beyond me how software vendors can expect users to accept poor performance, difficult navigation and inappropriate quick fixes or workarounds that are designed to ‘make it work’ and result in user frustration, lost productivity and business delays.

When it comes to business intelligence software, I need a modern BI solution that provides Mobile BI Tools, with seamless performance, scalability and display on any device, and any size screen. Our business looked at a lot of solutions and we chose a solution that took a design once, use anywhere approach. There was no need to customize the solution to it our needs.

This Mobile BI Software allowed us to roll out a large number of users and locations with minimal effort and investment. Our ROI was rapid and our TCO is low which pleased our management team. That’s all great, but the best part of this is that our business users have an easy-to-use, sophisticated business intelligence dashboard that makes it easy to share reports and data and to make confident decisions and they can do it all on any device from anywhere the job may take them.

If you want to gain the same advantage and user-friendly, accessible, mobile business intelligence software, you can get it here: Mobile BI

]]>
https://www.elegantjbi.com/blog/2018/06/26/june-26-2018/mobile-bi.htm/feed/ 0
Self-Serve Data Preparation for YOUR Users https://www.elegantjbi.com/blog/2018/06/19/june-19-2018/augmented-data-preparation.htm https://www.elegantjbi.com/blog/2018/06/19/june-19-2018/augmented-data-preparation.htm#comments Tue, 19 Jun 2018 13:42:48 +0000 https://www.elegantjbi.com/blog/?p=5414 Continued]]> Augmented Data Prep is Suitable for Every Business UserSelf-Serve Data Prep Should be Just That – Self-Serve!

Self-serve has many meanings. You can pump your own gas, you can serve yourself at a buffet, and sometimes you can even do your own data preparation. You will notice that I said ‘sometimes’. That is because you have to choose the right tool if you want to really participate in self-serve data preparation.

With the right augmented analytics solution, advanced data discovery is accessible to team members and business users no matter their skills or technical knowledge with guides and recommendations to allow for easy integration and preparation of data.

Augmented Data Preparation allows business users to access, extract and prepare date on their own with clear insight into the sources and methods so that the outcome meets requirements. In the past, data preparation was a complex process of Data Extraction, Transformation and Loading (ETL), with restricted access to data warehouses and data marts, so if a business user needed data, they had to put in a request to the IT staff and would nearly always experience a delay in data delivery.

Today’s businesses don’t have the time or budget to provide unlimited IT resources and the fast pace of business and market changes has made it difficult to satisfy the day-to-day data requirements of business users.

ETL for business users and Self-Serve Augmented Data Preparation provides a set of sophisticated tools that is specifically designed for business users with ease-of-use and intuitive tools that allow access by business users to explore, manipulate and merge data sources, without advanced skills or training.

THAT is what I mean by Self-Serve Data Preparation. So, step right up to the buffet of data in your organization and get what you need, when you need it, with easy to use, sophisticated tools that will walk you through the entire experience. You’ll love it!

Here is how to get started: Self-Serve Data Prep

]]>
https://www.elegantjbi.com/blog/2018/06/19/june-19-2018/augmented-data-preparation.htm/feed/ 0
Advanced Analytics Tools for Business Users! https://www.elegantjbi.com/blog/is-an-augmented-analytics-tool-right-for-my-business-users.htm https://www.elegantjbi.com/blog/is-an-augmented-analytics-tool-right-for-my-business-users.htm#comments Fri, 08 Jun 2018 12:57:33 +0000 https://www.elegantjbi.com/blog/?p=5410 Continued]]> Is an Augmented Analytics Tool Right for my Business Users?Are Smart Data Discovery Tools Smart Enough to Help Business Users?

Augmented analytics, augmented data discovery, advanced data discovery…all of these terms can seem intimidating but they don’t have to be. In fact, it might be less intimidating to think of advanced analytics software as Smart Data Discovery. When you use that term, you acknowledge the most important factor in this process, namely that the software itself is ‘smart’ and that using advanced analytics tools is not a process that is limited to data analysts or data scientists.

That is an important distinction! Because, the right Data Discovery Tool provides the most sophisticated, cutting edge features within a simple, easy-to-use interface that leads the business user through the process of data discovery. These advanced data discovery tools can significantly improve user adoption and make it easier for business users to share data and make clear decisions by understanding patterns, trends and the root cause of issues.

The tools can help users to identify opportunities and see interdependencies. In short, the right Data Discovery Software can lower the total cost of ownership (TCO) for an analytical tool and improve the return on investment (ROI). It can help the organization to sustain a competitive advantage and democratize analytics.

Contact Us to find out how these easy-to-use Smart Data Discovery Tools can help business users to be more effective.

]]>
https://www.elegantjbi.com/blog/is-an-augmented-analytics-tool-right-for-my-business-users.htm/feed/ 0
Silver Sponsor ElegantJ BI Demonstrates Smarten Analytic at Gartner Data & Analytics Summit, June 5-6, Mumbai, India https://www.elegantjbi.com/blog/silver-sponsor-elegantjbi-demonstrates-smarten-analytic-at-gartner-data-analytics-summit-june-5-6-mumbai-india.htm https://www.elegantjbi.com/blog/silver-sponsor-elegantjbi-demonstrates-smarten-analytic-at-gartner-data-analytics-summit-june-5-6-mumbai-india.htm#comments Fri, 25 May 2018 14:07:14 +0000 https://www.elegantjbi.com/blog/?p=5406 Continued]]> Silver Sponsor ElegantJ BI Demonstrates Smarten Analytic at Gartner Data & Analytics Summit, June 5-6, Mumbai, IndiaElegantJ BI, an innovative vendor in Business Intelligence, Augmented Analytics and Augmented Data Preparation, is pleased to announce its participation in the Gartner 2018 INDIA Data & Analytics Summit from 5 – 6th June 2018 in Mumbai, India. ElegantJ BI is proud to be a Silver Sponsor at this important event.

ElegantJ BI CEO, Kartik Patel says, “We look forward to demonstrating our Smarten analytics software solution, and to seeing new and familiar faces, as we welcome analytics experts and customers to this exciting event.”

Smarten Augmented Analytics represents the evolution of the ElegantJ BI approach to business intelligence, and the significance of self-serve data preparation, smart visualization, and assisted predictive modeling. The Smarten product roadmap lays the groundwork for Clickless Analytics powered by Natural Language Processing, and the ElegantJ BI team looks forward to introducing these and other features in the near future.

“As self-serve business analytics drives the industry, so too does the Smarten product embrace the concept of data democratization,” says Patel. “The Smarten roadmap is designed to address the need for more sophisticated analytics, in an easy-to-use environment, with tools that allow business users to perform complex analysis and achieve concise, personalized results quickly, with improved insight and clarity.”

The Smarten team will be on hand at the Gartner Data & Analytics Summit on June 5 and June 6 to demonstrate current product functionality including Smart Visualization, Plug n’ Play Predictive Analytics and Self-Serve Data Preparation. These Advanced Data Discovery tools enable business users to quickly and easily prepare and analyze data, to visualize and explore data, notate, highlight and share data with others. These tools allow for access to crucial data and enable users to mash up and integrate data, clarify analysis and use sophisticated algorithms in an intuitive environment to balance agility with data governance.

CEO, Kartik Patel says, “The Gartner Data & Analytics Summit also provides the opportunity for us to introduce customers and industry professionals to the future of Clickless Analytics. We are excited to discuss the future of Natural Language Processing within the Smarten Advanced Data Discovery solution and the resulting leverage of computational linguistics, data mining, and analytical algorithms which will provide a self-serve, natural language approach to data analysis.”

More information on the Gartner Data & Analytics Summit is available here: Gartner 2018 INDIA Data & Analytics Summit from 5 – 6 June 2018 in Mumbai, India

Read More: Silver Sponsor ElegantJ BI Demonstrates Smarten Analytic at Gartner Data & Analytics Summit, June 5-6, Mumbai, India

]]>
https://www.elegantjbi.com/blog/silver-sponsor-elegantjbi-demonstrates-smarten-analytic-at-gartner-data-analytics-summit-june-5-6-mumbai-india.htm/feed/ 0
What is Social BI and How Can it Enable Business Success? https://www.elegantjbi.com/blog/what-is-social-bi-and-how-can-it-enable-business-success.htm https://www.elegantjbi.com/blog/what-is-social-bi-and-how-can-it-enable-business-success.htm#comments Tue, 22 May 2018 13:16:05 +0000 https://www.elegantjbi.com/blog/?p=5403 Continued]]> What is Social BI and How Can it Enable Business Success?As self-serve business intelligence and data analytics has evolved, the concept of Social BI and business intelligence collaboration has become more prominent. Today’s trends in social networking and collaboration drive Social BI within the organization and, as this concept becomes more mainstream, business users and organizations reap the benefits of these collaborative efforts and of shared data analytics and data popularity.

What is Social BI?

Social BI encompasses the gathering, analysis, publishing, and sharing of data, reports and information using interactive business intelligence and analytics dashboards and intuitive tools to improve data clarity, and user understanding and comfort with analytical tools. Social BI enables confident decisions and puts all users on the same page so that activities, tasks and goals are driven by a shared understanding and use of analytical tools and results. Perhaps the most crucial aspect of Social BI lies in the power of its self-serve, user-generated analysis and the application of business user knowledge and skill to generate and share reports and data without the assistance of data scientists or IT staff.

Social Business Intelligence encourages data sharing and analysis across teams, divisions and business units to increase and improve results in product development, projects, business processes, quality control, etc.

How Can Social BI Enable Business Success?

Imagine an environment where business users can access a Business Intelligence and analysis portal and see popular data to rate, share and comment. This type of sharing can optimize resources by allowing users to access reports, dashboards and data that might be just what they need to complete a task or analysis. When you implement social media and social networking within the Business Intelligence environment business users can share, rate, discuss and learn from others.

As Social BI cascades throughout the organization, the business can nurture power users who take a creative, insightful approach to data analysis. Just as social media users can ‘Like’ or ‘Share’ a provocative post from another user, a social business intelligence tool can support the same kind of collaboration, sharing and learning within your organization. As power users emerge and data sharing becomes more common, the average business user will develop a better understanding of analytics and become more comfortable with these techniques, and the organization will see improved user adoption of BI tools.

The Social BI trend also allows the organization to understand the types of data that users value, and how to provide, and present, data to improve data leverage, and increase confidence in decisions. Understanding the social aspect of data analysis, and data popularity allows the enterprise to make decisions about additional provisioning of data, reports and dashboards to business users.

Social Business Intelligence Tool creates ‘popular’ business users and content, encourages collaboration, and reveals what data and content is valued by users.

Popularity is not the measure of quality but rather a measure of business value, providing insight for IT and BI teams to standardize data and content and provide high quality, certified, curated data to users.

Business users can share, rate, discuss and learn from other users and, if they don’t have to reinvent a report, they can optimize their time.

Social Business Intelligence Software promotes collaborative decision-making among business users, drives BI tool user adoption, and allows the organization to share resources and knowledge.

Original Post: What is Social BI and How Can it Enable Business Success?

]]>
https://www.elegantjbi.com/blog/what-is-social-bi-and-how-can-it-enable-business-success.htm/feed/ 0
Integrate Business Intelligence and R Script! https://www.elegantjbi.com/blog/2018/05/21/may-21-2018/bi-tools-integrate-with-r-script.htm https://www.elegantjbi.com/blog/2018/05/21/may-21-2018/bi-tools-integrate-with-r-script.htm#comments Mon, 21 May 2018 13:40:28 +0000 https://www.elegantjbi.com/blog/?p=5400 Continued]]> Can I Integrate R Script with Business Intelligence?R Script and BI Tools Combine for Greater Power and Flexibility!

I am all for getting the most out of what I buy, so I like it when a service provider makes my life easier by making their products work with the products I already own, or uses clever methods to allow me to merge, integrate or pair products to get more value. One such example is my business intelligence solution. The BI tool I use integrates with R scripting so my team does not need programming support to achieve integration and everyone in our division can leverage the business intelligence tools and smart visualization features to analyze the R Script output. My team already knows the R Script tool, so this makes our life much easier!

This popular open source programming language and software environment is used for statistical computing, allowing users to integrate any R script with input and output configuration both to and from R script and my business intelligence suite. Users have access to a full suite of self-serve visualization and analytical tools to present and share results from R script in a report, on a dashboard, with interactive graphs, and in ad hoc reporting, cross-tab reports and key performance indicators (KPIs). My team doesn’t need extensive training so they can combine their use of R Script with Business Intelligence Features like predictive analytics, forecasting, classification, clustering and smart visualization to identify relationships, patterns and trends.

These tools are very important to our team. Smart Data Visualization tools enable my team members explore detailed data with simple drill down and drill through capabilities and to integrate and make sense of data from all sources, with a guided approach that allows for swift completion of analysis and reduces the time required for data discovery. Perhaps most importantly, these tools do all of this without the need for programmer. Sounds good, right? If you want to gain the same advantage and leverage your investment in R Script tools and training, you can start here: Integrate R Script and Business Intelligence

]]>
https://www.elegantjbi.com/blog/2018/05/21/may-21-2018/bi-tools-integrate-with-r-script.htm/feed/ 0
Smart Visualization Tools Make You Smarter https://www.elegantjbi.com/blog/2018/05/11/may-11-2018/smart-visualization.htm https://www.elegantjbi.com/blog/2018/05/11/may-11-2018/smart-visualization.htm#comments Fri, 11 May 2018 13:52:55 +0000 https://www.elegantjbi.com/blog/?p=5396 Continued]]> What is Smart Visualization and How Can It Help Me?Why Should I Care About Smart Visualization and Advanced Data Discovery?

Are you up on the latest analytics lingo or do you still think smart visualization is some kind of artificial eyeball? Well, before you embarrass yourself at the next business conference, let’s get the facts!

Data Visualization Tools are part of an Advanced Data Discovery approach that allow users to gather various data components and tell a story that will clarify a problem, identify an opportunity or help to make a decision. In order to build and tell that story, the business user must be able to interact with their analytics software and build the story through guided visualization and recommended data presentation to best illustrate the underlying data and issues. Business users can quickly, and efficiently produce best possible visualization of underlying data based on data type, volume, dimensions, patterns and nature of data.

Smart Data Visualization tools allow users with average skills to cut through a mountain of data and find the nuggets of information that will make a real difference in business results using cutting-edge technology on the backend, and an understanding of the user experience on the front end. With this kind of support and foundation, your users can get a helping hand with suggestions and recommendations on how to view certain types of data and can personalize data displays to create meaningful views and collaboration. Smart Visualization takes the handcuffs off users and eliminates the need for the enterprise to anticipate exactly what each user needs.

Auto-recommendations, auto-suggestions and other tools guide users by recommending displays, views, and plotting to explore best possible value from underlying data. Here’s the thing. Smart Data Visualisation goes beyond data display and data monitoring to suggest options for visualization and plotting for certain types of data, based on the nature, dimensions and trends inherent in the data, so users can leverage sophisticated tools in an easy-to-use, drag and drop interface, with no advanced skill requirement or technical knowledge.

You don’t need an artificial eyeball, but you DO need Advanced Data Discovery with Smart Visualization Tools, and so do your users! : The Smarten approach to data analytics will get you there.

]]>
https://www.elegantjbi.com/blog/2018/05/11/may-11-2018/smart-visualization.htm/feed/ 0
Data Analytics Tools Succeed When Biz Culture is Aligned https://www.elegantjbi.com/blog/data-analytics-success-demands-fact-based-culture.htm https://www.elegantjbi.com/blog/data-analytics-success-demands-fact-based-culture.htm#comments Fri, 04 May 2018 13:59:50 +0000 https://www.elegantjbi.com/blog/?p=5392 Continued]]> Data Analytics Success Demands a Fact-Based CultureDoes Your Business Culture Support Data Analytics and Data-Driven Action?

Data analytics is not just for day-to-day business intelligence. These days, pretty much every business has some form of data analytics software. If your organization has embraced data democratization, you are probably encouraging business users to use BI analytics and, hopefully, your senior executives, middle managers and data scientists are using these BI analytics tools for strategic initiatives, as well.

In order to align the tasks and activities of the organization to achieve goals and objectives, the enterprise must have an overarching vision of how best to cascade Business Intelligence Analytics Software and how to use and share the analysis to make the best decisions and to examine and understand what the data is telling the user.

Gartner research suggests, ‘To make this collaboration happen, business and IT must work together on vision, strategy, roles and metrics. Everyone is going to have to change, and everyone is going to have to learn.”

Deep Dive Analytics can and will provide crucial insight and information but the organization must take action on what it discovers, or all that insight is for naught. Let’s use an example. If a senior management team is considering buying another, smaller company, or expanding into a new market, or creating a new product to compete in a different market, the data analytics tool can offer great insight into the advisability of each of these actions. Furthermore, if the business is using visual analytics, KPIs and other tools, the integrated data from all systems within the enterprise can present a clear picture and recommendations for action.

BUT, the culture within the organization must support the use of the data and analysis provided by the BI Analytics Tool to make the RIGHT decision. At every level of the organization from individual users to team leaders, middle managers, IT staff and senior executives, the enterprise must be aligned and prepared to use the resulting business intelligence to support and make decisions.

If an enterprise decides to spend the time, money and effort to implement Data Analytics Tools, and to train users, it must commit to taking strategic, operational and tactical actions based on the analysis provided by these tools and to put aside the guesswork and opinion deeply rooted in the old corporate cultures.

If your organization is ready to create a data-driven, actionable business environment with valuable Data Analytics Software, Contact Us to find out how to transform your business.

]]>
https://www.elegantjbi.com/blog/data-analytics-success-demands-fact-based-culture.htm/feed/ 0
Is Plug & Play Predictive Analytics Good for Business Users? https://www.elegantjbi.com/blog/plug-n-play-predictive-analytics-helps-business-users.htm https://www.elegantjbi.com/blog/plug-n-play-predictive-analytics-helps-business-users.htm#comments Wed, 02 May 2018 12:30:38 +0000 https://www.elegantjbi.com/blog/?p=5388 Continued]]> Plug n' Play Predictive Analytics Helps Business UsersCan Plug & Play Predictive Analytics Help Business Users Function Effectively?

Plug & Play Predictive Analytics is not an exotic process that is limited to data scientists or IT staff. Plug & play predictive analysis is so named because it really is a plug and play process. This type of predictive analytics tool is designed to be accessible and usable by business users.

In today’s fast-paced, competitive business landscape, no enterprise can afford to wait for clear, concise information. No team member can be expected to achieve peak performance if they have to wait for business intelligence and clear analysis and information. Often, the process of submitting predictive analytics requests can be cumbersome and much is lost in the translation. Users wait for data, only to find that the data is incomplete or out-of-date or that they forgot certain parameters or critical factors and that they must start again.

A good Predictive Analytics Tool offers Assisted Predictive Modeling with guidelines and auto-recommendations to help the user develop an approach to forecasting and planning and obtain clear data that will answer questions and clarify direction. This type of predictive analytics for business users will ensure that the process is simple and clear so users can do a better job of predicting outcomes, revenue targets, planning for new locations, new products and other critical business initiatives.

Predictive Analysis Software with sophisticated, easy-to-use tools can significantly improve time-to-market, and ensure that forecasts and predictions are more accurate and that each business user is working with and sharing clear, actionable data.

Contact Us to find out how these Smarten tools can help your business.

]]>
https://www.elegantjbi.com/blog/plug-n-play-predictive-analytics-helps-business-users.htm/feed/ 0
BI for Telecom is the Answer to Critical Analytical Needs https://www.elegantjbi.com/blog/analytics-for-telecom-and-its-business-users.htm https://www.elegantjbi.com/blog/analytics-for-telecom-and-its-business-users.htm#comments Mon, 30 Apr 2018 08:36:35 +0000 https://www.elegantjbi.com/blog/?p=5385 Continued]]> Analytics for Telecom and its Business UsersCan Business Intelligence for Telecommunication Be Implemented Easily?

The telecommunications industry is complex and requires attention to numerous factors including security compliance, industry standards, customer satisfaction, market competition, technology evolution, staffing, and more. Business intelligence for telecom allows the organization and its business users to access data integrated from disparate sources and to use analytics for telecommunication to leverage out-of-the-box features including sophisticated, advanced data discovery tools that are easy enough for every business user to adopt and utilize.

KPI for Telecom provides the opportunity to establish and manage key performance indicators (KPIs) that ensure objective metrics and measurement of activities, tasks and factors that affect business success. A Reporting Tool for Telecommunication should be designed to support the industry, its business functions and needs.

To the extent that a business intelligence tool can anticipate and support the needs of your industry, your enterprise can more easily and quickly implement the solution and train users to ensure swift user adoption and rapid return on investment (ROI).

Business Intelligence for Telecommunication can help to streamline and improve your business. Contact Us now to find out how this solution can help your business.

]]>
https://www.elegantjbi.com/blog/analytics-for-telecom-and-its-business-users.htm/feed/ 0
Data Visualization Software for Business Users https://www.elegantjbi.com/blog/self-serve-data-visualization-guides-business-users-to-the-best-view.htm https://www.elegantjbi.com/blog/self-serve-data-visualization-guides-business-users-to-the-best-view.htm#comments Fri, 27 Apr 2018 13:10:19 +0000 https://www.elegantjbi.com/blog/?p=5381 Continued]]> Self-Serve Data Visualization Guides Business Users to the Best ViewSmart Data Visualization Takes the Guesswork Out of Analytics!

Smart data visualization tools should include augmented data discovery with features that guide and show business users how to get the most out of data and how to display that data in a way that will make decision-making and analysis as easy as drag and drop. Data visualization does not have to be complicated, nor does it require software or features that take months to learn and master.

Smart Data Visualization suggests the best options for visualizing and plotting for a particular set or type of data, based on the nature, dimensions and trend of data.

Smart Data Visualization Tools allow users to gather various data components and tell a story that will clarify a problem, identify an opportunity or help to make a decision. In order to build and tell that story, the business user must be able to interact with their analytics software and build the story through guided visualization and recommended data presentation to best illustrate the underlying data and issues. Business users can quickly and efficiently produce the best possible visualization of underlying data, based on data type, volume, dimensions, patterns and nature of data.

In the past, reporting and data visualization was a static process with graphs and charts and little if any options. These methods and tools certainly did not offer suggestions or recommendations on how best to view and analyze the data based on data types or other parameters.

If you want your business users to participate in data analysis and make the right decisions about their team, their division, their role and their responsibilities, you have to give them better tools to analyze and understand data and choose the right method to display and report data. Self-Serve Data Visualization Software incorporates cutting-edge technology on the backend, and an understanding of the user experience on the front end, so users get a helping hand with suggestions and recommendations on how to view certain types of data and can personalize data displays to create meaningful views and collaboration.

Smart Data Visualization can give your organization an advantage by identifying critical data points, patterns and trends that will allow you to strategize and operate in an optimal environment.

Contact Us to find out how these Smarten tools can help your business.

]]>
https://www.elegantjbi.com/blog/self-serve-data-visualization-guides-business-users-to-the-best-view.htm/feed/ 0
BI Tools for Hospitality and Entertainment https://www.elegantjbi.com/blog/analytics-for-hospitality-and-entertainment.htm https://www.elegantjbi.com/blog/analytics-for-hospitality-and-entertainment.htm#comments Wed, 25 Apr 2018 14:15:52 +0000 https://www.elegantjbi.com/blog/?p=5378 Continued]]> Analytics for Hospitality and EntertainmentWhat Can Analytics for Hospitality and Entertainment Do For Your Business?

Every industry today seems to have recognized the need for business intelligence and analytics. Analytics for hospitality and analytics for the entertainment industry are burgeoning areas of growth for business intelligence.

Business Intelligence of Hospitality allows for analysis and planning or occupancy, seasonality, product and amenity popularity and satellite services like shuttles into city areas, trainers in gyms, room service or restaurant partnerships, etc. Dashboards for Entertainment Industry can bring together data integrated from disparate sources into an easy-to-use interface and allow for drag and drop reporting, and in-depth analysis of ticket price points, gift card use, product packages, audience targeting and more.

KPI for Hospitality and KPI for Entertainment Industry allows the enterprise to establish, monitor and manage key performance indicators (KPIs) to provide objective metrics and enable management and team members to recognize challenges and opportunities. No organization or industry can ignore the importance of analytics and business intelligence and a self-serve BI tool with sophisticated, easy-to-use features can help the enterprise to democratize data and provide business users with the tools they need to share, compare and leverage data and make better business decisions.

If these tools are designed to support a particular industry or business function out-of-the-box, implementation and training is easy and fast.

Explore BI for Hospitality and Entertainment. Contact Us now to find out how to get started.

]]>
https://www.elegantjbi.com/blog/analytics-for-hospitality-and-entertainment.htm/feed/ 0
Advanced Analytics that is Easy Enough for All Business Users https://www.elegantjbi.com/blog/data-discovery-software-that-will-guide-users-at-every-step.htm https://www.elegantjbi.com/blog/data-discovery-software-that-will-guide-users-at-every-step.htm#comments Wed, 25 Apr 2018 12:44:51 +0000 https://www.elegantjbi.com/blog/?p=5375 Continued]]> Data Discovery Software that Will Guide Users at Every Step!Augmented Analytics and Advanced Data Discovery for Business Users!

Augmented analytics can help your business users to find and understand critical data and to do their jobs more effectively. Without the knowledge of a data scientist or an IT professional, business users can perform advanced analytics, using features that guide and make recommendations at every step so that data is prepared, viewed and analyzed in a way that ensures clarity and a comprehensive understanding of trends, patterns, and data sensitivity and success thresholds.

Advanced Data Discovery software must provide appropriate access and security, mobile scalability and performance and guides and auto-suggestions, that will allow Smart Data Discovery and allow users to find the right data and to leverage that data to anticipate problems and capitalize on opportunities without a misstep or delay.

No organization can afford to hire a large team of data professionals and business users should not be expected to employ complex tools that require that kind of sophisticated knowledge. That doesn’t mean that your business users do not deserve and need the same sophisticated analysis. They need to have and share data that will illustrate clear results in a format that leaves no doubt about the right decision.

Advanced Data Discovery can and should be accessible to everyone in your organization. That access will make your users and your business more successful and will eliminate frustration and needless delays. It will also ensure user adoption of Self Service Business Intelligence tools and swift implementation and training of these crucial tools to achieve low total cost of ownership (TCO) and rapid return on investment (ROI).

Discover the benefits of Augmented Data DiscoveryContact Us now to find out about Smarten BI and how these tools can help your organization and users achieve goals and function more effectively.

]]>
https://www.elegantjbi.com/blog/data-discovery-software-that-will-guide-users-at-every-step.htm/feed/ 0
Mobile Business Intelligence is Your Secret Weapon https://www.elegantjbi.com/blog/let-mobile-bi-tools-allow-business-users-to-soar.htm https://www.elegantjbi.com/blog/let-mobile-bi-tools-allow-business-users-to-soar.htm#comments Fri, 20 Apr 2018 13:31:41 +0000 https://www.elegantjbi.com/blog/?p=5372 Continued]]> Let Mobile BI Tools Allow Business Users to Soar!Why is Mobile Business Intelligence Important?

If it is to be useful in business, business intelligence must be accessible from within the walls of the business and outside the business. Tablets, smart phones and desktops are all tools that serve your business users every day. Because our society is mobile and because our users are also consumers and expect their business tools to be easy-to-use and intuitive just like the consumer applications they use every day. Mobile business intelligence is not just nice to have, it is crucial in today’s competitive business environment.

Mobile Business Intelligence provides tools that will help your business users to gather, compile, analyze and report on information and to use data anywhere at any time to make business decisions. In order to be functional and useful, the mobile BI dashboard must function seamlessly on every device business users own or use during the business day.

Why accept restrictive, cumbersome business intelligence solutions when your business users can enjoy the ease of a high-performance Mobile BI Tool that will work on any size or type of device. Empower your users with integrated Mobile BI Dashboards that provide access to data in an interactive, personalized view and enable data sharing, identification of trends and patterns and user empowerment and accountability.

In the past, BI tools were difficult to use and limited or restricted to access within the office or by certain individuals in the organization. In today’s fast-paced, demanding business environment, your business users need Mobile BI Software that is as effective on the road as it is in the office.

Explore the opportunities of Mobile BI.

Contact Us now to find out how this crucial tool can help your business.

]]>
https://www.elegantjbi.com/blog/let-mobile-bi-tools-allow-business-users-to-soar.htm/feed/ 0
Advanced Data Discovery for Every Skill and User https://www.elegantjbi.com/blog/augmented-data-discovery-helps-business-users-achieve-results.htm https://www.elegantjbi.com/blog/augmented-data-discovery-helps-business-users-achieve-results.htm#comments Fri, 20 Apr 2018 12:22:26 +0000 https://www.elegantjbi.com/blog/?p=5369 Continued]]> Augmented Data Discovery Helps Business Users Achieve ResultsAugmented Analytics is the Key to User-Friendly Business Intelligence!

Augmented Analytics and augmented data discovery is a form of advanced data discovery that automates data insight using machine learning and natural language generation. It automates data preparation and makes it easy for business users to enjoy data sharing.

Advanced Analytics uses sophisticated techniques and algorithms in an automated environment to simplify the analytical process for the average business user, so users are presented with clear results to use in making decisions and analyzing problems. The augmented analytics approach provides better clarity and insight than the more traditional forms of analysis.

The world of data analytics is no longer restricted to IT, data scientists and analysts. If your business is going to be productive and successful it must allow business users to access intuitive tools with sophisticated features, so that the entire team can work from the same data and share that data in reports and graphics that will help he organization achieve its goals.

Advanced Analytics Tools allow the average business user to analyze and display results in a clear manner to make informed, unbiased decisions. Users can compare results against plans and forecasts, and explore and present data using data science modeling, algorithms and auto-suggested data displays, so the organization can build and sustain a competitive advantage. Augmented Analytics provides clear results in context so users can drill down to find the root cause of a problem and discover subtle patterns and trends that will help the business achieve its goals.

There are many benefits to the Smarten and Augmented Analytics approach to business intelligence. If you want to take advantage of these benefits and add value to your organization, Contact Us.

]]>
https://www.elegantjbi.com/blog/augmented-data-discovery-helps-business-users-achieve-results.htm/feed/ 0
Business Intelligence Tools for Business Users https://www.elegantjbi.com/blog/restrictive-bi-tools-are-not-the-answer.htm https://www.elegantjbi.com/blog/restrictive-bi-tools-are-not-the-answer.htm#comments Wed, 18 Apr 2018 08:36:20 +0000 https://www.elegantjbi.com/blog/?p=5365 Continued]]> Restrictive BI Tools are Not the AnswerSelf-Serve Business Intelligence Provides a Competitive Advantage!

An enterprise that employs restrictive business intelligence tools is losing competitive advantage and crucial business opportunities every day. To get the most out of business intelligence software, an organization needs a self-serve business intelligence dashboard that will allow business users to access data integrated from multiple sources and analyze that data with ease, using business intelligence reporting that incorporates sophisticated features in a simple, interactive environment.

You may believe that business intelligence must be restrictive in order to achieve data governance and security. You may think that self-serve business intelligence is costly to implement and takes a lot of time to train business users. But, that is not the case. With the right Business Intelligence Tool, you can ReImagine Business Intelligence.

With flexible BI tools that will help business users to better understand data, your users can make confident business decisions, share data with other users and play a more meaningful role within the organization. Today’s business intelligence must provide data in a way that allows the business user, the IT staff and data scientists to leverage the tool using the skill, knowledge and professional expertise of their business position and role.

If you need excellent Self Service BI Software, look here: BI Dashboards and BI Reporting, Contact Us now.

]]>
https://www.elegantjbi.com/blog/restrictive-bi-tools-are-not-the-answer.htm/feed/ 0
Plug n’ Play Predictive Analytics for Your Business https://www.elegantjbi.com/blog/assistive-predictive-modeling-for-every-business-user.htm https://www.elegantjbi.com/blog/assistive-predictive-modeling-for-every-business-user.htm#comments Tue, 17 Apr 2018 13:29:38 +0000 https://www.elegantjbi.com/blog/?p=5361 Continued]]> Assistive Predictive Modeling for Every Business UserHow Can Assistive Predictive Modeling Help My Business Users?

Assistive Predictive Modeling allows business users to leverage a self-serve advanced analytical tool and to enjoy complex, sophisticated forecasting and business predictions in a simple, user-friendly dashboard environment – all without the skills of an analyst, data scientist or IT professional.

Predictive Analytics for business users incorporates analytical and forecasting techniques with easy-to-use tools to guide them through recommended techniques and report formats and ensure that the methods and reports they choose are appropriate to the type of data and information they need.

If you are wondering how and why predictive analytics software has expanded into the self-serve business user market, the reason is simple. Every business is operating in a rapidly changing competitive environment and market. In order to achieve goals and objectives and perform well in their respective roles, business users need to analyze data, draw conclusions, predict results and help the organization achieve its goals.

Businesses cannot afford to wait for IT, or professional analysts or data scientists to produce reports. Every enterprise needs a clear guide to results – one that every business user can leverage without expensive, time-consuming training or special skills.

Plug n’ Play Predictive Analysis offers easy-to-use navigation, drag and drop flexibility and personalized dashboard capabilities, so every user in the organization can plan and make decisions, share data, analyze and make decisions with confidence.

Predictive Analytics Software should be easy to implement, easy to personalize and easy to use. It should provide for rapid ROI and low TCO and allow for easy integration of data from numerous data sources and mobile accessibility that is suitable for every type of device.

Assisted Predictive Modeling allows for planning and forecasting at any point in time, and enables business users and enterprises to test assumptions and theories in a risk-free environment so the business can make changes, add resources, and get to the heart of issues without depending on educated guesses or opinion.

Assisted Predictive Modeling can help your business achieve its goals. If you want to find out more, Contact Us.

]]>
https://www.elegantjbi.com/blog/assistive-predictive-modeling-for-every-business-user.htm/feed/ 0
Advanced Analytics with Uniform, Secured Access https://www.elegantjbi.com/blog/2018/04/13/april-13-2018/fine-grain-analytics-and-reporting.htm https://www.elegantjbi.com/blog/2018/04/13/april-13-2018/fine-grain-analytics-and-reporting.htm#comments Fri, 13 Apr 2018 08:40:36 +0000 https://www.elegantjbi.com/blog/?p=5358 Continued]]> Take the Confusion Out of Analytics User Access & SecurityCan One BI Tool and Solution Guarantee User Access and Appropriate Security?

I have a few pet peeves but every one of my team members knows ONE of these pet peeves all too well. I HATE spending time and resources on endless report customization and data sharing that never quite makes it to every team member. I hate it when everyone isn’t on the same page! But, I don’t have the time to run to every office and check on what team members are using to make decisions.

I did find a Business Intelligence Tool that helps me by giving me the peace of mind of knowing that every team member has access to the same reports, data controls and access and can, therefore, share and understand information AS a team and make appropriate decisions. The analytics tool I have now provides fine grain access controls so we can develop reports and roll them out to every team member ONCE to provide a uniform, clear, intuitive environment with appropriate access rights by region, territory, role, product responsibility and other factors.

My team members get to see what they need (and are allowed) to see to make decisions and I have the peace of mind of knowing that everyone is working from the same play book to produce quality outcomes and make the best decisions.

The Data Analytics Software I use is simple to use but VERY sophisticated in its features and functionality. So, I have what I need and, as my organization changes, grows and shifts roles and responsibilities, I can accommodate those changes without frustration or lost time or effort.

If this all sounds too easy and good to be true, I am here to tell you that it is very real. My team is happy and one of my worst pet peeves has been resolved. If you want to get on board and develop your own easy-as-pie reporting and analytical environment, you can start here: ReImagine Business Intelligence

]]>
https://www.elegantjbi.com/blog/2018/04/13/april-13-2018/fine-grain-analytics-and-reporting.htm/feed/ 0
What is So Important About Augmented Data Discovery? https://www.elegantjbi.com/blog/2018/04/12/april-12-2018/augmented-data-discovery.htm https://www.elegantjbi.com/blog/2018/04/12/april-12-2018/augmented-data-discovery.htm#comments Thu, 12 Apr 2018 13:58:19 +0000 https://www.elegantjbi.com/blog/?p=5355 Continued]]> Are Augmented Data Discovery Tools Important for My Business?Can Augmented Data Discovery Make a Difference in My Organization?

There are so many new terms in the business intelligence and advanced analytics domain. So, what is augmented data discovery, and why is it important for your enterprise? Augmented Data Discovery (aka Smart Data Discovery), takes the enterprise beyond data monitoring and helps users discover the more subtle yet crucial factors that affect business success. It identifies hidden issues and patterns within the data so the organization can address challenges, capitalize on competitive and market advantages and plan for the future with more confidence. There are a couple of components to the augmented data discovery continuum.

First, there is Augmented Data Preparation This process helps users access data integrated from varied data repositories and sources in a single interface, so they can test theories and hypotheses. These tools give users access to crucial data and Information and connect to data sources, including personal, external, Cloud, and IT provisioned data, to mash-up and integrate data. The right augmented data discovery solution provides tools like auto-suggested relationships, JOINs, type casts, hierarchies and clean, reduce and clarify data with integrated statistical algorithms like binning, clustering and regression for noise reduction and identification of trends and patterns.

The second component of Augmented Data Discovery is Augmented Analytics. This process automates data insight by utilizing Machine Learning and Natural Language Processing and automates data preparation so users can share crucial data and make decisions. With an advanced augmented data discovery solution, the organization can share, manipulate and present data with clear results and access to sophisticated tools. These tools ensure that the organization makes decisions based on fact rather than opinion.

If you want to know what makes augmented data discovery so important, it is quite simple, actually. With Augmented Data Discovery, the organization can notate and highlight data, share data with other users and most importantly, the enterprise can identify critical ‘ah hah’ data points and information hidden within the data to accurately plan, forecast and solve problems. These tools provide support, suggesting relationships, identifying patterns, suggesting visualization techniques and formats, highlighting trends and patterns and helping users and organizations to forecast and predict results. This enables the enterprise to manage data overload and overwhelming workload, and to provide important information and answers to every team member with sophisticated tools in an easy-to-use, drag and drop interface, which requires no advanced skill or knowledge of statistical analysis, algorithms or techniques.

If this sounds like something you want to explore, you can get started here: Smarten Approach

]]>
https://www.elegantjbi.com/blog/2018/04/12/april-12-2018/augmented-data-discovery.htm/feed/ 0
Analytics Translator? Citizen Data Scientist? What is the Difference? https://www.elegantjbi.com/blog/analytics-translator-citizen-data-scientist-what-is-the-difference.htm https://www.elegantjbi.com/blog/analytics-translator-citizen-data-scientist-what-is-the-difference.htm#comments Wed, 11 Apr 2018 10:35:09 +0000 https://www.elegantjbi.com/blog/?p=5352 Continued]]> Analytics Translator? Citizen Data Scientist? What is the Difference?There is a new business role on the horizon and, at first glance, it may seem very much like a role that was introduced a few short years ago. This new enterprise role is known as an ‘Analytics Translator’ and, while there is some confusion regarding the distinction between this role and the newly minted Citizen Data Scientist or Citizen Analyst, there are some subtle but important differences. In a previous article (What is an Analytics Translator and Why is the Role Important to Your Organization?), we discussed the definition of an Analytics Translator. Here, we will discuss the role of Citizen Data Scientist and Analytics Translator and how they differ. To understand these roles, let’s look first at the somewhat more familiar role of Citizen Data Scientist (AKA Citizen Analyst).

What is a Citizen Data Scientist (Citizen Analyst)?

Gartner defines a Citizen Data Scientist as ‘a person who creates or generates models that leverage predictive or prescriptive analytics but whose primary job function is outside of the field of statistics and analytics.’ A Citizen Data Scientist is different from a true Data Scientist in one crucial way; namely, they do not have the skills or training to be an analyst or a programmer but, with the right tools, they are capable of generating reports, analyzing data and sharing data to make decisions.

Citizen Analysts represent a new breed of business user. These business users have adopted business intelligence and advanced analytical tools to gather and analyze data from varied data sources and use that analysis to identify the root cause of problems, identify opportunities, solve problems and share crucial data to support business decisions. Citizen Analysts create and generate data models and use sophisticated analytics that are supported by easy-to-use interactive BI dashboards. By definition, Citizen Analysts are not data scientists, or professional analysts or IT staff. Rather, they hold varied positions within the business organization and use data analysis to support decisions made within their business role, team or responsibility.

How Does the Analytics Translator Role Differ?

The Analytics Translator is an important member of the new analytical team. As organizations encourage data democratization and implement self-serve business intelligence and advanced analytics, business users can leverage machine learning, self-serve data preparation, and predictive analytics for business users to gather, prepare an analyze data. The emerging role of Analytics Translator adds resources to a team that includes IT, data scientists, data architects and others.

Analytics Translators do not have to be analytical specialists or trained professionals.

With the right tools, they can easily translate data and analysis without the skills of a highly trained data pro. Using their knowledge of the business and their area of expertise, translators can help the management team focus on targeted areas like production, distribution, pricing and even cross-functional initiatives. With self-serve, advanced analytics tools, translators can then identify patterns, trends and opportunities, and problems. This information is then handed off to data scientists and professionals to further clarify and produce crucial reports and data with which management teams can make strategic and operational decisions.

When identifying possible candidates to perform the Analytics Translator role, the organization should look for skills that can be nurtured and optimized as an asset.

  • A power user of self-serve BI tools
  • Recognized as an expert in a functional, industry or organizational role
  • Comfortable with building and presenting reports and use cases
  • Works well with technical and management teams
  • Manages projects, milestones and dependencies with ease
  • Able to translate analysis and conclusions into actionable recommendations
  • Comfortable with metrics, measurements and prioritization
  • Acts as a role model for user and team member adoption of new processes and data-driven decisions

If this role is recognized as important to the organization, most enterprises will structure a logical program to identify and train candidates to ensure uniform skills and performance.

By combining domain, organizational and industry skills with self-serve analytical tools, the Analytics Translator can help the enterprise to achieve low total cost of ownership (TCO) and rapid return on investment (ROI) for its Business Intelligence and Advanced Analytics initiatives and can encourage and nurture data democratization and optimal analytical business results within the organization.

Citizen Data Scientists/Citizen Analysts play a crucial role in day-to-day analysis and decision-making, using Self-Serve Business Intelligence Tools. Analytics Translators bridge the gap between IT, data scientists and business users, and move initiatives forward by acting as a liaison and topic expert to help the organization focus on the right things to achieve its goals.

Does your organization need Citizen Data Scientists AND Analytics Translators? The answer is, YES!

Original Post: Analytics Translator? Citizen Data Scientist? What is the Difference?

]]>
https://www.elegantjbi.com/blog/analytics-translator-citizen-data-scientist-what-is-the-difference.htm/feed/ 0
Analytics for Healthcare Provides Critical Metrics https://www.elegantjbi.com/blog/business-intelligence-for-healthcare-is-crucial-for-success.htm https://www.elegantjbi.com/blog/business-intelligence-for-healthcare-is-crucial-for-success.htm#comments Fri, 06 Apr 2018 09:18:10 +0000 https://www.elegantjbi.com/blog/?p=5291 Continued]]> Business Intelligence for Healthcare is Crucial for SuccessBusiness Intelligence for Healthcare Allows Business Users to Manage Results!

Every industry and type of business function can use clear, concise business intelligence. Analytics for healthcare can help your organization to plan and forecast and to find the root cause of problems and capitalize on opportunities.

The healthcare industry is under more scrutiny today than any other single industry. Whether your enterprise is a medical practice, a single hospital or an enterprise with multiple regional facilities or an urgent care, ambulance or home nursing care practice or a health insurance provider or healthcare software solutions enterprise, your business is more complicated today than ever before!

In order to make confident decisions and mitigate risk, your enterprise must understand and attend to privacy laws, information security, health care practice regulations, patient records and requirements, practice management, staff management, training, financial stability, facilities and equipment management and many other factors.

There is a constant demand for accurate, timely information from health insurance and health care companies to satisfy information requests for industry and government regulators, management, stakeholders and investors, patients and other healthcare service participants. Resource management and optimization is critical and budgets are tight! Added to these challenges are the constant changes in laws, regulations and industry standards.

Today’s health-related industries depend on metrics, and users need a Reporting Tool for Healthcare that includes KPI for healthcare with measurements and reporting that addresses the healthcare market.

Healthcare administrators, professionals and managers are caught in complex web of patient records management, human resource allocation, infrastructure and facilities and equipment availability and knowledge and skills management and overburdened by the need to process claims and insurance paperwork as well as financial transactions, billing, appointments, shift assignments and business and operational performance.

Business Intelligence for Healthcare should satisfy the unique needs of professionals who work in the market and who need data that is organized and delivered in a way that is meaningful to them and can help them to better perform in their role and to solve problems and meet goals and objectives.

If you need BI for Healthcare solution, Contact Us now.

]]>
https://www.elegantjbi.com/blog/business-intelligence-for-healthcare-is-crucial-for-success.htm/feed/ 0
Self-Serve Data Preparation for Business Users https://www.elegantjbi.com/blog/augmented-data-preparation-saves-time-and-produces-results.htm https://www.elegantjbi.com/blog/augmented-data-preparation-saves-time-and-produces-results.htm#comments Thu, 05 Apr 2018 13:37:14 +0000 https://www.elegantjbi.com/blog/?p=5288 Continued]]> Augmented Data Preparation Saves Time and Produces ResultsIs Self-Serve Data Preparation Really Possible?

Your business users are ready to do the job! They have a lot of data spread across the enterprise in various data repositories and forms and they want to pull it all together and analyze the data to get the answers to the questions you ask them every day. But, preparing that data is not easy.

In the old days, team members would reach into a file cabinet and pull out folders with the right information. They would pour over the numbers and the data and draw conclusions and then make a plan or provide a report. Sometimes the data was old and sometimes the conclusions they drew were incorrect or based on biased opinion.

Today, Self-Serve Data Preparation can provide business users with the tools they need to find and prepare the data they will need to answer those crucial questions and to do all of that without the assistance of an already overburdened IT staff. Data preparation does not have to be difficult.

Now your users can get what they want, when they want it with complete control over data elements, as well as the volume and the timing. Self Service Business Intelligence provide easy to use tools so that business users can prepare their data on their own without the assistance of IT staff. They can use simple extraction, transformation and loading features – ETL for business users – to extract the data they want and perform analysis and reporting quickly and easily.

Self-Serve Data Preparation allows business users to perform data preparation and Augmented Data Preparation features allow business users to test theories and hypotheses by prototyping on their own. Users have access to simple, easy-to-use interfaces, and drag and drop functionality, without the need for complex tools.

When data preparation for analytics is married with self-serve data prep, users can bypass the process of preparing data at the central meta data layer and access, and prepare data to create and share reports and create custom alerts. Using Smarten suggestions and auto-suggested relationship, they can discover answers and leverage JOINS, hierarchies and type casts without the skill and knowledge of a data scientist.

Today, Self Service Data Preparation is a reality. If you want to find out more, Contact Us.

]]>
https://www.elegantjbi.com/blog/augmented-data-preparation-saves-time-and-produces-results.htm/feed/ 0
Business Intelligence Integrated with Tally®! https://www.elegantjbi.com/blog/business-intelligence-for-tally-users.htm https://www.elegantjbi.com/blog/business-intelligence-for-tally-users.htm#comments Mon, 02 Apr 2018 14:23:58 +0000 https://www.elegantjbi.com/blog/?p=5285 Continued]]> Business Intelligence for Tally Users!Can My Business Get a Business Intelligence Solution for Tally Users?

If you work in business, you use technology and software. If you use software, you have most likely come up against a software ‘silo’; one of those frustrating tools that you love for what it can do and hate for how restricted it makes you feel. You can’t integrate data or tasks with other crucial systems and you live in a world of workarounds.

If you are a Tally® user, you probably love the solution! Accounting, financial tasks, Tally handles it all, including ad-hoc data mining and visualization. But, you need more. Your reporting needs are never-ending, and the need for ad hoc data mining and visualization is enormous. Your top executives need to monitor summary results and key performance indicators, and sales managers need information on weekly sales, targets, and receivables.

Standard reports aren’t enough. You need new reports and formats all the time and you need mobile access to data and integration with other systems in a single view.

Just imagine what you could do with a Business Intelligence Solution for Tally® to provide Tally Reporting, and an integrated Tally Dashboard. Business Intelligence for Tally comes with pre-built, ready dashboards, KPI and reports and allows for critical monitoring of business parameters and performance indicators, one that allows you to design any report, any dashboard or KPI to address your business needs. While you are imagining, consider this: your business users can get started with one-day implementation and training and your business can save money and avoid using crucial analytical an IT resources to create specialized reports and perform data extraction and analysis.

What if your business users could manage and monitor results using data from Tally and from other systems in a consolidated view that incorporates data from various applications and spreadsheets?

Explore visual data mining (deep dive); drill down, drill through, slice and dice data in tabular and graphs format. Use cutting-edge Business Intelligence software to access and Report in Tally data and make confident business decisions. Access your data anywhere, anytime on your desktops, laptops, tablets and smart phones.

Given the right tools, you can easily implement a performance driven culture and be ready to take on the market with accurate, clear data and reports that will help you analyze and plan at the strategic, operational and tactical level.

Find out how you can marry the power of Tally with a self-serve, mobile business intelligence solution. Contact Us now.

]]>
https://www.elegantjbi.com/blog/business-intelligence-for-tally-users.htm/feed/ 0
Predictive Analytics for Business Users! https://www.elegantjbi.com/blog/plug-n-play-predictive-analysis-is-good-for-all.htm https://www.elegantjbi.com/blog/plug-n-play-predictive-analysis-is-good-for-all.htm#comments Mon, 02 Apr 2018 12:21:01 +0000 https://www.elegantjbi.com/blog/?p=5281 Continued]]> Plug n' Play Predictive Analysis is Good for All!Can Business Users Adopt Assisted Predictive Modeling?

Assisted predictive modeling is no longer the sole domain of data scientists and IT staff. With the right predictive analytics tools, your business users can accurately plan and forecast results and share data to build a dependable picture of the future for your organization, and for each team, division and individual.

Plug n’ Play Predictive Analysis can truly provide predictive analytics for business users and predictive analytics can benefit organizations in many ways. Whether you want to find out how best to acquire and retain customers, what new products and services your customers want, how to price a product, where to open a new location, or how your customer purchasing behavior is changing, predictive analysis can help you understand historical patterns and use your data and results to more accurately predict the future.

In the past, business users struggled to understand the relationship between their roles and responsibilities and the results the organization achieved. If you empower your business users with easy-to-use, sophisticated predictive analytics, you can cascade and share strategic, operational and tactical goals and enable users to share data and use that data to make better decisions.

Your business users are not data scientists, nor should they have to acquire and use sophisticated skills to get the answers they need. With real self-serve, Predictive Analysis Tools, business user can apply complex predictive algorithms without the expertise and skill of a trained data scientist or the assistance of IT staff. With these tools, business users will become more of an asset to the organization and you can transform every team member into a Citizen Data Scientist and employ their unique professional skills and knowledge to gather and analyze data in a way that is meaningful to their role and their assigned tasks and activities.

No matter how small or large your business, and no matter your industry, your organization cannot afford a market or competitive misstep. There is no time to guess at the future. But, with the right tools to build the right plan and anticipate product, service, pricing, distribution, location and customer changes and evolution, your business can accurately plan for success.

Take the Smarten approach to assisted predictive modeling and Plug n’ Play Predictive Analysis.

Contact Us today to find out how to get started.

]]>
https://www.elegantjbi.com/blog/plug-n-play-predictive-analysis-is-good-for-all.htm/feed/ 0
Business Intelligence for Small Business https://www.elegantjbi.com/blog/business-intelligence-for-small-business-it-really-exists.htm https://www.elegantjbi.com/blog/business-intelligence-for-small-business-it-really-exists.htm#comments Tue, 20 Mar 2018 13:14:35 +0000 https://www.elegantjbi.com/blog/?p=5277 Continued]]> Business Intelligence for Small Business: It Really Exists!Does Business Intelligence for Small Business Really Exist?

Just because a business is small, that doesn’t’ mean they are exempt from the problems of larger organizations, nor does it mean they have any less need to monitor and manage data and to understand results and plan for the future. If you are small business owner or manage and you think business intelligence for small business is out of your grasp because of cost or complexity, you will be pleased to know that BI for small business can and does exist and it is cost-effective and easy to implement and use.

If it is to be successful, a small business must constantly explore opportunities for growth and market and competitive optimization. No matter the size of the organization, no business manager wants to spend money needlessly and no business wants to operate in an environment of confusion or guess at results and the potential for future success.

Even in the smallest business environment, your competition may include large enterprises. In order to compete and sustain business success, you must work with timely, accurate information, filtered for your needs. You don’t have time to shuffle through multiple reports and punch numbers into a calculator! The information produced by accounting systems, financial professionals, purchasing, sales, training and other functions can be difficult to interpret and filter.

Another issue that may complicate your business analysis and planning tasks is that, as a small business owner or manager, you know your company and product or service very well, but you may not have the time, money or skill to perform complex analysis and see hidden patterns or trends or identify the frustratingly elusive root cause of a problem.

But, with tools designed for small business, there is no need to wonder if you are making the right choices to achieve a competitive advantage or improve your client satisfaction or change your supplier.

BI for Small Business can help you to find, filter and understand business results, and you need not sacrifice or compromise because you are operating in a small business environment.

Find out how Business Intelligence for Small Business can satisfy business user skills, and provide a cost-effective, easy-to-implement environment in which to perform sophisticated analytics with tools designed to be suitable for small businesses. Contact Us now.

]]>
https://www.elegantjbi.com/blog/business-intelligence-for-small-business-it-really-exists.htm/feed/ 0
Augmented Data Discovery for Business Users https://www.elegantjbi.com/blog/augmented-analytics-is-easy-enough-for-business-users.htm https://www.elegantjbi.com/blog/augmented-analytics-is-easy-enough-for-business-users.htm#comments Tue, 20 Mar 2018 11:21:14 +0000 https://www.elegantjbi.com/blog/?p=5274 Continued]]> Augmented Analytics is Easy Enough for Business UsersIs Augmented Analytics Too Complex for Business Users?

The concept of Augmented Analytics may sound complicated (and it may, in fact, be a challenge for a software vendor to accomplish), but the new augmented data discovery tools are quite easy to use. Unlike the data discovery tools of old, business users do not need to look to the IT staff or data scientists to perform advanced data discovery.

The rapidly expanding self-serve business intelligence and analytics market has provided Advanced Analytics Tools that are suitable for every business user. True data democratization and self-serve tools and features allow business users to leverage advanced analytics, and sophisticated algorithms and features in an easy-to-use environment to easily prepare and analyze data and to visualize and explore data, notate and highlight data and share data with others.

If you think your users can’t take advantage of these tools, imagine an environment with a drag and drop interface, where no advanced skills are required. And users can gather, prepare, integrate and analyze data, find patterns and trends, share findings and apply those results to strategic, operational and tactical activities.

To truly gain a competitive advantage and achieve objectives, your users must be able to take the guesswork out of decision-making and planning and discover those subtle and important factors that highlight issues and patterns, and help the organization capitalize on opportunities.

Advanced Analytics Software features suggests relationships, identify patterns, suggest visualization techniques and formats, highlight crucial trends and patterns, and present accurate predictions and forecasts, all in an intuitive interface that will ensure ease-of-use and business user adoption. If you want to explore the benefits of Augmented AnalyticsContact Us now.

]]>
https://www.elegantjbi.com/blog/augmented-analytics-is-easy-enough-for-business-users.htm/feed/ 0
BI Tools with Easy Connectivity, Implementation and Training https://www.elegantjbi.com/blog/2018/03/14/march-14-2018/sap-navision-tally-bi-tool-connectivity.htm https://www.elegantjbi.com/blog/2018/03/14/march-14-2018/sap-navision-tally-bi-tool-connectivity.htm#comments Wed, 14 Mar 2018 10:47:36 +0000 https://www.elegantjbi.com/blog/?p=5270 Continued]]> Connect BI Tools with Business Software - Easily and QuicklyDoes Your BI Tool Easily Connect to ERP and Other Crucial Software?

Today’s business enterprise does not want to settle. If you plan to implement or upgrade your business intelligence solution, you would understandably expect to be able to use the other solutions your business users depend upon. Best-of-breed or enterprise solutions like Tally® for accounting and financial management, or SAP or Navision for enterprise-wide management are just such examples of software and solutions you would want to integrate and include in business intelligence and advanced analytics.

So, if you are in the market for a new or upgraded BI tool, you definitely need to consider the cost and time required to implement and, equally importantly, to connect and integrate data from other crucial applications and solutions so that you can easily access, use and analyze data within the Business Intelligence Tool. Your business intelligence and augmented analytics solution should take a comprehensive approach to data access, dependability, mobility and the user experience.

Simple, easy-to-implement connectivity between BI tools and your enterprise applications provides organizations with ease of access to organizational data. Users can leverage the sophisticated, easy-to-use features to analyze data and produce reports and dashboards on their own without dependence on IT or analytical staff.

Look for a solution that provides connectivity via BAPI to access data within SAP and other enterprise solutions. Here are some other factors you will want to consider:

  • Rapid, easy implementation (a day or a week…not a month or a year), and training
  • Rapid Return on Investment (ROI) and low Total Cost of Ownership (TCO)
  • Tools designed to support a large data volume and a large user community
  • Access from any device (smart phone, tablet, desktop, etc)
  • No reliance on third party reporting
  • A self-serve BI environment where users can create dashboards, reports and KPIs on their own
  • Easy connectivity, upgrade, and maintenance and support

When you look at a Business Intelligence Solution, be sure you consider this all-important connectivity issue. Otherwise, you are likely to be trapped in an expensive cycle of customization and complex support and upgrade issues. Connect Your Apps with BI

]]>
https://www.elegantjbi.com/blog/2018/03/14/march-14-2018/sap-navision-tally-bi-tool-connectivity.htm/feed/ 0
Assisted Predictive Modeling and Analytics for Everyone https://www.elegantjbi.com/blog/2018/03/13/march-13-2018/assisted-predictive-modeling-plug-and-play.htm https://www.elegantjbi.com/blog/2018/03/13/march-13-2018/assisted-predictive-modeling-plug-and-play.htm#comments Tue, 13 Mar 2018 13:49:30 +0000 https://www.elegantjbi.com/blog/?p=5267 Continued]]> Predictive Analytics for AllNeed Analytics for Business Users AND Data Scientists? No Problem!

Does your business intelligence solution provide true advanced analytics capabilities? Can your BI tool satisfy the needs of business users, data scientists and IT staff? That may seem like a tall order but with the right business intelligence software, you can provide predictive analytics for business users, including assisted predictive modeling that walks users through the analytical process and allows them to achieve the best results without a sophisticated knowledge of data analytical techniques.

You can transform those business users into Citizen Data Scientists! Plug n’ play predictive and forecasting tools help businesses to create Citizen Data Scientists by enabling the average business user to leverage sophisticated predictive algorithms without the expertise and skill of a trained data scientist, so users who are not statisticians or predictive algorithm experts, can leverage Self-Service Plug n’ Play Predictive Analytics Tools to confidently make business decisions.

At the same time you can give your data professionals tools like R integration to satisfy the needs of skilled data scientists and business analysts who use the ‘R’ platform for statistical and predictive algorithms. You can give them a solution that integrates seamlessly with R Script so that they can leverage Plug n’ Play Predictive Analysis in combination with R scripting integration, to perform more sophisticated and complex analysis, achieve clarity and provide detailed, meaningful advanced analytics and reporting for the organization.

Plug and Play Predictive Analysis enables analysis of customer churn and acquisition, cross-sales and other opportunities, price points for new products, distribution channels, customer loyalty programs, and more. Whether serving business users, IT staff or data scientists, the right advanced analytics solution will provide features for time series forecasting, causation and prediction algorithms, classification and prediction and other features that allow users to work at their own skill level and produce clear reporting and analysis.

There is no point in frustrating or limiting the user when one tool can satisfy the requirements of every user and skill level in the organization. If you want to explore the possibilities, start here:

If this sounds like something you want to try, you can start here: Smarten Approach

]]>
https://www.elegantjbi.com/blog/2018/03/13/march-13-2018/assisted-predictive-modeling-plug-and-play.htm/feed/ 0
BI for Customer Relationship Management https://www.elegantjbi.com/blog/capitalize-on-analytics-for-customer-relationship-management.htm https://www.elegantjbi.com/blog/capitalize-on-analytics-for-customer-relationship-management.htm#comments Wed, 07 Mar 2018 13:28:07 +0000 https://www.elegantjbi.com/blog/?p=5264 Continued]]> Capitalize on Analytics for Customer Relationship ManagementCan Business Intelligence for CRM Help Attract and Retain Customers?

Customer service and customer satisfaction are the backbone of customer relationships. In an effort to ensure customer satisfaction and retention, businesses spend a lot of time trying to understand buying behavior, customer expectations for product support, website support and product and service variety, as well as gaps in product and service offerings.

If an organization can accurately monitor and measure customer service factors and customer satisfaction, it is easier to resolve issues and capitalize on opportunities and to anticipate customer needs and fill market gaps. The goal is always to attract new customers, retain existing customers and obtain those all important client references.

Business Intelligence for CRM is crucial to business success. Your competitors have already embraced metrics and KPI for customer relationship management to provide objective metrics and understand what tasks and activities support goals, and where the business needs to refocus.

Analytics for Customer Relationship Management helps to identify the problems affecting customer service, and allows one to understand delays in delivery, response time for information requests, the number and nature of complaints and claims and numerous other factors.

A BI tool for customer relationship management set priorities to serve key customers and to understand buying behavior and customer satisfaction for various market segments, client profiles, products and services. Team members can use consistent goals and expectations to satisfy service expectations and be accountable for established objectives. Where results are declining or customer satisfaction is poor, the organization can quickly assess the root cause of the problem and adapt processes, training, policies and procedures to ensure that critical business initiatives are not put at risk.

If you need BI for Customer Relationship Management, designed to support your team out-of-the-box, we encourage you to Contact Us today.

]]>
https://www.elegantjbi.com/blog/capitalize-on-analytics-for-customer-relationship-management.htm/feed/ 0
Why Do You Need Self-Serve Data Preparation? https://www.elegantjbi.com/blog/is-self-serve-data-prep-really-self-serve.htm https://www.elegantjbi.com/blog/is-self-serve-data-prep-really-self-serve.htm#comments Wed, 07 Mar 2018 10:37:41 +0000 https://www.elegantjbi.com/blog/?p=5261 Continued]]> Is Self-Serve Data Prep, REALLY Self-Serve?Self-Serve Data Preparation Takes the Headache Out of Data Analytics!

Self-Serve Data Preparation (aka augmented data preparation) is all about efficiency and the presentation of sophisticated data preparation tools in an easy-to-use environment. The idea behind self-service data preparation is to give the average business user the ability to prepare, use, report on and share data without the assistance of IT staff or analysts, thereby making their jobs easier and making every team member more of an asset to the organization.

Business users love Self-Serve Data Preparation because they can control data elements, and the volume and timing, perform data preparation and test theories and hypotheses by prototyping on their own. No one likes to be restricted to complex tools or forced to wait for programmers or data scientists.

Give your business users access to crucial data and connect them to data sources so they can mash up and integrate data in a single, one-stop, interactive view. Great Data Preparation for analytics allows users to leverage auto-suggested relationships, JOINs, type casts, hierarchies, and reduces and clarifies data to make it easier for users to interpret and analyze data.

Business users with average technical skills can capitalize on integrated statistical algorithms like binning, clustering, and regression for noise reduction, and trend and pattern identification, and do it all without assistance. And, if your organization is concerned about data governance, there is no reason to worry. Your organization can promote data and reports created by business users to IT provisioned, and IT approved data sources, and identify these data sources with clear watermarks to provide an appropriate balance between agility, governance and data quality.

So, yes, you can have it all! Self-Serve Data Preparation is within your reach. If you want to take the Smarten approach and help your business users get to the next level, Contact Us.

]]>
https://www.elegantjbi.com/blog/is-self-serve-data-prep-really-self-serve.htm/feed/ 0
Social BI: A Recipe for Success https://www.elegantjbi.com/blog/2018/02/27/february-27-2018/social-bi.htm https://www.elegantjbi.com/blog/2018/02/27/february-27-2018/social-bi.htm#comments Tue, 27 Feb 2018 11:19:41 +0000 https://www.elegantjbi.com/blog/?p=5247 Continued]]> Social BI Helps Users AND Data AdministratorsSocial BI Guides Administrators by Highlighting the Type of Content Users Want!

Social networks and social media affect the lives of consumers and business users alike. Everyone knows them, and everyone uses them. Every aspect of modern life involves sharing and social interaction, Imagine an environment where business users can access a business intelligence and analysis portal and see popular data to rate, share and comment. This type of sharing can optimize resources by allowing users to access reports, dashboards and data that might be just what they need to complete a task or analysis. When you implement social media and social networking within the Business Intelligence environment business users can share, rate, discuss and learn from others.

With Social BI, organizations will see the emergence of power users who take a creative, insightful approach to data analysis. Just as social media users can ‘Like’ or ‘Share’ a provocative post from another user, a social business intelligence tool can support the same kind of sharing and learning within your organization.

AND, as power users, and data analysis, become ‘popular’, the enterprise will see improved user adoption of BI tools and begin to understand the types of data that users value, and how to provide, and present, data to improve data leverage, and increase confidence in decisions. Understanding the social aspect of data analysis, and data popularity allows the enterprise to make decisions about additional provisioning of data, reports and dashboards to business users.

Social BI Tool engenders and encourages collaboration and provides valuable insight for administrators to illustrate the type and format of content and data your users want.

Are you looking for ways to help your administrators and managers determine what type of data will make users more productive and provide crucial support for business decisions?

Social BI will:

  • Promote collaboration, improve productivity
  • Allow users to share, rate, comment and popularize data to understand what data business users want and need
  • Balance data quality vs. popularity
  • Promote collaborative decision-making among business user

If this sounds good to you, then go with the experts. Let them help you establish the foundation for success! Social Business Intelligence

]]>
https://www.elegantjbi.com/blog/2018/02/27/february-27-2018/social-bi.htm/feed/ 0
Is Self-Serve Data Prep the Same as Augmented Data Prep? https://www.elegantjbi.com/blog/2018/02/27/february-27-2018/self-serve-data-preparation.htm https://www.elegantjbi.com/blog/2018/02/27/february-27-2018/self-serve-data-preparation.htm#comments Tue, 27 Feb 2018 09:20:38 +0000 https://www.elegantjbi.com/blog/?p=5243 Continued]]> Self-Serve Data Prep is Possible and Wonderful!Self-Serve Data Preparation and Augmented Data Prep Go Hand in Hand!

I was talking to a friend the other day and she shared with me her experience at a recent business intelligence conference. She was a bit confused by some of the terminology and we spent a few minutes parsing the terms and talking about the concept of self-serve data preparation. She was confused by the fact that self-serve data prep and augmented data preparation are often mentioned in the same discussion.

“If something is self-serve,” she said. “How can it be augmented? Self-serve seems to me to mean that a person can do it alone without assistance.” She considers ‘augmenting’ to be assisting. Well, in some ways she is correct. But, let me tell you what I told her.

Augmented Data Preparation is designed to provide guidance, recommendations and auto-suggestions so that a user can work alone to get sophisticated results in a simple, intuitive, self-serve environment.

Self-Serve Data Preparation allows business users to perform data preparation and test theories and hypotheses by prototyping on their own. Users are not restricted to complex tools or forced to wait for programmers or data scientists, so in that respect, using the system is truly a self-serve experience!

Transform business users into Citizen Data Scientists with Self-Serve Data Preparation Tools that allow users to compile and analyze data and test theories and prototypes to support dynamic decisions and planning on their own. Augmented data prep allows for advanced data discovery with auto-suggested relationships, JOINs, type casts, hierarchies, etc. and it reduces and clarifies data so that it is easier to use and interpret the data for analysis. There is no need for advanced skills or technical knowledge to gather, compile and prepare the data. Users can leverage integrated statistical algorithms like binning, clustering, and regression for noise reduction, and trend and pattern identification.

While my friend didn’t really know about binning, clustering or regression, she did grasp the significance of having a tool to guide her through the process of preparing data and help her see the results and the relationships with more clarity. Yes, the system does ‘augment’ and support the user but the user is able to do the work on their own and that is great! It means users don’t have to wait for IT staff or analysts to help them. It means, the business intelligence solution is self-serve!

If this sounds like something you want to try, you can start here: Smarten Approach

]]>
https://www.elegantjbi.com/blog/2018/02/27/february-27-2018/self-serve-data-preparation.htm/feed/ 0
ElegantJ BI Announces Social BI in Version 4.5 Business Intelligence Solution https://www.elegantjbi.com/blog/elegantjbi-announces-social-bi-in-version-4-5-business-intelligence-solution.htm https://www.elegantjbi.com/blog/elegantjbi-announces-social-bi-in-version-4-5-business-intelligence-solution.htm#comments Fri, 23 Feb 2018 12:56:09 +0000 https://www.elegantjbi.com/blog/?p=5240 Continued]]> ElegantJ BI Announces Social BI in Version 4.5 Business Intelligence SolutionElegantJ BI recently announced the release of version 4.5 of its Business Intelligence and Corporate Performance Management suite, which includes major features and enhancements. The release of ElegantJ BI v4.5 represents another step on the path to enhanced self-serve BI tools to support the transition of business users to collaborative power users with powerful Social BI capabilities. In addition to its many new features and enhancements, ElegantJ BI 4.5 introduces Social Business Intelligence, to support data sharing, rating, collaboration and the emergence of data popularity.

Kartik Patel, CEO of ElegantJ BI says, “Every aspect of modern life involves sharing and social interaction, The Social BI tools and environment are designed to support business users so that they can access a business intelligence and analysis portal and discuss questions, observations and suggestions with other users to analyze and understand a particular dashboard, report or KPI. Users can also rate the data available and any BI content, which can lead to the emergence of popular data and BI content in the business user community.”

When a business implements social media and social networking features within the Business Intelligence environment, business users can share, rate, discuss and learn from others. With Social BI, organizations will see the emergence of power users who take a creative, insightful approach to data analysis. Just as social media users can ‘Like’ or ‘Share’ a provocative post from another user, a social business intelligence tool can support the same kind of sharing and learning within your organization.

“As power users, and data analysis, become ‘popular’,” Patel says, “We believe the enterprise will see improved user adoption of BI tools and better understand the types of data that users value, and how to provide, and present, data to improve data leverage, and increase confidence in decisions.

ElegantJ BI is honored to be listed as a Niche BI and Analytics Vendor in Gartner Competitive Landscape: BI Platforms and Analytics Software, Asia/Pacific Report. ElegantJ BI was also listed in the Gartner ‘Market Guide for Enterprise-Reporting-Based Platforms’ as one of Representative Vendors, and in the ‘Gartner Magic Quadrant for Business Intelligence and Analytics Platforms’ Report, in the Other Modern BI Platform Vendors section.

You can experience the power of ElegantJ BI by downloading a free evaluation version at our download page.

]]>
https://www.elegantjbi.com/blog/elegantjbi-announces-social-bi-in-version-4-5-business-intelligence-solution.htm/feed/ 0
What is an Analytics Translator and Why is the Role Important to Your Organization? https://www.elegantjbi.com/blog/what-is-an-analytics-translator-and-why-is-the-role-important-to-your-organization.htm https://www.elegantjbi.com/blog/what-is-an-analytics-translator-and-why-is-the-role-important-to-your-organization.htm#comments Fri, 23 Feb 2018 09:29:12 +0000 https://www.elegantjbi.com/blog/?p=5237 Continued]]> What is an Analytics Translator and Why is the Role Important to Your Organization?Today, enterprises recognize the critical value of advanced analytics within the organization and they are implementing data democratization initiatives. As these initiatives evolve, new roles emerge in the organization. The newest of these analysis-related roles is the ‘analytics translator‘. As the enterprise considers the relevance of this new role within the business, it is important to understand the responsibilities of an Analytics Translator, and how this role might help the organization to achieve its goals.

What is an Analytics Translator?

The Analytics Translator is an important member of the new analytical team. As organizations encourage data democratization and implement self-serve business intelligence and advanced analytics, business users can leverage machine learning, self-serve data preparation, and predictive analytics for business users to gather, prepare an analyze data. The emerging role of Analytics Translator adds resources to a team that includes IT, data scientists, data architects and others.

Analytics Translators do not have to be analytical specialists or trained professionals. With the right tools, they can easily translate data and analysis without the skills of a highly trained data pro.

Using their knowledge of the business and their area of expertise, translators can help the management team focus on targeted areas like production, distribution, pricing and even cross-functional initiatives.

With self-serve, advanced analytics tools, translators can then identify patterns, trends and opportunities, and problems. This information is then handed off to data scientists and professionals to further clarify and produce crucial reports and data with which management teams can make strategic and operational decisions.

Why is an Analytics Translator Important to Your Organization?

IT resources and data professionals are typically in short supply within an organization and, if the enterprise wishes to increase staff, the cost of these highly skilled professionals can be prohibitive. In the average organization, these resources are usually stretched thin and time is wasted on projects that are:

  • Too complex for business team members
  • Conceived or inappropriate for attention at the data scientist or IT level
  • Comprised of incomplete requirements
  • Required for day-to-day or immediate analysis or data sharing initiatives
  • Tactical or low-level operational in nature

The time it takes for a data professional or IT professional to review the project and assign a priority, will take them away from more strategic or more critical tasks and, in the process, the business user may miss day-to-day deadlines or information that is critical to them. Perhaps, the data professional may need more information on requirements, which will further delay the project. There are many examples of unnecessary or inappropriate data analysis requests and many instances where a business user with access to analytical tools might be able to do the work themselves. But, there are even more examples of projects or analytical requirements that fall somewhere between the skills of a business user and the skills of a trained data scientist and just as many examples of poorly understood or poorly translated data analysis that sends a business user off in the wrong direction.

That is where the Analytics Translator comes in. Using her or his knowledge of the industry, the organization, the team and the analytics tools, the translator can play a crucial role in understanding requirements, preparing data and producing and explaining information in a way that is accurate and clear. As this role evolves within your organization, you will find that, by allowing the average business user to work with the Analytics Translator, that business user will become more knowledgeable and skilled in interpreting and understanding data.

The Ideal Analytics Translator

When identifying possible candidates to perform the Analytics Translator role, the organization should look for skills that can be nurtured and optimized as an asset.

  • A power user of self-serve BI tools
  • Recognized as an expert in a functional, industry or organizational role
  • Comfortable with building and presenting reports and use cases
  • Works well with technical and management teams
  • Manages projects, milestones and dependencies with ease
  • Able to translate analysis and conclusions into actionable recommendations
  • Comfortable with metrics, measurements and prioritization
  • Acts as a role model for user and team member adoption of new processes and data-driven decisions

If this role is recognized as important to the organization, most enterprises will structure a logical program to identify and train candidates to ensure uniform skills and performance.

By combining domain, organizational and industry skills with self-serve analytical tools, the Analytics Translator can help the enterprise to achieve low total cost of ownership (TCO) and rapid return on investment (ROI) for its business intelligence and advanced analytics initiatives and can encourage and nurture data democratization and optimal analytical business results within the organization.

Citizen Data Scientists/Citizen Analysts play a crucial role in day-to-day analysis and decision-making, using self-serve business intelligence tools. Analytics Translators bridge the gap between IT, data scientists and business users, and move initiatives forward by acting as a liaison and topic expert to help the organization focus on the right things to achieve its goals.

As self-serve Advanced Analytics and data democratization becomes more common across industries and organizations, the role of the Analytics Translator will also become more important. As a power-user of BI tools and Self-Serve Analytics, the translator functions as a liaison between critical analytical and technical resources and the business user community and ensures that BI tools will be adopted and shared across the enterprise.

In our next article, we will consider the difference between the Analytics Translator and the Citizen Data Scientist or Citizen Analyst.

Original Post: What is an Analytics Translator and Why is the Role Important to Your Organization?

]]>
https://www.elegantjbi.com/blog/what-is-an-analytics-translator-and-why-is-the-role-important-to-your-organization.htm/feed/ 0
BI Tools for Supply Chain Management https://www.elegantjbi.com/blog/business-intelligence-for-supply-chain-management.htm https://www.elegantjbi.com/blog/business-intelligence-for-supply-chain-management.htm#comments Fri, 09 Feb 2018 11:48:27 +0000 https://www.elegantjbi.com/blog/?p=5232 Continued]]> Business Intelligence for Supply Chain ManagementHow Can Business Intelligence for Supply Chain Management Help Your Business?

Gathering and analyzing Business Intelligence should not be difficult and it should not be generic. Dashboards should not be restrictive and business users should be able to get what they need, when they need it to make good business decisions and accurately plan. When it comes to the Supply Chain function and industry, business intelligence is more important than ever today.

If a business can cut through the months and years of customization and planning to achieve a robust business intelligence foundation that provides rapid return on investment (ROI) with low Total Cost of Ownership (TCO), it can get the best from its business intelligence and be competitive and successful. The ideal solution provides tools and features that support Business Intelligence for Supply Chain Management and are flexible enough to allow the business to meet its own unique business requirements.

Dashboards for Supply Chain Management should provide a comprehensive, out-of-the-box domain and industry focus that includes KPI for supply chain management, and a reporting tool for supply chain management. With these tools, business users can adopt and use business intelligence right away with minimal training and be empowered to find solutions to problems and see patterns and trends and test hypotheses to meet future market and business needs.

As organizations grapple with the expense, importance and value hidden along the steps in the supply chain, most enterprises depend on supply chain reporting and enterprise analyses to establish goals and metrics, and monitor results – all in an effort to control costs, optimize resources and ensure customer and partner satisfaction.

Business Intelligence Software provides the supply chain manager and other teams and individuals engaged in aspects of the supply chain the ability to create reports and personalized dashboards and alerts to establish objective goals and KPI for Supply Chain Management and monitor shipment systems and other enterprise applications using an integrated, single view of data.

If you want to explore the benefits of out-of-the-box BI Tool for Supply Chain Management, Contact Us today.

]]>
https://www.elegantjbi.com/blog/business-intelligence-for-supply-chain-management.htm/feed/ 0
Is Smart Data Visualization Really Smart? https://www.elegantjbi.com/blog/what-makes-smart-data-visualization-different.htm https://www.elegantjbi.com/blog/what-makes-smart-data-visualization-different.htm#comments Fri, 09 Feb 2018 09:42:36 +0000 https://www.elegantjbi.com/blog/?p=5229 Continued]]> What Makes Smart Data Visualization Different?What’s So Great About Smart Data Visualization?

Exactly what is smart data visualization? Are we now dependent on a computer or a piece of software to decide how we see our data? Have we lost control of our reporting, data sharing and data views? The answer to those questions: a resounding ‘NO’. To understand smart visualization, let’s consider the old, traditional data visualization tools. Traditional data visualization is static and, while it may offer a choice of graphs and displays, it is not interactive. In other words, it is not smart. In the traditional scenario, visual illustrations, graphs, and displays are not useful. They don’t help business users to analyze and understand data or, more importantly, to choose the right method to display and report data for decision-making. The right view of data can make all the difference!

Great Software for Data Visualization allows users to gather various data components and tell a story. Whether you are preparing a presentation or sharing data with a team, the story you tell can illustrate a problem, highlight an opportunity or demonstrate a market shift. Augmented data discovery happens when data visualization tools reveal those all-important nuggets of information and make it easier for business users to reach confident decisions.

Your users must be able to interact with Data Visualization Software using guided visualization and recommended data presentation to illustrate underlying data and issues, and quickly, and efficiently produce the best possible visualization based on data type, volume, dimensions, patterns and nature of data, without technical skills or in-depth training.

Let your users leverage tools that recommend displays, views, and plotting to explore the best possible value from underlying data with better options, formats and views to help them understand data. Users can identify patterns and trends and get valuable insight.

Smart Data Visualization allows your users to visualize and plot for certain types of data, based on the nature, dimensions, and trends inherent in the data, with sophisticated tools in an easy-to-use, drag and drop interface, and NO advanced skill requirement.

If you want your business users to be empowered with tools that will make them more of an asset to the organization, take the Smarten approach with Smart Data Visualization, Contact us and discover the possibilities.

]]>
https://www.elegantjbi.com/blog/what-makes-smart-data-visualization-different.htm/feed/ 0
Business Intelligence for Project Management https://www.elegantjbi.com/blog/bi-for-project-management-provides-clarity-and-results.htm https://www.elegantjbi.com/blog/bi-for-project-management-provides-clarity-and-results.htm#comments Tue, 06 Feb 2018 14:15:45 +0000 https://www.elegantjbi.com/blog/?p=5226 Continued]]> BI for Project Management Provides Clarity and ResultsAnalytics for Project Management: Metrics, Clarity and Results!

Every organization manages projects – some are big and some are small and some are the lifeblood of the enterprise. Even with an enterprise project management solution, consulting companies, internal project management teams and other businesses that provide project management services often fail to meet objectives. Your organization needs analytics for project management in order to establish goals and track milestones and project results, or the enterprise cannot learn from its mistakes, forecast resources, predict revenue or improve its competitive position in the market.

Business Intelligence for Project Management enables the project team and project manager to manage milestones and project timelines at the individual project level and across projects so that resource allocation, equipment, reporting and other project factors are optimized. Aggregation of project information enables the team to manage multiple projects for one client or many clients and to drill down to information for an activity, task or individual team member. Project managers can share information, slice and dice, drill down with KPI for Project Management templates to determine the cause of a problem, establish strategy, and evaluate tactical and operational results at a summary level and at a detailed level for an individual task or contributor.

BI for Project Management should provide a flexible, browser-based tool that is accessible from within the enterprise and on the road. Implementation must be fast and simple and training requirements should be minimal – even for the average business user! The right dashboards for project management should be easy to personalize and flexible to view integrated data with an intuitive flexible display that can be personalized to every business user to create a unified view of performance and results.

If you want to explore the benefits of Business Intelligence for Project Management, Contact Us today.

]]>
https://www.elegantjbi.com/blog/bi-for-project-management-provides-clarity-and-results.htm/feed/ 0
Explore the Potential of Self-Serve Analytics https://www.elegantjbi.com/blog/advanced-data-discovery-is-easier-and-more-popular-than-ever.htm https://www.elegantjbi.com/blog/advanced-data-discovery-is-easier-and-more-popular-than-ever.htm#comments Mon, 05 Feb 2018 14:18:32 +0000 https://www.elegantjbi.com/blog/?p=5223 Continued]]> Advanced Data Discovery Is Easier and More Popular Than EverSelf-Serve Advanced Analytics is Moving and Growing and Changing!

The Gartner Magic Quadrant is a well-known report and tool both for vendors and for prospective customers. The Gartner Business Intelligence Magic Quadrant offers in-depth analysis of the current market and predictions of where the market is going. There is no doubt that the Business Intelligence market has moved toward Advanced Data Discovery tools and self-serve tools like Self-Serve Data Preparation, and Plug n’ Play Predictive Analysis.

The key to serving this ever-expanding market is to provide tools that are suitable for every business user so that every organization can encourage and sustain and environment where business users can become Citizen Data Scientists. There are important innovations taking place in the self-serve business intelligence market and the evolution of this market is very encouraging and, as business users and organizations embrace these tools, the scope of user creativity has expanded data popularity and resulted in the expansion of social BI.

The Gartner Magic Quadrant for BI and Analytics reflects the changing market and the continuation business user empowerment with Self-Serve Deep Dive Analytics. A user-centric, self-serve approach to business intelligence must also be designed to expand the boundaries of self-serve analytics while ensuring appropriate data governance and security.

To better understand the profound changes in this market and the potential for your organization and business users, it is important to work with an expert team that can help you to achieve your goals and plan for future growth. If you want to dive in and take advantage of the benefits of self-serve solutions, explore the Smarten approach with Data Visualization Tools for Augmented Data Discovery and clear, insightful data visualization.

Contact Us and find out more about the ever-expanding world of self-serve analytics.

]]>
https://www.elegantjbi.com/blog/advanced-data-discovery-is-easier-and-more-popular-than-ever.htm/feed/ 0
Analytics for Sales Force: A Real Benefit to Your Team https://www.elegantjbi.com/blog/bi-for-sales-team-management-can-change-your-fortune.htm https://www.elegantjbi.com/blog/bi-for-sales-team-management-can-change-your-fortune.htm#comments Fri, 02 Feb 2018 12:01:46 +0000 https://www.elegantjbi.com/blog/?p=5219 Continued]]> BI for Sales Team Management Can Change Your FortuneBI for Sales Force is the Way to Understand and Achieve Results!

Whether you are a Sales Manager or an executive, you really need to understand the impact of sales efforts for every product, every division and every location. There is no way to achieve consistent sales results without up-to-date, accurate information. Analytics for sales force allows Sales Directors and Sales Managers to use data to monitor goals and objectives. Dashboards for sales teams allow you to monitor enterprise sales results at the international, national, regional, local, team, and individual level! With a reporting tool for sales teams, you can manage incentives and set targets and provide accurate sales forecasts and predictions to ensure that the enterprise consistently meets its goals and can depend on the predicted revenue and profits for investment, new product development, market expansion and resource acquisition.

BI for Sales Force provides true, meaningful information by integrating the data from enterprise systems and presenting a single, unified view of results. This view can be customized to meet the needs of a sales manager, a team leader or an individual sales professional – so everyone will have the information they need to manage their role and be accountable for objectives and goals. You can slice and dice data, summarize results and drill down, drill through and analyze information to discover the source of a problem. If a sales region fails to meet the established plan, you can quickly ascertain the root cause of the issue, whether it is product dissatisfaction, poor sales performance, or any one of a number of other sources.

Since the demand generated by your sales force directly affects the production cycle and plan, you will also want to monitor sales targets and objectives with product capacity and production using KPI for Sales Force, so your sales team can satisfy the customer without shortfalls or back orders. If some customers are behind on product payments, you can identify the source of the issue and address that issue with KPI for Sales, before it results in declined revenue and results.

If BI for Sales Team Management sounds like just what you need to get your hands around your sales results, Contact Us to get started.

]]>
https://www.elegantjbi.com/blog/bi-for-sales-team-management-can-change-your-fortune.htm/feed/ 0
Smart Data Visualization Makes Users Smarter https://www.elegantjbi.com/blog/your-users-will-love-smart-data-visualization-tools.htm https://www.elegantjbi.com/blog/your-users-will-love-smart-data-visualization-tools.htm#comments Tue, 30 Jan 2018 13:43:13 +0000 https://www.elegantjbi.com/blog/?p=5216 Continued]]> Your Users Will Love Smart Data Visualization ToolsSmart Data Visualization Guides Users to Clear Data in the Right View!

Imagine if your advanced data discovery tool could take the guesswork out of data preparation and visualization and allow your business users to see past the obvious to find the true insight and subtle patterns, trends and data that will help your business to achieve success. Features like smart data visualization make it easy to see what is happening, where the source of a problem lies and what market opportunities may be ripe for the taking.

The right Data Visualization Tool incorporates cutting-edge technology on the backend, and an understanding of the user experience on the front end, so your business users get a helping hand and are guided with suggestions and recommendations to tell them how best to view their data and to personalize data displays.

Smart Visualization and Data Visualization Software makes it possible for business users to respond to ever-changing needs and alleviates the problem of the organization trying to anticipate exactly what every user needs on a daily basis.

With tools like Auto-Recommend and Auto Suggest the user can view recommended displays, views, and plotting and find the best way to view and use the data to share information and to make crucial, confident decisions. They can see options, formats and alternate views and make choices without the assistance of a technical team member or a data scientist.

If your users need sophisticated tools in an easy-to-use environment, you will want to explore the Smarten Approach with Smart Data Visualization tools for augmented data discovery and clear, insightful data visualization.

Contact us and discover the possibilities for your business users and your organization.

]]>
https://www.elegantjbi.com/blog/your-users-will-love-smart-data-visualization-tools.htm/feed/ 0
What is Clickless Analysis? Can it Simplify Adoption of Augmented Analytics? (Part 1 of 3 articles) https://www.elegantjbi.com/blog/what-is-clickless-analysis-can-it-simplify-adoption-of-augmented-analytics.htm https://www.elegantjbi.com/blog/what-is-clickless-analysis-can-it-simplify-adoption-of-augmented-analytics.htm#comments Thu, 25 Jan 2018 11:44:13 +0000 https://www.elegantjbi.com/blog/?p=5213 Continued]]> What is Clickless Analysis? Can it Simplify Adoption of Augmented Analytics? (Part 1 of 3 articles)The concept of Clickless Analytics is one that will be happily embraced by business users and by the business enterprise. The reason is simple! Clickless Analytics allows users to find and analyze information without specialized skills, by using natural language.

In this, the first of a three-part series we discuss Clickless Analytics and how it can simplify user adoption of augmented analytics.

What is Clickless Analytics?

Clickless Analytics incorporates Natural Language Processing (NLP) and takes augmented analytics to the next level with machine learning and NLP in a self-serve environment that is easy enough for every business user. Business users can leverage sophisticated business intelligence tools to perform advanced data discovery by asking questions using natural language. The system will translate that search analytics language query into a query that the analytics platform can interpret, and return the most appropriate answer in an appropriate form such as visualization, tables, numbers or descriptions in simple human language. Clickless Analytics interprets natural language queries and presents results through smart visualization and contextual information delivered in natural language.

Can Clickless Analytics Simplify Adoption of Augmented Analytics?

Clickless analytics, NLP and search analytics provides true data democratization of advanced analytics. Clickless Analytics incorporates NLP within a suite of Augmented Analytics features, leveraging computational linguistics, data mining, and analytical algorithms to provide a self-serve, natural language approach to data analysis. Search Analytics and NLP filters through mountains of data to answer a question in the way a user can understand, thereby simplifying and speeding the decision process and ensuring clarity.

Clickless Analytics suggests relationships and offers insight to previously hidden information so that business users can ‘discover’ subtle, crucial business results, patterns, problems and opportunities. Clickless Analytics provides maximum results and business user access with minimum implementation time and minimal training.

Clickless Analytics and an NLP approach to augmented analytics utilizes a Google-type interface where business users can enter a question in human language, i.e., ‘what is our best selling product in Arizona’ or ‘who is the best performing salesperson in this year as compared to previous year.’ The ease-of-use assures user adoption and the clarity of analysis and reporting achieved by the enterprise results in an environment where the team, managers and executives can achieve rapid, accurate results without the assistance of IT or business analysts.

The evolution of search analytics and the application of NLP search within the confines of a business intelligence solution have allowed the average organization to leap forward with advanced data discovery and the incorporation of these crucial tools into a self-serve environment for user empowerment and accountability. Clickless Analytics and NLP help businesses to achieve rapid ROI and sustain low total cost of ownership (TCO) with meaningful tools that are easy to understand, and as familiar as a Google search. These tools require very little training, and provide interactive tools that ‘speak the language’ of the user.

Clickless Analytics, NLP and Search Analytics are a crucial component of business intelligence and Augmented Analytics, and are essential to business success and to building and sustaining a competitive advantage.

Watch for Part II and Part III of this article series: ‘What is Search Analytics and Can it Improve Self-Serve Data Discovery?’ and ‘What is Natural Language Processing & How Does it Benefit a Business?’

Original Post: What is Clickless Analysis? Can it Simplify Adoption of Augmented Analytics? (Part 1 of 3 articles)

]]>
https://www.elegantjbi.com/blog/what-is-clickless-analysis-can-it-simplify-adoption-of-augmented-analytics.htm/feed/ 0
Measure Social Media and Internet Marketing Results https://www.elegantjbi.com/blog/you-need-bi-for-social-media-and-internet-marketing.htm https://www.elegantjbi.com/blog/you-need-bi-for-social-media-and-internet-marketing.htm#comments Tue, 16 Jan 2018 11:24:46 +0000 https://www.elegantjbi.com/blog/?p=5208 Continued]]> You Need BI for Social Media and Internet MarketingUse BI for Social Media and Internet Marketing to Understand and Measure Results!

Nearly every organization is using social media to promote its products and services and to establish and sustain relationships with prospects and customers. But, how do you know whether your social media outreach and your internet marketing campaigns are working?

Senior management teams and shareholders do not take kindly to guess work or to subjective opinions about business success or applied techniques. If you want objective metrics and tools to help you solve problems, address challenges and capitalize on opportunities, you will want to employ KPT for social media, and implement and leverage a reporting tool for internet marketing. BI for Social Media and Internet Marketing provides valuable analytics that will help you and your team to understand the impact of your social media and internet marketing campaigns and to employ deep dive analytics to drill down and through data and find the root cause of problems.

In order to understand the success of social media marketing, and the trends and patterns in customer buying behavior, a business can use a business intelligence solution to interpret the activity feeds from various social media networks and analytics engines, and analyze visits, clicks, conversions, likes, shares, tags, timing and, also the underlying demographics and geographies of the participants. This analysis will help the business to understand the popularity of a topic or product, and the demographics and geographies of the potential audience, and to track various activities and campaigns to goal conversions.

Most of this data is structured, and can be analyzed by exporting or integrating social media and analytics engines using BI tools, and performing various analytical operations and visualizations with slice and dice, drill down, drill through, filtering and other analytical operations. The content generated and written by users on various social media platforms is not structured, and to access and analyze this data, a business must apply semantic analytics to derive quantifiable data from these unstructured data and make confident decisions. To achieve a true picture of the business and its customers the enterprise must combine structured and non-structured data to derive overall snapshots, direction, trends and performance of social media and internet marketing campaigns.

If you are ready to take control of your Social Media and Internet Marketing, Contact us to find out how we can help!

]]>
https://www.elegantjbi.com/blog/you-need-bi-for-social-media-and-internet-marketing.htm/feed/ 0
Mobile BI: Designed for EVERY Device https://www.elegantjbi.com/blog/2018/01/16/january-16-2018/design-once-use-anywhere.htm https://www.elegantjbi.com/blog/2018/01/16/january-16-2018/design-once-use-anywhere.htm#comments Tue, 16 Jan 2018 06:18:09 +0000 https://www.elegantjbi.com/blog/?p=5205 Continued]]> Design it Right, Design it Once: Great Mobile BI ToolsMobile BI That is Designed for Every Device, Every user, Every Environment!

Design is important! Design skills are used in many industries; everything from appliances and cars to clothing and software interface design. The overall design, the layout, the detail…it is all important. People want to use products that work in many environments. Think about it! It wouldn’t make sense to design a car that was suitable only for people with short legs!

Yet, when it comes to business intelligence solutions, technology vendors sometimes make that mistake. A BI tool might work well on a desktop or a tablet but the interface might not be suitable for a mobile environment or for all the various sizes of smart phone screens, dimensions and resolutions. In today’s crazy, mobile business world, your business can’t afford to use a solution that isn’t accessible to all users on every device.

You need an out-of-the-box solution that doesn’t dictate the device, the screen size or the setting in which you access your critical business intelligence data. You need a solution that is based on a ‘Design Once, Use Anywhere’ approach, so it is responsive, and provides an intelligent adaptive UI to-use on any device, any screen size, at any time and in any place with seamless performance.

You want a high-performance Mobile BI Tool that will work on any size or type of device to provide access to data in an interactive, personalized view and enable data sharing, identification of trends and patterns and user empowerment and accountability.

If this sounds good to you, let me point you in the right direction. Design Once, Use Anywhere

]]>
https://www.elegantjbi.com/blog/2018/01/16/january-16-2018/design-once-use-anywhere.htm/feed/ 0
What is Augmented Data Discovery? https://www.elegantjbi.com/blog/2018/01/15/january-15-2018/augmented-data-discovery.htm https://www.elegantjbi.com/blog/2018/01/15/january-15-2018/augmented-data-discovery.htm#comments Mon, 15 Jan 2018 11:47:04 +0000 https://www.elegantjbi.com/blog/?p=5202 Continued]]> Augmented Data Discovery Supports Every UserWondering if Augmented Data Discovery is for You? Wonder No More!

If you have heard of Augmented Data Discovery (aka Smart Data Discovery), but you don’t quite understand what it is and its value to average business, then we really need to talk!

Augmented Data Discovery allows your business to go beyond data monitoring and helps users discover the more subtle yet crucial factors that affect business success. It identifies hidden issues and patterns within the data so the organization can address challenges, capitalize on competitive and market advantages and plan for the future with more confidence. A well-conceived augmented data discovery solution includes tools and features that are simple enough for business users and allow users with average skills to perform augmented data preparation, drawing data from various repositories to test theories and hypotheses without the assistance of IT or analysts to prepare the data.

Augmented Data Discovery also includes augmented analytical tools that provide data insight. With an advanced augmented data discovery solution, the organization can share, manipulate and present data with clear results and access to sophisticated tools. These tools ensure that the organization makes decisions based on fact rather than opinion and that users get real insight and can act on data quickly and accurately.

With Augmented Data Discovery, the organization can notate and highlight data, share data with other users and most importantly, the enterprise can identify critical ‘ah hah’ data points and information hidden within the data to accurately plan, forecast and solve problems.

Augmented Data Discovery (Advanced Data Discovery) enables gathering, preparation, integration and analysis of data and allows users to address strategic, operational and tactical activities. These easy-to-use tools and solutions provide important support, suggesting relationships, identifying patterns, suggesting visualization techniques and formats, highlighting trends and patterns and helping users and organizations to forecast and predict results.

With augmented data discovery, the enterprise has a simple way to manage data overload and overwhelming workload, and to provide important information and answers to every team member with sophisticated tools in an easy-to-use, drag and drop interface, which requires no advanced skill or knowledge of statistical analysis, algorithms or techniques.

When you understand the value proposition inherent in these tools and the way this type of solution supports business users with sophisticated, easy-to-use tools, it becomes clear just how important this type of analytical tool is to your business. If you want to take advantage of augmented data discovery tools, you can start here: Augmented Data Discovery Tools

]]>
https://www.elegantjbi.com/blog/2018/01/15/january-15-2018/augmented-data-discovery.htm/feed/ 0
Self-Serve Data Prep Puts the Power in Hands of Your Users https://www.elegantjbi.com/blog/augmented-data-preparation-is-in-your-future.htm https://www.elegantjbi.com/blog/augmented-data-preparation-is-in-your-future.htm#comments Thu, 11 Jan 2018 13:46:25 +0000 https://www.elegantjbi.com/blog/?p=5198 Continued]]> Augmented Data Preparation is in Your Future!Self-Serve Data Preparation is Easy as Pie!

Data preparation tools come in many shapes and sizes and not all are equal. If your business is interested in implementing a self-serve environment where its business users can become a greater asset to the organization, and use data preparation for analytics, you definitely need to consider ease-of-use for your users and flexibility, sophisticated functionality and mobile accessibility for the good of the organization.

When you adopt the right self-serve BI tools, your users can enjoy elegant Self-Serve Data Preparation and ETL for business users. ETL (AKA extraction, transformation and loading) solutions assist the average user and make the process of gathering, compiling, sorting and managing data a much easier task. These self-serve tools allow your business users to engage in ETL without the assistance of IT staff or a data analyst, so that they can see, use and share data more quickly and easily, and understand what that data is illustrating and what decision is best for the organization.

Augmented Data Preparation provides access to crucial data and allows you to connect to various data sources – personal, external, cloud, and IT provisioned You can mash-up and integrate data from disparate data sources and view it in a uniform, interactive display. Your users have access to clear data and your organization can balance agility with data governance to ensure that data security and data access are appropriate and well managed.

Take the Smarten Approach to Self-Serve Data Prep and see how easy data preparation software can be.

Contact us and find out how you can reap the benefits of these tools.

]]>
https://www.elegantjbi.com/blog/augmented-data-preparation-is-in-your-future.htm/feed/ 0
Self-Serve Data Preparation Doesn’t Mean Traditional ETL is Dead! https://www.elegantjbi.com/blog/self-serve-data-preparation-does-not-mean-traditional-etl-is-dead.htm https://www.elegantjbi.com/blog/self-serve-data-preparation-does-not-mean-traditional-etl-is-dead.htm#comments Thu, 04 Jan 2018 09:42:26 +0000 https://www.elegantjbi.com/blog/?p=5195 Continued]]> Self-Serve Data Preparation Doesn't Mean Traditional ETL is Dead!Extract, Transform and Load (ETL) refers to a process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting. It offers high quality data, which otherwise resides in poorly structured heterogeneous, complicated data sources.

Think of your data warehouse as an active repository that is ever changing as new data sources keep on getting added and existing data sources keep on getting updated. In order to manage the environment, an organization must dedicate resources to monitor and track ETL process, its data flow, data integration and data updates.

It is no wonder that the average enterprise is cautious when any suggestion is made to change the process they have in place. So, the idea of data access by business users may cause concern, and the IT staff may wonder whether this access signals the end of the true ETL process along with the comprehensive maintenance and data governance policies.

But, before the organization discounts the democratization of data and the concept of Self-Serve Data Preparation, it is important to understand the need for (and benefits of) comprehensive ETL policies and maintenance AND the flexibility, agility and accessibility provided by business user access to self-serve data preparation tools.

When an enterprise provides a solid ETL foundation with appropriate monitoring, management, integration processes and skills and adds the flexibility of self-serve data preparation for business users, the organization can acquire good data quickly and offer insight to business users and ultimately to the entire business organization. This approach ensures that the users and the organization can make better business decisions, and make them more quickly. By combining traditional ETL, data warehouse management and technical skills with self-serve data preparation and business user access to ETL and cube management, your organization can balance and optimize quality vs agility to create an agile analytical environment.

Let’s look at the benefits of, and the need for, traditional ETL as well as self-serve data preparation performed by business users.

Give the Power to Business Users

When an organization invests in a business intelligence solution that provides flexible options for data access and management, users can choose the option that is best for a use case scenario. They can use self-serve data preparation tools to connect to data sources like databases, OLAP cubes and spreadsheets using simple wizard based connection interface.

Today’s business users and managers face the daunting task of compiling and analyzing data simply and easily and using that data to make confident decisions. Users need a scalable, high-performance solution that can integrate data from data warehouses, data marts, ERP, best-of-breed applications, CRM and any number of operational system databases, spreadsheets, cloud based data sources and legacy systems and leverage Deep Dive Analytics and self-serve data preparation to compile and analyze data quickly and easily.

The key focus in this scenario is agility. When business users need information they don’t always need exacting, detailed data extraction and analysis. Many times, they are testing a hypothesis or creating a prototype to analyze options or to see how things will play out in a particular set of circumstances, and in those cases, 100% accuracy of data is not necessary. By providing access to data and simple data preparation tools, the organization can keep things moving and allow for empowerment and creativity.

Preserving Traditional ETL

Data Extraction, Data Transformation and Data Management solution provides the foundation for an enterprise to extract, load and transform (ETL) data. While it is important to provide business users with access to sophisticated, easy-to-use tools, the foundational work of ETL must be preserved.

If the integrity of enterprise data and data integration is to be preserved, the data warehouse environment must integrate, and consolidate data from a disparate group of systems and allow for data extraction and compilation across the enterprise. Highly skilled, trained professionals manage these systems with a thorough understanding of the source of the data and how to manipulate and report on that data to create complex reports and provide support for business users and managers.

When combined with in-depth IT and analytical knowledge, this complex data environment and resource pool provides crucial support to refine and cleanse data and to ensure that only the necessary data is extracted and analyzed so that critical resources are not wasted and data is not misinterpreted. There are times when an organization must look to these foundational processes and team members to clarify data and to ensure that hardware, networks, and data sources come together to optimize extraction and reporting and assure appropriate interpretation.

Traditional ETL performed by experts produces great data quality at the right level of aggregation to ensure stable performance and integrity of data governance. Because these tasks are performed by IT certified professionals, the organization can be sure of the reliability and quality of the data. But these resources should be optimized to optimize the special skill set and knowledge of these team members and to prevent competing priorities, and delays in crucial data analysis and timeliness.

By combining the traditional ETL processes and skills with business user access to self-serve data preparation tools, your organization can optimize skilled resources and move quickly to addresses opportunities, challenges and trends.

When the organization needs very precise, comprehensive ETL, your trained team can provide those services. When a business user requires information, but does NOT require exacting precision, self-serve data preparation tools can speed decisions and empower users to analyze data for day-to-day tasks and discussions.

The rationale for any organizational or process change is always the bottom line. When you balance self-serve data preparation with traditional ETL processes and skills, you get the best of both worlds and improve resource optimization and the bottom line. By balancing speed and agility with quality and data governance, the organization can save its skilled resources for the most important projects and business users can prepare and analyze data for those projects and decisions that do not require high-level, dedicated attention.

Original Post: Self-Serve Data Preparation Doesn’t Mean Traditional ETL is Dead!

]]>
https://www.elegantjbi.com/blog/self-serve-data-preparation-does-not-mean-traditional-etl-is-dead.htm/feed/ 0
Deep Dive Analytics Doesn’t Have to be Scary! https://www.elegantjbi.com/blog/deep-dive-analytics-makes-the-plunge-exciting.htm https://www.elegantjbi.com/blog/deep-dive-analytics-makes-the-plunge-exciting.htm#comments Wed, 27 Dec 2017 12:24:02 +0000 https://www.elegantjbi.com/blog/?p=5191 Continued]]> Deep Dive Analytics Makes the Plunge Exciting!Are You Ready to Take the Plunge? Deep Dive Analytics Is the Treasure!

Some organizations find it difficult to manage data and to take advantage of business intelligence tools. Integrating data sources is necessary, of course, but once the data is integrated, business users, IT staff, data analysts and senior executives must make sense of the data.

If a business is going to make the best use of BI Analytics, it must produce clear, understandable reports that reveal trends and patterns and point to the source of challenges and to market opportunities. Let’s say that you want to find out why a particular branch is not performing. Expense, sales, salaries, customer analytics, profitability, and their combination will be needed for answers, but this is an impossible task in a preconfigured dashboard that provides only simple filtering, drill down and drill up, and similar operations.

What you need is the ability to dive deep into your data! Deep Dive Analytics lets you ask difficult questions and solve complex problems. You can use ad hoc analysis with a large range of data operations to explore and discover value from your data. Deep Dive analytics tools make a visible impact for decision-making, which is a critical need for any manager.

Business users can analyze data for any time period and compare ad hoc time periods. There are no limits on how you use date and time. Deep Dive analytics software allows you to make cross tabs with filters and data operations, allowing you to ask any questions on the fly to make decisions.

If you are ready to take the plunge, you can Deep Dive Into Data and Contact us to find out how we can help!

]]>
https://www.elegantjbi.com/blog/deep-dive-analytics-makes-the-plunge-exciting.htm/feed/ 0
Are You Ready for Simpler, Smarter Data Discovery? https://www.elegantjbi.com/blog/augmented-data-discovery-is-simpler-than-it-sounds.htm https://www.elegantjbi.com/blog/augmented-data-discovery-is-simpler-than-it-sounds.htm#comments Mon, 18 Dec 2017 13:26:54 +0000 https://www.elegantjbi.com/blog/?p=5178 Continued]]> Augmented Data Discovery Is Simpler Than it SoundsAdvanced Data Discovery for Every Business User. No Special Skills Required!

There are many facets to Advanced Data Discovery. The processes are sophisticated and the algorithms are exacting, but your business users need not worry about those things. To make the best use of augmented data discovery tools, you need to implement an advanced analytics solution that gives your team sophisticated tools and true insight into data, with flexible, personalized dashboards, and reporting that are easy enough for the average user to adopt.

With tools like smart data discovery, self-serve data preparation, smart visualization and plug n’ play predictive analysis, the average user can answer questions, gain insight, address the root cause of challenges and capitalize on business opportunities  all without the assistance of IT staff or data scientists.

The right Augmented Data Discovery tool allows users to leverage a drag and drop interface, with no advanced skill requirement for statistical analysis, algorithms or technical knowledge, so they can gather, prepare, integrate and analyze data, find patterns and trends, share findings and apply to strategic, operational and tactical activities. With smart data discovery, your users can enjoy the benefits of a truly intelligent solution that suggests relationships, identifies patterns, suggests visualization techniques and formats, highlights trends and patterns, and presents predictions. These auto-suggestions and recommendations allow users to explore data and reveal subtle, important actors and considerations that will change the landscape of your business.

You can explore the Smarten BI Advanced Data Discovery and find out how to make your business users more productive, accountable and empowered.

Contact us and find out how easily and quickly your business can implement these tools in your organization.

]]>
https://www.elegantjbi.com/blog/augmented-data-discovery-is-simpler-than-it-sounds.htm/feed/ 0
Self-Serve BI Must Support Business Users https://www.elegantjbi.com/blog/self-serve-bi-tools-are-just-the-beginning.htm https://www.elegantjbi.com/blog/self-serve-bi-tools-are-just-the-beginning.htm#comments Fri, 15 Dec 2017 10:53:05 +0000 https://www.elegantjbi.com/blog/?p=5175 Continued]]> Self-Serve BI Tools Are Just the Beginning!Does Your Self-Serve BI Tool Provide Flexibility to Support Social BI?

Self-serve business intelligence tools are no longer new. Nearly every BI tool vendor has an offering in the market. But, not every business intelligence tool is equally useful.

To be truly ‘self-serve’ a Business Intelligence Dashboard must be flexible (not restrictive). It must allow for personalization, rather than being designed (and controlled) by the IT staff or data analysts. No team or individual within the organization can anticipate every business user need and, when business intelligence dashboards are designed to be static, rather than truly interactive, they shackle users and put obstacles in the way of true market and competitive advantage and true analytical insight.

So, while there are many Self-Serve BI Tools offerings out there, you can ReImagine Business Intelligence to give your business users the tools they need, with advanced data discovery, flexible BI reporting that is designed to allow users to create intuitive reports that are easy to share and will encourage social BI and all-important data popularity to enhance productivity and accountability across the enterprise.

If you want to satisfy your self-serve business intelligence requirements and inspire business users to adopt and leverage these tools to the benefit of the team and the organization, you can get started here: Business Intelligence Software

Contact us now and explore the possibilities!

]]>
https://www.elegantjbi.com/blog/self-serve-bi-tools-are-just-the-beginning.htm/feed/ 0
Predictive Analytics Can Guide the Organization to Success https://www.elegantjbi.com/blog/is-assisted-predictive-modeling-right-for-my-business.htm https://www.elegantjbi.com/blog/is-assisted-predictive-modeling-right-for-my-business.htm#comments Fri, 15 Dec 2017 09:04:40 +0000 https://www.elegantjbi.com/blog/?p=5172 Continued]]> Is Assisted Predictive Modeling Right for My Business?Plug n’ Play Predictive Analysis for Accurate Forecasting!

There are numerous considerations when a business looks at upgrading or acquiring an analytical solution. One very important capability is Put n’ Play predictive analysis. Assisted Predictive Modeling and predictive analysis tools should include sophisticated functionality in a simple environment that is easy for every business user.

Organizations should carefully review solutions to ensure that the prospective solution includes predictive algorithms (associative, decision trees, classification, clustering and other techniques) that will allow business users to explore hypothesis and assumptions using Advanced Data Discovery and provide recommendations to perform early prototyping, and drastically reduce the time and cost of analysis and experimentation.

Predictive Analytics is crucial to forecasting and predicting the future of its market, and a business operation, as well as market competition, and customer buying behavior. Plug n’ play predictive and forecasting tools allow an enterprise to transform business users into Citizen Data Scientists by enabling users with sophisticated predictive algorithms and allowing these users to leverage the tools without the expertise and skill of a trained data scientist.

When users are given dynamic, powerful tools, it is easier for them to achieve goals, share information, make confident decisions, understand trends and quickly adjust processes and activities to achieve the best results.

Explore the Smarten approach to plug n’ play predictive analytics and take the shackles off your business users.

Contact us and find out how easily and quickly your business can implement these tools in your organization.

]]>
https://www.elegantjbi.com/blog/is-assisted-predictive-modeling-right-for-my-business.htm/feed/ 0
You CAN Have Advanced Data Discovery and Mobile BI Tools https://www.elegantjbi.com/blog/mobile-bi-tools-must-include-advanced-analytics.htm https://www.elegantjbi.com/blog/mobile-bi-tools-must-include-advanced-analytics.htm#comments Wed, 13 Dec 2017 11:18:32 +0000 https://www.elegantjbi.com/blog/?p=5169 Continued]]> Mobile BI Tools Must Include Advanced AnalyticsMobile, Advanced Analytics: The True Way Forward!

When you decide to implement mobile business intelligence, it is usually because you want seamless access to crucial tools so that your team can perform important tasks in the office and on the road, and share data that will help them make important decisions. Mobile business intelligence must be easy to access and easy to use. A vendor should not dictate the device, the screen size or the setting in which you access your business intelligence data. The solution must be responsive and adaptive and the UI must be intuitive and interactive, no matter what device your users choose to use to access that solution.

In addition to providing seamless mobile performance, today’s business intelligence solutions should also enable advanced analytics, and predictive analytics.

These BI tools must support business users and the organization with personalized dashboards and reporting, elegant graphs and charts, and key performance indicators (KPIs) that display seamlessly on every type and size of device. Additionally, the solution must provide advanced analytics that are sophisticated enough to allow business users to see and use data with clear insight, yet simple enough to allow the average business user to take advantage of the BI tools.

Look for business intelligence that is truly mobile, and features responsive, adaptive UI performance to accommodate use in a desktop, tablet or smart phone environment, and provides augmented data discovery, self-serve data preparation, and predictive analytics for business users. In other words, make it mobile and make it meaningful!

If your business needs a competitive advantage, you can find it here: Mobile BI Tools and Advanced Analytics

Contact us now and find out how mobile BI tools and advanced analytics can advance your business success.

]]>
https://www.elegantjbi.com/blog/mobile-bi-tools-must-include-advanced-analytics.htm/feed/ 0
Uncover the Data ‘Nuggets’ with Smart Visualization https://www.elegantjbi.com/blog/full-insight-for-business-users-with-smart-visualization.htm https://www.elegantjbi.com/blog/full-insight-for-business-users-with-smart-visualization.htm#comments Wed, 13 Dec 2017 07:34:01 +0000 https://www.elegantjbi.com/blog/?p=5166 Continued]]> Full Insight for Business Users with Smart VisualizationSmart Data Visualization Helps Your Users to Gain Insight!

Organizations that are currently considering and upgrade or a new business intelligence solution, should focus on advanced analytics capability that is simple enough for its business users to improve accountability and empowerment and cascade information throughout the organization to improve planning, results and competitive advantage. Included in this solution is Smart Data Visualization. This feature suggests the best options for visualizing and plotting for a particular set or type of data, based on the nature, dimensions and trend of data. Tools like these can allow the average business user to leverage sophisticated tools without the knowledge and skill of an IT pro or a data scientist.

Smart visualization and augmented data discovery tools allow users to gather data from various sources clarify a problem, identify an opportunity or make a decision. To complete this type of analytics, the data visualization tool must be flexible and interactive enough to allow for guided visualization and recommend the data presentation technique that will best illustrate data, trends, patterns, challenges and opportunities.

Smart Visualization allows the enterprise and its users to select and display data in a way that assures accurate interpretation and assumes no technical skill or need for in-depth training. Smart Data Visualization allows your business users to analyze, share and present information without waiting for technical or data visualization expert assistance.

Take the Smarten approach to Smart Visualization. Contact us and find out how we can help your business and your users to leverage these dynamic, powerful tools with easy-to-use, cost-effective solutions that are quick to implement.

]]>
https://www.elegantjbi.com/blog/full-insight-for-business-users-with-smart-visualization.htm/feed/ 0
BI Tools for Hospitality and Entertainment Businesses https://www.elegantjbi.com/blog/hospitality-and-entertainment-pros-need-dynamic-bi-tools.htm https://www.elegantjbi.com/blog/hospitality-and-entertainment-pros-need-dynamic-bi-tools.htm#comments Mon, 11 Dec 2017 13:59:45 +0000 https://www.elegantjbi.com/blog/?p=5162 Continued]]> Hospitality and Entertainment Pros Need Dynamic BI ToolsAre There Specific BI Tools for Hospitality and Entertainment Businesses?

One thing we all know about the hospitality and entertainment industry is that it is very competitive and that consumers have a lot of options and choices. In this competitive market, it is more important than ever to have the data and information that will help you make business decisions about new products, new channels, custom behavior and local and global competition.

If you own, manage or work in the hospitality or entertainment industry, your team needs a means to gather and analyze data to identify trends and patterns and make strategic and operational decisions that will result in business success. BI for hospitality and entertainment should include out-of-the-box tools that are easy for business users and easy to implement and adopt. Dashboards for hospitality and analytics for entertainment industry needs should not require a lot of customization or the assistance of IT staff or data scientists. These industries do not have time to waste! Every member of these teams needs simple business intelligence and analytical tools that can be part of their daily process and activities.

Whether your business is a hotel, airline, pub, restaurant, travel agency, or entertainment complex, you have the same need for data. Analysis of current customer feedback and needs and the forecasting of trends are just two of the factors that drive your business. If you are to achieve excellence in customer satisfaction and optimize resources, investments, and performance, you need a simple way to view and analyze data and make confident decisions about facilities usage, supplies, schedules, resource allocation, training, hiring, sales, marketing campaigns, revenue, billing, demographics and customer profiles, competition and more!

If your business needs dynamic BI tools, look no further Business Intelligence for Hospitality and Entertainment.

Contact us to find out how your team can benefit from these tools and solutions.

]]>
https://www.elegantjbi.com/blog/hospitality-and-entertainment-pros-need-dynamic-bi-tools.htm/feed/ 0
Augmented Data Discovery Provides Users with Crucial Answers https://www.elegantjbi.com/blog/automated-analytics-tool-for-user-and-business-success.htm https://www.elegantjbi.com/blog/automated-analytics-tool-for-user-and-business-success.htm#comments Mon, 11 Dec 2017 12:53:48 +0000 https://www.elegantjbi.com/blog/?p=5158 Continued]]> Automated Analytics: A Tool for User AND Business SuccessAdvanced Data Discovery Can and Should Be Available to All!

Advanced Data Discovery allows business users to perform early prototyping and to test hypothesis without the skills of a data scientist. Advanced Data Discovery ensures data democratization and can drastically reduce the time and cost of analysis and experimentation.

With the right Data Discovery Software, business users have the freedom to imagine and leverage data without limiting the user’s ability to analyze and visualize data with restricted views and dashboards.

The concept of advance analytics and advanced data discovery can and should include augmented analytics and augmented data discovery. These tools are designed to simplify the user experience by providing easy-to-use guides and sophisticated (yet simple) tools that will lead the user to use the right technique for analysis and to present the data they are analyzing in the right format to make the results as clear as possible.

Advanced Data Discovery allows business users to quickly and easily prepare and analyze data and to visualize and explore data, notate and highlight data and share data with others. Business users can use Advanced Data Discovery to identify the important ‘nuggets’, buried in traditional data, and to connect the dots, find exceptions, identify patterns and trends and better predict results. A business user with average skills can do all of this without specialized skills, knowledge of statistical analysis or support from IT or professional data scientists.

The Smarten approach to advanced data discovery can help your organization and business users with simple tools that are cost-effective and easy to implement and use.

Contact us and find out how easily and quickly you can satisfy your analytical needs.

]]>
https://www.elegantjbi.com/blog/automated-analytics-tool-for-user-and-business-success.htm/feed/ 0
What is Self-Serve Data Preparation and How Can It Support Business Users? https://www.elegantjbi.com/blog/what-is-self-serve-data-preparation-and-how-can-it-support-business-users.htm https://www.elegantjbi.com/blog/what-is-self-serve-data-preparation-and-how-can-it-support-business-users.htm#comments Fri, 08 Dec 2017 06:19:36 +0000 https://www.elegantjbi.com/blog/?p=5154 Continued]]> What is Self-Serve Data Preparation and How Can It Support Business Users?Self-Serve Data Preparation is the next generation of business analytics and business intelligence. Self-serve data preparation makes advanced data discovery accessible to team members and business users no matter their skills or technical knowledge.

What is Self-Serve Data Preparation?

In the past, preparing data for analysis was a time-consuming process, a task that was relegated to the IT team and involved complex tasks like Data Extraction, Transformation and Loading (ETL), access to data warehouses and data marts and lots of complicated massaging and manipulation of data across other data sources. Today’s organization does not have the time or the money to provide IT resources or to satisfy the day-to-day data inquiry requirements of its ever-changing organization and its business market.

Enter Self-Serve Data Preparation, a set of sophisticated tools, designed for ease-of-use and access by business users in a self-serve environment. Self-Serve Data Prep provides business users with powerful capabilities to explore, manipulate and merge new data sources – all without the assistance of IT staff.

Self-service data preparation solutions make it possible for business users to access data, integrated from multiple sources and to prepare that data using drag and drop features and a simple, intuitive interface. Users can perform data preparation, test theories and hypotheses, and prototype to test price points, analyze changes in consumer buying behavior, anticipate changes in the competitive landscape and otherwise leverage data for analytical purposes, all without the assistance of IT or analysts.

Self-Serve Data Preparation solutions provide tools that are flexible so the user is not restricted to dashboards or interfaces that are designed by someone else. The user can use the power of self-serve data preparation to compile and prepare data, test hypotheses, visualize and share data, drill-down and drill-through data using selected data elements to prepare for and execute analysis.

How Can Self-Serve Data Preparation Support Business Users?

The best way to support business users is to give them tools that are flexible enough to be personalized to their needs, their role and the issues of the day. No matter how hard IT teams and analysts try, they cannot anticipate every possible requirement and the new, rapidly changing business landscape of today makes it impossible for business users to know what they will need tomorrow.

A May 24, 2016 Gartner report (ID G00274731) , entitled ‘Embrace Self-Service Data Preparation Tools for Agility, but Govern to Avoid Data Chaos’, offers the prediction that, ‘By 2017, most business users and analysts in organizations will have access to self-service tools to prepare data for analysis.’

As the market shifts and more and more organizations adopt these crucial tools, it must be noted that, those businesses that do not take advantage of self-serve data preparation are likely to fall behind the competition and the market.

With Self-Serve Data Preparation tools business users can gain insight into buying behavior, analyze supply chain issues, identify new markets, locations and opportunities and anticipate resource and training needs using selected data to easily illustrate results and uncover patterns and trends.

With self-serve data prep, business users can avoid the delays and out-of-date, inaccurate reports that sometimes result from incomplete requests or overworked IT teams. The business users gets access to data from numerous data sources and can easily select data, execute searches and analyze data to make timely, accurate decisions. The organization achieves impressive ROI and TCO, and better business results, and the business user is empowered to get the job done right.

Supporting business users with powerful tools that are meaningful to their role and goals is critical to every organization. Self-Serve Data Preparation takes the complexity out of the data prep and analytical process and results in better data discovery.

Original Post: What is Self-Serve Data Preparation and How Can It Support Business Users?

]]>
https://www.elegantjbi.com/blog/what-is-self-serve-data-preparation-and-how-can-it-support-business-users.htm/feed/ 0
Business Intelligence for Retail Provides Real Results https://www.elegantjbi.com/blog/bi-for-retail-out-of-the-box-access-for-business-users.htm https://www.elegantjbi.com/blog/bi-for-retail-out-of-the-box-access-for-business-users.htm#comments Wed, 06 Dec 2017 07:21:13 +0000 https://www.elegantjbi.com/blog/?p=5150 Continued]]> BI for Retail: Out-of-the-Box Access for Business UsersAnalytics for Retail: Mobile, Accessible, Easy for Every User!

Retail is changing, and it is changing fast! Online buying is having a significant impact on brick and mortar and customer loyalty has changed dramatically. Consumers now have more options and they are leveraging those options to find the best price and the best value.

Business Intelligence for Retail is more important than ever! BI for retail can provide a real competitive advantage and allow businesses to rapidly make changes to capitalize on opportunities and trends and to identify and resolve issues before they have a negative impact on revenue or customer satisfaction.

Retailers need complete insight into how actual results compare to plan numbers, revenue by store, location, region, product line and other factors. The retail enterprise must carefully manage operational costs to be sure these costs are optimized. Hours of operation, resource allocation, hiring, training, facilities management and other factors impact revenue and the bottom line.

Analytics for Retail is imperative. One must understand buying behavior, customer requirements, exact price points for products, shipping and inventory timing and changing trends. Getting the right product on the store shelves at the right time, for the right price is what retail is all about. Choosing the right location and mix of web and brick and mortar facilities is also important. If the customer cannot find your business, they cannot consider your products.

The retail industry is awash in best of breed, enterprise and legacy systems to manage everything from point of sale (POS) to resource allocation, facilities management, shipping and inventory, equipment and assets, financial results, sales and marketing campaigns, pricing, coupons and discounting and more. If a retail business intends to remain competitive, it must have access to the most complete information with full insight into results and critical issues and the ability to quickly analyze, present, and report these results to support decisions and adapt to the changing market.

If your retail business needs easy-to-use, mobile BI tools for business users, analysts, executive teams and IT staff, you can find it here: Business Intelligence for Retail

Contact us now and find out how your retail business can obtain a competitive advantage.

]]>
https://www.elegantjbi.com/blog/bi-for-retail-out-of-the-box-access-for-business-users.htm/feed/ 0
Assisted Predictive Modeling Guide Users Through the Maze https://www.elegantjbi.com/blog/can-assisted-predictive-modeling-work-for-business-users.htm https://www.elegantjbi.com/blog/can-assisted-predictive-modeling-work-for-business-users.htm#comments Mon, 04 Dec 2017 13:11:39 +0000 https://www.elegantjbi.com/blog/?p=5147 Continued]]> Can Assisted Predictive Modeling Work for Business Users?What is Assisted Predictive Modeling?

Anything that can help your business users to understand, interpret and analyze data is a help! Users have many tasks to perform in a given day and while analysis may not be their forte, they definitely need clear, concise data to share, to make decisions and to see opportunities, challenges and patterns.

To be a positive asset to the business, your business users must be able to accurately plan and forecast everything from budgetary needs to team members and resources, new suppliers, new locations, new products, etc.

Assisted Predictive Modeling is a great way to provide support for your users and your organization. Users get sophisticated tools and algorithms and suggested techniques, and formats, to accurately analyze and understand data in a way that is meaningful to their role and to the type of data and audience with whom they will share that data.

Assisted Predictive Modeling and Predictive Analysis Tools are key to swift analysis and a comprehensive understanding of data across the enterprise, in every department and business unit. Yes, plug n’ play predictive analysis must truly be plug and play! It must not require attention from IT or a data scientist. If you want your business users to adopt and use these tools, you must select predictive analytics tools that are simple; tools that will quickly reveal the trends and allow users to plan and forecast with precision and accuracy. Predictive analysis does not have to be tortuous or confusing.

The Smarten approach to assisted predictive modeling and plug n’ play predictive analytics allows users to forecast and predict results with true insight into the business and the market.

Contact us and find out how easily and quickly you can satisfy your data preparation and data analysis needs.

]]>
https://www.elegantjbi.com/blog/can-assisted-predictive-modeling-work-for-business-users.htm/feed/ 0
Key Performance Indicators for All Users https://www.elegantjbi.com/blog/kpi-tools-are-easy-to-use-and-produce-consistent-results.htm https://www.elegantjbi.com/blog/kpi-tools-are-easy-to-use-and-produce-consistent-results.htm#comments Thu, 30 Nov 2017 12:53:30 +0000 https://www.elegantjbi.com/blog/?p=5143 Continued]]> KPI Tools Are Easy to Use and Produce Consistent ResultsMultidimensional KPIs that are Easy to Use and Produce Consistent Results!

Measuring Key Performance Indicators (KPIs) are important to every business, no matter how small or large. In the past, the process of identifying and measuring KPIs was daunting and it required the involvement of analysts and other experts. Today, BI tools and solutions provide multidimensional KPI analytics and feature tools that allow business users to leverage KPI Analytics without the assistance of IT staff or data scientists.

Once the organization establishes appropriate KPIs, it can cascade operational and strategic KPIs to the staff and thereby allow the entire team to work toward common goals and to see how each person’s department, role and team affect outcomes. Team members can also monitor metrics to understand how the day-to-day activities are helping to achieve goals and to further explore options to address issues and capitalize on opportunities.

KPI software and KPI dashboards should be part of every team member’s toolkit. The right KPI tool allows users to define KPIs with an easy to use, powerful expression engine and set polarity, frequency, and threshold levels using a browser based interface. Users can establish and monitor KPIs at the individual, team, department, division and company level. Defined KPIs are not limited itself to static monitoring. KPI Analytics provide interactive options to change frequencies, dimension breakdowns and drill down to further analyze trends, and reasons for performance and non performance.

If you are looking for out-of-the-box KPI functionality that will ensure swift user adoption, you can find the solution here: Multidimensional KPI

Contact us now and let us help you achieve your analytical goals and meet objectives.

]]>
https://www.elegantjbi.com/blog/kpi-tools-are-easy-to-use-and-produce-consistent-results.htm/feed/ 0
Cross-Tab Reporting is More Relevant Than Ever https://www.elegantjbi.com/blog/2017/11/22/november-22-2017/cross-tab-analysis.htm https://www.elegantjbi.com/blog/2017/11/22/november-22-2017/cross-tab-analysis.htm#comments Wed, 22 Nov 2017 13:26:18 +0000 https://www.elegantjbi.com/blog/?p=5137 Continued]]> Don't Call Cross-Tab Reporting Old School!Cross-Tab Analytics Proves Its Value as a Relevant, Powerful BI Reporting Tool!

When it comes to business data and business intelligence, no one wants to get caught by surprise. If you are missing data, or if you don’t have the ability to get a 360° view of your data, you just know you are going to miss something and that something will probably be very important.

When I talk to others about Business Intelligence Reporting Tools, and I mention cross-tab reporting, people often say that cross-tab is ‘old school’. They talk about it in the same breath as spreadsheets and file cabinets. But, it is important to recognize the value of this kind of BI reporting tool and the insight it provides. Not every traditional tool should be left behind in our rush to the future. If a tool works, we should keep it and, within the framework of new BI reporting software, we can definitely make a place for cross-tab reporting!

What you want is to see your information in the format that makes the most sense for the type of data and the situation. BI objects such as dashboards, reports, cross-tab or graphs allow users to stay abreast of issues, opportunities, financials, sales and other metrics. Using cross-tab, in particular, allows you to analyze the relationship among two or more variables and summarize the data in rows and columns to illustrate the intersection points. I am sure we would all agree that understanding the relationships between data points can help you manage your business and identify patterns, trends, and sensitivity for things like pricing, etc.

Cross-tab analytics offers a 360 degree view of multi-dimensional data with ad-hoc queries, a clear view of corporate performance and the ability to slice and dice data, drill down, drill up and drill through to find the most relevant Information. It also provides easy-to-use complex data operations, summary operations, time series functions, filters and custom column expressions engine to help users make prompt, effective business decisions. Cross-tab analysis provides pivot table and OLAP Analysis to any user.

So, the next time you are inclined to dismiss cross-tab reporting as ‘old school’, stop and think about the value it offers and keep it on your list of ‘go to’ tools for a 360° view of your business data.

If you want better Business Intelligence Reporting Tools, don’t wait. Explore the benefits here: BI Reporting Tools

]]>
https://www.elegantjbi.com/blog/2017/11/22/november-22-2017/cross-tab-analysis.htm/feed/ 0
What is Advanced Analytics and How Can it Advance Your Organization? https://www.elegantjbi.com/blog/what-is-advanced-analytics-and-how-can-it-advance-your-organization.htm https://www.elegantjbi.com/blog/what-is-advanced-analytics-and-how-can-it-advance-your-organization.htm#comments Wed, 22 Nov 2017 11:56:01 +0000 https://www.elegantjbi.com/blog/?p=5134 Continued]]> What is Advanced Analytics and How Can it Advance Your Organization?The term ‘Advanced Analytics’ can seem daunting to the average business user and even to the average business enterprise but the process is not as complex as it may seem.

What is Advanced Analytics?

Advanced Analytics is comprised of numerous sophisticated analytical techniques, designed to parse, explore and analyze data and produce results to support business decisions. Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member. Advanced Analytics provides a 360 degree view of data from data marts, data warehouses, best-of-breed, legacy systems and other data sources. The analytical techniques and algorithms are designed to identify patterns and trends, pinpoint issues and the root cause of these issues and allow the enterprise to capitalize on opportunities and accurately plan for the future.

The concept of Advanced Analytics and cutting-edge BI solutions has evolved to include IT-enabled analytic processing and data manipulation and management, built on a foundation of flexible, scalable architecture that allows business users to perform in-depth analysis across the entire spectrum of analytical tasks from access to integrated data from multiple sources to data preparation, analysis, drill-down, reporting and sharing.

Self-Serve Advanced Analytics provides a roadmap to guide you through a maze of organizational data with tools and models that will bring together data from disparate sources and enable sophisticated yet simple analytics. These tools allow the enterprise to establish and monitor key metrics and to objectively assess results. But, perhaps the most important aspect of advanced analytics is the flexibility of these tools and the ability to go beyond restricted reporting or standardized analytical reports and processes to design and execute unique analysis that will address a particular issue or question for a specific project, or to address a newly discovered problem or question. These self-serve tools allow business users to dive deep into data and enable analysis and reporting that is as unique and creative as the user.

How Can Advanced Analytics Advance Your Organization?

With the right advanced analytics solution, your enterprise does not need advanced analytical skills. The advent of new and improved self-serve business intelligence solutions means that advanced analytics is easier than ever for the average business user to adopt and leverage. Your business users can perform advanced analytics, using sophisticated tools in an easy-to-use, drag and drop interface, with no advanced skill requirement for statistical analysis, algorithms or technical knowledge. Empowering your users to gather, prepare, integrate and analyze data, find patterns and trends, share findings and apply to strategic, operational and tactical activities means that users are more accountable for results and that the organization can more easily cascade objectives and goals and allow users to see and understand how their role and activities affects these objectives and goals. Your enterprise can go beyond data monitoring to ‘discover’ subtle and important factors that will identify issues and patterns, and help the organization capitalize on opportunities.

Advanced Analytics allows the organization to leverage Advanced Data Discovery features and enjoy the benefits of a truly intelligent solution that suggests relationships, identifies patterns, suggests visualization techniques and formats, highlights trends and patterns, and presents predictions.

Tools like Plug n’ Play Predictive AnalysisSmart Visualization and Self-Serve Data Preparation allow the enterprise to transform the average business user into a Citizen Data Scientist and to better plan and forecast and make confident decisions. Your organization can test theories and hypotheses in a risk-free environment without making a market misstep and predict the outcome of pricing changes, new product introductions, supplier changes, added locations and other crucial proposed changes. With the power to test competitive and market strategies, management and business users can see and leverage the hidden value within the organization and find the small problems before they become large issues.

In the Gartner report entitled, ‘Technology Insight for Modern Analytics and Business Intelligence Platforms’, published on September 12, 2017 (ID: G00331857), Gartner analysts predicted that, by 2020, 50% of analytic queries will be generated using search, natural-language processing or voice, or will be automatically generated.

Clearly, the trend toward self-serve Advanced Analytics is going to build in popularity as organizations recognize the significant benefits to the business user and the enterprise.

Advanced Analytics is an invaluable set of tools to help the enterprise engage team members, resolve issues and capitalize on market and competitive opportunities using factual, objective metrics and data for strategic, operational and tactical results.

Original Post: What is Advanced Analytics and How Can it Advance Your Organization?

]]>
https://www.elegantjbi.com/blog/what-is-advanced-analytics-and-how-can-it-advance-your-organization.htm/feed/ 0
Predictive Analytics for Business Users https://www.elegantjbi.com/blog/2017/11/15/november-15-2017/predictive-analytics-for-business-users.htm https://www.elegantjbi.com/blog/2017/11/15/november-15-2017/predictive-analytics-for-business-users.htm#comments Wed, 15 Nov 2017 07:27:12 +0000 https://www.elegantjbi.com/blog/?p=5130 Continued]]> Assisted Predictive Modeling Is Easier than it SoundsLeave it to the Software! Predictive Analytics for the Faint of Heart!

Assisted Predictive Modeling, Predictive Analytics. Those terms strike terror in the hearts of most business users, and that is understandable. These mysterious-sounding terms sound complicated and lead business users to imagine confounding, confusing algorithms, and endless strings of numbers.

What business users want is to find the cause of a problem, discover an opportunity that will help the business, and solve problems. They don’t want to have to try to unravel the complicated world of data analytics and be forced to choose forecasting techniques or predictive models. Your business users aren’t data scientists or analysts. They have a role to play in the organization, and that role increasingly requires them to understand data.

If you give your business users the right predictive analytics tools, if you give them true Plug n’ Play Predictive Analysis, they will be forever grateful and, more importantly, your organization will reap the benefits with improved decisions, and better business results.

Predictive analytics for business users should provide guides to auto-suggest analytical techniques, and reports and graphical displays that will best accomplish the user goals by looking at the type of data and other factors. So your users don’t have to be data scientists! They can depend on the advanced data discovery solution to provide suggestions and recommendations with built-in algorithms to do the heavy lifting!

Why burden your business users with overwhelming tools or tasks that require them to go beyond their professional skills or knowledge in order to get the answers you need to improve your business and challenge your competitors? It should all be so much simpler than that, and it can be! Plug n’ play predictive and forecasting tools help businesses to create Citizen Data Scientists by enabling the average business user to leverage sophisticated predictive algorithms without the expertise and skill of a trained data scientist, so users who are not statisticians or predictive algorithm experts, can leverage self-service plug n’ play predictive tools to achieve their goals.

It’s time for you to simplify predictive analysis and make it accessible to your business users. Plug n’ Play Predictive Analysis

]]>
https://www.elegantjbi.com/blog/2017/11/15/november-15-2017/predictive-analytics-for-business-users.htm/feed/ 0
Smart Data Discovery: A Treasure Map to Success https://www.elegantjbi.com/blog/advanced-analytical-tools-that-are-smart-and-simple.htm https://www.elegantjbi.com/blog/advanced-analytical-tools-that-are-smart-and-simple.htm#comments Tue, 07 Nov 2017 13:12:31 +0000 https://www.elegantjbi.com/blog/?p=5125 Continued]]> Advanced Analytical Tools that are Smart and SimpleSmart Data Discovery Will Guide Your Users Through Advanced Analytics!

Your enterprise and business users do not have the time or the inclination to sift through complex data or wade through instructions to learn how to use complicated business intelligence or advanced analytics tools. They don’t want to document requirements and wait for IT or analysts to produce a report (only to find out that the data is incomplete or that the data was delivered too late to make a confident decision).

What your organization needs is advanced data discovery that is easy enough for every business user with sophisticated tools that will guide them through the analysis process and suggest data analysis techniques, and report formats that clearly display the data. These Advanced Data Discovery tools produce high-quality results that allow users to discover crucial nuggets of information and to identify trends and patterns that would otherwise be hidden in mounds of data.

Done right, data discovery should result in just that: discovering data. The word discovery means ‘the act or an instance of discovering’. It doesn’t mean confusing numbers, nor does it mean pretty pictures that tell you nothing. Discovery allows one to learn, adapt and share, and Smarten BI.

Smarten Business Intelligence is the smarter way to analyze data. Give your business users the right tools to gather, prepare and present data, with auto-suggest options and recommendations to make analysis and report formats simpler and more concise.

Contact us and find out how easily and quickly you can satisfy your most complex advanced analytics needs.

]]>
https://www.elegantjbi.com/blog/advanced-analytical-tools-that-are-smart-and-simple.htm/feed/ 0
Advanced Data Discovery and Augmented Analytics: Simple, Sophisticated Tools for Business Users https://www.elegantjbi.com/blog/advanced-data-discovery-and-augmented-analytics-simple-sophisticated-tools-for-business-users.htm https://www.elegantjbi.com/blog/advanced-data-discovery-and-augmented-analytics-simple-sophisticated-tools-for-business-users.htm#comments Fri, 03 Nov 2017 07:51:11 +0000 https://www.elegantjbi.com/blog/?p=5122 Continued]]> Advanced Data Discovery and Augmented Analytics: Simple, Sophisticated Tools for Business UsersThe world of business analytics has changed dramatically in the past few years. If your business is looking to upgrade BI tools or to begin implementing an analytics solution, the solution must be user friendly for business users. The tools exist today for augmented analytics, augmented data discovery, self-serve data preparation and other features and modules that provide sophisticated functionality and algorithms in an easy-to-use dashboard and environment that is designed to support business users, as well as data scientists and IT staff.

The concept of Advanced Data Discovery allows business users to leverage advanced analytics and helps the organization to create Citizen Data Scientists. Business users can quickly and easily prepare and analyze data and visualize and explore data, notate and highlight data and share data with others to identify the important ‘nuggets’, buried in traditional data, and to connect the dots, find exceptions, identify patterns and trends and better predict results.

While Augmented Analytics may seem too advanced for business users, the key to user adoption, rapid return on investment (ROI) and low total cost of ownership (TCO) is to select tools that are specifically designed to support data and analytical sharing, auto-recommended report formatting and auto-suggested analytical techniques based on the type of data the user is considering.

These tools should include:

  • Self-Serve Data Preparation – Allows business users to perform Advanced Data Discovery and auto-suggests relationships, reveals the impact and importance of key factors, recommends data type casts, data quality improvements and more!
  • Smart Visualization – Smart Data Visualization, suggests the best options for visualizing and plotting for a particular set or type of data, based on the nature, dimensions and trend of data.
  • Plug n’ Play Predictive Analysis – Assisted Predictive Modeling and predictive algorithms (associative, decision trees, classification, clustering and other techniques) lets business users explore hypothesis and assumptions using Advanced Data Discovery and recommendations to perform early prototyping, and drastically reduce the time and cost of analysis and experimentation. Empowers business users with access to meaningful data to test theories and hypotheses without the assistance of data scientists or IT staff.

The benefit of auto-suggestion and auto-recommendation is easy to understand. Business users are more likely to leverage these tools and to gain valuable insight and make confident decisions and predictions if they can use tools that support average skills and do not require advanced technical or analytical experience and knowledge.

To be successful in business, every organization must find a way to accurately forecast and predict the future of its market, and its internal operations, and better understand the buying behavior of its customers and prospects. Advanced Data Discovery and Augmented Analytics tools help businesses to create Citizen Data Scientists by enabling the average business user to leverage sophisticated tools without the expertise and skill of a trained data scientist. These tools are necessary to business success in today’s market.

Original Post: Advanced Data Discovery and Augmented Analytics: Simple, Sophisticated Tools for Business Users

]]>
https://www.elegantjbi.com/blog/advanced-data-discovery-and-augmented-analytics-simple-sophisticated-tools-for-business-users.htm/feed/ 0
Smarter, Better, Faster Data Discovery https://www.elegantjbi.com/blog/2017/10/25/october-25-2017/advanced-data-discovery.htm https://www.elegantjbi.com/blog/2017/10/25/october-25-2017/advanced-data-discovery.htm#comments Wed, 25 Oct 2017 11:26:27 +0000 https://www.elegantjbi.com/blog/?p=5115 Continued]]> Business Users Want MORE: Simple, Advanced Data DiscoveryThe Next, Even Better Gift: Advanced Data Discovery Tools!

Have you ever noticed that when you give someone something, they often want more? This is especially true when they really like what you gave them! As the concept of business analytics becomes more main stream and business users embrace the possibilities, they (and their managers) want and expect even more tools and more potential. They want better solutions. BUT, don’t make the mistake of interpreting the need for more sophistication and detail as a need for more complexity. Business users are still business users and, as organizations pursue the natural progression of business analytics, the emergence of  Advanced Data Discovery enables those same business users to enjoy the benefits of more sophistication, more possibilities and more data sharing without the need for IT staff or data scientist involvement.

Happily, Advanced Data Discovery Tools have evolved, and with this natural progression, business users can now leverage advanced analytics and become true Citizen Data Scientists. Advanced Data Discovery allows business users to quickly and easily prepare and analyze data and visualize and explore data. They can notate and highlight data, share data with other users and most importantly, they can identify those crucial ‘ah hah’ nuggets of information that are buried in the mountains of traditional data within every organization.

My team uses augmented data preparation and self-serve data prep, and tools like smart data visualization, plug n’ play predictive analysis and assisted predictive modeling to connect all the dots, find those all-important exceptions, and identify patterns and trends so they can get ahead of the game and help us in the market.

And, the best part is that a business user with average skills can do all of this without specialized skills, knowledge of statistical analysis or support from IT or professional data scientists.

It’s really no surprise that they want more! After all, when you can make their job easier and make them more successful, they will always adopt the tools and jump in with both feet. Don’t rest on your laurels! Give your users (and your enterprise) the gift of advanced data discovery and watch them shine! Advanced Data Discovery

]]>
https://www.elegantjbi.com/blog/2017/10/25/october-25-2017/advanced-data-discovery.htm/feed/ 0
Imagine Your Perfect BI Dashboard https://www.elegantjbi.com/blog/2017/10/24/october-24-2017/flexible-bi-tools.htm https://www.elegantjbi.com/blog/2017/10/24/october-24-2017/flexible-bi-tools.htm#comments Tue, 24 Oct 2017 05:30:11 +0000 https://www.elegantjbi.com/blog/?p=5118 Continued]]> Flexible BI Dashboards Give Users EVERY Tool They NeedA Flexible BI Dashboard is Like a Full Box of Crayons!

What if a teacher gave a child a box of crayons with only two colors? Can you imagine the disappointment of that child when they compared their crayon box with the crayons the other children received and realized that the other children had so many other colors from which to choose?

You’re probably wondering why I am talking about crayons but don’t worry! I am about to explain. Consider the average business intelligence product. The enterprise implements the solution and gives the IT staff or professional data analysts the task of deciding what business users need to see. Dashboards and reports are ‘designed’ by these professionals to give the average user what they need. The problem with this approach is that business users rarely get what they need or want. What they get is the crayon box with two crayons, when what they need is a crayon box that contains EVERY color!

Self-Serve business intelligence allows business users the freedom to imagine without limiting data analytics to visual data analysis on predefined dashboards. Think about it! Your business is more than just plotting pieces of information on a graph and filtering them, and you certainly expect your business users and team members to take their roles seriously and to contribute to the overall success of the company by leveraging their knowledge and skill. To do that, your team needs flexible tools – not restrictive dashboards and reports.

Every day there is some new challenge or opportunity in your business. True, dynamic data analysis and data sharing is about questioning assumptions and shifting plans to accommodate changes. No predefined two-crayon type of dashboard can possibly anticipate everything your business users need and want to do. Success depends on having thousands of dashboards and analytics and empowering EVERY team member with the view, format and data they need to execute the vision.

If you want to explore the whole box of crayons, you can start here: Flexible Business Intelligence Tools

]]>
https://www.elegantjbi.com/blog/2017/10/24/october-24-2017/flexible-bi-tools.htm/feed/ 0
ElegantJ BI Included in Gartner ‘Market Guide for Traditional Enterprise Reporting Platforms’, September 2017 https://www.elegantjbi.com/blog/elegantjbi-included-in-gartner-market-guide-for-traditional-enterprise-reporting-platforms-september-2017.htm https://www.elegantjbi.com/blog/elegantjbi-included-in-gartner-market-guide-for-traditional-enterprise-reporting-platforms-september-2017.htm#comments Mon, 16 Oct 2017 13:25:45 +0000 https://www.elegantjbi.com/blog/?p=5096 Continued]]> ElegantJ BI Included in Gartner 'Market Guide for Traditional Enterprise Reporting Platforms', September 2017ElegantJ BI, an innovative vendor in Business Intelligence and Augmented Analytics, is pleased to announce that ElegantJ BI is named as Representative Vendors in the Gartner ‘Market Guide for Traditional Enterprise Reporting Platforms‘ report published September 28, 2017.

CEO, Kartik Patel says, “We are gratified to once again our Business Intelligence tool is included in the Gartner ‘Market Guide for Traditional Enterprise Reporting Platforms‘ report. Our core focus is on market innovation and the simplification and accessibility of sophisticated self-serve tools to support data democratization for business users, and we recognize the significant potential and need for growth and innovation in the business intelligence and advanced analytics market.”

As the business intelligence and analytical market evolves, the evolution of flexible reporting and sophisticated, easy-to-use reporting features and formats is crucial to users and to businesses. ElegantJ BI delivers web-based, clear and concise BI reports within minutes. It is simple to use, practical to implement and affordable for every organization. Users can point-and-click and drag-and-drop to instantly create reports or performance metrics or dashboards, or to perform ad-hoc analysis on operational data, in a self-serve environment without the need for programming, database or SQL skills.

“The team at ElegantJ BI continuously assesses market need and user feedback and develops products and services, designed to help grow customer organizations and add meaningful tools to satisfy the needs of the enterprise,” Patel says. “Our Smarten approach to business intelligence and advanced analytics re-imagines self-serve analytics in an integrated, personalized environment.”

The ElegantJ BI Smarten approach to Advanced Data Discovery includes Smart Visualization, Self-Serve Data Preparation and Plug n’ Play Predictive Analysis including augmented data discovery, and other features that provide sophisticated functionality and algorithms in an easy-to-use self-serve environment that is focused on business users. Sophisticated, easy-to-use functionality like auto-suggestion and auto-recommendation allows business users to gain valuable insight, and produce and share clear, concise reports to meet ever-changing needs.

More information on the business intelligence and analytical solution market is available in the Gartner report: Market Guide for Traditional Enterprise Reporting Platforms, Published: 28 September 2017, ID: G00327005, Analyst(s): Shubhangi Vashisth, Rita L. Sallam, Nigel Shen.

Disclaimer: Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization, and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About ElegantJ BI

ElegantJ BI is the flagship BI & Advanced Data Discovery solution of Elegant MicroWeb, and an intelligent ‘Design once, Use anywhere’ adaptive UI engine for out-of-the-box roll out to transform business users into Citizen Data Scientists. ElegantJ BI has developed the Smarten approach to business intelligence which supports Advanced Data Discovery with Self-Serve Data Preparation, Smart Visualization and Plug n’ Play Predictive Analysis and a 100% browser-based foundation that enables Mobile BI, Social BI and rich KPI analytics. ElegantJ BI is used by large, medium and small businesses around the world, including Religare Securities, IPCA Laboratories, JMC Projects, Sharekhan, Raychem RPG and many other small and medium size businesses.

Read More: ElegantJ BI Included in Gartner ‘Market Guide for Traditional Enterprise Reporting Platforms’, September 2017

Related Posts:

– ElegantJ BI Included in Gartner ‘Market Guide for Traditional Enterprise Reporting Platforms’, September 2017

– ElegantJ BI Solution Included in August 4, 2017 Gartner ‘Other Vendors to Consider for Modern BI and Analytics’ Report

– ElegantJ BI Included in Gartner Nov., 2016 Report, ‘Other Vendors to Consider for Modern BI and Analytics’

– Gartner Report, Competitive Landscape: BI Platforms and Analytics Software, Asia/Pacific Lists ElegantJ BI as Niche BI & Analytics Vendor

– ElegantJ BI Listed as a Representative Vendor in the Recent Gartner Market Guide for Enterprise-Reporting-Based Platforms

– ElegantJ BI in Gartner Market Guide and Magic Quadrant for BI – 2016

]]>
https://www.elegantjbi.com/blog/elegantjbi-included-in-gartner-market-guide-for-traditional-enterprise-reporting-platforms-september-2017.htm/feed/ 0
What’s the Right BI Tool for Manufacturing? https://www.elegantjbi.com/blog/bi-for-manufacturing-out-of-the-box-and-simple.htm https://www.elegantjbi.com/blog/bi-for-manufacturing-out-of-the-box-and-simple.htm#comments Wed, 04 Oct 2017 13:28:59 +0000 https://www.elegantjbi.com/blog/?p=5090 Continued]]> BI for Manufacturing: Out-of-the-Box and Simple!Is There a Simple BI for Manufacturing Solution for Business Users?

Manufacturing has certainly changed over the past few decades! Global competition is greater today and local or regional manufacturers can no longer hope to achieve a competitive advantage based on location and geography alone. Products, pricing, process, quality and features drive the market and consumers are willing to purchase products from competitors to get more favorable pricing or a better, more suitable product.

Managers and business users must leverage technology and data to remain abreast of developments, understand quality issues, service interruption, resource shortages and other critical business factors. Every user must know what is expected of them to perform their role and satisfy the goals and initiatives set forth by management.

What your users need is business intelligence FOR manufacturing! BI for manufacturing should be out-of-the-box so you can get up and running as soon as possible with minimal business user training and optimal results and clarity of analysis. The right business intelligence tool for your manufacturing business is one that will provide dashboards for manufacturing (not cookie cutter dashboards that must be customized and changed to accommodate the needs of a manufacturing business). You want features like analytics for manufacturing, KPI for manufacturing and a reporting tool for manufacturing; all designed with experienced domain knowledge to make your life (and the lives of your users) easier!

The right business intelligence solution should support manufacturing business users with sophisticated, advanced data analytics in a simple-to-use environment that allows them to analyze cost factors and make appropriate decisions for acquisition of raw material and sold goods. Managers should have insight into the demand and supply trends in the market and ordering, shipping and inventory results to optimize investment and avoid short supply. With ElegantJ BI for Manufacturing, users can gather and analyze data from supply chain systems, ERP, sales and marketing and CRM systems, and purchasing, shipping and distribution systems. You can gain insight into business processes, understand and resolve issues and forecast and predict demand for resources, supplies, inventory and equipment – all with the click of a mouse!

If you are looking for out-of-the-box business intelligence functionality for your manufacturing business, you can find it here: Business Intelligence for Manufacturing.

Contact us now and let us help you achieve your analytical goals and meet objectives.

]]>
https://www.elegantjbi.com/blog/bi-for-manufacturing-out-of-the-box-and-simple.htm/feed/ 0
Self-Service Data Prep: A Tool for Business Users https://www.elegantjbi.com/blog/self-serve-data-preparation-makes-data-analysis-easy-fast.htm https://www.elegantjbi.com/blog/self-serve-data-preparation-makes-data-analysis-easy-fast.htm#comments Fri, 29 Sep 2017 13:47:57 +0000 https://www.elegantjbi.com/blog/?p=5087 Continued]]> Self-Serve Data Preparation Makes Data Analysis Easy & FastSelf-Serve Data Preparation Makes Business Users More Productive and Efficient!

There is too much to do in a day to wait for someone else to give you the data you need. But, when it comes to data preparation and data analytics, business users are usually not comfortable with complex solutions that are time consuming or that require professional analytical skills. You pay your team members to have a certain type of expertise and that doesn’t always include technology or analytical knowledge. So, if you want them to be a real asset to the organization, you have to give them easy-to-use self-serve data preparation tools. Self Serve data prep allows business users to quickly gather and prepare data for analysis and to answer questions and solve problems without delay.

Your business users know what they need to know but it isn’t always easy to get that information. Data preparation tools that are suitable for the average business user will move your organization along at a faster pace with the right information so you are making the right business decisions. Self-Service data prep must be intuitive, mobile and flexible so that business users can leverage data to find problems, create solutions, identify patterns and trends and move departments, teams and the organization forward. Don’t sacrifice sophistication for ease-of-use. You can have both. Business users can enjoy data preparation and connect to various data sources to mash up and integrate data, and merge data in a single, uniform, interactive view with smart suggestions and auto-suggested relationships for JOINS, type casts, hierarchies and more. Users can clean, reduce and clarify data using sophisticated algorithms in an easy-to-use environment that is agile and provides accurate, dependable data governance to satisfy the IT team.

The Smarten approach to self-serve data preparation allows you and your users to leverage sophisticated analytical techniques without the assistance of an analyst or an IT professional. If you want to give your business users the right tools to gather, prepare and present data, contact us and find out how easily and quickly you can satisfy your data preparation and data analysis needs.

]]>
https://www.elegantjbi.com/blog/self-serve-data-preparation-makes-data-analysis-easy-fast.htm/feed/ 0
Get Business Intelligence that Suits Business Users https://www.elegantjbi.com/blog/are-all-bi-tools-and-solution-suitable-for-business-users.htm https://www.elegantjbi.com/blog/are-all-bi-tools-and-solution-suitable-for-business-users.htm#comments Wed, 27 Sep 2017 12:31:13 +0000 https://www.elegantjbi.com/blog/?p=5084 Continued]]> Are All BI Tools and Solution Suitable for Business Users?All Business Intelligence Solutions are Not Alike!

There is a lot to business intelligence and it is easy to get lost in the details but, if you want to promote a self-serve BI environment for your users, you will want to have a good understanding of your product options. Look for a solution that offers key performance indicator analytics, with an easy-to-personalize KPI dashboard. Look for business intelligence reporting tools that allow for drill down, drill through, and produce attractive, clear, concise reports that can be easily shared and that are accessible on mobile devices with diverse sizes and screen resolution.

All BI tools and solutions are not created equal, and they certainly don’t provide the ease-of-use that business users need. A tool that is only accessible to, or easily understood by IT or data scientists does not give you the organizational coverage you need, nor does it promote productivity, data sharing, accountability or empowerment among business users.

Strive to create Citizen Data Scientists by selecting a Business Intelligence Solution that provides powerful, sophisticated functionality in a simple user environment so you can encourage user adoption and improve ROI and TCO.

If your users need this kind of self-guided, self-serve business intelligence and you want to improve your planning, forecasting and decision-making, look no further. Business Intelligence in Action.

Contact us now and let us help you to quickly and seamlessly integrate business intelligence with your business workflow and user population.

]]>
https://www.elegantjbi.com/blog/are-all-bi-tools-and-solution-suitable-for-business-users.htm/feed/ 0
Smart Data Visualization Walks You Through to Success https://www.elegantjbi.com/blog/smart-data-visualization-helping-hand-for-business-users.htm https://www.elegantjbi.com/blog/smart-data-visualization-helping-hand-for-business-users.htm#comments Wed, 27 Sep 2017 08:41:14 +0000 https://www.elegantjbi.com/blog/?p=5081 Continued]]> Smart Data Visualization: A Helping Hand for Business UsersTake the Guesswork Out of Analytics with Smart Data Visualization!

Smart data visualization takes the guesswork out of data analysis. Why ask your business users to use cumbersome, difficult tools to analyze data or expect them to wait for professional analysts or IT staff to satisfy their analytical needs. They have a job to do and you hold them accountable for results but if they don’t have the right data visualization tools, they can’t get the most out of data.

The key is to give your users Smart Data Visualization that will offer recommendations on how to present and visualize data, suggesting the best options for visualizing and plotting for a particular set or type of data, based on the nature, dimensions and trend of data, based on the type of data the user is analyzing and on other factors. The software for data visualization should do the work!

Smart Visualization tools allow users to gather various data components and tell a story that will clarify a problem, identify an opportunity or help to make a decision. In order to build and tell that story, the business user must be able to interact with their analytics software and build the story through guided visualization and recommended data presentation to best illustrate the underlying data and issues. Business users can quickly and efficiently produce best possible visualization of underlying data based on data type, volume, dimensions, patterns and nature of data.

Traditional data visualization is static and, while it may offer a choice of graphs and displays, it is not interactive and is not ‘Smart’ enough. In the traditional scenario, visual representations are not useful in helping users to analyze and understand data or choose the right method to display and report that data for decision-making. Smart Visualization allows the enterprise and its users to select and display data in a way that assures accurate interpretation and assumes no technical skill or need for in-depth training.

If you want to take the Smarten approach and leverage smart data visualization tools, we encourage you to contact us for more information.

]]>
https://www.elegantjbi.com/blog/smart-data-visualization-helping-hand-for-business-users.htm/feed/ 0
Social BI Inspires Data Popularity https://www.elegantjbi.com/blog/social-bi-improves-collaboration-and-effectiveness.htm https://www.elegantjbi.com/blog/social-bi-improves-collaboration-and-effectiveness.htm#comments Wed, 20 Sep 2017 13:40:52 +0000 https://www.elegantjbi.com/blog/?p=5077 Continued]]> Social BI Improves Collaboration and EffectivenessSocial BI Tools: A Logical (and Crucial) Extension of Social Networking!

Business intelligence has become a crucial tool for business users and for organizations large and small. It was only a matter of time before social business intelligence took over the enterprise! Sharing data and content is a habit for all consumers and consumers have jobs. Within the context of those jobs, a consumer becomes a team member – a business user who now uses social business intelligence tools to gather, analyze and share data and make better, more dependable decisions.

Within the realm of Social BI, power users will emerge and data popularity will rise. The way in which a creative business user employs social BI tools, data gathering and analysis techniques and data reports and display formats will drive other business users to find and share data and allow users to teach each other and inspire more analytical creativity.

But, the reach of social BI software does not stop there! As the enterprise considers and assesses the ways in which business users share and use data, it can better anticipate the needs of the user base and provide better, more targeted tools, integrated data and analytical features and functionality to support and drive the organization, improve productivity and time to market and increase competitive advantage.

Contact us and find out how to inspire Social BI and leverage Social BI Dashboards within your organization.

]]>
https://www.elegantjbi.com/blog/social-bi-improves-collaboration-and-effectiveness.htm/feed/ 0
Predictive Analysis Tools are Not Just for Analysts https://www.elegantjbi.com/blog/predictive-analytics-puts-you-ahead-of-the-competition.htm https://www.elegantjbi.com/blog/predictive-analytics-puts-you-ahead-of-the-competition.htm#comments Tue, 19 Sep 2017 12:03:56 +0000 https://www.elegantjbi.com/blog/?p=5074 Continued]]> Predictive Analytics Puts You Ahead of the CompetitionPlug n’ Play Predictive Analytics Solutions for Every Business User!

Predictive analysis is very important to your organization. If you can dependably predict and forecast results, you can stay ahead of the competition, address changing customer needs, capitalize on opportunities and solve problems before they negatively impact your enterprise.

But, your market is no different than any other market. Things are changing fast and you don’t have the time or the money to hire additional professional analytical resources and wait for those limited resources to satisfy the daily, changing needs of your user base. If you are to fully leverage predictive analytics, you must provide easy-to-use assisted predictive modeling tool. These plug n’ play predictive analytics solutions allow your business users to dive in and participate in predictive analytics. Your business users do not need to be professional analysts in order to take advantage of these predictive analytics tools so user adoption and user satisfaction is never an issue. This predictive analytics software is fast and easy to implement and provides impressive ROI and TCO.

Most importantly, out-of-the-box predictive analysis tools are flexible so expanding the user base, and growing with the natural ebb and flow of the organization is not a problem. Business users will become Citizen Data Scientists who can find and analyze information on a daily basis to solve problems and create meaningful reports to share with other users so the organization is more empowered and accountable and every team member in every role can see how their goals fit and support the overall enterprise objectives.

Your team members have a lot of things to juggle in a day. Don’t ask them to use tools that are cumbersome or frustrating. Give them predictive analysis tools that are mobile, easy to use and provide plug n’ play predictive analytics to identify trends and patterns and help users to discover those unique ‘nuggets’ of information that will help the organization rise about the competition.

We encourage you to take the Smarten approach to Plug n’ Play Predictive Analytics. Contact us to find out how!

]]>
https://www.elegantjbi.com/blog/predictive-analytics-puts-you-ahead-of-the-competition.htm/feed/ 0
Advanced Analytics: If You Don’t Know What You Need, How Can You Succeed? https://www.elegantjbi.com/blog/advanced-analytics-if-you-dont-know-what-you-need-how-can-you-succeed.htm https://www.elegantjbi.com/blog/advanced-analytics-if-you-dont-know-what-you-need-how-can-you-succeed.htm#comments Fri, 15 Sep 2017 09:38:15 +0000 https://www.elegantjbi.com/blog/?p=5067 Continued]]> Advanced Analytics: If You Don't Know What You Need, How Can You Succeed?Every enterprise is talking about Business Intelligence and Advanced Analytics. Every enterprise has considered the benefits of implementing self-serve analytics across the organization and involving business users in the process. Panel discussions at technology conferences and hallway conversations among executives and IT staff encourage the trend and create anxiety within the organization that has not yet embraced advanced analytics at the grassroots level.

But, before your organization selects and deploys a solution, there are numerous important considerations. Choosing and implementing a solution for advanced analytics and augmented data discovery is not as simple as buying team t-shirts for your company baseball team. If you do not take the time and effort to do it right, your enterprise may spend a lot of money and time on a solution that reaps little to no benefit.

Don’t become a failure statistic! Ask yourself this: If you don’t know what you need, how can you succeed?

Requirements Planning for Data Analytics

Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs. While it is true that advanced analytics can help every type and size of business, it is important to remember that YOUR organization is not like any other enterprise. Take the time to develop detailed requirements that consider business user skills, use cases for day-to-day analytics needs and for strategic use, the need for mobile access, scalability, data source integration and other needs. Will you need the flexibility to customize or personalize dashboards? What kind of training or guidelines will your organization need in order to access and leverage the analytics solution and provide the kind of results and user adoption you expect? What kind of statistical data, report capability and security will you need? How will you manage growth?

Curated Data Provides Answers, NOT More Questions

Nearly every organization is overwhelmed by the volume of data and the number of disparate sources and data structures it must manage. Your business users, data scientists and IT staff NEED data, but they need the right data and they need to easily integrate and manage that data if they are to use it to their advantage. One of the crucial success factors for advanced analytics is to ensure that your data is clean and clear and that your users have a good understanding of the source of the data so that they can put results in perspective. Social BI and the advent of smart visualization, augmented data modeling, self-serve data preparation makes it easy to gather and analyze the data but insight and perspective is key to success. Be sure to consider the location, condition and accuracy of your data and to select a solution that will connect various data sources (personal, external, cloud, and IT provisioned). Your organization can enjoy an interactive view and clean, clear data so that it is easier to use and interpret to provide data quality and clear watermarks to identify the source of data.

Data Governance and Self-Serve Analytics Go Hand in Hand

Many businesses step away from the concept of self-serve analytics because they believe that the concepts of self-serve and data governance are at odds but nothing can be further from the truth. If you select the right solution, you can ensure data and personal security and provide appropriate access at all levels of the organization. Give your business users the access they need with streamlined data governance to balance provisioned/approved data sources, watermarked/certified data and user-created data while assuring data provenance and dependability. if a user has access to an advanced analytics solution that integrates and delivers data from multiple legacy, best-of-breed and ERP systems, with the right solution, the enterprise can decide what type of data and access each user is entitled to enjoy. You need to understand your governance requirements and goals and select a solution that is flexible enough to deliver access to the type of depth of data your users need.

Collaboration Results in the RIGHT Analytical Solution

We already discussed the need for detailed requirements but it is also important to point out the importance of involving all teams in the requirements process. Business users will have different requirements from data scientists, IT staff and executives. If you are to succeed in implementing and leveraging an advanced analytical solution, you need to understand the perspective, role and needs of each group and select a solution that will meet those needs, one that is flexible enough to accommodate changing requirements, location and organization growth, and the organizational goals for cost and project timelines. Don’t make assumptions. Collaboration among users and teams is key to your success.

Data Analytics Literacy MUST Exist at All Organizational Levels

Finally, it is important to include data literacy considerations. This does not mean that your users have to become skilled data scientists. It simply means that, if users at every level of your organization are going to adopt and effectively use advanced analytics to meet enterprise goals, each user must understand:

  • The objectives and goals the organization has set forth for the advanced analytics initiative
  • How this initiative impact their role
  • How these tools can provide meaningful assistance in helping them to achieve THEIR goals.
  • How individuals and teams can share advanced analytics and create a social BI environment
  • How advanced analytics and metrics can and will reveal answers, issues and opportunities
  • How and when to involve IT and data scientists when strategic, next level, analytics is required
  • The guidelines and basics of the advanced analytics environment, e.g., various data sources, reports and types of analysis available for their use

When we talk about data analytics literacy, we must include literacy goals at every level of the organization, including senior executives. Team members are more likely to take this initiative seriously if senior executives use and understand these tools and can engage in meaningful discussions when presented with reports or when discussing issues or opportunities revealed by data analytics.

This article provides a summary discussion of some of the important factors involved in the consideration of an advanced analytical solution implementation. This planning process is key to the successful selection, implementation, deployment and management of an advanced analytical solution.

Original Post: Advanced Analytics: If You Don’t Know What You Need, How Can You Succeed?

]]>
https://www.elegantjbi.com/blog/advanced-analytics-if-you-dont-know-what-you-need-how-can-you-succeed.htm/feed/ 0
Mobile BI Tools with Great ROI and TCO: Fast and Easy https://www.elegantjbi.com/blog/2017/09/12/september-12-2017/mobile-bi-roi-tco.htm https://www.elegantjbi.com/blog/2017/09/12/september-12-2017/mobile-bi-roi-tco.htm#comments Tue, 12 Sep 2017 13:46:12 +0000 https://www.elegantjbi.com/blog/?p=5063 Continued]]> The Secret to Mobile BI Tools with Great ROI and TCO?Mobile BI Tools with Great ROI and TCO? Yes! You CAN Have it All!

I know many of you balk at the idea of upgrading or acquiring BI tools. The benefits of business intelligence software are well known but organizations are often discouraged by what they perceive as the high cost and long implementation time required to complete the project.

If you are on the fence about mobile business intelligence tools, or if you are afraid of upgrading what you have, be not afraid! Reimagine BI! Whether you need mobile business intelligence tools for small business, BI for medium business or business intelligence for enterprise business, you can get a cost-effective solution; one that is easy to implement, easy to train and use and offers great total cost of ownership (TCO) and rapid return on investment (ROI). No development required!

You deserve the advantage of great mobile BI tools and sophisticated, simple tools that are easy enough for every business user will turn your users into Citizen Data Scientists.

Talk to someone who can help you envision and execute the ideal business intelligence solution at a cost you can afford with timely, simple implementation. It really IS that simple. Mobile Business Intelligence

]]>
https://www.elegantjbi.com/blog/2017/09/12/september-12-2017/mobile-bi-roi-tco.htm/feed/ 0
Plug n’ Play! Analytics that Leads Business Users to Success https://www.elegantjbi.com/blog/2017/09/11/september-11-2017/assisted-predictive-modeling.htm https://www.elegantjbi.com/blog/2017/09/11/september-11-2017/assisted-predictive-modeling.htm#comments Mon, 11 Sep 2017 14:32:34 +0000 https://www.elegantjbi.com/blog/?p=5060 Continued]]> Assisted Predictive Modeling Leads the Way with EasePlug n’ Play Predictive Analysis: Sophisticated, Yet Easy for Every User!

Oh, the confusion of advanced analytical terminology. Read a report, attend a conference and your head is swirling with terms like ‘assisted predictive modeling’, plug n’ play predictive analysis, smart visualization, augmented data discovery and augmented data preparation. Add to that, the sophisticated concepts of auto-suggest, auto-recommend, time series forecasting, causation and prediction and classification techniques and you may feel that you need a degree in data science to do your job.

But, if you get the right Advanced Analytics Tools, you don’t have to worry about all of that because the tool will do the work for you. Take plug n’ play predictive analytics for example. Your organization can create and enable Citizen Data Scientists by enabling the average business user to leverage sophisticated predictive algorithms without the expertise and skill of a trained data scientist, so users who are not statisticians or predictive algorithm experts, can leverage self-service plug n’ play predictive tools to confidently make business decisions.

Select the data you want to analyze and see how easy it is to get results and produce reports that point you in a clear direction, illustrate patterns and trends and even auto-suggest and recommend analytical techniques to help you sort it out in the best way possible.

With the right combination of sophisticated tools and easy-to-use navigation, drag and drop flexibility and personalized dashboard capabilities, every one of your users can have the power and flexibility of predictive analytics without the help of data analysts or IT staff. Business users will have the tools to make the right decision in a timely fashion without guessing or worrying that they may be missing something or that the data just doesn’t give them a clear answer. It’s like having an expert data scientist standing at your shoulder, pointing out the best way to organize and analyze the data. What could be better than that?

Make it simple, using sophisticated tools! Assisted Predictive Modeling

]]>
https://www.elegantjbi.com/blog/2017/09/11/september-11-2017/assisted-predictive-modeling.htm/feed/ 0
Business Intelligence for Tally: Ready Made to Succeed https://www.elegantjbi.com/blog/analytics-for-tally-bi-tools-to-the-tally-environment.htm https://www.elegantjbi.com/blog/analytics-for-tally-bi-tools-to-the-tally-environment.htm#comments Fri, 08 Sep 2017 11:46:42 +0000 https://www.elegantjbi.com/blog/?p=5057 Continued]]> Analytics for Tally: BI Tools to the Tally EnvironmentTally and Business Intelligence go Hand in Hand!

Tally® users are devoted and have come to depend on the Tally tool for enterprise, accounting and financial reporting and data management. So, when an organization contemplates the use of a business intelligence solution, it is crucial to integrate the data and the flexibility of user tools to provide seamless support and business intelligence for Tally and its user base.

Every enterprise needs to have flexible, easy-to-use technology. When your organization provides KPI for Tally to manage key performance indicators within the Tally and business intelligence environment; when business intelligence tools also act as a reporting tool for Tally, your business users are bound to adopt and leverage business intelligence and enjoy the value of Tally data in an integrated environment with easy-to-use business intelligence features ad functional.

If you can give your users a Complete Business Intelligence Solution for Tally® with pre-built, ready-to-use Tally Dashboards, you remove the obstacles and frustration inherent in complex, cumbersome business intelligence solutions and the silo environments created by standalone software solutions.

The right business intelligence software provides out-of-the-box critical monitoring of business parameters and performance indicators and is ready made to easily design any report, any dashboard or KPI as per your business needs. Self-serve BI allows users to create Tally dashboards, reports and KPIs on their own, without need of any programmers or third party consultants.

If your users love their Tally tools and you want to better leverage Tally and easily analyze and report on data within the Tally environment, contact us now and let us help you to quickly and seamlessly integrate your Business Intelligence Tools with Tally.

]]>
https://www.elegantjbi.com/blog/analytics-for-tally-bi-tools-to-the-tally-environment.htm/feed/ 0
Data Discovery Tools Help Your Discover Success https://www.elegantjbi.com/blog/smart-data-discovery-is-the-answer-to-so-many-questions.htm https://www.elegantjbi.com/blog/smart-data-discovery-is-the-answer-to-so-many-questions.htm#comments Wed, 06 Sep 2017 11:19:55 +0000 https://www.elegantjbi.com/blog/?p=5054 Continued]]> Smart Data Discovery is the Answer to So Many Questions!Advanced Data Discovery to Advance Your Business!

Advanced Data Discovery is only possible with the right data discovery tools. If you want to encourage smart data discovery, you don’t need smarter users – you need smarter tools. Advanced Analytics Tools should be simple enough for every business user to perform advanced data discovery using auto-suggested relationships and revealing the impact of decisions and changes within the organization.

The ideal advanced analytics software should allow your users to drag and drop data without advanced IT skills and it should enable them to analyze data without a degree in statistical analysis or advanced knowledge of algorithms or technology. Using advanced analytics tools your users should be able to gather and prepare data, integrate and analyze data and discover trends, share findings and apply appropriate decisions to operational, tactical and strategic processes, activities and goals.

If organized and presented properly, your data should allow users to discover the more subtle, but nevertheless important, aspects of data and results and predict outcomes and impacts based on decisions about new products, pricing, additional resources, partnerships, competitive decisions, etc.

We encourage you to take the Smarten approach to data discovery tools. Contact us to find out how!

]]>
https://www.elegantjbi.com/blog/smart-data-discovery-is-the-answer-to-so-many-questions.htm/feed/ 0
Visual Analytics Software for Every Business User https://www.elegantjbi.com/blog/bi-analytics-can-and-should-be-easy-and-visually-informative.htm https://www.elegantjbi.com/blog/bi-analytics-can-and-should-be-easy-and-visually-informative.htm#comments Mon, 04 Sep 2017 12:42:32 +0000 https://www.elegantjbi.com/blog/?p=5051 Continued]]> BI Analytics Can and Should Be Easy and Visually InformativeVisual Analytics Software and BI Analytics Tools Help to Solve Problems!

Studies show that people learn and make connections faster and better when they can see visual depictions of information. The saying, ‘A picture is worth a thousand words’ is true and understanding that concept is crucial to business success. Users and executives do not want to read through hundreds of pages of information. They do not want to waste time looking for that elusive answer in a twenty-page spreadsheet.

When it comes to BI analytics and business intelligence analytics software, your organization will experience better user adoption, ROI and TCO and it will gain a competitive advantage if it selects and implements visual analytics software that is easy for business users to embrace and leverage.

Data analytics does not have to be dry or boring. In fact, it should be exciting to use. It can help your users to easily see and recognize trends and patterns and to identify challenges before they become issues. The right data analytics tool will encourage analysts, IT and business users alike to make use of the BI analytics tools on a daily basis thereby improving productivity, collaboration and above all else, improving the quality of decision-making and outcomes and results.

A flexible visual analytics environment allows users to gather and analyze data in a way that is meaningful to them and appropriate for the data they wish to display and share with other users.

If you want a data analytics tool that will support creative use and displays of data and enable business users with easy-to-use tools and features, we invite you to contact us.

]]>
https://www.elegantjbi.com/blog/bi-analytics-can-and-should-be-easy-and-visually-informative.htm/feed/ 0
Reimagine Business Intelligence? Yes You CAN! https://www.elegantjbi.com/blog/imagine-happy-users-reimagine-business-intelligence.htm https://www.elegantjbi.com/blog/imagine-happy-users-reimagine-business-intelligence.htm#comments Fri, 01 Sep 2017 14:51:45 +0000 https://www.elegantjbi.com/blog/?p=5042 Continued]]> Imagine Happy Users, Reimagine Business Intelligence!Reimagine Business Intelligence AND Your Future Business Success!

Business intelligence tools do not have to be cumbersome. Business intelligence reporting does not have to be incomplete, inaccurate or dry and boring. If you can reimagine business intelligence, and see it for what it SHOULD be, rather than what you may have now or what you believe it is, your business users, IT staff and executives and managers can enjoy BI reporting, BI dashboards and BI tools that meet the needs of every user.

You have to know that you can’t possibly anticipate every requirement a user will have and your IT team already knows that it can’t possibly meet the needs of every BI reporting request or provide quick, accurate turnaround when they are trying to juggle so many other technology needs and crucial requirements within the organization.

Your team can’t read minds and even your users don’t necessarily know what they will need from day-to-day. Executives may drive strategy, but the market, customers and competition drive the future and things change quickly. When you Reimagine business intelligence as an open, flexible, mobile environment that brings together information from disparate data sources and allows the average user to access sophisticated tools without the knowledge of a data scientist – well, you will reap the benefits in empowerment, accountability and competitive advantage. It’s just that simple!

Contact us and find out how your team can Reimagine BI!

]]>
https://www.elegantjbi.com/blog/imagine-happy-users-reimagine-business-intelligence.htm/feed/ 0
ElegantJ BI Solution Included in August 4, 2017 Gartner ‘Other Vendors to Consider for Modern BI and Analytics’ Report https://www.elegantjbi.com/blog/elegantjbi-solution-included-in-august-4-2017-gartner-other-vendors-to-consider-for-modern-bi-and-analytics-report.htm https://www.elegantjbi.com/blog/elegantjbi-solution-included-in-august-4-2017-gartner-other-vendors-to-consider-for-modern-bi-and-analytics-report.htm#comments Thu, 24 Aug 2017 11:27:42 +0000 https://www.elegantjbi.com/blog/?p=5111 Continued]]> ElegantJ BI Solution Included in August 4, 2017 Gartner 'Other Vendors to Consider for Modern BI and Analytics' ReportElegantJ BI, a leading vendor in Business Intelligence and Advanced Analytics solutions, is pleased to announce that it is listed for its suite in the Gartner ‘Other Vendors to Consider for Modern BI and Analytics’ report published August 4, 2017.

CEO, Kartik Patel says, “We are honored to be included, once again, in the Gartner ‘Other Vendors to Consider for Modern BI and Analytics’ report. We recognize the importance of market innovation and evolution and we look forward to our continued involvement in this exciting market!”

The ElegantJ BI Smarten approach to Advanced Data Discovery, features Smart Visualization, Self-Serve Data Preparation and Plug n’ Play Predictive Analysis with features that include augmented data discovery, and other features and modules that provide sophisticated functionality and algorithms in an easy-to-use dashboard and environment that is designed to support business users, as well as data scientists and IT staff. Sophisticated, easy-to-use functionality like auto-suggestion and auto-recommendation allows business users to gain valuable insight and make confident decisions and predictions without advanced technical or analytical experience and knowledge.

“ElegantJ BI has developed a product and service roadmap to advance innovation and serve business users and organizations with tools that will grow and be flexible to the needs of the enterprise,” Patel says. “Our Smarten, self-serve approach to business intelligence and advanced analytics is designed to expand the boundaries of self-serve analytic, social BI and mobile access with dependable data governance and security.”

More information on the business intelligence and analytical solution market is available in the Gartner report: ‘Other Vendors to Consider for Modern BI and Analytics’, Published: 4 August 2017 ID: G00334448, Analyst(s): Rita L. Sallam, Cindi Howson, Carlie J. Idoine, James Laurence Richardson, Joao Tapadinhas, Thomas W. Oestreich, Shubhangi Vashisth.

Disclaimer: Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization, and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About ElegantJ BI

ElegantJ BI is the flagship BI & Advanced Data Discovery solution of Elegant MicroWeb, and an intelligent ‘Design once, Use anywhere’ adaptive UI engine for out-of-the-box roll out to transform business users into Citizen Data Scientists. ElegantJ BI has developed the Smarten approach to business intelligence which supports Advanced Data Discovery with Self-Serve Data Preparation, Smart Visualization and Plug n’ Play Predictive Analysis and a 100% browser-based foundation that enables Mobile BI, Social BI and rich KPI analytics. ElegantJ BI is used by large, medium and small businesses around the world, including Religare Securities, IPCA Laboratories, JMC Projects, Sharekhan, Raychem RPG and many other small and medium size businesses.

Read More: ElegantJ BI Solution Included in August 4, 2017 Gartner ‘Other Vendors to Consider for Modern BI and Analytics’ Report

Related Posts:

– ElegantJ BI Included in Gartner ‘Market Guide for Traditional Enterprise Reporting Platforms’, September 2017

– ElegantJ BI Solution Included in August 4, 2017 Gartner ‘Other Vendors to Consider for Modern BI and Analytics’ Report

– ElegantJ BI Included in Gartner Nov., 2016 Report, ‘Other Vendors to Consider for Modern BI and Analytics’

– Gartner Report, Competitive Landscape: BI Platforms and Analytics Software, Asia/Pacific Lists ElegantJ BI as Niche BI & Analytics Vendor

– ElegantJ BI Listed as a Representative Vendor in the Recent Gartner Market Guide for Enterprise-Reporting-Based Platforms

– ElegantJ BI in Gartner Market Guide and Magic Quadrant for BI – 2016

 

]]>
https://www.elegantjbi.com/blog/elegantjbi-solution-included-in-august-4-2017-gartner-other-vendors-to-consider-for-modern-bi-and-analytics-report.htm/feed/ 0
Data Preparation Tools Should be Self-Serve https://www.elegantjbi.com/blog/self-service-data-preparation-help-yourself.htm https://www.elegantjbi.com/blog/self-service-data-preparation-help-yourself.htm#comments Wed, 23 Aug 2017 14:01:56 +0000 https://www.elegantjbi.com/blog/?p=5025 Continued]]> Self Service Data Preparation! Help Yourself!Why is Self-Serve Data Preparation So Important?

What is self-serve data preparation? It isn’t a method of making up data. It is a method of preparing data that allows the average business user to compile and analyze data without the assistance of a data scientist or an IT professional.

In so many enterprises, the idea of bringing together data from varied data sources and actually making it accessible, clear and understandable is a foreign idea at best. But with data preparation tools that are easy enough for every user, your organization is free to get the job done, understand results, solve problems and plan for the future without employing the services of dozens of data scientists!

Data preparation software can be cumbersome and difficult to use, but it doesn’t have to be! A true self service data preparation tool gives your users the flexibility to determine what data they want to see, how they want to see data. They decide how they want to share and analyze that data, so the entire enterprise can work together, collaborate on solutions and capitalize on business opportunities with complete insight and a clear understanding of what the data means.

Don’t restrict what business users can do! IT enabled self-serve data preparation puts data in the hands of business users with sophisticated, easy-to-use tools to compile and prepare data, test hypotheses, perform visualization and create and share reports, and create custom alerts and other information.

That is just part of the Smarten approach to analytics! If you want to know more, contact us!

]]>
https://www.elegantjbi.com/blog/self-service-data-preparation-help-yourself.htm/feed/ 0
Take a Deep Dive Into Your Data! It’s Easy https://www.elegantjbi.com/blog/deep-dive-into-data-without-getting-wet.htm https://www.elegantjbi.com/blog/deep-dive-into-data-without-getting-wet.htm#comments Fri, 18 Aug 2017 13:55:17 +0000 https://www.elegantjbi.com/blog/?p=5016 Continued]]> Deep Dive Into Data Without Getting Wet!Deep Dive Into Data with Easy, Sophisticated Data Analytics Tools!

You don’t need scuba diving gear to get into deep dive analytics. What you need is BI analytics software, and visual analytics tools that are designed to meet the needs of every user. No organization can claim that every business user has the skill of a Data Scientist or an IT professional. But, no matter how ‘average’ the skills of your team are, you need to equip them with the right data analytics tools to allow them to leverage their professional knowledge and find the information they need to keep your business on track.

Deep dive analytics allows you to compare ad hoc time periods and analyze data with predefined options that allow you to view and analyze. You have the freedom to add data from other data sources to create a complete picture and you can use cross-tabs with filters and data operations to help you make decisions on the fly. In business, we don’t have the luxury of taking a week or a month to find, analyze and use information to make a decision. Why should your business intelligence analytics software force you to lag behind and miss opportunities or fail to address issues or challenges?

Deep dive analytics allows you to choose dimensions and metrics and drill into data the way you want. You can add columns and compare time periods, rank, filter, sort, change data operations and summary options and groups. You can do it all! And, the environment is easy enough for every business user so you are not restricting your organization by waiting for skilled resources to produce reports to perform analysis. If you want to truly understand your data and see it in a way that is clear and meaningful, you just need to find the right visual analytics tools!

Contact us to find out how deep dive analytics can help your organization achieve its goals!

]]>
https://www.elegantjbi.com/blog/deep-dive-into-data-without-getting-wet.htm/feed/ 0
Smart Visualization Paves the Way for the Right Decision https://www.elegantjbi.com/blog/smart-data-visualisation-helps-users-see-the-answer.htm https://www.elegantjbi.com/blog/smart-data-visualisation-helps-users-see-the-answer.htm#comments Fri, 18 Aug 2017 12:37:25 +0000 https://www.elegantjbi.com/blog/?p=5013 Continued]]> Smart Data Visualisation Helps Users SEE the Answer!Don’t Ask Users to Analyze BEFORE They Analyze! Use Smart Visualization!

Smart Data Visualisation is a smart choice for your organization. Not every user can anticipate the best way to display and analyze data. Not every user can gain enough insight into the data in advance to understand and recommend how best to visualize data to reveal problems, opportunities or results.

Smart visualization is the way to go! Don’t expect your users to analyze BEFORE they analyze. Take the shackles off your users with a dynamic tool for data visualization. Imagine if your users had a ‘guide’ to recommend the best way to present data and visualize that data to illustrate results and help define actions. Imagine if that guide could help a business user with data visualization by looking at the type of data, the volume of data, the dimensions and the patterns, trends and logical conclusions the data reveals.

If your data visualization tools could make those suggestions, your users would not have to analyze before they analyze! The guiding hand would allow users to gather and analyze data and move on to make decisions and take on the many tasks they must perform in the course of a day!

If you want to find about the Smarten approach to smart data visualisation, contact us today!

]]>
https://www.elegantjbi.com/blog/smart-data-visualisation-helps-users-see-the-answer.htm/feed/ 0
Social BI Results in Data Popularity AND ROI https://www.elegantjbi.com/blog/2017/08/17/august-17-2017/social-business-intelligence.htm https://www.elegantjbi.com/blog/2017/08/17/august-17-2017/social-business-intelligence.htm#comments Thu, 17 Aug 2017 11:37:49 +0000 https://www.elegantjbi.com/blog/?p=5010 Continued]]> Social BI Tools? Socialize Data Analysis and Improve ResultsSocial BI: Engenders Networking and Collaboration and Provides Many Benefits!

Have you heard of Social BI? If you haven’t, you should really look into it. Your business users are used to social networking and the sharing of data and information in their personal life and at work and business intelligence applications should not be an exception to this data sharing.

Social BI tools can benefit the business in ways you may not have considered. First, social business intelligence will make your users more productive and will help them to improve their skills and to become a better asset to the company. Organizations that embrace social business intelligence tools find that power users develop creative ways to marry and analyze data will share reports, formats and data analysis techniques with other users, thereby illustrating better ways to perform advanced analytics and offering other users a way to improve their skills. This sharing results in ‘data popularity’ and crosses the organization to improve results and increase collaboration.

But, there is another, perhaps less obvious, benefit to the organization and that is that the IT and analytical teams can begin to see patterns, trends and workflow within this data popularity and can better serve the business users and the enterprise by creating reports, formats and process flows that support the way users prefer to see and use data. This dynamic illustration of user preference and data flow enables the business to make better use of its data AND its users and provides a competitive advantage, improved productivity and better ROI and TCO for BI tools.

If you need this kind of integrated work process and data flow, you can find the right resources here: Social BI

]]>
https://www.elegantjbi.com/blog/2017/08/17/august-17-2017/social-business-intelligence.htm/feed/ 0
Why will data visualisation fade away? https://www.elegantjbi.com/blog/why-will-data-visualisation-fade-away.htm https://www.elegantjbi.com/blog/why-will-data-visualisation-fade-away.htm#comments Wed, 16 Aug 2017 14:33:24 +0000 https://www.elegantjbi.com/blog/?p=5007 Continued]]> Why will data visualisation fade away?Why do we need a graph? Me personally, have never needed a chart to check my sales data. I have used graphs to impress my seniors, who I am not sure if they get impressed with weak numbers presented in innovative graphs.

As the numbers get larger and inconsistent, a graphical display will help. I do not want to dilute your vision by giving an example, but the temptation is too high. – World population and comparison of per capita GDP and the number of people who are HIV positive on a 5.5-inch cell phone screen. Geo-mapping is the likely and the only way you see it at the moment. I agree that there is no other way. And I hope you can visualise some hypothetical data on a cell phone and sense how it will look with filters and options.

When I ask you the question, why are you looking at the graph? It is quite likely that your objectives are in three broad areas. One, compare how one country you are connected is doing in comparison with the others. Two, you want to see if the money you want to send or have sent is going into affected areas. Third, you are doing research. Research could be for selling product or service. Alternatively, there can be an educational objective.

Your eventual result or take away from the exercise is never graphical. In all possibility, it will be three lines which include text and data. Data may be in terms of adjectives or raw numbers.

Usually, if the takeaway is in more than three lines, there will be more analysis which is required.

I am limiting the discussion to a graphical analysis. A tabular report can be used to derive more analytics and drill down or drill through to make a detailed plan.

So what are we getting at? It is quite likely that you have a direct question you want to ask your data. Conventional funnel based click to filter model never permitted this direct question. So there was an unusual demand for graphics and not answers. Trends and not a prediction. Clusters and not absolute numbers.

Here is a question: Which is the best country to launch an HIV drug?

The question you may be asking, and which you will use the funnel based filtering is, which countries have the highest per capita income and high incidence of HIV positive people in absolute numbers.

On second thought, you add, closest to me to the above question.

Your answers will be three countries with some data in tabular form.

You could also see it on a full map on a desktop, but if you are using a smaller device, would you like to see the world map with three countries highlighted?

Similarly, if you are doing sales analysis which involves, geography, product groups, sales teams and marketing initiatives how many clicks and filters do you want on your cell phone? Or you would like to ask – Under which marketing campaign did sales peak and get one single line answer on your cell phone…

Smart Data Visualization has its power, and ElegantJ BI provides dazzling graphics.

For how long the graphical analytics will be necessary with a combination of predictive analytics with NLP and NLQ on the horizon is a question we are pondering.

We are headed for a Clickless Analytics world!

]]>
https://www.elegantjbi.com/blog/why-will-data-visualisation-fade-away.htm/feed/ 0
Smart Data Visualization: Simpler, Better, Clearer, Faster https://www.elegantjbi.com/blog/2017/08/16/august-16-2017/data-visualization-tools.htm https://www.elegantjbi.com/blog/2017/08/16/august-16-2017/data-visualization-tools.htm#comments Wed, 16 Aug 2017 11:58:53 +0000 https://www.elegantjbi.com/blog/?p=5004 Continued]]> Smart Data Visualization is Here and It is SIMPLE and CLEARSmart Visualization Tools: Analysis and Data Displays Made Simple (and Clear)

Smart Data Visualization! This concept seems alien to some people. Is it data that can read your mind and automatically display itself in a way that will help you understand? Is it a method you use to see data in a clear way; a technique you learn in a class? The answer is yes…and no.

Smart visualization is made possible by using advanced analytical tools and business intelligence solutions that are designed to use sophisticated analytical algorithms for analysis and offer data visualization that is easy to understand and use. To meet this objective, data visualization tools must allow your users to gather and display data in a way that will allow them to exploit the opportunities and identify the problems and to get to the ‘meat’ of the issues quickly and easily.

Smart visualization should include auto-recommend, and auto-suggest data displays to recommend displays, views, and plotting to explore the best possible value from underlying data. It should display and analyze data In a way that is useful to users and to their role, and it should provide clear, concise displays and options and formats to help users understand that data. It should also analyze, forecast and predict so that users can identify patterns and trends and get valuable insight.

In short, Smart Data Visualization goes beyond data display to suggest options for visualization and plotting for certain types of data, based on the nature, dimensions and trends inherent in the data, so users can leverage sophisticated tools in an easy-to-use, drag and drop interface, with no advanced skill requirement or technical knowledge.

If this sounds good to you, I would suggest that you start your journey to Smart Visualization here: Smart Data Visualization

]]>
https://www.elegantjbi.com/blog/2017/08/16/august-16-2017/data-visualization-tools.htm/feed/ 0
ElegantJ BI Announces Key OEM Partnership With Distribution Management Solutions Provider, Herald Logic https://www.elegantjbi.com/blog/elegantjbi-announces-key-oem-partnership-with-distribution-management-solutions-provider-herald-logic.htm https://www.elegantjbi.com/blog/elegantjbi-announces-key-oem-partnership-with-distribution-management-solutions-provider-herald-logic.htm#comments Fri, 11 Aug 2017 11:17:35 +0000 https://www.elegantjbi.com/blog/?p=5000 Continued]]> ElegantJ BI Announces Key OEM Partnership With Distribution Management Solutions Provider, Herald LogicElegantJ BI is pleased to announce an exciting partnership with Herald Logic Pvt. Ltd. Herald Logic specializes in technology-enabled distribution management solutions, delivered via its unique managed service cloud-hosted model. This partnership will benefit customers and stakeholders of both organizations and provide world-class integrated solutions. The ElegantJ BI business intelligence solution is powered by unique Managed Memory Computing and the Smarten approach to advanced data analytics. ElegantJ BI products have been listed in multiple Gartner reports.

Herald Logic offers Distribution Management solutions that straddle channel lifecycle, channel compensation and channel performance management. Its customers include well-renowned entities in banking, life and general insurance and non-banking finance companies in India. Powered by its robust proprietary technology platform, IntelliRADAR, the Herald Logic solution manages sales compensation payouts of $100 million and ~10 million transactions spanning ~500,000 sales staff and channel partners. Herald Logic was recently featured in the ’25 Most Promising Retail Solution Providers – 2017′ in Asia Pacific in the annual APAC CIO Outlook Magazine survey. Herald Logic is a recognized Advanced Tech Partners of Amazon AWS, and has developed specialized capabilities and competencies to seamlessly deliver high impact distribution management solutions, on the secure AWS Cloud.

ElegantJ BI provides deep dive analytics and dazzling visualization without the need for user-technical skills and offers a driving force in analytics around the world. ElegantJ BI takes pride in its partnerships with BFSI organizations.

Dr. Ram Ramdas, Founder and Chief Evangelist of Herald Logic, says, “The ElegantJ BI analytics solution and service offerings are a significant value addition to our core offering, and will make a real difference to our customers.”

Kartik Patel, the Founder and CEO of ElegantJ BI says, “Our mutually beneficial partnership with Herald Logic will serve the needs of the market with integrated products and services, combined with excellent customer service and innovation.”

Herald Logic will embed the ElegantJ BI product into its solution, thereby enabling integrated features and functionality. Clients will enjoy rapid ROI with built-in meta data, channel analytics dashboards and reports in an out-of-the-box solution. There is no need for a separate business intelligence solution or a lengthy implementation process.

“This partnership and embedded product offering will allow other ISVs and product companies to explore OEM partnerships with ElegantJ BI and to gain a competitive advantage and enhance the value of their services,” says Kartik Patel. “An OEM partner can now offer advanced analytics and business intelligence features, embedded within their product in a seamless environment without significant investment or development time, and with full technical and user support.”

The combined solution of ElegantJ BI and Herald Logic will enhance productivity, improve TCO, and increase customer satisfaction. This will soon be rolled out at one of the largest life insurance companies in India, followed by numerous other implementations in India and abroad.

About ElegantJ BI

ElegantJ BI is the flagship BI & Advanced Data Discovery solution of Elegant MicroWeb, and an intelligent ‘Design once, Use anywhere’ adaptive UI engine for out-of-the-box roll out to transform business users into Citizen Data Scientists. ElegantJ BI supports Advanced Data Discovery with Self-Serve Data Preparation, Smart Visualization and Plug n’ Play Predictive Analysis and a 100% browser-based foundation that enables Mobile BI, Social BI and rich KPI analytics. ElegantJ BI is listed as a Niche BI and Analytics Vendor in the Gartner Competitive Landscape: BI Platforms and Analytics Software, Asia/Pacific Report., and as a Representative Vendor in Gartner Market Guide for Enterprise-Reporting-Based Platforms, and in the Gartner ‘Other Vendors to Consider for Modern BI and Analytics’ report. ElegantJ BI is used by large, medium and small businesses around the world, including Religare Securities, IPCA Laboratories, JMC Projects, Sharekhan, Raychem RPG and many other small and medium size businesses.

Original Post: ElegantJ BI Announces Key OEM Partnership With Distribution Management Solutions Provider, Herald Logic

]]>
https://www.elegantjbi.com/blog/elegantjbi-announces-key-oem-partnership-with-distribution-management-solutions-provider-herald-logic.htm/feed/ 0
Clickless Analytics – Disambiguating George (Part 2 of ∞) https://www.elegantjbi.com/blog/clickless-analytics-disambiguating-george.htm https://www.elegantjbi.com/blog/clickless-analytics-disambiguating-george.htm#comments Thu, 10 Aug 2017 12:53:30 +0000 https://www.elegantjbi.com/blog/?p=4997 Continued]]> Clickless Analytics – Disambiguating George (Part 2 of ∞)Does not look like a technical heading? It is as serious as my other stuff. And I have forgiven the definition of technical for being ambiguous.

The problem for working in a Clickless world starts with the meaning as meant in the input. So, a simple phrase “come on George” Could mean multiple things. A classic problem which the bot engine developers are resolving by using patterns and machine learning. “Come on” said by a mother, boyfriend, boss, colleague, store keeper, the barista could mean entirely different things at different times depending on the previous sentences.

Ok. You have heard this before. But when it comes to analytics, this takes a different turn. Here the bigger problem is not “Come on”, but it is “George”. If you are designing natural language query for analytics, “come on George” would have George as your primary concern for disambiguation rather than “come on” which would be a key area to address. Why? In Analytics, the first step we have to get out of the way is that is George Town, Mr George Mason, George and Company or George Cream or Georges garage which is sprinkled all over your data.

But wait it is more than that!

The steps to choose the right “George” depends on where “George” is in the sentence and if George is alone or is with some other words.

If I differentiate between Machine Learning and Analytics Learning, in machine learning, the index or the data is being built on interaction and interpretation. In Analytics, it is rebuilt on each step when data is indexed or added from the source.

Analytics world comprises of Dimensions and Matrices. For Natural language query, we usually classify the structure as Dimensions, Dates and Time and Matrices. The classification is purely to differentiate the value under each and process them appropriately. We will discuss this more in the future articles on Clickless Analytics.

Before we go further, let us acknowledge and put in two lines of how difficult it is for someone to understand “Come on George” unless the previous few sentences have been contextualised. The statement on its own has no power without previous statements even if there is extensive data in the learning store. There are multiple levels of contexts, like from the environment – for example, it is a pizza store, or user data, like the age group and shopping habits on a general e-commerce site. But by and large, if there is no previous input the sentence will hang fire for a long time unless there is some more input.

On the other hand, “Come on George” can be the only input into the analytics engine, and it will be okay.

In the Analytics NLQ after we classify, tokenize and get the POS, our need to get the sentiment is minimal. Our need is to disambiguate each token and put it in the right context.

In our world of Clickless Analytics from Smarten, we start with “come” a verb, “on” a preposition and “George” a noun. You can have an exclamation mark after the phrase, but that will have a negligible impact than an operator like <. While in ML based architecture the exclamation mark could play a detrimental role. This we will discuss in another article.

Smarten next looks for dependencies based on our unique indexing and aggregation engine. So “Come”, other than it being a verb would result in a part of a product name if we are selling books, like a book called “City Come A-Walking”. “On” would be treated as a preposition. A preposition is dependent on the following noun, but in our engine, the noun could be anywhere.  “George” would be a customer name, salesman’s name and part of the city name Georgia in our indexing.

What does “come on George” mean in this dataset and what data should be displayed on executing this?

Yes, I am going to answer this. But like a real Author, I must keep you interested. We will be describing what is called the dependency engine in the coming article.

Why does one need a different NLQ engine in Analytics? The data changes!

In learning engines, data in the past along with the context are put in learning matrix. In this, the book with the title including the word “come” did not exist. The new data does. “George” joining the company this month as a salesman and “George Town” is his territory.

Now add one more complication to this. There is a dimension called City and a value called City. We will look at this too in the coming articles.

Debate on this is welcome since this the second part of the series of article.

Read more articles on “Clickless Analytics”:

Clickless Analytics – Augmented Analytics

Clickless Analytics, कुछ कुछ बोलता है {Part 1 of ∞}

Clickless Analytics

]]>
https://www.elegantjbi.com/blog/clickless-analytics-disambiguating-george.htm/feed/ 0
What is Augmented Analytics and Why Does it Matter? https://www.elegantjbi.com/blog/what-is-augmented-analytics-and-why-does-it-matter.htm https://www.elegantjbi.com/blog/what-is-augmented-analytics-and-why-does-it-matter.htm#comments Wed, 09 Aug 2017 12:25:13 +0000 https://www.elegantjbi.com/blog/?p=4994 Continued]]> What is Augmented Analytics and Why Does it Matter?If your role in business demands that you stay abreast of changes in business analytics, you are probably familiar with the term Smart Data Discovery. You may also have read the recent Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics’, Published 27 July 2017, by Rita L. Sallam, Cindi Howson, and Carlie J. Idoine, highlighting the importance and benefits of augmented analytics, augmented data preparation and augmented data discovery.

For those who are managing an analytical solution implementation, or trying to select a solution for business users, it is important to understand the terms and the features and function of these solutions so that you can select the appropriate solution for your users, your data analysts and your IT team.

So, let’s dive into the definitions first!

Smart Data Discovery goes beyond data monitoring to help business users discover subtle and important factors and identify issues and patterns within the data so the organization can identify challenges and capitalize on opportunities. These tools allow business users to leverage sophisticated analytical techniques without the assistance of technical professionals or analysts. Users can perform advanced analytics in an easy-to-use, drag and drop interface without knowledge of statistical analysis or algorithms. Smart Data Discovery tools should enable gathering, preparation, integration and analysis of data and allow users to share findings and apply strategic, operational and tactical activities and will suggest relationships, identifies patterns, suggests visualization techniques and formats, highlights trends and patterns and helps to forecast and predict results for planning activities.

Augmented Data Preparation empowers business users with access to meaningful data to test theories and hypotheses without the assistance of data scientists or IT staff. It allows users access to crucial data and Information and allows them to connect to various data sources (personal, external, cloud, and IT provisioned). Users can mash-up and integrate data in a single, uniform, interactive view and leverage auto-suggested relationships, JOINs, type casts, hierarchies and clean, reduce and clarify data so that it is easier to use and interpret, using integrated statistical algorithms like binning, clustering and regression for noise reduction and identification of trends and patterns. The ideal solution should balance agility with data governance to provide data quality and clear watermarks to identify the source of data.

Augmented Analytics automates data insight by utilizing machine learning and natural language to automate data preparation and enable data sharing. This advanced use, manipulation and presentation of data simplifies data to present clear results and provides access to sophisticated tools so business users can make day-to-day decisions with confidence. Users can go beyond opinion and bias to get real insight and act on data quickly and accurately.

Why is all of this important to your organization?

Here are a few reasons you should consider advanced analytics and augmented data preparation for your enterprise:

  • These solutions allow the data scientist and IT community to focus on strategic issues and special projects.
  • Accessible augmented analytics creates Citizen Data Scientists and improves accountability and empowerment.
  • Advances in smart data discovery and other sophisticated techniques and solutions can positively impact ROI and TCO.
  • These solutions produce better decisions, more accurate business predictions and measurable analysis of product and service offerings, pricing, financials, production and other aspects of business.
  • Augmented data preparation and related tools will improve user adoption, data popularity, social BI integration and data literacy.

It is not always easy to stay abreast of the terms, techniques and solutions in the analytics domain but it is well worth the effort. This market is changing rapidly with new tools and improvements introduced every year.

Whether you are an IT consultant, an in-house IT professional, a middle manager or a senior executive, it is important to monitor the progress of business analytics and the related technology. Every business needs to understand how these solutions can and will affect users, processes and workflow.

Giving your team the right tools, and a simple way to manage the overwhelming flow of data and information, is crucial to your business success and will make every team member an asset to your organization.

Original Post: What is Augmented Analytics and Why Does it Matter?

]]>
https://www.elegantjbi.com/blog/what-is-augmented-analytics-and-why-does-it-matter.htm/feed/ 0
Predictive Analytics on Small Data https://www.elegantjbi.com/blog/predictive-analytics-on-small-data.htm https://www.elegantjbi.com/blog/predictive-analytics-on-small-data.htm#comments Tue, 08 Aug 2017 11:00:15 +0000 https://www.elegantjbi.com/blog/?p=4991 Continued]]> Predictive Analytics on Small DataThis is a small note on small data. I hope it has a big impact. The common understanding of the world is that one should use predictive and prescriptive data on big data. A vast amount of data, classified and grouped, running analytics to predict what will be the next event that one or more elements of the group will take. Predictive analytics like this allows pushing of right products to e-commerce shoppers. I am sure you all have experienced this on the large e-commerce site and enjoyed it.

In the world or predictive and prescriptive analytics on small data for big impact, one needs to work hard on acquiring the small data and ensuring its validity. The power of processing now available at a scale never experienced before, some traditional methods which were given up due to the limitation of processing power can be revived now. So no new approaches here.

For the sake of this small note, we will take the electrical fittings segment like switches. If we want to predict how this market is moving, the only data you can pull from your ERP is the past sales of different types of switches in a hierarchy of geographical information.

Public data will allow one to get the regional demographics and the GDP. Also, one will be able to get a sense of public participation by election data and public initiatives.

Some data, like Government spending in the region, may or may not be available.

Now our problem is to predict, which price band of electrical switches is going to grow in the next three years if there is no disruptive change in technology.

So the first step is to get two or more products which have a visible connection with switches and have data published. This could be sales data of publicly listed companies, compiled data from companies who are in the business of selling data and finally the data provided as market size by your sales team.

With the above data, we have to create a polynomial equation which can stand the test of multiple variables. That sounds outrageously simple, and it is. We want to know the factors which we can multiply the company’s sales in currency, less or add a factor, be equal to an equation of three or more variables, say, production of paint, production of cement and per capita GDP. The only way we are going to get to this by trying a significant number of options. You may have 20 variables and all you have to try it again to match the perfect balance.

Now you have the computing power and Smarten – Advanced Data Discovery tools which can make a difference.

]]>
https://www.elegantjbi.com/blog/predictive-analytics-on-small-data.htm/feed/ 0
Clickless Analytics – Augmented Analytics https://www.elegantjbi.com/blog/clickless-analytics-augmented-analytics.htm https://www.elegantjbi.com/blog/clickless-analytics-augmented-analytics.htm#comments Fri, 04 Aug 2017 13:34:29 +0000 https://www.elegantjbi.com/blog/?p=4985 Continued]]> Clickless Analytics – Augmented AnalyticsGartner recently released a paper on Augmented Analytics which is described as “An approach that automates insights using machine learning, and natural-language generation.”

So as a gyani disseminating free gyan on the internet, I have chosen to write a few words on this.

This blog post of mine is an extremely biased and opinionated post. This is because any attempt to be fair and unbiased would not be thought provoking. We believe in clickless analytics and path to that includes learning and responding, predicting and suggesting, warning and solving. So, some of the points in this article may sound contrary to these but are not.

There are a few forms of viewing analytic which are taking the rounds, I want to address them briefly, and then I would love to get into more details.

An Unnecessary Story

I believe that nobody likes an unnecessary story. A narrative created from data which is normal without the context is a powerless narrative. The usually story like you walked 2% more than last month or your sales was up by 4% over the last quarter and 7% over the last month is as powerless as saying that the weather was warm on Sunday but it rained on Monday.

Data does not know the story. Your running data does not know about the weather and your work load. Your sales data does not know about GST and demonetization.

The result would be a misguiding narrative.

Even the regular business data which compares time periods is the least of the wonders from the analytics world.

One Graph too much

If your data to be viewed is not extremely large or extremely dispersed you do not need a graph. You may need a graph to just view large data, not analyse it.  In the world where big data is the word for the season, we are looking at small aggregated data for real decisions. Let us take an example.

The total number of Wallmart stores is 4672, the SKU each store handles hovers around 150 000, the revenue totals US$ 482 billion. The person who wants to see the data for all 4672 store will not like to see the data per SKU in a graph. The person who wants to see the moment in SKU would need not see the data of 4672 stores.

Let us visualize the growth over a period of 10 years in the graph. What will be the next analysis the person will go to from this graph?

Clickless Analytics – Augmented Analytics

For example, will someone be looking for root-cause analysis will the person jump to another graph from here?

While the data remains humungous, the analysis is always in combination and contexts. Charts which has come to epitomize the analytics industry are not exactly what the people may be striving for.

Here the alternatives, which we are suggesting in the clickless world. We will write in detail about them and hope this is what may be the classic definition of Augmented Analytics.

  1. Fact Responder – Gives you single of multiple facts (data) about a question
  2. Pattern Browser – Responds to the questions by examining the data patterns in different ways
  3. Inconsistency identifier – Identifies inconsistency in sub set of data
  4. Solution provider – Yes, which customer is the best to sell to in the coming month

We looked at some parts of these in our earlier article. We will look at in-depth fact checking using natural language in the following article. Keep an eye for the Clickless series.

Original Post: Clickless Analytics – Augmented Analytics

]]>
https://www.elegantjbi.com/blog/clickless-analytics-augmented-analytics.htm/feed/ 0
White Paper: Self-Serve Data Preparation Provides Significant Benefit to the Enterprise https://www.elegantjbi.com/blog/self-serve-data-preparation-provides-significant-benefit-to-the-enterprise.htm https://www.elegantjbi.com/blog/self-serve-data-preparation-provides-significant-benefit-to-the-enterprise.htm#comments Wed, 02 Aug 2017 14:18:08 +0000 https://www.elegantjbi.com/blog/?p=4981 Continued]]> By providing sophisticated analytical features and algorithms in an easy-to-use self-serve environment, the enterprise enables business users to perform data preparation and test theories and hypotheses and prototype on their own. Rather than preparing data at the central meta-data layer, and restricting what business users can do and see, IT enabled (rather than IT controlled), self-serve data preparation allows users to compile and prepare data and use that data in analytics to test hypotheses, perform visualization and create and share reports, and create custom alerts and other information. Business users can control the data elements, the volume and the timing.

download-whitepaper

]]>
https://www.elegantjbi.com/blog/self-serve-data-preparation-provides-significant-benefit-to-the-enterprise.htm/feed/ 0
Clickless Analytics, कुछ कुछ बोलता है {Part 1 of ∞} https://www.elegantjbi.com/blog/clickless-analytics-kuch-kuch-bolta-hain.htm https://www.elegantjbi.com/blog/clickless-analytics-kuch-kuch-bolta-hain.htm#comments Wed, 26 Jul 2017 12:46:26 +0000 https://www.elegantjbi.com/blog/?p=4976 Continued]]> Clickless Analytics, Kuch Kuch bolta HainI am going to be blatantly trumpeting of our products, its road map and its usage in this article, and you are likely to get more value out of this than a book on analytics. My guess is that you will read ahead since you are a sceptic.

Let us address what you may be thinking based on the title of this article. It is about bots, AI, machine learning or voice based search. It is about these in some ways, but it is more about your ERP, scores of users in your company, various tools for reporting or analytics and different requirements of data reports and analytics which inundate you.

While our product does much more, these series of articles will focus on small values you can extract out of analytics. Whether you are using a global platform or a customised software solution, Smarten will Smarten your business.

It is also about giving you insights into how this technology works so you get the full picture and it will also get our competitors excited.

So first the top view.

In any business, we look for Facts, problems and solutions. If you are looking for anything which does not get classified in these categories, you need not read further. Our capacity is limited to these three only.

Examples are the primary cause which restricts the scope of imagination, design and applications. I am going to list a few in any case. I urge you to expand these examples into various areas of your life and see how it can be effective. I could have written this in an abstract mode so that you would have hated me for a long time, but since I am up to selling you something, I will skip that.

Let us look at Fact checking:

  1. We pull a report on receivables, to check the amount due over a certain period
  2. We push multiple parameters into a form to check the credit limit of a customer
  3. We will want to know the sales in January last year for a client, and we will put out a sales report for that period from the system
  4. What is the stock level near expiry, will you pull a report?
  5. What is the stock of your fastest moving screwdriver in the Bhiwandi warehouse?
  6. What was the production of our sugar-free chocolate in last Diwali

Good, I hope you do not see the point as I am going to expand on this further while respecting your intelligence. Processing used for fact checking from your ERP or transaction database or CRM is a challenge which the Analytics community has not addressed. The first reason for that is that it does not involve analytics. Analytics has been evolved to drill or filter data. Third and the most important, analytics platform usually do not have data input forms for these types of queries.

A fact finder is also a blame fixer. I would have felt like a management guru if I wrote accountability assessment and source identification instead of “blame fixer”. My favourite example for this question which I have often used in my life: Who ordered that extra stock which gave me two sleepless nights.

In my personal life, I would like my fitness analytics to give more facts and speak them, and I have seen them balancing between analytics and fact reporting.

One of the key space the modern analytics platforms will create is the fact responder or fact list. These will be a list of one to five core facts! This will be the first one to fall into the genre – Kuch Kuch bolta Hain!

The next objective is to look for problems.

Our quest to search for what went wrong is insatiable! The customers who are paying late, the expense which a rotten apple inflates, the stock that is getting too old and so on and so forth.

I have personally never been or ever met a manager who is not looking for problems. The quest for finding problems stems from the need to mitigate a bigger problem or answer a question which was reported as a fact somewhere.

One way you can look for problems is by guesses. Filtering and drill down analytics in dashboards can help in this situation. If one chooses not to invest time in filtering and deep diving, a good idea is to give it to a data scientist and still better ideas is obviously to use our product. And believe you me, we will find the problems.

Let us look at our quest for problems. A problem will stem from a single of various facts. These facts can be a dimension or measure, if I may start using the familiar Business Intelligence terms.

Take the problem as high receivables…. nope, I do not like this issue, it plagues our entire nation, so let us take another issue, reasons for spike in overdue orders in a month.

The answer to this question cannot be a single fact, but a narrative which can be in graphs, tables or can be a paragraph of analysis. The underlining process is typical, and I will describe it here.

Just to emphasise the point, what is getting eliminated in this process is clicking and drilling or graphs, the set hierarchies and the predefined filters.

So, your query in the Clickless world will be, why are such high number of orders overdue in Last month? Will this require sophisticated analytics? And how will this work?

The process of answering queries to identify problems comprises of a few steps other than processing the natural language, and I will try to explain this with simplicity. The first step is determining the dimensions and measures which are around the root, in this case, the root is the “order”. There will be an insight into the data within the group of fields which get associated with an order. This step is common for both problems as well as solution queries.

For identifying the problem, we have to use a regular order book, and some historical data is necessary. Do you need ten years data for this? Just four years ago, I guess, the business was different, the currency was weak, you were younger and the competition weaker! So, for problem identification, three years data at the most will do the trick.

And no, patterns are matched not based on what happened at the same time in the previous year and was this repeated or is similar. The pattern matching past is in the past!

In our world, strewn with simplicity, we form mathematical equations which stand the test of data, recreate that equation to optimise so that we get an equation which proves consistently across a predetermined level of data. If you call optimising equations AI or machine learning, fine, please enjoy calling it that, I will call it optimising equations.

A standard equation must balance on two sides. Numerically. When it does not balance, we have to recycle till we get it right. As simple as that! We all know this, but we are used to fixed equations called business rules as there was no way one could try thousands on the fly due to limited computing power.

Do you want to get insulted with an example? I think some of you would like some guidance with your imagination, so here is a straightforward one.

  1. Pending orders = Average sales per month + Sales target for the coming month – All in volume, is the first equation that the system will auto generate based on simple data checking depending on what the delivery period is.
  2. System will show 5 months that are exception to this equation.
  3. The next dependency is “last month” which should limit the data for last 3 months.
  4. The customer and products are dependencies of the root order. So, a derivative analysis is customer, per product should balance for the exception months.

At this point, you can get a graph or tabular result for a customer and products where there was a spike which dropped the balance in the equation. The possible introduction of a new customer could be the cause or a spill over due to plant maintenance could have resulted in an inadequate dispatch in a month which is to be still caught up.

A sound system can create multiple equations which can have multiple constants and hold it for validation over multiple variables. This is an elementary example.

A Solution related query is reverse working as done as in the problem. Aha. I am glad you understood this. If you would like to know more, Smarten up. Talk to us. I am writing this with one single intention, to surprise you when you speak to our consultants.

We will continue this in the next article. Please feel free to ask questions. Please use your sense of humour. List your problems.

]]>
https://www.elegantjbi.com/blog/clickless-analytics-kuch-kuch-bolta-hain.htm/feed/ 0
Analytics for Retail Can Make You Competitive! https://www.elegantjbi.com/blog/business-intelligence-for-retail-makes-business-sing.htm https://www.elegantjbi.com/blog/business-intelligence-for-retail-makes-business-sing.htm#comments Fri, 21 Jul 2017 12:23:57 +0000 https://www.elegantjbi.com/blog/?p=4972 Continued]]> Business Intelligence for Retail Makes Business Sing!BI for Retail! No, Really! It is designed for Retail!

Business Intelligence for Retail is just what your organization needs to succeed! If you can get at the information, integrate the data coming in from all sources, and clarify and analyze, you can beat the competition! And we all know how competitive retail is these days! Whether you are running an online retail outlet or a brick and mortar store or chain, you need to analyze all kinds of data from resource planning, seasonality, products, sizes, colors, pricing and advertising to warehousing, shipping, social media and online shopping carts and eCommerce results, there is a lot to understand and monitor in retail!

A business intelligence solution that is designed out-of-the-box can help you hit the ground running. BI for Retail should be designed with domain knowledge and flexible dashboards for retail that will allow executives, managers and business users to have access to the most complete information and the ability to analyze results and drill down into critical issues and quickly analyze, present and report results to support decisions and adapt to the changing market.

The retail market is fickle, and market trends change rapidly. In this ever-changing environment, the retailer must have complete insight into how actual results compare to plan numbers, revenue by store, location, region, product line and other factors. The retail enterprise must carefully manage operational costs to be sure these costs are optimized. Hours of operation, resource allocation, hiring, training, facilities management and other factors that impact revenue and the bottom line.

If you want to give your business users and managers an easy-to-use, sophisticated reporting tool for retail with analytics for retail and out-of-the-box implementation and swift user adoption, contact us to find out more!

]]>
https://www.elegantjbi.com/blog/business-intelligence-for-retail-makes-business-sing.htm/feed/ 0
Predictive Analysis is Easy for Every User https://www.elegantjbi.com/blog/predictive-analytics-software-for-every-business-user.htm https://www.elegantjbi.com/blog/predictive-analytics-software-for-every-business-user.htm#comments Fri, 21 Jul 2017 10:15:38 +0000 https://www.elegantjbi.com/blog/?p=4969 Continued]]> Predictive Analytics Software for Every Business UserPlug Your Users In For Crucial Decisions with Plug n’ Play Predictive Analytics!

What did we do about planning and forecasting in the past? Well, a lot of what we did was based on guesswork. We might look at historical data and plan for growth that was unrealistic because it did not reflect the competitive market growth or the advent of online competition.

Predictive Analysis is necessary and in today’s rapidly moving market, you can’t possibly depend solely on data scientists or IT staff to provide you with the planning information you need. Predictive analysis tools should be part of any comprehensive analytical tool and they should be easy enough for every business user. Why? Because every team member must be able to plan if they are to be a true asset to the organization. Each team member must understand how the actions they take today and the goals they are trying to achieve are affecting the future of the organization and it must be clear to them when the plan has gone awry or when an opportunity presents itself.

Plug n’ Play Predictive Analytics is key to the equation! Business users need sophisticated, but easy-to-use tools so they can function as Citizen Data Scientists with full insight into forecasting, planning and predictions that will help your enterprise to achieve better accuracy and make business growth and competitive advantage a reality!

Find out more about the Smarten approach to analytics, or contact us to find out how Predictive Analytics Software can help you to spot trends and patterns and improve your planning process.

]]>
https://www.elegantjbi.com/blog/predictive-analytics-software-for-every-business-user.htm/feed/ 0
Do Citizen Data Scientists Mark the Death of Data Scientists? https://www.elegantjbi.com/blog/citizen-data-scientists-mark-the-death-of-data-scientists.htm https://www.elegantjbi.com/blog/citizen-data-scientists-mark-the-death-of-data-scientists.htm#comments Wed, 19 Jul 2017 02:25:42 +0000 https://www.elegantjbi.com/blog/?p=4966 Continued]]> Do Citizen Data Scientists Mark the Death of Data Scientists?To be successful in business, every organization must find a way to accurately forecast and predict the future of its market, and its internal operations, and better understand the buying behavior of its customers and prospects. With the democratization of business intelligence and the advent of self-serve business intelligence tools, organizations hope to encourage and create Citizen Data Scientists and enable the average business user to leverage sophisticated predictive algorithms and BI tools without the expertise and skill of a trained data scientist. This approach allows users who are not statisticians, data scientists, programmers or analysts to leverage self-service tools to confidently make business decisions, share data, and reports and present data in a way that allows the organization to identify trends, patterns, opportunities and challenges.

What could be wrong with that?

Well, some organizations and managers believe that the birth of Citizen Data Scientists means the death of real Data Scientists, and that belief often causes resistance to the democratization of business intelligence and discourages support for the Citizen Data Scientist approach.

Or

Perhaps the enterprise fears that citizen data scientists will derive the wrong conclusions or meaning from the data, and make a decision that will harm the business.

The transformation of business users into Citizen Data Scientists does not (and should not) strike a death knell for professional data scientists or in-depth analytical techniques. In order to truly understand and appreciate the Citizen Data Scientist approach one must consider how data is used within the organization.

For example, a business user might leverage Plug n’ Play Predictive analysis – Assisted Predictive Modeling, to analyze customer churn and find out which customers are likely to move away (churn) based on purchase patterns, demographics, geographic and other macro parameters. They can analyze customer acquisition and find out how a prospect or set of prospects can be converted to customers. They can recommend cross-sales opportunities and product promotions, and identify and recommend the best location for a warehouse, store or branch. In short, there is a lot a business user can do with deep dive analysis, plug n’ play predictive analysisself-serve data preparation and smart data visualization.

These types of self-serve business intelligence tasks and activities assure swift, accurate data preparation and analysis and clear, concise decisions.

This approach also allows the organization to properly leverage IT resources, analysts and data scientists and dedicate these professional resources to the real meat of analytics and sophisticated, complex projects.

Think of the Citizen Data Scientist as the Physician’s Assistant (PA) and the Data Scientist as the Physician. The Physician’s Assistant is able to perform many assessments and make recommendations to relieve the Physician from these tasks. But, when there is a need for a more complex assessment or recommendation, an opinion based on specific training and knowledge, or a need to further refine a PA’s decision, the Physician will consult and refine results, analysis, and recommendations.

If the organization needs to fine-tune or further explore an issue, a parameter, or a model, the Data Scientist is the ‘go to’ person. If there is a need for precision calculation, a unique algorithm application, analysis of selection bias, theory-driven methodology or other in-depth analysis, the organization would look to a data scientist.

If a citizen data scientist performs a hypothesis and prototype, the organization will benefit by the agility and timeliness of decisions so, while the business user cannot replace a data scientist, they can help the organization by bringing their domain expertise and the knowledge inherent in their role to the discussion they have with a data scientist. In so doing, the data scientist can review the results of the hypotheses and prototype and fine-tune the results to provide more comprehensive, more exacting data to the organization.

There are many situations and instances where a finite calculation or a detailed, comprehensive analytical approach is unnecessary and in this case, the time and effort expended by a Data Scientist would be considered overkill. However, that is not an excuse for sloppy, inaccurate analysis, nor does it forgive inappropriate conclusions drawn and developed by bad tools or resulting from lack of access to good business intelligence solutions and self-serve data analysis and formatting.

The fact is that in every enterprise, there is a place and a time for Citizen Data Scientists and a place and time for trained Data Scientists.

One need not look at this issue as a choice between the two. Rather, your organization should consider the benefits inherent in both and develop policies and procedures that allow business users to leverage these self-serve tools and to access and involve data scientists as appropriate to the analytical task. In the meantime, by providing these tools to your business users on a daily basis, your organization will benefit from a more cost-effective, quicker, more accurate use and analysis of data and you will optimize your team and resources.

Original Post: Do Citizen Data Scientists Mark the Death of Data Scientists?

]]>
https://www.elegantjbi.com/blog/citizen-data-scientists-mark-the-death-of-data-scientists.htm/feed/ 0
Give Users Fresh, NOT Packaged Data! https://www.elegantjbi.com/blog/2017/07/17/july-17-2017/fresh-vs-packaged-data.htm https://www.elegantjbi.com/blog/2017/07/17/july-17-2017/fresh-vs-packaged-data.htm#comments Mon, 17 Jul 2017 12:41:30 +0000 https://www.elegantjbi.com/blog/?p=4963 Continued]]> Fresh vs. Packaged Data? No ContestFresh Business Intelligence Data is Key to Confident Decisions.

Here’s what I know about Business Intelligence: Old or incomplete information does not constitute intelligence – what it does is to result in decisions that are sometimes wrong and nearly always misleading. When we provide a business intelligence tool that ties the hands of business users; when we give business users tools and dashboards that are designed by IT or analysts and assume comprehensive knowledge of user needs, we give our business users the wrong kind of tools!

What your business users need is mobile business intelligence with fresh data – data that they can gather, organize and analyze with drill down, drill through and format options that will give them what they need to uncover the root cause of issues, capitalize on opportunities and discover nuggets of information that reveal patterns and trends. Users need tools they can use in a way that is meaningful to them with mobile BI dashboards and reports that can be shared. Users need social business intelligence dashboards that allow the analytical skills and understanding of business users to grow by virtue of the popularity of data and the power users who leverage great business intelligence tools to analyze data in creative ways.

While data governance and data access are valid concerns, the organization that chooses a flexible, multi-layered business intelligence tool can provide its users with a business intelligence solution that allows for integrated data that is fresh and clear and will allow for the day-to-day decisions required of every team member in the organization. Packaged data access cannot possibly anticipate and accommodate every need a business user has, nor can it provide comprehensive support for business objectives and strategies.

If you need the kind of mobile BI dashboard that can provide this support, you can start here: Mobile BI Dashboards

]]>
https://www.elegantjbi.com/blog/2017/07/17/july-17-2017/fresh-vs-packaged-data.htm/feed/ 0
Predictive Analysis for Rasiklal! https://www.elegantjbi.com/blog/predictive-analysis-for-rasiklal.htm https://www.elegantjbi.com/blog/predictive-analysis-for-rasiklal.htm#comments Wed, 12 Jul 2017 10:16:50 +0000 https://www.elegantjbi.com/blog/?p=4957 Continued]]> Predictive Analysis for Rasiklal!The simplest, easiest and spreadsheetble (I just invented this word) information which can be used for predictive and forecasting is defined data over a period. For example, date or time driven patterns which keep repeating till the cows come home. We will not discuss this here and hope you are relieved of some scepticism about this article at this stage.

Now, if you are a large e-commerce site or a banking or credit card company you would have more complex data. And the good news is I am not going to address this complexity as you would have heard more about this then the cows who are returning home. Yes, we all know that the e-commerce sites are so fascinatingly fast that they predict what exactly you are going to look for next. If they are so smart good for you. If they are learning, still good for you.

Ramshankar Sharma is selling buckets in the wholesale plastic market, Kishanlal Pandey a manufacturer of plastic storage items for home use, and Rasiklal Shah is a man committed to selling nuts and bolts. These guys matter as the pillars of Indian GDP, what are they going to do about Predictive Analytics?

Analysts could write 20 pages on this. Someone could write a book. I am going to attempt two paragraphs.

1. Associating the known and accurate data: To run accurate predictive analysis, one would need base data which is accurate and pristine. Your internal data, from your ERP or accounting system, is one such source. The other is officially reported data for manufacturing, petroleum, compiled balance sheets of public companies for an industrial sector and in some cases macroeconomic data. This data is sold by many companies in the business of selling data and is also publicly available at times.

For example, if you know your business is connected to the rainfall (monsoon) before you get into predicting rainfall one should understand the correct relationship between your sales and rains. With your region wide sales data and regional rains connected with timeline, if you can build a proper model to incorporate your stock and team strength along with marketing spends, you have something going. The Met department can be a bit off in predicting the rain, but you will in getting your sales right. Similarly, if you are in the business of selling decorative paints, there will be a relation to connecting it with cement sales. Get this one with other variables right, and you have got past the first step.

2. Once you have the model, you are going to do some very simple things. So simple, that we have a full industry devoted to it. Predict! The software industry and our products are ready for this.

a. Where do I need to focus?
b. Which customer will buy more and who should I focus on?
c. Where do I need to augment my sales team?
d. Which regions will sell more?
e. Which dealers should we focus on?

You have successfully managed this predictive with our gut feeling, your relationships, newspapers and sales reports. Now you can try this with data.

Without attempting to insult your intelligence, I will give an example. For those who have figured out what this is about, you can leave this web page or put your email in the box below if you want me to implement this predictive analysis.

But here is an example how you used to do it with your gut and newspaper. Due to heavy flooding in Assam, there will be more construction. But, people in Assam are not so rich. The government is unlikely to spend. Let us focus on organic growth in Gujarat.

Here is how data will show, sales of cement spiked in Assam 2 months after floods; which drove both your dealer’s performance twice the normal and you did not have a sales person there. And the only reason it was limited was that there was no warehouse there nor was there stock in your Kolkata warehouse.

Predictive analytics will give you a list of dealers with who you the best opportunity to make big sales.

]]>
https://www.elegantjbi.com/blog/predictive-analysis-for-rasiklal.htm/feed/ 0
Quality is Important! Agility is Necessity! https://www.elegantjbi.com/blog/2017/07/11/July-11-2017/self-serve-data-prep.htm https://www.elegantjbi.com/blog/2017/07/11/July-11-2017/self-serve-data-prep.htm#comments Tue, 11 Jul 2017 09:30:13 +0000 https://www.elegantjbi.com/blog/?p=4954 Continued]]> Agility vs. Quality: A Tightrope Act of AnalyticsAgility and Quality: A Vital Balancing Act!

This might be a strange comparison but let me make it anyway! Think of data agility and data quality like a tight rope act. The tightrope walker is thinking about getting to the other side without falling. The audience wants to see grace and beauty during the process. They want to see a QUALITY act. In the case of the tightrope walker and the audience, they sometimes have very different goals.

In data preparation, an organization may think of data preparation and data analysis as something that must always be of the highest quality – NO negotiation. Always agility and always, top quality. But, in fact, data analysis within an organization may be looked at from a different perspective.

Back to the tightrope walker: Sometimes a tightrope walker’s ONLY job is to get to the other side quickly and with agility. Perhaps he or she was employed to deliver a package or an item to someone on the other side of a chasm. In that case, agility and speed are the only things the tightrope walker must consider.

Likewise, with data preparation! Self-Serve Data Preparation for business users is a great data preparation tool! It allows business users to gather and perform advanced analytics on a daily basis to make the kind of decisions we must all make in business every day. As and when the organization requires exacting data quality and information with which to make strategic judgments or decisions, an analyst or an IT professional can jump in and provide sophisticated analysis to augment or confirm the analysis done by business users or to provide special reports to executive teams.

SO…think of your business users as tightrope walkers and give them the tools they need to perform self-serve data preparation quickly and with agility and to get to the other side of the chasm to deliver and share that data. When it is SHOW TIME, you can call in the experts and put THEM in the spotlight to deliver the quality you need!

If you want to support your users with self-serve data preparation tools.

]]>
https://www.elegantjbi.com/blog/2017/07/11/July-11-2017/self-serve-data-prep.htm/feed/ 0
Multidimensional KPI: Measurement for Success https://www.elegantjbi.com/blog/kpi-analytics-help-you-get-it-right.htm https://www.elegantjbi.com/blog/kpi-analytics-help-you-get-it-right.htm#comments Fri, 07 Jul 2017 12:57:14 +0000 https://www.elegantjbi.com/blog/?p=4951 Continued]]> KPI Analytics Help You Get it Right!KPI Tools: Measure, Monitor and THEN Decide!

A decade ago, your team could afford to raise an eyebrow at the term KPI analytics and perhaps even suggest that if your business wasn’t in a scientific or financial industry, you didn’t really need KPI software. But, today the world is different! Every business, no matter how large or small is challenged to manage and monitor its business in an objective manner using metrics and measurements that provide insight into the achievements and challenges and lead the team to draw appropriate, proven conclusions.

It is easier to guess at pricing, new product ideas, competitive strategies and marketing activities but it isn’t realistic. A comprehensive, multidimensional KPI tool can give you real, accurate, detailed information with which to make decisions and it can help you change direction or build on your success by point to the root cause of issues and providing objective metrics for tasks, activities, strategies and market direction.

With the right KPI dashboard, your users can leverage a powerful expression engine and set polarity, frequency, and threshold levels using a browser based interface, and monitor KPIs at the individual, team, department, division and company level. Key Performance Indicator Analytics provide interactive options to change frequencies, dimension breakdowns and drill down to further analyze trends, and reasons for performance results.

Contact us to find out how key performance indicator software can help you measure and understand your results and improve your bottom line.

]]>
https://www.elegantjbi.com/blog/kpi-analytics-help-you-get-it-right.htm/feed/ 0
Data Discovery Tools Are Crucial Tools for Business Users https://www.elegantjbi.com/blog/optimize-with-smart-visualization-and-data-discovery-tools.htm https://www.elegantjbi.com/blog/optimize-with-smart-visualization-and-data-discovery-tools.htm#comments Mon, 03 Jul 2017 13:50:34 +0000 https://www.elegantjbi.com/blog/?p=4947 Continued]]> Optimize with Smart Visualization & Data Discovery ToolsAdvanced Analytics Software and Smart Visualization Empowers Business Users.

Advanced Analytics Software, Data Discovery Tools and Smart Visualization can improve your planning and forecasting process, and empower your organization. The Smarten Business Intelligence environment provides advanced analytics tools that are simple enough for business users and sophisticated enough to mash-up and manage data for optimal analysis, and flexible reporting.

Data visualization transforms business users into Citizen Data Scientists. Traditional data visualization is static and, while it offers a choice of displays, it is not interactive. Smart Visualization allows users to select and display data and assures accurate interpretation with no need for in-depth training.

The Smarten approach to smart visualization and data discovery tools is the foundation of the ElegantJ BI solution and its innovative approach to self-serve BI tools. ElegantJ BI has been recognized and listed in numerous Gartner market guides and reports.

Find out more about the Smarten approach to analytics, and how it can support your business users with clear, concise analytics and reporting. Contact us to find out more!

Original Post: Optimize with Smart Visualization & Data Discovery Tools

]]>
https://www.elegantjbi.com/blog/optimize-with-smart-visualization-and-data-discovery-tools.htm/feed/ 0
Citizen Data Scientists? Yay or Nay? https://www.elegantjbi.com/blog/citizen-data-scientists-yay-or-nay.htm https://www.elegantjbi.com/blog/citizen-data-scientists-yay-or-nay.htm#comments Mon, 03 Jul 2017 10:34:11 +0000 https://www.elegantjbi.com/blog/?p=4944 Continued]]> Citizen Data Scientists? Yay or Nay?It seems that everyone today is talking about Citizen Data Scientists. For some organizations the concept is perhaps frightening. The term may conjure up images of novices trying to do the work of someone with years of training and failing miserably in the process. For others, the image may be of an organization run amuck with business users leveraging sophisticated advanced analytics tools to create and share data that may be misinterpreted or distributed improperly.

So, why is everyone so excited about the concept of Citizen Data Scientists? It’s simple! When an enterprise selects a self-serve business intelligence solution with Advanced Data DiscoverySmart Data VisualizationPlug n’ Play Predictive Analysis and Self-Serve Data Preparation, it can create an environment where business users are empowered and become greater assets to the organization. It can also improve its time to market and competitive advantage, its ROI and its TCO. But, perhaps the most important aspect of the Citizen Data Scientist approach is the democratization of advanced analytics within the organization and the resulting agility and ‘smartness’ in the organization.

Each of your business users has a different skill and a different responsibility. Each of them brings a different perspective and domain expertise to their work and each has the potential to find and leverage opportunities and to solve problems in a unique way – based on their knowledge, their role and the goals and objectives you have set for them and for your organization.

The problem with traditional business intelligence solutions is that they are often too complex or restrictive to allow business user access. These solutions require programmer intervention or the assistance of a data scientist or analyst. So, if a business users wants to find and analyze data, that user must depend on others to understand the user’s needs, gather the data and create the report. By the time the user receives the report, the data may be outdated or it may be presented in a way that makes it difficult to interpret and use. The user may or may not be able to share this data with others in an easy way, and that will limit collaboration, empowerment and creativity.

It is important to note that the concept of citizen data scientists is not only about preparing data and creating reports or dashboards. Most importantly, it is about providing tools and insight that will help business users to identify trends, and patterns, and apply predictive algorithms to discover an association, clustering and classification and uncover crucial nuggets of information that will help the organization to achieve a competitive advantage.

The simple truth is that when business users become Citizen Data Scientists, each of them can add more value and benefit to the organization.

  • Advanced Data Discovery allows business users to perform early prototyping and to test hypothesis without the skills of a data scientist.
  • Tools like plug n’ play predictive analysis and smart data visualization ensure data democratization and drastically reduce the time and cost of analysis and experimentation.
  • With the right tools for Assisted Predictive Modeling, business users can compile and analyze data and test theories and prototypes to support dynamic decisions and planning on their own.
  • Your organization can create a different approach to data access, dependability, mobility, and the user experience to allow a clearer focus on the business bottom line.
  • Advanced Data Discovery allows business users to quickly and easily prepare and analyze data and visualize and explore data, notate and highlight data, share data with others and identify the important ‘nuggets’, buried in traditional data, and to connect the dots, find exceptions, identify patterns and trends and better predict results.
  • Business users with average skills can do all of this without specialized skills, knowledge of statistical analysis or support from IT or professional data scientists.

By providing your business users with sophisticated tools in an easy-to-use environment, you ensure the clarity and accuracy of data, reports and decisions. Citizen Data Scientists do not create chaos. Instead, if an enterprise transforms its business users into Citizen Data Scientists, it can rest assured that the access, and distribution of data is governed and shared appropriately and that the business intelligence solution will do the heavy lifting when it comes to drawing conclusions. When users gather information for smart data visualization, they can receive recommendations and options to present the data in a way that ensures appropriate interpretation. In addition to processing and analyzing the data, features like plug n’ play predictive analysis and self-serve data preparation are designed for flexibility to satisfy user needs, and assure accuracy and clarity.

By leveraging these tools, your organization can create empowered, productive Citizen Data Scientists and a business environment that enables rapid resolution of problems, capitalizes on opportunities and identifies trends, patterns and allows for accurate forecasting and planning – and all without hiring a team of data scientists!

Original Post: Citizen Data Scientists? Yay or Nay?

]]>
https://www.elegantjbi.com/blog/citizen-data-scientists-yay-or-nay.htm/feed/ 0
BI Analytics Tools and Visual Analytics Software https://www.elegantjbi.com/blog/explore-deep-dive-analytics-and-data-analytics-tools.htm https://www.elegantjbi.com/blog/explore-deep-dive-analytics-and-data-analytics-tools.htm#comments Mon, 26 Jun 2017 10:48:34 +0000 https://www.elegantjbi.com/blog/?p=4941 Continued]]> Explore Deep Dive Analytics and Data Analytics ToolsDeep Dive Analytics and Data Analytics Tools Provide Clarity and Direction

If you are looking at a BI tool, it is important to review of the deep dive analytics tools in the solution you consider. BI Analytics tools are not all the same. Your business intelligence initiative will not be successful unless you provide sophisticated data analytics tools in an easy-to-use interface. Don’t miss out on the user empowerment and accountability opportunities that come with a true self-serve, advanced data discovery solution.

Advanced Data Discovery allows you to quickly and easily prepare and analyze data and visualize and explore, notate and highlight and share data. Use Advanced Data Discovery to identify the important ‘nuggets’, hidden in traditional data, and to find exceptions, identify patterns and trends and better predict results.

Deep Dive Analytics allows users to filter and drill through data to get the information they need. For example, if you want to find out why a particular branch is not performing you need to gather data (expenses, sales, salaries, customer analytics, and profitability). If you can filter, drill down, drill up, and perform similar operations, you can find the answers you need.

If you want to explore the advantages of the Smarten approach to data analytics tools, we encourage you to contact us now.

]]>
https://www.elegantjbi.com/blog/explore-deep-dive-analytics-and-data-analytics-tools.htm/feed/ 0
Democratise Analytics, Reach All cost effectively https://www.elegantjbi.com/blog/analytics-har-hath-main.htm https://www.elegantjbi.com/blog/analytics-har-hath-main.htm#comments Wed, 21 Jun 2017 11:21:29 +0000 https://www.elegantjbi.com/blog/?p=4930 Continued]]> Analytics हर हाथ में, जवाब सब के पास में!

Analytics हर हाथ में, जवाब सब के पास में!

If you are living in India, and since you are reading this and it is very likely you are, the possibility you said: so what? You have worked in multinationals operating in India, Indian multinationals, Nationalised corporations or corporations which are the property of the nation and never, never have you found Analytics हर हाथ में.

Yes, and that is the reason we write about it.

Most organisations have implemented analytics or business intelligence solutions when they were replacing a reporting solution. When you want to put the analytics in the hand of each user and allow them to use data for taking decisions the challenge is challenging!

The first question is who is making what decisions. The question closely follows is, does this decision maker have the clearance to see all the data to support taking this decision.

As we move decision making to the front desk, these two questions are of paramount importance. These are exactly the type of issues which limit the democratisation of analytics.

I would not like to dilute your thoughts by giving an example, but invite you to visualise a warehouse manager trying to make a proposal for more space without knowing the cost of goods, logistics or sales points. I cannot resist giving another example, making a pricing proposal to a senior manager for approval without being able to see how it will impact the total team profitability.

No, I am not saying that make everything transparent, but if we want to reduce the lag and loss due to protracted and unagile decision making, we all have to find a way to get our analytics right.

While analytics is used for many things from descriptive, monitoring, predictive, diagnostic to prescriptive analytics, for putting Analytics in हर हाथ, the usual objective is monitoring and effective decision making.

Monitoring is simple, necessary and effective.

Make an investment in monitoring your fitness. Ensure that you have the device which collects proper data, calculates correctly, and displays, current, past and expected performance to reach your goal in kcal used, or steps walked or hours of activity. You, I am sure are very fit, but there is an entire industry which has evolved based on this simple analytics, and it is highly effective. Sales numbers over three years in this fitness band industry are a sure indicator of product giving results, which means people are getting fit. Gartner has predicted that by 2020 40% of employees in an organisation can cut their healthcare cost by wearing a fitness tracker.

Everyone, and let us not confuse this term “everyone” with “someone”, needs analytics in their hands for accessing, monitoring, planning, so that they can act! This is 2001 stuff! If you are not here already, please speak to your friendly neighbourhood System Integrator or send me an email so that I can get some business out of penning this article.

The second challenge needs innovation, democratising decision making while securing core data. I will use an example and let you extrapolate and extranovate (Extrapolation by innovation = extranovate, in this business it always easy to invent words. Webster?) I used to work for a very large Indian company which is a leader in its market segment. As the head of sales, I received many pricing proposals which I evaluated, looked at the cost, looked at the impact on business, made a proposal if it was out of my authorised limit and eventually took a decision. This kept a lot of people busy and some mediocre people important in the organisation. The management then invented a system; I will call the system, Manage by Exception and Ratios.

Manage by exception is a common practice. Anything which does not follow the norm needs to be highlighted to the next level of authority. Simple. Review exceptions which have not been addressed and take corrective action.

Management by ratios is inventing ratios which can be used for taking a decision without exposing the complete raw data. For decision making and setting profitability target, a ratio called DCNR was used, Direct Cost to Net Realisation. There was a target for this ratio which could be shared transparently down the sales hierarchy. So without the need of knowing the detailed costing, we could quickly look at the current DCNR, estimate the impact of the decision and choose. There are many standard KPI which can help, but a bit of thinking will give you ratios which will put decision-making in the hands of the front desk.

Finally, let me touch the question which is shouting at the back of your mind. There are cost-effective business intelligence solutions from India being used by top banks and corporations. So if there is a lingering question in the background, what about the cost? Trust me; this has been resolved for some time now.

I truly believe that there is a great impact on profitability and effectiveness with Analytics. Analytics हर हाथ में, जवाब सब के पास में!

And Yes, anyone can respond to your queries anytime, sales teams can conduct sales meeting in CCD and warehouse manager and CEO can see the same data to resolve a query!

]]>
https://www.elegantjbi.com/blog/analytics-har-hath-main.htm/feed/ 0
Gartner BI & Analytics Summit, Mumbai, 2017: My Take https://www.elegantjbi.com/blog/gartner-bi-analytics-summit-mumbai-2017.htm https://www.elegantjbi.com/blog/gartner-bi-analytics-summit-mumbai-2017.htm#comments Fri, 16 Jun 2017 12:29:55 +0000 https://www.elegantjbi.com/blog/?p=4925 Continued]]> Gartner BI & Analytics Summit, Mumbai, 2017: My TakeOn June 6 and 7, 2017, I had the pleasure of attending and participating in the Gartner Business Intelligence, Analytics and Information Management Summit in Powai, Mumbai, India. The 2017 Summit was larger and even more productive than the Summit of 2016, with more than 650 delegates in attendance. The theme for 2017 was Information & Analytics Leadership: Empowering People with Trusted Data.

The 2017 Gartner Summit was the third event I attended and it was impeccably organized and run, with great sound and lighting and informative, exciting presentations. The food and drink was excellent and, as usual, we all ate more than we should! Healthy options are always appreciated and I would encourage the Gartner team to add to the choices for the 2018 Summit.

There were some extremely interesting discussions and tracks with relevant case studies and examination of trends, including the trend toward Citizen Data Scientists, and how machine learning will change business decisions in the future. Other discussions included a track on blockchain and iOT. I would like to see more India-specific content and case studies featured in upcoming Summits.

The ElegantJ BI team was honored to be a Silver Sponsor for this Summit and our team members found the event to be a vibrant, informative and exciting experience.

While at the Summit, I attended some very informative tracks by Gartner analysts:

  • Opening Keynote Session with Ted Friedman and Rita Sallam: This session focused on Leading in the Age of Infinite Possibilities.
  • Cloud BI: Path to Agility or Destined for Disaster? Led by Alys Woodward
  • Connection vs. Collection: The Future of Data Management with Ted Friedman
  • To the Point: Convergence of Services and Analytics Is on Its Way — Take Advantage of It! with Jorgen Heizenberg
  • Magic Quadrant: BI & Analytics, Data Science and BI & Analytics Service Providers with Ian Bertram, Rita Sallam, Carlie Idoine, Rick Greenwald, and Jorgen Heizenberg
  • To the Point: New Data and Analytics Initiatives Demand Modern Pricing Models and Sound Negotiation Strategies led by Ehtisham Zaidi
  • Embracing Predictive and Prescriptive Analytics led by Carlie Idoine
  • Hadoop and Spark: Understanding Open-Source Opportunities and Risks with Rick Greenwald
  • Blockchain: Separating the Magic From the Reality for Data and Analytics with Ted Friedman
  • The Closing Session Keynote on digital transformation by Partha Iyengar

The Summit offered many other opportunities for professional interaction but, unfortunately, there wasn’t time to partake of them all!

I did have the chance for one-on-one interaction with Gartner analysts, Rita Sallam and Alys Woodward and, as always, these sessions were insightful and very helpful.

ElegantJ BI booth at Gartner BI & Analytics Summit, Mumbai, 2017

The ElegantJ BI booth was REALLY BUSY. We greeted customers, stakeholders, and partners and provided an update on business. Our team offered demonstrations of the ElegantJ BI solution at the booth and I am happy to say that our demos were very well received.

I want to thank those who visited our booth. We had a great response, especially with our Smarten Advanced Data Discovery with self serve data prep, smart visualization and plug n’ play predictive analytics. In fact, self-serve data prep and the transformation from business users to citizen data scientists were common threads of discussion among the varied Gartner Summit sessions, and the tracks and tutorials delivered by the analysts.

The response at our booth coupled with the recurring theme of self-serve data prep and assisted predictive modeling for business users throughout the Summit highlighted our solid product and strategic direction.

About Kartik Patel

Kartik is the founder and CEO of Elegant MicroWeb, specializing in software services and products. For two decades, Elegant MicroWeb has provided a full suite of innovative offshore technology services, serving clients worldwide, with sustained business partnerships. The flagship ElegantJ BI business intelligence solution offers a Smarten approach to BI, with Plug n’ Play Predictive Analysis, Self-Serve Data Preparation and Smart Data Visualization. ElegantJ BI was listed as a Representative Vendor in the ‘Gartner Market Guide for Enterprise-Reporting-Based Platforms’, as an Other Relevant Vendor in the Gartner MQ for Business Intelligence and Analytics Platforms, as a Niche BI and Analytics Vendor for the Gartner Report, Competitive Landscape: BI Platforms and Analytics Software Asia/Pacific and a Listed Vendor for Other Vendors to Consider for Modern BI and Analytics, Gartner Report.

Original Post: Gartner BI & Analytics Summit, Mumbai, 2017: My Take

]]>
https://www.elegantjbi.com/blog/gartner-bi-analytics-summit-mumbai-2017.htm/feed/ 0
Data Democracy = Business Benefit https://www.elegantjbi.com/blog/2017/06/14/june-14-2017/data-democratization.htm https://www.elegantjbi.com/blog/2017/06/14/june-14-2017/data-democratization.htm#comments Wed, 14 Jun 2017 06:17:43 +0000 https://www.elegantjbi.com/blog/?p=4920 Continued]]> Self-Serve Data Prep and Data Democracy: Good for All!Data Democracy Benefits the Enterprise

I vote for Data Democracy. Why? Because data belongs to everyone in your organization and if you can find a way to provide data democratization, and provide your business users with mobile BI tools, self-serve business intelligence, social BI tools and self-service data prep, your organization WILL reap the benefits.

Data democracy is not an entirely altruistic idea! It helps the enterprise and the business user. If you can give meaningful BI tools and self-serve BI to your users, you can empower them and hold them accountable. You can plan better and more effectively meet your objectives and goals. You can spot trends and patterns and make more timely decisions. You can ensure that your executive team, managers and business users are all on the same page AND you can help your team members understand how their efforts contribute to the bottom line and when and how they need to change course, capitalize on opportunities or address challenges to become a better asset to the organization.

As a component of data democratization, social BI can also help your organization by allowing users to share data and reports and allowing the enterprise to identify power users and capitalize on data popularity by understanding how data is used and viewed among users and what data is most useful to the team and to the enterprise.

So, now you know how and why data democratization and self-serve BI tools can help your organization and your users. If you need help getting there, contact the experts. Self-Serve Data Prep and Data Democracy

]]>
https://www.elegantjbi.com/blog/2017/06/14/june-14-2017/data-democratization.htm/feed/ 0
Whose job is it anyway? https://www.elegantjbi.com/blog/whose-job-is-it-anyway.htm https://www.elegantjbi.com/blog/whose-job-is-it-anyway.htm#comments Tue, 13 Jun 2017 10:10:16 +0000 https://www.elegantjbi.com/blog/?p=4914 Continued]]> Whose job is it anyway?There was an accountant; he used to know which entry goes on the debit side and which on the credit side. If that is all he knew, his job has since long disappeared.

Then there was a person and his team who used to be so busy finalising the company accounts at the end of each reporting period. They were a bunch of busy body accountants. It is still a busy body with a different set of skills. Fifty percentages are accounting, and fifty percentages are bringing data from various sources together. It is called ETL and is as far away from accounting as one can get. Awesome!

We really should wonder if there is an accountant left in the company. We have people who deal with banks, customers and systems. The debit and credit issues are long resolved.

I remember years ago the union of the Communist Party of India in the Public Sector Banks in India went on strike against computerization. If you look at the shape of banking today, we can eventually look at only decision makers sitting at the front desk. The senior manager, if it is one of our Public-Sector Banks will sit across you and give you a decision across the table.

I can hear you reading this and saying, so what’s new. We have been there, done and got over that.

As I write, you and I are also reading the news splattered all over the media, that technology jobs are being reskilled and leading to some job losses. And quite a few of the Area sales managers in the insurance segment or FMCG feel far and distant from this event. I am using Area sales manager in Insurance as an example. A lot of folks in middle management in finance, sales and logistics think that this is not about them. It is precisely about them.

So, whose job do you think technology is being reskilled to go after?

Smarten, our analytics engine includes a new component in the coming release. It is called social BI. One of the biggest possibilities out Social BI is compressing the reporting structure. The Regional Manager will ask the area manager who will ask the field sales manager is the typical process. With Social BI and analytics, a senior manager who typically could handle 5 – 7 subordinates, can look at 15 to 20 direct reportees.

In the same way, self-serve data preparation tools will compress the technology team in the finance team.

As the system’s ability to decide based on experience expands, the compression in jobs which use past information to make plans, communicate or act will accelerate.

So, whose job is it anyway? Just some food for thought. I hope all your jobs are safe you get the regular increments this year too!

]]>
https://www.elegantjbi.com/blog/whose-job-is-it-anyway.htm/feed/ 0
Citizen Data Scientists Benefit the Biz https://www.elegantjbi.com/blog/citizen-data-scientists-smarten-up.htm https://www.elegantjbi.com/blog/citizen-data-scientists-smarten-up.htm#comments Mon, 12 Jun 2017 13:55:16 +0000 https://www.elegantjbi.com/blog/?p=4911 Continued]]> Smarten Self Serve BI Creates Citizen Data ScientistsIf you are interested in, or work in, technology, you are familiar with Gartner and its analysis and predictions for the world-wide technology landscape. One of the key predictions Gartner has made in the past few years is the advent and growth of data democracy and the increasing importance of Citizen Data Scientists.

If your organization is like most businesses, your IT and analytical resources are limited and you want those resources to focus on the work that is most crucial and requires their professional attention. But, if your business users do not have access to the right business intelligence, or if the BI tools you have chosen are restrictive, your IT team and data scientists and analyst will spend all their time creating reports and trying to help managers and team members understand the resulting analysis.

Plug n’ Play Predictive Analysis, Smart Visualisation, Self-Service Data Prep and Data Discovery Tools are all components of self-service BI tools and these are the tools that will help your users break free from restrictive dashboards and BI tools and create data in a way that is meaningful to them. Citizen Data Scientists are confident about data analysis and about their ability to find, analyze and present data in a way that is easy to understand. The right tools will recommend visualization and analytical techniques and help users to identify patterns and trends to make confident decisions. To create Citizen Data Scientists, you need only give your business users the right analytical tools. They don’t have to understand algorithms or dive into statistics. They just need access to the right tools!

Start here: Smarten is the Answer

Original Post: Smarten Self Serve BI Creates Citizen Data Scientists

]]>
https://www.elegantjbi.com/blog/citizen-data-scientists-smarten-up.htm/feed/ 0
Clickless Analytics https://www.elegantjbi.com/blog/clickless-analytics.htm https://www.elegantjbi.com/blog/clickless-analytics.htm#comments Mon, 12 Jun 2017 08:49:37 +0000 https://www.elegantjbi.com/blog/?p=4902 Continued]]> Clickless AnalyticsOne of the things which cause distress in a lot of activities is the click. We have to point and click. You can use your mouse, or finger or your nose if the hands are busy, but you have to click. Point and click was a solution invented for a purpose which we have extended to all areas of life. Since we work in the world of data science and analytics, I will restrict my discussion to this, though I have a plenty of opinion in the other areas.

The obvious choices which hit our mind when we look at the Clickless world are the voice and natural language query. That does solve a part of the problem but does it completely make our world seamlessly Clickless? The other added solution is a self-learning bot which manages the analytics for you. Here are a couple of things which will not come to your mind easily when you imagine Clickless analytics. More like an e-commerce site, one has to be given a choice to select a ready analytics or graph based on past analysis and intentions. So it is prediction running on predictive analytics. This is not very complicated. It is easy to detect what is the context of the user based on past queries. And ten options based on past queries are ready when the user logs in. This itself eliminates the need for the first click.

The second is predicting the data which will be queried. This can be a bot or NLQ engine but imagine a situation where you have a discussion with the bot for this.

So the conversation with the bot goes something like this.

Sales in India – Ok
By product – Ok
Only for Fruit Juices in Rajasthan – Ok
Only in Udaipur – with chocolates – Ok

This is the bot doing activities which are like filtering, so it is like the bot, NLQ replacing clicking.

So, when does it get Clickless?

When you say, back to sales in India, or say two steps back?

If you imagined this on a desktop, please put a mobile device in your head and then look at the next step.

If you are designing a Clickless analytics solution, we are using predictive analytics for a user to give predetermined analytic results. The logic of a Clickless world starts with taking the profile of the user and preparing the basis for the profile. Along with the profile comes the analytic tree. The analytic tree is the path usually users take when they are clicking but with the advantage of jumping multiple clicks.

So an algorithm that is running our Smarten engine, we do three things to build the Clickless dashboard. We know the user profile, which is in our world is not complicated, it is driven by access rights to the user. We also understand the KPI of the user based on the profile. A single user usually is not managing ten dimensions and ten metrics at a time to start. He may add some in the future, but one has to start with these. So we use an NLQ engine which operates like a bot. The only difference being it will not ask questions to the user and compel him to type or click. Either he expands what is written on reduces it.

The fundamental difference between a raw NLQ engine and a Clickless engine is predictive used on the path of analytics. This allows more of a hide and show type of activity on analytics.

So how are the dates handled? Dates in Clickless world will always be referenced + or –

If you are using voice, then there is no choice but to work on the following:

1. Predictive for the user
2. Knowing what will be the reduction and expansion
3. Using references and start points for ranges
4. Give a look ahead and eliminate lookup and auto correct

The story or look ahead and autocorrect is one of the oldest ones. Look ahead in an environment like a search engine is different than in an analytics engine. Look ahead, in analytics has to predict, summarise and look ahead of the user to give an auto-suggestion. This is not similar to a listing some of the most popular searches.

This is how Smarten works. It is predicting your analytics need making it clickless.

]]>
https://www.elegantjbi.com/blog/clickless-analytics.htm/feed/ 0
Predictive Analysis Software & Self Serve Data Prep https://www.elegantjbi.com/blog/predictive-analysis-software-self-serve-data-prep.htm https://www.elegantjbi.com/blog/predictive-analysis-software-self-serve-data-prep.htm#comments Mon, 05 Jun 2017 11:26:31 +0000 https://www.elegantjbi.com/blog/?p=4889 Continued]]> Soar with Self-Serve Data Prep & Predictive Analysis ToolsYour Business Will Soar with Self-Serve Data Prep & Predictive Analysis Software

If your organization is implementing self-serve business intelligence, it is important to balance sophisticated tools with the skills of the average business user. While algorithms and advanced data analysis are a great benefit, if business users find these tools daunting, they won’t adopt them, and you won’t improve productivity, or timeliness or accuracy of decision-making.

The Smarten approach to predictive analysis tools and self-serve data prep is suitable for every user. These tools ensure that decisions are made with up-to-date information and that the average business user can prepare and analyze data using tools that makes analysis clear and concise!

Smarten tools provide comprehensive, easy-to-use tools for every business user and form the foundation of the ElegantJ BI business intelligence solution. ElegantJ BI has been recognized and listed in numerous Gartner market guides and reports.

Find out more about the Smarten approach to advanced analytics, and how it can help you achieve your objectives.

Original Post: Soar with Self-Serve Data Prep & Predictive Analysis Tools

]]>
https://www.elegantjbi.com/blog/predictive-analysis-software-self-serve-data-prep.htm/feed/ 0
Re-Visualizing Business Intelligence, now let’s chat! https://www.elegantjbi.com/blog/re-visualizing-business-intelligence.htm https://www.elegantjbi.com/blog/re-visualizing-business-intelligence.htm#comments Thu, 01 Jun 2017 07:00:48 +0000 https://www.elegantjbi.com/blog/?p=4804 Continued]]> Re-Visualizing Business Intelligence, now let’s chat!Since it is the prerogative of a consultant to question and modify predominant jargon, I am hatting (yes, this too is an English word) …I am hatting myself in the hat of a consultant this morning, and I am questioning the application of the term “Business Intelligence.”

As a professional in the Industry for long, I have seen this word being used innovatively to describe Cognos, Business Objects, QlikView and Power BI. From reporting to visualised dashboard to predictive analytics.

So let us look at what entails BI now and what it will include in future. We know that by designing self-learning programs, we are in a position to provide prescriptive analytics. Some prescriptive analytics based on known parameters were always a part of ERP or BI offering. For example, a maintenance manager of a machine shop can get a predictive analytic message for early maintenance based on the parameters for use. This was early predictive or was it? Did it predict a need or it estimate a need?

We are looking at a picture not extrapolated from this scenario but different from this.

First, the assumption that there will adequate data to predict needs is to change to the ability to pull data from multiple sources to predict. So multiple sources spread across various location. Data sources is also a business proposition for many corporations, NGO and government organisation to start a business

Second is the death of the click. We are looking at Clickless world shortly. And the best part “Clickless” is not a part of the BI lexicon. As Yet! I can hear you thinking…how is it possible? This is nonsense! The consultant’s hat does not suit this guy! I know…I know what you are thinking

In the world where computing resources are in oversupply, where in-house servers and their capacity have ceased to make an impact on design or purchase decisions, business analysts nor CEO are going to look at huge dashboards and filter data. Nor are they going to look at 2 KPIs to sense the direction in which the business is going.

They are going to ask direct questions to the data.

CEO will ask, “What caused the sales drop last month?”
The answer could be “Demonetization of Indian currency had an impact in West Bengal which resulted in a drop in sales.” This human mind knows, but how will a business intelligence system?

We respond using SMARTEN!

The engine pulls data from the sales report where most of the sales team would have marked Demonetization as a reason for the drop in sales from Salesforce. Next it check the news engine if this demonetization was a fact of a figment of the sales team imagination – displayed the news results and a pie chart of the sales in key zones with the dips in the key cities.

Now does the CEO click and drill down? No, he asks, why did the sales not fall in Ahmedabad? Darn, you guys expected a click somewhere…no, we are going to do away with it.

But now, the question which the CEO asks…how to make West Bengal work like Ahmedabad…

And this results in a solution which indicates an increase in advertising spend and fewer sales calls to similar customers.

So, this brings me back to the original question which made we wear the consultant’s hat. Is this Business Intelligence?

It is!!!

And we are calling this technology Smarten

Smarten is an amalgamation of data analytics engines and human interaction processes, like natural language, voice and text inputs which is expected to change the way you decide and act!

]]>
https://www.elegantjbi.com/blog/re-visualizing-business-intelligence.htm/feed/ 0
Gartner Data & Analytics Summit, Mumbai, India June 6-7: ElegantJ BI is Silver Sponsor https://www.elegantjbi.com/blog/gartner-data-analytics-summit-mumbai-india-june-6-7-elegantj-bi-is-silver-sponsor.htm https://www.elegantjbi.com/blog/gartner-data-analytics-summit-mumbai-india-june-6-7-elegantj-bi-is-silver-sponsor.htm#comments Wed, 31 May 2017 06:49:20 +0000 https://www.elegantjbi.com/blog/?p=4885 Continued]]> Gartner Data & Analytics Summit, Mumbai India June 6-7: ElegantJ BI is Silver SponsorElegantJ BI is pleased to be a Silver Sponsor at the Gartner Data & Analytics Summit, which will be held on June 6 and 7, 2017 in Mumbai, India. The theme of the conference is ‘Lead in the Age of Infinite Possibilities’.

ElegantJ BI, the respected Business Intelligence and Advanced Data Discovery solution provider offers a suite of Business Intelligence and Advanced Analytics tools, featuring the Smarten approach to BI tools with Self-Serve Data Preparation, Smart Visualization and Plug n’ Play Predictive Analysis.

The ElegantJ BI Business Intelligence suite was listed as a Niche BI and Analytics Vendor in the August 2016, Gartner Competitive Landscape: BI Platforms and Analytics Software, Asia/Pacific Report., and as a Representative Vendor in February, 2016, Gartner Market Guide for Enterprise-Reporting-Based Platforms, and in the Gartner ‘Other Vendors to Consider for Modern BI and Analytics’ report, November 2016.

ElegantJ BI CEO, Kartik Patel says, “The Gartner Data & Analytics Summit will help attendees develop effective analytical strategies and prepare for trends by maximizing the impact of business intelligence solutions. This Summit will provide the opportunity for us to greet colleagues and establish new relationships with prospective customers and partners.”

In the rapidly changing business intelligence market, data democratization and the empowerment of business users serves to support the transformation of business users to Citizen Data Scientists. This approach optimizes the skills, knowledge and time of analysts, IT staff and data scientists, allowing for precise analysis and data sharing among business users to support day-to-day decisions, and analyst involvement where 100% data accuracy is crucial.

“We invite customers, stakeholders, and partners to join us at the Gartner Data & Analytics Summit,” says Patel. Summit attendees are invited to meet the ElegantJ BI product and solutions team and see demonstrations of the ElegantJ BI solution at the Solution Showcase. Demonstrations will include a preview of the ElegantJ BI Smarten approach to business intelligence including Self-Serve Data Preparation, Smart Visualization and Plug n’ Play Predictive Analysis.

Patel said, “We look forward to the Summit as it provides an exciting opportunity to see and experience business intelligence and analytics solutions and to understand trends in BI tools and analytical techniques. The ElegantJ BI team is pleased to participate as a Silver Sponsor in this event. This exciting educational environment will inspire vendors, customers and partners to look to the future of Business Intelligence.”

About ElegantJ BI

ElegantJ BI is the flagship BI & Advanced Data Discovery solution of Elegant MicroWeb, and an intelligent ‘Design once, Use anywhere’ adaptive UI engine for out-of-the-box roll out to transform business users into Citizen Data Scientists. ElegantJ BI supports Advanced Data Discovery with Self-Serve Data Preparation, Smart Visualization and Plug n’ Play Predictive Analysis and a 100% browser-based foundation that enables Mobile BI, Social BI and rich KPI analytics. ElegantJ BI is listed as a Niche BI and Analytics Vendor in the August 2016, Gartner Competitive Landscape: BI Platforms and Analytics Software, Asia/Pacific Report., and as a Representative Vendor in February, 2016, Gartner Market Guide for Enterprise-Reporting-Based Platforms, and in the Gartner ‘Other Vendors to Consider for Modern BI and Analytics’ report, November 2016. ElegantJ BI is used by large, medium and small businesses around the world, including Religare Securities, IPCA Laboratories, JMC Projects, Sharekhan, Raychem RPG and many other small and medium size businesses.

Read more: Gartner Data & Analytics Summit, Mumbai, India June 6-7: ElegantJ BI is Silver Sponsor

]]>
https://www.elegantjbi.com/blog/gartner-data-analytics-summit-mumbai-india-june-6-7-elegantj-bi-is-silver-sponsor.htm/feed/ 0
Smart Data Visualization and Data Discovery Tools Empower Business Users https://www.elegantjbi.com/blog/smart-data-visualization-and-data-discovery-tools-empower-business-users.htm https://www.elegantjbi.com/blog/smart-data-visualization-and-data-discovery-tools-empower-business-users.htm#comments Wed, 31 May 2017 04:45:34 +0000 https://www.elegantjbi.com/blog/?p=4882 Continued]]> rsz_big-data-analytics1Complex BI tools are not suitable for the self-serve environment. These tools are meant only for programmers and data scientists. To empower business users and allow them to achieve goals and contribute to the bottom line, you provide advanced analytics and smart data visualization tools in an easy-to-use environment that encourages user adoption and report and data sharing.

Data Discovery Tools allow business users to leverage advanced analytics to quickly and easily prepare and analyze data and to visualize and explore data, notate, and highlight and share data with others. Business users can leverage advanced analytics tools to identify important ‘nuggets’, buried in traditional data, and connect the dots, find exceptions, identify patterns and trends and predict results. Smart Data Visualization allows users to gather data components and clarify a problem, identify an opportunity or make a decision.

The Smarten advanced data analytics approach is reflected in the ElegantJ BI solution and its self-serve BI tools. ElegantJ BI has been recognized and listed in numerous Gartner market guides and reports.

If you want to add true value to your business users and achieve your objectives, consider the Smarten approach to BI tools for sophisticated, simple data visualization tools and advanced analytics.

Original Source – Smart Data Visualization and Data Discovery Tools Empower Business Users

]]>
https://www.elegantjbi.com/blog/smart-data-visualization-and-data-discovery-tools-empower-business-users.htm/feed/ 0
Discover the Advantages of Mobile BI Business Intelligence Software https://www.elegantjbi.com/blog/advantages-of-mobile-BI-business-intelligence-software.htm https://www.elegantjbi.com/blog/advantages-of-mobile-BI-business-intelligence-software.htm#comments Fri, 26 May 2017 05:50:02 +0000 https://www.elegantjbi.com/blog/?p=4879 Continued]]> Business Intelligence Software Must Support Mobile BIEvery business is mobile these days! Whether you have a large, medium or small business or you are a sole proprietor working in a home office, you are on the go and you need business intelligence tools that provide mobile BI dashboards and advanced data discovery and analytics to support your business decision, identify issues and opportunities and keep your business moving in the right direction. In the past, BI tools were difficult to use and limited or restricted to access within the office or by certain individuals in the organization. You need ready to use, out of the box business intelligence, without restrictive licensing.

Reimagine BI with mobile BI that supports you, your users and your business success. Why accept restrictive, cumbersome business intelligence solutions when you can enjoy the ease of high-performance mobile BI software that will work on any size or type of device. Empower users with integrated, interactive, personalized views and advanced analytical features that enable data sharing, identification of trends and patterns and user empowerment and accountability.

If you are ready to leave those restrictive BI tools behind, and leverage the power of mobile BI, we invite you to explore the advantages of the Smarten approach to BI tools to encourage data democratization and help your organization achieve business success.

]]>
https://www.elegantjbi.com/blog/advantages-of-mobile-BI-business-intelligence-software.htm/feed/ 0
Our New Logo, Our New leap in technology! https://www.elegantjbi.com/blog/our-new-logo-our-new-leap-in-technology.htm https://www.elegantjbi.com/blog/our-new-logo-our-new-leap-in-technology.htm#comments Thu, 25 May 2017 10:16:02 +0000 https://www.elegantjbi.com/blog/?p=5040 Continued]]> Our New Logo, Our New leap in technology!

The next technology move:

Smart Data Visualization, New intuitive graphical displays, Strength to handle Big Data at blazing speeds, Self-Serve Data Prep to merge and prepare your data in one solution. All this put together with Plug and Play predictive analytics to empower users and making use of analytics a sheer joy!

The logo:

Colourful Ribbon Gymnast who we call – ATHENA (Greek Goddess of wisdom and knowledge)

Visually pleasing alacrity and rhythm with objects, synchronised and fast with the remarkable strength ready for any move or mix multiple moves which could stun people into an applause and make the performance a real joy!

Know more about ElegantJ BI and Smarten – Advanced Data Discovery

]]>
https://www.elegantjbi.com/blog/our-new-logo-our-new-leap-in-technology.htm/feed/ 0
Power Up Your Predictions with Plug n’ Play Predictive Analysis https://www.elegantjbi.com/blog/power-up-your-predictions-plug-n-play-predictive-analysis.htm https://www.elegantjbi.com/blog/power-up-your-predictions-plug-n-play-predictive-analysis.htm#comments Tue, 23 May 2017 06:05:47 +0000 https://www.elegantjbi.com/blog/?p=4847 Continued]]> Power Up Your Predictions with Plug n' Play Predictive AnalysisTo be successful in business, every organization must find a way to accurately forecast and predict the future of its market, and its internal operations, and better understand the buying behavior of its customers and prospects. To accurately predict and plan, every enterprise must select a business intelligence solution that will support their efforts and provide business users with a rich set of features and tools.

One of the most important elements of advanced data discovery and advanced analytics tools is plug n’ play predictive analysis and forecasting tools. These tools can support the enterprise initiative to implement self-serve advanced analytics and transform business users into Citizen Data Scientists.

Plug n’ Play Predictive Analytics provides easy-to-use tools that require no programming or data scientist skills and enable the average business user to leverage sophisticated predictive algorithms so users can confidently plan for success.

Why and how might an enterprise use Plug n’ Play Predictive Analysis? The list of examples is only limited by your imagination and creativity. For example:

  • The enterprise might wish to analyze customer churn to discover and predict which customers are likely to move away from the business based on purchasing patterns, buying behavior and demographics, geographic and other macro parameters.
  • The enterprise might use Plug n’ Play Predictive Analysis to assess customer acquisition potential and find out if and how a particular customer or a set of customers can be converted from prospect to customer.
  • Business users might recommend cross-sales opportunities to discover the next high potential product, promotion or offer for sales conversion, and target customers based on profile and the other products he or she has purchased.
  • The business might wish to identify ideal locations for a warehouse, store or branch based on demographics, geography, macro parameters, supply chain and other related parameters.
  • The Marketing and Sales teams might want to optimize loyalty programs, using churn analysis, acquisition potential, cross sales and other algorithms to design a loyalty program that offers value to the business and its customers.
  • The management team might wish to optimize pricing plans using the prediction engine to recommend the best possible pricing for each product, item and SKU, based on competitive pricing and positioning considerations, and targeted geography and demographics.

Features like time-series forecasting to predict future values, and causation, clustering and associative algorithms make it easier for business users to analyze and plan at an advanced level like a data scientist but without the need for data scientist skills.

With Plug n’ Play Predictive Analysis business users can consider hypothesis of various scenarios and, if necessary, consult a data scientists if they need to refine and fine-tune these models.

There are many business intelligence solutions that offer analytics and data mining but the potential of Plug n’ Play Predictive Analysis goes beyond simple analytics to provide sophisticated tools and techniques in a self-serve environment that is suitable for every user.

The key to successful advanced data analysis is in the detailed capabilities and ease-of-use provided by tools such as Plug n’ Play Predictive Analysis, and features like Smart Data Visualization and Self-Serve Data Preparation – all of which engage business users in a sophisticated process without requiring complex knowledge and skills.

About Kartik Patel

Kartik is the founder and CEO of Elegant MicroWeb, specializing in software services and products. For two decades, Elegant MicroWeb has provided a full suite of innovative offshore technology services, serving clients worldwide, with sustained business partnerships. The flagship ElegantJ BI business intelligence solution offers a Smarten approach to BI, with Plug n’ Play Predictive Analysis, Self-Serve Data Preparation and Smart Data Visualization.

ElegantJ BI was listed as a Representative Vendor in the ‘Gartner Market Guide for Enterprise-Reporting-Based Platforms’, as an Other Relevant Vendor in the Gartner MQ for Business Intelligence and Analytics Platforms, as a Niche BI and Analytics Vendor for the Gartner Report, Competitive Landscape: BI Platforms and Analytics Software Asia/Pacific and a Listed Vendor for Other Vendors to Consider for Modern BI and Analytics, Gartner Report.

Original Source – Power Up Your Predictions with Plug n’ Play Predictive Analysis

]]>
https://www.elegantjbi.com/blog/power-up-your-predictions-plug-n-play-predictive-analysis.htm/feed/ 0
Self-Serve Data Prep & Plug n’ Play Predictive Analysis https://www.elegantjbi.com/blog/self-serve-data-prep-and-plug-n-play-predictive-analytics.htm https://www.elegantjbi.com/blog/self-serve-data-prep-and-plug-n-play-predictive-analytics.htm#comments Fri, 19 May 2017 09:28:09 +0000 https://www.elegantjbi.com/blog/?p=4841 Continued]]> Self-Serve Data Prep & Plug n' Play Predictive AnalysisNearly every organization has BI tools, but not every organization takes the Smarten approach to business intelligence. The components of the Smarten approach include self-serve data preparation and Plug n’ Play Predictive Analysis, both of which (when combined with Smart Visualization and Advanced Data Discovery tools) provide a sophisticated, yet easy-to-use, solution that supports business users and data scientists alike.

Self-Service Data Preparation allows business users to perform data preparation and test theories and hypotheses by prototyping on their own. Users are not restricted to complex tools or forced to wait for programmers or data scientists. Plug and Play predictive analysis helps the average business user to leverage sophisticated predictive algorithms without the expertise and skill of a trained data scientist, so users who are not statisticians or predictive algorithm experts, can leverage self-service plug n’ play predictive tools to confidently make business decisions.

The Smarten approach to business intelligence is reflected in the ElegantJ BI solution and its innovative approach to self-serve BI tools. ElegantJ BI has been recognized and listed in numerous Gartner market guides and reports.

The Smarten approach to BI tools includes components that support visual analytics and decision-making. Find out more about Smarten now!

Original Source – Self-Serve Data Prep & Plug n’ Play Predictive Analysis

]]>
https://www.elegantjbi.com/blog/self-serve-data-prep-and-plug-n-play-predictive-analytics.htm/feed/ 0
Social BI and Visual Analytics Go Hand-in-Hand https://www.elegantjbi.com/blog/social-BI-visual-analytics-go-hand-in-hand.htm https://www.elegantjbi.com/blog/social-BI-visual-analytics-go-hand-in-hand.htm#comments Wed, 17 May 2017 06:03:32 +0000 https://www.elegantjbi.com/blog/?p=4836 Continued]]> EJBI Short Blog 2Social BI is BIG in business intelligence! As self-serve BI tools grow in popularity and ease-of-use, the natural progression for BI is toward socialization. Business users understand social networking and social media paradigms and they embrace the idea of social business intelligence. The result is increased productivity, the emergence of data popularity, and creative business users who become leaders in sharing, analytics and report formats.

As power users, and data analysis, become ‘popular’, the enterprise will see improved user adoption of BI tools and begin to understand the types of data that users value, and how to present, data to improve leverage, and increase confidence in decisions. To encourage social BI, you must give users intuitive visual analytics and smart visualization tools to help them easily see, analyze and share data. Sophisticated, easy-to-use visual analytics is the foundation for social BI and data democratization!

The Smarten approach to Advanced Analytics is the next step on a journey that began with the ElegantJ BI comprehensive BI solution and the mobile business intelligence vision and execution. Smarten provides solid support for data democratization and the transformation of business users to Citizen Data Scientists.

Take advantage of Social BI and leverage the power of visual analytics with Smarten Business Intelligence tools to encourage data democratization and self-serve BI and help your organization achieve its goals.

]]>
https://www.elegantjbi.com/blog/social-BI-visual-analytics-go-hand-in-hand.htm/feed/ 0
Smarten Advanced Data Discovery is All the Buzz! https://www.elegantjbi.com/blog/smarten-advanced-data-discovery-the-smart-tool-for-advanced-analytics.htm https://www.elegantjbi.com/blog/smarten-advanced-data-discovery-the-smart-tool-for-advanced-analytics.htm#comments Fri, 12 May 2017 10:23:46 +0000 https://www.elegantjbi.com/blog/?p=4833 Continued]]> Self-Serve-Data-Preparation-1If you are frustrated with BI tools, and looking for self-service Advanced Analytics to achieve your goals and empower users, you should understand the difference between traditional BI tools and the Smarten Advanced Data Discovery approach.

The Smarten Advanced Data Discovery gives users the freedom to leverage data beyond simple visual data analysis and dashboards.

Advanced Data Discovery allows business users to perform early prototyping and to test hypothesis without the skills of a data scientist, ETL or developer. Advanced Data Discovery ensures data democratization by enabling users to drastically reduce the time and cost of analysis and experimentation.

Smart Data Visualization suggests the best options for visualizing and plotting for a particular set or type of data, based on the nature, dimensions and trend of data.

Self-Serve Data Preparation provides seamless data access and allows users to discover, transform, mash-up and integrate data for clear analytics.

Plug n’ Play Predictive Analysis enables business users to explore power of predictive analytics without indepth understanding of statistics and data science.

The Smarten approach to Advanced Analytics is the next step on a journey that began with the ElegantJ BI comprehensive BI solution and the mobile business intelligence vision and execution. Smarten provides solid support for data democratization and the transformation of business users to Citizen Data Scientists.

Gartner analysts have recently predicted the future of Advanced Analytics and the business intelligence market. Their findings include:

  • Through 2017, the number of citizen data scientists will grow five times faster than the number of highly skilled data scientists.
  • By 2019, citizen data scientists will surpass data scientists in the amount of advanced analysis produced.
  • By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.

The ElegantJ BI solution is designed to address the current and future challenges of data democratization and to support business users with sophisticated, easy-to-use tools. ElegantJ BI was listed as a Representative Vendor in the ‘Gartner Market Guide for Enterprise-Reporting-Based Platforms’, as an Other Relevant Vendor in the Gartner MQ for Business Intelligence and Analytics Platforms, as a Niche BI and Analytics Vendor for the Gartner Report, Competitive Landscape: BI Platforms and Analytics Software Asia/Pacific and a Listed Vendor for Other Vendors to Consider for Modern BI and Analytics, Gartner Report.

You can find more details and blogs on related topics and services for Smarten Advanced Data Discovery here.

Original Source – Smarten Advanced Data Discovery is All the Buzz!

]]>
https://www.elegantjbi.com/blog/smarten-advanced-data-discovery-the-smart-tool-for-advanced-analytics.htm/feed/ 0
Social BI Tools: Get Social and Get Successful! https://www.elegantjbi.com/blog/2017/05/08/may-8-2017/social-BI-dashboard.htm https://www.elegantjbi.com/blog/2017/05/08/may-8-2017/social-BI-dashboard.htm#comments Mon, 08 May 2017 06:06:06 +0000 https://www.elegantjbi.com/blog/?p=4826 Continued]]> 1
Social networks and social media have exploded. It is everywhere and it affects our lives in ways we could never have predicted. Every aspect of modern life involves sharing and social interaction, and Business Intelligence should be no exception. Imagine an environment where business users can access BI tools and a data analysis portal as a social business intelligence tool that would allow them to see and share popular data and to rate and comment on that data and reporting. That sharing can optimize resources and allow users to access reports, dashboards and data that might be just what they need to complete a task or analysis. When you implement social media and social networking within the Business Intelligence environment business users can share, rate, discuss and learn from others.

With Social BI software organizations will experience the emergence of power users who take a creative, insightful approach to data analysis. Just as social media users can ‘Like’ or ‘Share’ a provocative post from another user, a social business intelligence tool can support the same kind of sharing and learning within your organization.

As power users, and data analysis, become ‘popular’, the enterprise will see improved user adoption of BI tools and begin to understand the types of data that users value, and how to provide, and present, data to improve data leverage, and increase confidence in decisions. Understanding the social aspect of data analysis, and data popularity allows the enterprise to make decisions about additional provisioning of data, reports and dashboards to business users.

Would like your users to collaborate, share and build a community of genuine BI whiz kids? Give the data agility, and let them rate, discuss and make confident decisions. Watch them build data and user popularity that will help your IT staff, and execs, gain insight into what users want and where the value of information lies. You can start the journey here: Social BI Dashboard

]]>
https://www.elegantjbi.com/blog/2017/05/08/may-8-2017/social-BI-dashboard.htm/feed/ 0
A Business Intelligence Tool Must be a MOBILE Business Intelligence Tool! https://www.elegantjbi.com/blog/business-intelligence-tool-must-be-mobile-business-intelligence-tool.htm https://www.elegantjbi.com/blog/business-intelligence-tool-must-be-mobile-business-intelligence-tool.htm#comments Thu, 04 May 2017 05:20:32 +0000 https://www.elegantjbi.com/blog/?p=4815 Continued]]> Mobile-BI-Blog-1 A business intelligence tool is only valuable if it is accessible and In today’s mobile world, a mobile business intelligence tool is a necessity. Business users are now empowered with data democratization and social BI is more popular than ever. But, all of that is out of reach if your tools are not mobile.

Give business users BI and analytics in the form of mobile business intelligence software, so they have the tools they need to find, analyze and share data, in the office, on the road- anywhere! Your business doesn’t stop running when your team is on the road. Inattention results in missed opportunities and problems that go unresolved. The business intelligence tools you provide must be designed for ease-of-use on any smart phone, tablet or device, no matter the screen size, and performance and scalability is critical to user adoption and satisfaction.

The Smarten approach to Advanced Analytics is the next step on a journey that began with the ElegantJ BI comprehensive BI solution and the mobile business intelligence vision and execution. Smarten provides solid support for data democratization and the transformation of business users to Citizen Data Scientists.

If you want to take full advantage of business intelligence software, make sure you select a mobile business intelligence tool.

]]>
https://www.elegantjbi.com/blog/business-intelligence-tool-must-be-mobile-business-intelligence-tool.htm/feed/ 0
Fact or Fiction? Smart Data Visualization Tells the Tale https://www.elegantjbi.com/blog/smart-data-visualization-tells-the-tale.htm https://www.elegantjbi.com/blog/smart-data-visualization-tells-the-tale.htm#comments Wed, 19 Apr 2017 09:10:59 +0000 https://www.elegantjbi.com/blog/?p=4772 Continued]]> Smart Data Visualization Tells the Tale

If you are considering a Business Intelligence solution, you ought to give some consideration to the concept of Smart Data Visualization and review your prospective solution to determine its capabilities in that regard. Smart Data Visualization provides many benefits to the organization and to the business users, who will leverage the selected BI tools to gather, analyze, share and report on data. Smart Data Visualization goes beyond data display to suggest options for visualization and plotting for certain types of data, based on the nature, dimensions and trends inherent in the data. It allows users to perform advanced analytics, using sophisticated tools in an easy-to-use, drag and drop interface, with no advanced skill requirement for statistical analysis, algorithms or technical knowledge. Your users can go beyond data monitoring to ‘discover’ subtle and important factors that will identify issues and patterns, and help the organization capitalize on opportunities.

Traditional data visualization is static and while it may offer a choice of graphs and displays, it is not interactive beyond a point. In the traditional scenario, visual representations are not useful in helping users to analyze and understand data or choose the right method to display and report that data for decision-making. Smart Data Visualization allows the enterprise and its users to select and display data in a way that assures accurate interpretation and assumes no technical skill or need for in-depth training.

Interactive Smart Data Visualization tools enable users to identify relationships, patterns, trends and opportunities and to explore detailed data with simple drill down and drill through capabilities. These tools help the organization to integrate and make sense of data from all sources, with a guided approach that allows for swift completion of analysis and reports and reduces the time required for data discovery. Perhaps most importantly, these tools do all of this without the need for programmer or analyst or data scientist intervention or knowledge.

Business users can find and understand data, identify thresholds, hypothesize, and plan, all with the assistance of a business intelligence solution that can find and recommend data views to make the user’s life easier and ensure appropriate interpretation of data.

It is important to note that rich, functional Smart Data Visualization must incorporate cutting-edge technology on the back-end, and an understanding of the user experience.

  • How do users perceive and use data?
  • How do formats and reporting affect a user’s understanding of data?
  • How does a user identify a pattern or trend? How do they analyze and make decisions and what additional information will they need to select a recommendation or an option?
  • What is the difference between viewing structured data and compiling and analyzing unstructured data?
  • How do various types of data (sales, product development, project management, customer management, construction, stock portfolios, or finance), affect a user’s ability to spot trends and patterns and what kind of reporting, charts, and formats will best illustrate these types of data?

Smart Data Visualization allows you to gather various data components and tell a story that will clarify a problem, identify an opportunity or help to make a decision. In order to build and tell that story, the business user must be able to interact with their analytics software and build the story through guided visualization and recommended data presentation to best illustrate the issue.

When selecting a business intelligence solution and considering the benefits of Smart Data Visualization, it is important to recognize the need for clear, concise information at every level in the organization and the need to accurately analyze, share and present this information without waiting for technical or data scientist assistance. If you want your business users to achieve results, you must provide them with smart tools to help them cut through that mountain of data and find those nuggets of information that will make a real difference in business results.

About Kartik Patel

Kartik is the founder and CEO of Elegant MicroWeb, specializing in software services and products. For two decades, Elegant MicroWeb has provided a full suite of innovative offshore technology services, serving clients worldwide, with sustained business partnerships. The flagship ElegantJ BI business intelligence solution offers a Smarten approach to BI, with Plug n’ Play Predictive Analysis, Self-Serve Data Preparation and Smart Data Visualization.

ElegantJ BI was listed as a Representative Vendor in the ‘Gartner Market Guide for Enterprise-Reporting-Based Platforms’, as an Other Relevant Vendor in the Gartner MQ for Business Intelligence and Analytics Platforms, as a Niche BI and Analytics Vendor for the Gartner Report, Competitive Landscape: BI Platforms and Analytics Software Asia/Pacific and a Listed Vendor for Other Vendors to Consider for Modern BI and Analytics, Gartner Report.

Original Source – Fact or Fiction? Smart Data Visualization Tells the Tale

]]>
https://www.elegantjbi.com/blog/smart-data-visualization-tells-the-tale.htm/feed/ 0
Leading India Stock Brokerage Firms Benefit From ElegantJ BI Solution https://www.elegantjbi.com/blog/leading-india-stock-brokerage-firms-benefit-from-elegantj-bi-solution.htm https://www.elegantjbi.com/blog/leading-india-stock-brokerage-firms-benefit-from-elegantj-bi-solution.htm#comments Thu, 13 Apr 2017 13:41:46 +0000 https://www.elegantjbi.com/blog/?p=4764 Continued]]> Forecasting
Stock brokerage firms around the world are now using Self-Serve Business Intelligence solutions with integrated functionality for data warehouses (DWH), trading application, Customer Relationship Management (CRM) and other enterprise solutions. The ElegantJ BI stock brokerage out-of-the-box solution is used by many of the leading stock brokerage firms in India, including Religare Securities, KIFS and Sharekhan. This cutting-edge, self-serve BI solution allows users to easily analyze business data from disparate sources and make confident decisions. ElegantJ BI offers an easy to implement, easy to adopt self-serve business intelligence environment that requires no specialized skills and provides mobile capabilities.

“Our ‘design once, use anywhere’ approach to BI helps our stock broker clients to democratize business intelligence,” says ElegantJ BI CEO, Kartik Patel. “With improved reporting and performance management dashboards, and a scalable, flexible approach to architecture and infrastructure, these complex organizations can simplify business intelligence and improve performance.”

ElegantJ BI clients include some of the leading stock brokerage firms in India. These clients have successfully used the ElegantJ BI solution for more than three (3) years, supporting, on average, more than one million customers and more than one million transactions per day, with hundreds of branches all across India.

CEO, Patel says, “Our stock brokerage clients use ElegantJ BI for sales analysis, branch performance, customer segmentation and analysis by customer segments, and to analyze performance at various levels within organization and compare performance to the overall market performance and the enterprise share in the market.”

Visit the ElegantJ BI site to find out more about the ElegantJ BI Stock Brokerage solution with out-of-the-box dashboard, KPI and reporting templates and data mart solutions, and the ElegantJ BI team has proven experience in this domain so implementation takes only two to three weeks and ROI and user adoption is immediate. The success of the ElegantJ BI solution in the Stock Brokerage market is detailed in ElegantJ BI Case Studies: India-Based Financial Services and Stock Brokerage, Share-Broking and Securities Trading Company.

The ElegantJ BI Business Intelligence suite was listed as a Niche BI and Analytics Vendor in the August 2016, Gartner Competitive Landscape: BI Platforms and Analytics Software, Asia/Pacific Report. ElegantJ BI was also listed in the February 2016 Gartner ‘Market Guide for Enterprise-Reporting-Based Platforms’ as one of Representative Vendors, and in the ‘Gartner Magic Quadrant for Business Intelligence and Analytics Platforms’ Report, in the Other Modern BI Platform Vendors section.

About ElegantJ BI

ElegantJ BI is the flagship BI solution of Elegant MicroWeb, powered by unique Managed Memory Computing technology, and intelligent ‘Design once, Use anywhere’ adaptive UI engine for out-of-the-box roll out for Mobile BI. Its independent product suite analyzes data from any transaction system and has ready-to-use BI apps for verticals like stock brokerage, banking fixed deposit and landing, Logistics – freight forwarders, toll plaza performance management, urban transport management, and for small and medium businesses including finance, inventory, sales, purchasing, HR and production. ElegantJ BI is used by large, medium and small businesses around the world, including Saudi Telecom, Religare Securities, IPCA Laboratories, JMC Projects, Sharekhan, Raychem RPG and many other small and medium size businesses.

Read more: Leading India Stock Brokerage Firms Benefit From ElegantJ BI Solution

]]>
https://www.elegantjbi.com/blog/leading-india-stock-brokerage-firms-benefit-from-elegantj-bi-solution.htm/feed/ 0
Mobile BI Dashboards – ElegantJ BI https://www.elegantjbi.com/blog/mobile-BI-dashboards-video.htm https://www.elegantjbi.com/blog/mobile-BI-dashboards-video.htm#comments Tue, 11 Apr 2017 05:21:09 +0000 https://www.elegantjbi.com/blog/?p=4758

‘Design once, Use anywhere’ Mobile BI Dashboards with adaptive UI that offers seamless user experience on any device.

Visit https://www.ElegantJBI.com for more details.

]]>
https://www.elegantjbi.com/blog/mobile-BI-dashboards-video.htm/feed/ 0
Data Democracy Encourages Social BI and Creates Citizen Data Scientists https://www.elegantjbi.com/blog/2017/04/07/april-7-2017/data-democratization.htm https://www.elegantjbi.com/blog/2017/04/07/april-7-2017/data-democratization.htm#comments Fri, 07 Apr 2017 05:41:08 +0000 https://www.elegantjbi.com/blog/?p=4753 Continued]]> ejbi-blog-aprilDemocracy is a great thing! The more involved people are, the more they understand, the better decisions they can make for themselves and for everyone else AND they can make a better contribution as well. Data Democratization works the same way. In years past, businesses thought that only senior management needed to understand the strategy and direction of the company but employees and team members lacked the knowledge to make the right decisions and become a great asset to the organization.

Today, business intelligence and BI tools are designed to recognize the need for data democratization with mobile tools and user access and controls that allow for appropriate administration and security and enable business users to leverage sophisticated tools and share data. You may have heard of the concept of Citizen Data Scientists! With BI tools that enable Data Democracy, your business users can become Citizen Data Scientists – developing their own reports and formats and using data integrated from systems across the enterprise to obtain information that is meaningful to their job and role within the business.

Data Democracy can also enable the evolution of Social Business Intelligence within your organization, by creating repositories and data sharing and encouraging the creative use of data to gather, analyze and share business intelligence. This collaboration and sharing will result in the rise of data popularity, thereby allowing the organization to understand how, and when, users need and use data and to better serve the needs of their users in ways that will help everyone – across the enterprise – to achieve business results.

If you want to enable Data Democracy, Citizen Data Scientists and Social Business Intelligence, look no further. Start here: Data Democracy and Social BI

]]>
https://www.elegantjbi.com/blog/2017/04/07/april-7-2017/data-democratization.htm/feed/ 0
Deep Dive Dashboards – ElegantJ BI https://www.elegantjbi.com/blog/deep-dive-dashboards-video.htm https://www.elegantjbi.com/blog/deep-dive-dashboards-video.htm#comments Fri, 31 Mar 2017 09:35:14 +0000 https://www.elegantjbi.com/blog/?p=4743

Not just ‘Static Packaged Dashboards’, interactive Dashboards with Deep Dive Analytics to help you find out hidden nuggets from your data.

Visit https://www.ElegantJBI.com for more details.

]]>
https://www.elegantjbi.com/blog/deep-dive-dashboards-video.htm/feed/ 0
Self-Serve Data Preparation: Help Yourself! https://www.elegantjbi.com/blog/self-serve-data-preparation-help-yourself.htm https://www.elegantjbi.com/blog/self-serve-data-preparation-help-yourself.htm#comments Mon, 27 Mar 2017 04:53:30 +0000 https://www.elegantjbi.com/blog/?p=4631 Continued]]> BI-Reporting1

The Self-Serve Data Preparation trend is growing by leaps and bounds. Why? Well, there are a lot of reasons to like Self-Serve Data Preparation and Self-Serve Business Intelligence solutions. Here are just a few:

  • Empowering Business Users
  • Making the Best Use of Resources
  • Using Existing Knowledge and Skill to identify Trends and Patterns
  • Bring agility in the decision making process
  • Reducing time to analyze data by empowering business users do data prep on their own
  • Leveraging BI Tools to Gain Competitive Advantage, Improve ROI and TCO

Business Intelligence vendors have invested time and money in tools that integrate enterprise data and provide dashboards and reports but many of these tools require intervention by programmers or ETL experts or trained analysts. In many instances, there is still a disconnect between the enterprise wishing to embrace self-service and the tools that are touted as self-serve.

So, when it comes to self-serve data preparation, it is no wonder that organizations and business users are frustrated. Self-serve tools must be mobile and user friendly. They must allow business users to perform Data Extraction, Transformation and Loading (ETL) without technical skills. In the past ETL was always performed by the IT staff connecting various data sources, and then extract, transform, and load the data to prepare it for the analysis. To complete these tasks, the IT team would use complex tools and special skills.

If an organization can leverage self-serve data preparation, it can empower its business users with easy-to-use tools that let them connect, mash up, cleanse, reduce, and prepare data on their own without waiting for IT.

True self-serve data preparation allows for appropriate user access and security, quick and easy customization and personalization of reports, dashboards and formats and a true self-serve data preparation environment that allows the user to find, compile, format and analyze data in a way that is meaningful to them and can be shared with others to collaborate on solutions and opportunities.

Self-serve data preparation must allow for data integration and extraction with sophisticated backend operations that allow a user to focus on what is important, rather than on learning the technology or spending hours of training time to learn to use the tool. If your organization really wants to enable self-serve data preparation, the tool must connect, integrate, mashup and analyze data with clear, concise data visualization that allows for quick identification of patterns, trends, issues and opportunities. The solution must allow for swift configuration, drag, and drop data visualization and formatting. But it must also ensure that the business user is collecting and connecting data for accurate, uniform and consistent interpretation.

To fully leverage the knowledge of a business user in their area of expertise, these BI tools must ‘lead’ and guide a user, rather than restrict them. Automation is one thing but a real self-serve data preparation environment allows the user to intervene along the way with the ability to create and view and draw conclusions. Gathering and preparing the data for manipulation and analysis should not be a daunting task but the process cannot be totally devoid of direction or the business user will get lost in the weeds.

If you can make your enterprise data available to business users, you can increase the speed and dependability of decisions and spread the wealth around. Information is wealth, after all and every business users needs information to perform tasks, make decisions, report to management, make recommendations and advance the ball on the playing field.

The challenge for vendors is how to provide all of that information and business intelligence in a self-serve environment that is easy to use and easy to customize to the needs of the organization, the team, and the individual. The user must be able to ‘explore’ data and then prepare it for presentation in a variety of ways.

The business intelligence solution market is already capitalizing on these opportunities but, if these solutions do not take the next step and help users by driving conclusions and recommendations, the self-serve data preparation concept is not fully leveraged. If you have gone the extra mile to create a user-friendly data preparation environment, it only makes sense to further assist the user by recommending formats and presentations to make the data more useful and even suggesting actions and drawing conclusions based on the data. Business users don’t need to know how data integration, data cleansing or data organization work. But, if you want your users to adopt and leverage these self-serve data preparation tools, they do need to understand how to gather and prepare the data for analysis.

So, the ideal self-serve data preparation environment must provide sophisticated technology and tools on the backend and a simple, intuitive dashboard and report environment that encourages business users to dive in, analyze and present information Self-serve data preparation significantly reduces the time required to analyze data and allows business users to share data and collaborate with other users. It also allows for automatic identification of patterns and trends and improves time required to analyze data, and improves time to market, competitive stance, accuracy and speed of decisions.

The benefits of true self-serve data preparation are many, and this approach can and should be considered by small, medium and large enterprises in every industry.

About Kartik Patel

Kartik is the founder and CEO of Elegant MicroWeb, specializing in software services and products. For two decades, Elegant MicroWeb has provided a full suite of innovative offshore technology services, serving clients worldwide, with sustained business partnerships. The flagship ElegantJ BI business intelligence solution offers a Smarten approach to BI, with Plug n’ Play Predictive Analysis, Self-Serve Data Preparation and Smart Data Visualization.

ElegantJ BI was listed as a Representative Vendor in the ‘Gartner Market Guide for Enterprise-Reporting-Based Platforms’, as an Other Relevant Vendor in the Gartner MQ for Business Intelligence and Analytics Platforms, as a Niche BI and Analytics Vendor for the Gartner Report, Competitive Landscape: BI Platforms and Analytics Software Asia/Pacific and a Listed Vendor for Other Vendors to Consider for Modern BI and Analytics, Gartner Report.

Original Source – Self-Serve Data Preparation: Help Yourself!

]]>
https://www.elegantjbi.com/blog/self-serve-data-preparation-help-yourself.htm/feed/ 0
Our Genesis – Team Elegant MicroWeb https://www.elegantjbi.com/blog/our-genesis-team-elegant-microweb.htm https://www.elegantjbi.com/blog/our-genesis-team-elegant-microweb.htm#comments Mon, 20 Mar 2017 04:18:17 +0000 https://www.elegantjbi.com/blog/?p=4566

Team Elegant MicroWeb – Software Product & Services company in Ahmedabad, India. We have a proud history of innovation and it is in our genes. We believe that work can be fun.

Visit http://www.ElegantMicroWeb.com for more details.

]]>
https://www.elegantjbi.com/blog/our-genesis-team-elegant-microweb.htm/feed/ 0
Can You Use Plug n’ Play Predictive Analysis? Yes! https://www.elegantjbi.com/blog/2017/03/09/march-9-2017/plug-n-play-predictive-analysis.htm https://www.elegantjbi.com/blog/2017/03/09/march-9-2017/plug-n-play-predictive-analysis.htm#comments Thu, 09 Mar 2017 06:24:18 +0000 https://www.elegantjbi.com/blog/?p=4550 Continued]]> Plug-n-PlayWhat on earth is Plug n’ Play Predictive Analysis? It’s not a hot single from a new boy band! It IS a surprisingly simple business intelligence tool that can help you plan, predict, see patterns and trends and allow the average business user to function at a higher level with concise information that will help users to make good decisions. Sound good? It is! Trust me, I use it and it has elevated the work and accuracy of the business decisions made by my team!

We use time series forecasting to predict future values with naïve and weighted averaging, moving averages and many other tools. The team has access to causation and prediction algorithms or linear regressions and they can use classification and prediction with decision trees, K-nearest neighbor techniques and more.

To be successful in business, every organization must find a way to accurately forecast and predict the future of its market, and its internal operations, and better understand the buying behavior of its customers and prospects. Plug n’ play predictive and forecasting tools help businesses to create Citizen Data Scientists by enabling the average business user to leverage sophisticated predictive algorithms without the expertise and skill of a trained data scientist, so users who are not statisticians or predictive algorithm experts, can leverage self-service plug n’ play predictive tools to confidently make business decisions.

With the right Plug n’ Play Predictive Analysis BI tool, you can analyze customers, assess customer churn, find cross-sales opportunities, identify the best business locations for expansion, establish and optimize loyalty programs and make the best pricing and competitive choices.

If that sounds like something your business can use, you’ll want to get in touch with the experts: Plug n’ Play Predictive Analysis

]]>
https://www.elegantjbi.com/blog/2017/03/09/march-9-2017/plug-n-play-predictive-analysis.htm/feed/ 0
ElegantJ BI Tools Support Small and Medium Businesses https://www.elegantjbi.com/blog/elegantj-bi-tools-support-small-and-medium-businesses.htm https://www.elegantjbi.com/blog/elegantj-bi-tools-support-small-and-medium-businesses.htm#comments Wed, 01 Mar 2017 06:51:39 +0000 https://www.elegantjbi.com/blog/?p=4540 Continued]]> ElegantJ BI Tools Support Small and Medium Businesses

ElegantJ BI has become a popular business intelligence solution for small and medium sized business (SMEs), and is pleased and proud to support these businesses with simple, affordable, mobile business intelligence analytics, that provide a foundation for growth and competitive advantage.

“The ElegantJ BI customer base includes companies of all sizes – small, medium, and large and in all industries and markets. Our SME customer base is expanding rapidly,” says ElegantJ BI CEO, Kartik Patel. “Much of the reason for this growth is the cost-consciousness of the typical SME business and the suitability of our BI tools that offer cost effectiveness, flexible licensing, lower TCO and high ROI and require minimal training and implementation time.”

The ElegantJ BI team has worked with many SMEs to achieve success in diverse industries, including BI tools for Inspirage IT Solutions, a multi-channel, multi-tier business process outsourcing business with a widespread network that stretches from New Jersey to Mumbai and Visakhapatnam. This business team leverages ElegantJ BI tools to manage internal MIS and customer performance reporting with superior, scalable architecture. JMC Projects is a leading construction and infrastructure development company in India that uses ElegantJ BI to leverage its industry standard architecture and has rolled out ElegantJ BI tools to more than 50 sites and locations.

“Customers like Italia Ceramics, a leading ceramic tile manufacturer and Astral Polytechnic use ElegantJ BI tools for their sales performance and internal MIS and performance management. These customers can leverage ready to use BI Dashboards, reporting and Performance Management templates with KPI and roll out BI in very short time frame of 4 to 6 weeks to their users and stakeholders. This gives unbeatable ROI and TCO for their BI investments,” says Patel. “With Business Intelligence Tools, these customers can consolidate and analyze information from disparate data sources across dozens of locations and companies and include crucial data from ERP, sales, inventory, production management, finance and purchasing. The device independence and mobility of our solution makes it attractive to employees and managers inside and outside the walls of the enterprise.”

ElegantJ BI also provides off-the-shelf, ready to use BI templates and connectors for Tally® – one of the most popular accounting and ERP systems for SMEs. Tally has a customer base of nearly one million, and many of its customers enjoy the benefits of the ElegantJ BI and Tally integration to harness the value of BI tools and transform their business with deep dive analytics and improve corporate performance management.

In today’s competitive markets and industries, SMEs face critical challenges to stay on budget and on target and ElegantJ BI tools offer a mobile, scalable platform for growth at an affordable cost. These BI tools can be implemented in a matter of weeks and require minimal training, so the average business user can engage in analytics and better capitalize on opportunities and solve problems quickly and confidently.

About ElegantJ BI – Business Intelligence India

ElegantJ BI is a flagship BI solution by Elegant MicroWeb, powered by unique Managed Memory Computing technology. This independent product suite analyzes data from any transaction system. It is used by large, medium and small businesses around the world, including Saudi Telecom, IPCA Laboratories, JMC Projects, Italia Ceramics, Astral Polytechnic, Raychem RPG and many other small and medium size businesses.

Read more: ElegantJ BI Tools Support Small and Medium Businesses

]]>
https://www.elegantjbi.com/blog/elegantj-bi-tools-support-small-and-medium-businesses.htm/feed/ 0
Data Preparation and Analysis Don’t Have to be Painful! https://www.elegantjbi.com/blog/data-preparation-analysis-dont-have-painful.htm https://www.elegantjbi.com/blog/data-preparation-analysis-dont-have-painful.htm#comments Wed, 15 Feb 2017 05:11:28 +0000 https://www.elegantjbi.com/blog/?p=4527 Continued]]> Do-not-Create-Data-Governance-Tug-of-War-between-Financial-Pros-and-IT-Staff

Consider the time and effort involved in the ‘old world’ of business intelligence data preparation! How on earth did we ever get anything done? Armies of data analysts and IT staff slaving over data, compiling, analyzing, graphing, charting, taking requests from managers and users and engaging in an endless exchange and interaction to assure that the requirements are understood and met. By the time the data analysis was delivered, it was old, sometimes incomplete and perhaps delivered in a form that might be misinterpreted by its audience.

During the ‘bad old days’ of data analysis, it was not unusual for analysts and IT staff to spend 70% or 80% of their time on the project, and during that time, all other projects were set aside. So, what was the cost of data preparation and analysis? The staffing and resources, the time spent in understanding requirements and then diving into the data (often stored in disparate systems, spreadsheets and data warehouses)!

But, today’s business intelligence gathering and data analysis tools are light years ahead of the old days and these tools allow business users to engage in advanced data discovery, self-serve data prep, self-serve data visualization and plug n’ play predictive analysis, using data from integrated systems and smart technology that offers recommendations for data visualization and techniques that will help the user gather, prepare and analyze data and share and visualize it in a way that is meaningful to them.

Self-serve data preparation and analysis saves money and time! Analysts and IT staff can be called upon to analyze data when a project is complex or requires a professional approach but, on an everyday basis, business users can dive in and do the work themselves without spending hours or days on a report or analysis. They can use the data resulting from this analysis to make decisions and move the organisation forward without the cost, time and resources required in the old data analysis environment.

Imagine what your team (business users, analysts and IT) can do with that extra time and budget! Imagine how much more productive they can be by simply letting these innovative BI tools do the legwork. The cost of data preparation and analysis has always been a cost that was born by organizations because the the enterprise needed answers to crucial questions. But, that cost is significantly diminished by the new crop of self-serve business intelligence tools. Your data analysts spend at least half of every day (sometimes the entire day) working on analytical projects. With one project backed up behind another, their most critical skills and effort cannot be put to good use or focused on the most critical projects. But, if your business users are able to leverage easy-to-use self-serve tools, your data analysts can focus on the most complex and critical projects!

Automate the data cleansing process, and prepare data quickly and easily. Make it available to your organization and take the most time-consuming work out of the hands of your analysts so that they can do the most important work for your organization. By automating the data prep process, and opening up the BI tools to your business users, you can achieve your goals, decrease your expenses and improve the accuracy and clarity of your data!

About Kartik Patel

Kartik is the founder and CEO of Elegant MicroWeb, specializing in software services and products. For two decades, Elegant MicroWeb has provided a full suite of innovative offshore technology services, serving clients worldwide, with sustained business partnerships. The flagship ElegantJ BI business intelligence solution offers a Smarten approach to BI, with Plug n’ Play Predictive Analysis, Self-Serve Data Preparation and Smart Data Visualization.

ElegantJ BI was listed as a Representative Vendor in the ‘Gartner Market Guide for Enterprise-Reporting-Based Platforms’, as an Other Relevant Vendor in the Gartner MQ for Business Intelligence and Analytics Platforms, as a Niche BI and Analytics Vendor for the Gartner Report, Competitive Landscape: BI Platforms and Analytics Software Asia/Pacific and a Listed Vendor for Other Vendors to Consider for Modern BI and Analytics, Gartner Report.

Original Source – Data Preparation and Analysis Don’t Have to be Painful!

]]>
https://www.elegantjbi.com/blog/data-preparation-analysis-dont-have-painful.htm/feed/ 0
Self-Serve Data Prep Puts Users on the Same Page https://www.elegantjbi.com/blog/2017/02/09/february-09-2017/self-serve-data-prep.htm https://www.elegantjbi.com/blog/2017/02/09/february-09-2017/self-serve-data-prep.htm#comments Thu, 09 Feb 2017 05:08:47 +0000 https://www.elegantjbi.com/blog/?p=4514 Continued]]> self-serve data-prepSelf-Serve is all the buzz! Whether you are checking yourself out at a grocery store, ordering your pizza in advance, reserving a seat in a restaurant, driving your car through the car wash or checking out at the hardware store, you just want to do it and get it done! Time is of the essence and usually you are the best person to decide what you need and when you need it. Am I right?

So…when it comes to business intelligence, why not democratize BI with self-serve data preparation tools? If and when a strategic decision has to be made, you can push the task to analysts, data scientists or IT but just imagine how much more smoothly your everyday business would run, how much better your average decisions would be, if your business users could serve themselves! People know how to do their jobs. What they need is up to date information in a way that is easy to digest and format. If you can bring together data from multiple systems and databases and allow users appropriate access and easy-to-use tools to create and share reports, you can ensure that they are using the right information at the right time and that the recommendations they make and the decisions that drive the business will be more accurate and effective.

No more delays, no more out-of-date or incomplete information. Everyone is on the same page. Everyone is empowered and accountable for decisions and, best of all, the work is done in a timely, productive manner with great ROI and TCO. If that sounds good to you, it might be time to find out more about Self-Serve Data Preparation, Advanced Data Discovery and Plug n’ Play Predictive Analysis and see how it can help your organization and users.

]]>
https://www.elegantjbi.com/blog/2017/02/09/february-09-2017/self-serve-data-prep.htm/feed/ 0
White Paper: Citizen Data Scientists Engender Business Success https://www.elegantjbi.com/blog/white-paper-citizen-data-scientists-engender-business-success.htm https://www.elegantjbi.com/blog/white-paper-citizen-data-scientists-engender-business-success.htm#comments Wed, 25 Jan 2017 05:12:10 +0000 https://www.elegantjbi.com/blog?p=4360 Continued]]> This white paper discusses the emergence and importance of Citizen Data Scientists and the role of self-serve data preparation, smart data visualization and plug n’ play predictive analysis in transforming business users into Citizen Data Scientists. Organizations must integrate data from disparate sources, and provide sophisticated, yet easy-to-use tools that recommend report presentations and visualization formats and clearly identify trends to support precise analysis.

download-whitepaper

]]>
https://www.elegantjbi.com/blog/white-paper-citizen-data-scientists-engender-business-success.htm/feed/ 0
Social Business Intelligence: The Next Big Thing! https://www.elegantjbi.com/blog/social-business-intelligence-next-big-thing.htm https://www.elegantjbi.com/blog/social-business-intelligence-next-big-thing.htm#comments Mon, 23 Jan 2017 07:20:10 +0000 https://www.elegantjbi.com/blog?p=4363 Continued]]>

Social networks and social media are ubiquitous! Every aspect of modern life (personal and business) involves sharing and social interaction, whether one is broadcasting information about a recent family event, posting a picture, asking opinions at work or promoting a new product or event.

In the old days, team members and employees shared and discussed information at the water cooler or in the cafeteria. Content Management Systems (CMS) and online meeting software furthered collaboration and sharing and helped business users to come together to review and edit documents and work on projects. And, so it is no surprise that today’s business users expect the same sort of capacity for sharing and collaboration in a business intelligence tool.

Dry reporting and restrictive dashboards no longer serve the purpose of the organization or its users. Driven by the increasing demand for self-serve BI tools and shared resources and knowledge, business intelligence must now support applications of social networking and social media if it is to remain relevant and continue to contribute value to users and enterprises.

Imagine a world where your users can engage in social interaction and collaboration and discuss, rate and comment on data and analytics within reports, dashboards, or key performance indicators (KPIs) – a kind of ‘Face Book for Analytics‘ approach to business intelligence.

The advent of tools like self-serve data preparation, plug n’ play predictive analysis and smart data visualization provide support for business users to leverage sophisticated tools and algorithms in an easy-to-use environment and improve data agility and timeliness. Business users can apply their own domain and role-specific knowledge and skill to data analytics, the availability and access to solid data and creative, concise reporting and data sharing will result in improved user adoption and the emergence of ‘popular’ Citizen Data Scientists and reporting techniques and data presentation.

Users can rate a particular data source, or a particular report or dashboard. Data agility and accessibility is not the same thing as 100% high-quality data produced by analysts or IT resources but for many business applications, self-serve data preparation is just what is needed to achieve good, solid information and perform analysis to make good decisions. Where and when 100% accuracy is required, further research and reporting can be ordered using skilled resources and ETL or DWH techniques. For everything else, self-serve data preparation is a great way to share, rate and popularize data analysis and business intelligence tools and provide timely benefits and return on investment within the enterprise.

Business users can leverage self-serve data preparation in a ‘social networking’ environment that allows for rating, sharing and commenting on data and improves empowerment, accountability and crucial interaction among team members. Your users are no longer looking at dry, static reports in an isolated environment. Instead, they can collaborate and build on the work of others to get the best result and make the best decisions.

Data sharing and rating illustrates the type of data and reporting that is most popular – the data that the most people find the most useful and provides added business value. Understanding the social aspect of data analysis and data popularity, can help IT staff and executives gain insight into what their business user value, and what tools offer the most beneficial support to the organization. This feedback will help the organization plan for additional provisioning, reporting, dashboards, tools, data integration, data watermarking and certification and ETL and DWH configuration, cleansing, and resource management.

This approach allows the organization to balance resources and measure and manage data quality vs. data popularity so that the social aspect of data analysis can work hand-in-hand with the quality data approach to ensure data agility AND data quality.

About Kartik Patel

Kartik Patel is the founder and CEO of Elegant MicroWeb. He originated the ElegantJ BI flagship business intelligence software product, which is a self-serve, mobile BI tool designed to support data democratization and transform business users into Citizen Data Scientists. The ElegantJ BI Advanced Data Discovery, Smarten approach to BI tools, includes Plug n’ Play Predictive Analysis, Self-Serve Data Preparation and Smart Data Visualization. In 2016, ElegantJ BI was listed as Representative Vendor in the ‘Gartner Market Guide for Enterprise-Reporting-Based Platforms’, and noted in the ‘Gartner Magic Quadrant for Business Intelligence and Analytics Platforms.’

Original Source – Social Business Intelligence: The Next Big Thing!

 

]]>
https://www.elegantjbi.com/blog/social-business-intelligence-next-big-thing.htm/feed/ 0
Visualize Business Success with Smart Data Visualization https://www.elegantjbi.com/blog/2017/01/06/january-6-2017/smart-data-visualization.htm https://www.elegantjbi.com/blog/2017/01/06/january-6-2017/smart-data-visualization.htm#comments Fri, 06 Jan 2017 13:31:23 +0000 https://www.elegantjbi.com/blog?p=4354 Continued]]> Visualize Business Success with Smart Data VisualizationCan your eyes be smart? This might seem like a silly question. After all, your eyes don’t have their own intelligence. They depend on your brain to untangle and figure out the solution to a problem and to translate what the eye takes in and make it something you can understand. The ‘ah hah’ moment doesn’t come from the eyes. It comes from the brain, right?

Well, yes, that is true but when you apply this same logic to business intelligence, there is something to be said for visualization. When it comes to BI tools, visualization is more than just an exercise. When you look at data, integrated from multiple sources, you aren’t trying to ‘visualize’ success and hope for the best. You are using visualization to ACHIEVE SUCCESS. Smart Data Visualization can help you to see patterns, trends, problems and opportunities and use that information to accomplish your goals.

Smart Data Visualization goes beyond the obvious to suggest the best options for visualizing and plotting a particular set or type of data, based on the nature, dimensions and trend of data. Perform advanced analytics, using sophisticated tools in an easy-to-use, drag and drop interface, with no advanced skill requirement for statistical analysis, algorithms or technical knowledge and watch the magic happen!

Gather, prepare, integrate and analyze data, find patterns and trends, share findings and apply to strategic, operational and tactical activities. Go beyond data monitoring to ‘discover’ subtle and important factors that will identify issues and patterns, and help the organization capitalize on opportunities. Enjoy the benefits of truly intelligent solution that suggests relationships, identifies patterns, suggests visualization techniques and formats, highlights trends and patterns, and presents predictions.

Give your brain a rest and let your eyes do the work! Visualize success! Start here: Smart Data Visualization

]]>
https://www.elegantjbi.com/blog/2017/01/06/january-6-2017/smart-data-visualization.htm/feed/ 0
Social Networking and Business Intelligence. YES! It is Important! https://www.elegantjbi.com/blog/social-networking-business-intelligence-yes-important.htm https://www.elegantjbi.com/blog/social-networking-business-intelligence-yes-important.htm#comments Tue, 27 Dec 2016 12:36:20 +0000 https://www.elegantjbi.com/blog?p=4346 Continued]]> EJBI-SMM

Let’s talk about the application of social media and social networking within the Business Intelligence environment. This might seem like an odd concept but give it some thought. Every consumer and business user is now used to the idea that they can share, rate, discuss and learn from others. This idea has become an expectation and it could and should apply to Business Intelligence and to your business users as well!

A BI tool that supports mobile, self-serve data preparation, plug n’ play predictive analysis and smart data visualization will provide business users with sophisticated tools and algorithms that are easy-to-use and provide access to data that is easy to share and personalize. Business users can use these tools to become Citizen Data Scientists and in so doing, an organization will begin to see the emergence of power users who take a creative, insightful approach to data analysis. When users can share this data in reports and dashboards, the next logical step is to allow those users to comment on, share, and recommend data, reports and analysis.

Just as social media users can ‘Like’ or ‘Share’ a provocative post from another user, a social business intelligence tool can support the same kind of sharing and learning within your organization. As power users, and data analysis, become ‘popular’, the enterprise will see improved user adoption of BI tools and, more importantly, will begin to understand what types of data users value, and how to provide and present data to improve data leverage, and increase confidence in decisions.

Understanding the social aspect of data analysis, and data popularity, can help IT staff and executives gain insight and offer the most beneficial support to the organization. This feedback allows the enterprise to make decisions about additional provisioning, reporting, dashboards, tools, data integration, data quality watermarking, ETL and DWH cleansing and configuration, and skilled resource management.

Imagine an environment where users can access a business intelligence and analysis portal and see popular data to rank and share and comment. This type of sharing can optimize resources by allowing users to access reports and data that might be just what they need to complete a task or analysis. If they don’t have to reinvent a report, they can optimize their time. Popular, agile data and analysis can also free up your IT resources and data scientists to perform more important tasks. If and when business users need high quality, 100% concise data, they can reach out to skilled resources to improve upon or create reports and analysis for the most crucial decisions.

Consider the daily decisions made in your organization! Many of those decisions do NOT require 100% accurate data. Rather, they require agility and enough, solid data and analysis to see a trend or a pattern or spot an opportunity or a challenge. Users want to drill down and dive into data without having to ask for help from IT or an analyst. This agility will move your organization along with dependable data and prevent delays. Sharing this agile data environment and creating a social network of users to use, rate and comment on the data will allow for learning, sharing, collaboration and an increased understanding of interrelationships and dependencies within the enterprise.

By balancing high-quality (IT curated) data with ‘popular’ self-serve data preparation, in a social/sharing environment, your organization can balance resources and measure and manage data quality vs. data popularity so that the social aspect of data analysis can work hand-in-hand with the quality data approach. Sharing, rating, ranking, commenting and popularizing data will usher in the new generation of business intelligence analysis and make every market more competitive and successful.

About Kartik Patel

Kartik Patel is the founder and CEO of Elegant MicroWeb. He originated the ElegantJ BI flagship business intelligence software product, which is a self-serve, mobile BI tool designed to support data democratization and transform business users into Citizen Data Scientists. The ElegantJ BI Advanced Data Discovery, Smarten approach to BI tools, includes Plug n’ Play Predictive Analysis, Self-Serve Data Preparation and Smart Data Visualization. In 2016, ElegantJ BI was listed as Representative Vendor in the ‘Gartner Market Guide for Enterprise-Reporting-Based Platforms’, and noted in the ‘Gartner Magic Quadrant for Business Intelligence and Analytics Platforms.’

Original Source – Social Networking and Business Intelligence. YES! It is Important!

]]>
https://www.elegantjbi.com/blog/social-networking-business-intelligence-yes-important.htm/feed/ 0
ElegantJ BI Included in Gartner Nov., 2016 Report, ‘Other Vendors to Consider for Modern BI and Analytics’ https://www.elegantjbi.com/blog/elegantj-bi-business-intelligence-included-in-gartner-nov-2016-report.htm https://www.elegantjbi.com/blog/elegantj-bi-business-intelligence-included-in-gartner-nov-2016-report.htm#comments Thu, 22 Dec 2016 07:06:50 +0000 https://www.elegantjbi.com/blog/?p=5070 Continued]]> ElegantJ BI Included in Gartner Nov., 2016 Report, ‘Other Vendors to Consider for Modern BI and Analytics’
ElegantJ BI, a leader in Business Intelligence and Corporate Performance Management solutions, is pleased to announce that its suite of Business Intelligence and Performance Management tools was listed as an Other Modern BI Platform Vendors in the Gartner ‘Other Vendors to Consider for Modern BI and Analytics’ report, dated November 3, 2016.

CEO, Kartik Patel says, “We are honored that the ElegantJ BI business intelligence solution was included in the Gartner ‘Other Vendors to Consider for Modern BI and Analytics’ report. We recognize the important innovations and evolution of this market and we look forward to our continued involvement in this exciting market.”

ElegantJ BI offers complete business intelligence and performance capabilities in one integrated technology solution. The solution targets business user empowerment with self-serve deep dive analytics, with a rich, forward-looking product roadmap that encompasses Self-Serve Data Preparation, Advanced Data Discovery and Plug n’ Play Predictive Analytics in the hands of business users and transforms them into Citizen Data Scientists.

“The ElegantJ BI team has established a product and service roadmap that will advance innovation and serve business users and organizations in all kinds of organizations,” Patel says. “Our user-centric, self-serve approach to business intelligence is designed to expand the boundaries of self-serve analytics while ensuring appropriate data governance and security.”

The ElegantJ BI approach to business intelligence is informed by the belief that the future of business analytics and data-driven decision-making should be in the hands of the business user and the forward-thinking enterprise that believes in individual empowerment, accountability and collaborative success.

In 2016, ElegantJ BI was listed as a Representative Vendors in the ‘Gartner Market Guide for Enterprise-Reporting-Based Platforms’, and noted as an Other Relevant Vendors in the ‘Gartner Magic Quadrant for Business Intelligence and Analytics Platforms.’

Gartner, ‘Other Vendors to Consider for Modern BI and Analytics’

Analyst(s): Rita L. Sallam, Cindi Howson, Kurt Schlegel, Joao Tapadinhas, Thomas W. Oestreich, Shubhangi Vashisth

Published: 3 November 2016

Gartner, ‘Market Guide for Enterprise-Reporting-Based Platforms’

Analyst(s): Rita L. Sallam, Josh Parenteau, Cindi Howson, Kurt Schlegel , Thomas W. Oestreich, Joao Tapadinhas, Shubhangi Vashisth

Published: 16 February 2016

Gartner, ‘Magic Quadrant for Business Intelligence and Analytics Platforms’

Analyst(s): Josh Parenteau, Rita L. Sallam, Cindi Howson, Joao Tapadinhas, Kurt Schlegel, Thomas W. Oestreich

Published: 04 February 2016

Disclaimer: Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization, and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About ElegantJ BI:

ElegantJ BI is the flagship business intelligence software product of Elegant MicroWeb, a self-serve, mobile BI tool designed to support data democratization and transform business users into Citizen Data Scientists. The ElegantJ BI Advanced Data Discovery, Smarten approach to BI tools, includes Plug n’ Play Predictive Analysis, Self-Serve Data Preparation and Smart Data Visualization. Business Intelligence India Company ElegantJ BI delivers you the power of Advanced Data Discovery and Advanced Analytics embedded within Self-Serve Business Intelligence.

Read more: ElegantJ BI Business Intelligence Included in Gartner Nov., 2016 Report, ‘Other Vendors to Consider for Modern BI and Analytics’

Related Posts:

– ElegantJ BI Included in Gartner ‘Market Guide for Traditional Enterprise Reporting Platforms’, September 2017

– ElegantJ BI Solution Included in August 4, 2017 Gartner ‘Other Vendors to Consider for Modern BI and Analytics’ Report

– ElegantJ BI Included in Gartner Nov., 2016 Report, ‘Other Vendors to Consider for Modern BI and Analytics’

– Gartner Report, Competitive Landscape: BI Platforms and Analytics Software, Asia/Pacific Lists ElegantJ BI as Niche BI & Analytics Vendor

– ElegantJ BI Listed as a Representative Vendor in the Recent Gartner Market Guide for Enterprise-Reporting-Based Platforms

– ElegantJ BI in Gartner Market Guide and Magic Quadrant for BI – 2016

 

]]>
https://www.elegantjbi.com/blog/elegantj-bi-business-intelligence-included-in-gartner-nov-2016-report.htm/feed/ 0
Welcome, Citizen Data Scientists https://www.elegantjbi.com/blog/2016/12/16/december-16-2016/citizen-data-scientists.htm https://www.elegantjbi.com/blog/2016/12/16/december-16-2016/citizen-data-scientists.htm#comments Fri, 16 Dec 2016 06:25:13 +0000 https://www.elegantjbi.com/blog?p=4334 Continued]]> I recently attended a business intelligence conference and I was reminded how important data democratization is for every company. One of the most important things to consider is how crucial it is to give your business users good, easy-to-use tools for smart visualization, plug n’ play predictive analysis and self-serve data preparation. It is one thing to SAY you want your business users empowered and accountable. It is another to expect them to use tools that are designed for IT or analysts or to leverage dashboards that are restrictive and frustrating.

If you want your business to make better, more timely decisions with full confidence in data and clear insight into the real issues, challenges and opportunities, you have to give users what they need. As they adopt the tools, and create and share reports and analysis, data and users will become popular and in sharing, the team will learn and create solutions that are far better than you expect and hope.

There are times when you’ll want your analysts or IT team to create reports and help you analyze data but, on a day-to-day basis, companies have already proven the importance of giving analytical capability to their business users. Most decisions can and should be made by your team using their knowledge, skill and specific expertise to gather and interpret data and make decisions. These days, we call the informed, capable business user, a Citizen Data Scientist! These ‘citizens’ are better equipped to help you build your business and they are more engaged because they understand where they fit in the business and can clearly see how their efforts and decisions affect the future of the company.

Sounds like something we all want, right? If you want to give it a try, you can start here: Smarter/Better/BI

]]>
https://www.elegantjbi.com/blog/2016/12/16/december-16-2016/citizen-data-scientists.htm/feed/ 0
Guarantee BI Success: Achieve! Accomplish! Do it Right! https://www.elegantjbi.com/blog/guarantee-bi-success-achieve-accomplish-do-right.htm https://www.elegantjbi.com/blog/guarantee-bi-success-achieve-accomplish-do-right.htm#comments Mon, 05 Dec 2016 11:12:00 +0000 https://www.elegantjbi.com/blog?p=4325 Continued]]> shutterstock_209215846

In our first article in the two-article series, entitled ‘Guarantee BI Success: Why Self-Serve BI Initiatives Fail’, we talked about the various factors that can dictate the success or failure of a self-serve business intelligence solution implementation. Factors like poor User Adoption, Data Access, Features and Benefits, Self-Serve Analytical Capability, Data Sharing and Reporting, Cost vs. Benefit, and Data Discovery issues must be considered in order to ensure the success of your self-serve business intelligence initiative.

In this article, we will consider the various actions and tasks an organization should undertake to assure the success of BI tools, user adoption and comprehensive business benefits. Do it right the first time, and you will save time and resources and avoid budget overruns. You will also ensure that you do not lose the trust of business users, IT staff and executives. Do it right the first time and gain a competitive advantage over the competition!

Detailed Requirements

If your organization is truly invested in the idea of data democratization and self-serve business intelligence, the project team must go beyond vendor selection and project timing to engage in a detailed review of requirements. From technical issues like infrastructure and network and hardware requirements to user skills, mobile device requirements, device-specific performance constraints, and data governance, data access and data structure, every aspect of scalability, performance, usability, flexibility and data and information privacy and protection is important. As with ANY software implementation, it is important to take the time to get a comprehensive picture of your needs. While you are at it, be sure to consider the aspect of the unknown. You may not be able to anticipate growth in your user volume, the number of locations you want to support or the types or sizes of the devices you need to support. So, be sure to include a requirement for future growth.

Consider advanced analytical requirements like Plug n’ Play Predictive Analysis, Self-Serve Data Preparation and Smart Data Visualization. You may not think you need these right now, but trust me, you do! The more sophisticated the features, the more leverage your business users and analysts can apply. When your organization can dive deep into data and spot trends and patterns, your team will gain valuable insight into the market, the competition and buying behaviors.

Data Source and Data Structural Review

Review ALL data sources, data warehouses, ERP, HR, CRM, best-of-breed, legacy systems, cloud storage and spreadsheet data sources and make a determination as to what data you will integrate and include and whether you want to ‘watermark’ or label selected data in an IT curated environment to allow business users to easily determine what data is ‘certified’. Remember that a self-serve data preparation and BI initiative is designed to democratize data and provide access to business users. Once you open up your data to users, you will want to ensure appropriate access at appropriate levels and identify data to be included in reports so as to clarify data context and ensure confident decisions. Look at unstructured and structured data and decide how you will handle the compilation and management of this data within the business intelligence environment. When you review vendor capabilities, look carefully at their support, scalability, integration capacity and out-of-the box configuration to determine how well the solution meets user and organizational requirements. All Self-Serve Business Intelligence solutions are NOT created equal when it comes to the accommodation of multiple data sources and integrated reporting capabilities.

User Involvement

Find out how your business users are currently analyzing information. Do they ask for IT or analyst assistance in creating reports? If so, the reports they receive probably don’t provide the most current, complete data. Do they use Excel? If so, can you replace their favorite tools with an easy-to-use business intelligence solution that satisfies their need for easy report compilation and sharing and, in the process, add sophisticated tools and algorithms that will go beyond their current expectations? Select a tool that allows for easy sharing and collaboration and find out what kinds of data your users want to see, how they want to see it, what kinds of mobile devices they will want to use to access the data and how they wish to personalize alerts, reports and sharing. Assess user skills and select a vendor that can accommodate all user skills without a lot of training. If you want to guarantee user adoption, you must look for features and benefits that will delight your business users and help you to optimize your IT and analyst resources. This will make your implementation cost-effective and ensure additional productivity.

IT Involvement

It may seem obvious to say that you must involve IT, but it bears repeating. The IT team will provide crucial information on your existing data sources and environment and on data governance and data access concerns. They will require a business intelligence solution that allows for easy maintenance, monitoring and management of user access and data integration. They will also want assurances related to scalability, performance and the impact on the IT environment. There is another reason to involve the IT team. You will want to gather information on how a high-performance, dependable self-serve BI tool will help the IT team by optimizing their time and allowing them to focus on other core activities. If the IT team does not have to spend a lot of time satisfying unique report requirements and performing ETL and DWH queries, that time can be spent elsewhere and that productivity should be reflected in the self-serve BI benefits you present to your management team.

Analyst Involvement

If you have an individual analyst or a team of analysts, you will want to involve them as well. Just as you did with the IT team, you can poll the analyst team to find out their concerns and solicit information regarding the optimization of their time and how they can leverage the self-serve BI environment to make better use of their time and to decrease the number of business user inquiries they must satisfy. Double check with this team to find out which data sources and repositories they use, and gain a better understanding of the number and type of ETL and DWH queries they field.

Budget and Timing Factors

When an enterprise decides to pursue a self-serve BI initiative, they usually want to complete the project quickly so that they can leverage the tools for competitive advantage, empower users, and hold them accountable AND improve their bottom line with clear, concise decisions and analysis. But, it all comes down to budget and timing. When selecting a vendor, you must consider the work, customization, out-of-the-box capability, training and other implementation, configuration and licensing factors involved in a given implementation. What will it cost in time and money if you have to migrate or upgrade? Will it take weeks, months or years to complete the implementation?

So, you’ve taken all the steps you need to assure the success of your self-serve data preparation and data discovery tool. Your business intelligence tool is going to help you make history. But, just what benefits can you really expect? Well, if you selected the right tool, you are in for a great surprise. Features that allow business users to see patterns and find unique ‘nuggets’ of information will allow your organization to apply domain and industry knowledge and skill and see data in a way that is meaningful to find the answer that can change your business world!

  • Smart data visualization bridges the gap between the ‘usual’ business intelligence (BI) and takes your business users all the way to advanced analytics, without the need for expert assistance from IT or analysts.
  • Self-serve BI tools allow for consistency, data sharing and collaboration and assure that everyone is on the same page. When business users can discuss and interpret data in a dependable environment, they will have confidence in the clarity and accuracy of the data. Everyone is using the same tool in the same, uniform environment so there is no risk of confusion.
  • The IT team will have the tools they need to assure appropriate data governance and user management and to allow for easy, high-performance data access in a mobile environment.
  • Users can access sophisticated BI tools without a lot of training. Drag and drop reporting and personalized reporting and alerts will make those users more productive and happier!

These are just a few of the benefits you will reap from your self-serve business intelligence initiative. If you take the time to do it the right way, there is no limit to what you can achieve, and your users, managers, analysts and IT team will be happier and more productive!

About Kartik Patel

Kartik Patel is the founder and CEO of Elegant MicroWeb. He originated the ElegantJ BI flagship business intelligence software product, which is a self-serve, mobile BI tool designed to support data democratization and transform business users into Citizen Data Scientists. The ElegantJ BI Advanced Data Discovery, Smarten approach to BI tools, includes Plug n’ Play Predictive Analysis, Self-Serve Data Preparation and Smart Data Visualization. In 2016, ElegantJ BI was listed as Representative Vendor in the ‘Gartner Market Guide for Enterprise-Reporting-Based Platforms’, and noted in the ‘Gartner Magic Quadrant for Business Intelligence and Analytics Platforms.’

Original Source – Guarantee BI Success: Achieve! Accomplish! Do it Right!

]]>
https://www.elegantjbi.com/blog/guarantee-bi-success-achieve-accomplish-do-right.htm/feed/ 0
White Paper – Avoid Data Anarchy: Balance BI Analytics with Data Governance https://www.elegantjbi.com/blog/avoid-data-anarchy-balance-bi-analytics-with-data-governance.htm https://www.elegantjbi.com/blog/avoid-data-anarchy-balance-bi-analytics-with-data-governance.htm#comments Fri, 18 Nov 2016 04:28:05 +0000 https://www.elegantjbi.com/blog?p=4282 Continued]]> When considering the various factors that will influence data governance policies and procedures, businesses must reckon with the reality of open access, multiple platforms, expanding user devices, integrated data repositories and the burgeoning growth of self-serve business intelligence and data democratization. Before an enterprise engages in a discussion of data governance, data security and appropriate user access, it is important to understand the concept, and importance, of data governance, and how it contrasts to the chaos of data anarchy.

download-whitepaper

]]>
https://www.elegantjbi.com/blog/avoid-data-anarchy-balance-bi-analytics-with-data-governance.htm/feed/ 0
Guarantee BI Success: Why Self-Serve BI Initiatives Fail https://www.elegantjbi.com/blog/guarantee-BI-success.htm https://www.elegantjbi.com/blog/guarantee-BI-success.htm#comments Wed, 16 Nov 2016 08:41:37 +0000 https://www.elegantjbi.com/blog?p=4277 Continued]]> KP-success-failure-ar-10

Many organizations have invested time and effort in launching a self-serve business intelligence initiative, only to find that the initiative has failed to deliver the anticipated results. When this happens, organizations often struggle to understand why and how things went wrong. There are numerous reasons for a self-serve BI tool initiative to fail or to fall short of expectations. In this article, we will discuss some of the factors that affect the success of business intelligence solution implementation. This article is the first in a two article series, entitled ‘Guarantee Business Intelligence Success’, related to the success and failure of self-serve BI Initiatives.

User Adoption

If business users are not given the incentive to adopt these tools, it is difficult to see the benefit of self-serve business intelligence across the enterprise. Poor user adoption can result from any number of issues. Users may find the tools too difficult to use, or they may find that the value of the tools doesn’t measure up to the hype. In some organizations, the IT team or skilled analysts are responsible for deciding the types of dashboards and reports users may access and the flexibility of the dashboards and access. Users have an expectation regarding ease-of-use and they will determine the feasibility of using BI tools versus the old tried and true methods. If the value of the data, analysis and decision support is not persuasive, your business users will not adopt these business intelligence tools.

Data Access

If the implemented self-serve business intelligence tools do not allow for easy integration of data sources from best-of-breed, ERP, HR, CRM, data warehouses (DWH) and other data sources, business users will quickly determine that the data they can compile and analyze is incomplete and will provide inaccurate or out of date information. If it is difficult to access tools in a mobile environment, and seamlessly access data and reports on all device types and sizes, your users are unlikely to leverage and benefit from the new BI tools.

Features and Benefits

When your enterprise considers self-serve BI tools, it must look carefully at the features and benefits of these tools and compare them to the requirements and needs of the IT organization (for data governance and data watermarking, as appropriate), and for users at all levels including executives, analysts and business users. By providing a full suite of features with sophisticated functionality, and a true self-serve environment, the organization can encourage and support data democratization. Tools like Personalized Dashboards, deep dive analytics with drill down and drill through capability, key performance indicators (KPIs), Balanced Scorecards, What If Analysis, Graphical Analysis, Alerts and Cube Management will support business users and allow them to prepare and share data across teams and to make confident decisions thereby providing numerous benefits to the organization and its bottom line.

Self-Serve Analytical Capability (see Data Discovery)

Not every business intelligence solution supports true, self-serve data analysis. If users must depend on IT or on skilled analysts to perform inquiries and provide reports, they lose precious time and may end up with incomplete data or data that isn’t quite what they needed. Because business needs change every day, there is no way to anticipate every need. If a business user can leverage his or her skills, knowledge and domain expertise to create and format reports, they will have the information they need to see trends, patterns and opportunities and to address issues before they become problems. Tools like Self-Serve Data Preparation, Plug n’ Play Predictive Analysis and Smart Data Visualization allow users to become Citizen Data Scientists and ensure that the organization will gain the benefits they expect from the new BI tool.

Data Sharing and Reporting

Self-Serve business intelligence tools should easily support data sharing to improve collaboration and teamwork and assure that everyone can see the data analysis and participate in the process. Reporting must be easy and quick with drag and drop capability to create reports that are meaningful to a particular audience and clearly illustrate the analysis, options and recommendations made by the users.

Cost vs. Benefit

At the end of the day, business intelligence solutions (like any other software or tool) must provide low total cost of ownership (TCO) and rapid return on investment (ROI) and they must fulfill the promise of the expected benefits and meet the requirements of the organization. Out-of-the-box industry and business solutions for financial, manufacturing, and other verticals allow an enterprise to quickly ramp up activity and business users can jump in with both feet. Browser-based, self-serve tools that provide mobile access will optimize usage and assure that the organization can keep moving toward its goals. Seamless upgrades and migration provide fundamental support for future growth and requirements.

Data Discovery

Finally, the organization should select a BI tool that goes beyond data monitoring and management to engage in Data Discovery. As mentioned in the Self-Serve Analytical Capability section above, the enterprise must provide an environment where business users can leverage their knowledge to analyze and build on results and gain valuable insight. By enabling data exploration and discovery, the enterprise ensures that users can find high-value ‘nuggets’ of information and look at data in a variety of ways to truly ‘see’ what is happening. Data Discovery bridges the gap between the traditional business intelligence environment and a rich research environment that will encourage user adoption and assure extreme value for the organization.

There are many reasons to consider self-serve business intelligence tools but if an organization is going to undertake this type of initiative, it is important to learn from the mistakes of other businesses and understand the various factors that will affect success. Not every so-called ‘self-serve BI tool’ provides solid support for true self-serve, data democratization. In order to ensure success in a self-serve BI initiative, the organization must include IT requirements for data access and governance and user management, as well as business user needs for sophisticated, easy-to-use, mobile tools that allow for self-serve data preparation, plug n’ play predictive analysis, and smart data visualization.

Our second article in this series is entitled, ‘ Guarantee BI Success: Achieve! Accomplish! Do it Right!’ This article discusses consider the various actions and tasks an organization should undertake to assure the success of BI tools, user adoption and comprehensive business benefits.

About Kartik Patel

Kartik Patel is the founder and CEO of Elegant MicroWeb. He originated the ElegantJ BI flagship business intelligence software product, which is a self-serve, mobile BI tool designed to support data democratization and transform business users into Citizen Data Scientists. The ElegantJ BI Advanced Data Discovery, Smarten approach to BI tools, includes Plug n’ Play Predictive Analysis, Self-Serve Data Preparation and Smart Data Visualization. In 2016, ElegantJ BI was listed as Representative Vendor in the ‘Gartner Market Guide for Enterprise-Reporting-Based Platforms’, and noted in the ‘Gartner Magic Quadrant for Business Intelligence and Analytics Platforms.’

Original Source – Guarantee BI Success: Why Self-Serve BI Initiatives Fail

]]>
https://www.elegantjbi.com/blog/guarantee-BI-success.htm/feed/ 0
BI Tools: Integrate, Embed and SUCCEED! https://www.elegantjbi.com/blog/2016/11/15/november-15-2016/embedded-business-intelligence.htm https://www.elegantjbi.com/blog/2016/11/15/november-15-2016/embedded-business-intelligence.htm#comments Tue, 15 Nov 2016 05:38:04 +0000 https://www.elegantjbi.com/blog?p=4275 Continued]]> There is one thing I know about people and that is that they like things to be simple and easy. If your favorite shopping area is a mile from your house, you won’t drive an extra five miles to get to that great store on the outskirts of town. You might drop by if you happen to be in the neighborhood, but the business owner can’t count on your business on an ongoing basis.

The same is true of your business intelligence solution. If the solution is ‘out of the way’ or hard to use, if it isn’t integrated with enterprise apps, if it doesn’t bring critical information into a one-stop shop environment, your team will not want to use the solution, no matter how powerful it may be (no matter how much time and money you spent to implement the solution).

The name of the game is ease-of-access and ease-of-use. The idea is to make it easier for your team to gather and analyze data and move on to make a confident decision, and complete the tasks they have to accomplish by the end of the workday. What you need is an integrated, embedded BI tool that will support your business users out of the box; one that is mobile and accessible, and has sophisticated tools, but is easy to use, and access. Who wants to deal with multi-platform hassles? NO ONE!

When you consider a business intelligence solution, remember the example I gave about shopping convenience. You are building a self-serve business intelligence environment that will encourage user adoption and make it easy for users to bring together data from enterprise systems. You WANT people to ‘shop’ in your BI store! Right?

Oh, and there is one other advantage to adopting the integration and embedded approach to BI tools; namely that your IT team will find it easier to maintain and manage the solution and to plan for future needs and growth without spending a lot of time and money trying to ‘make it work’.

Get it right the first time! Don’t be the business owner struggling to survive on the outskirts of town! Integrate and embed BI into the enterprise and its applications and encourage user adoption and IT team satisfaction! Ready to Use Business Intelligence

]]>
https://www.elegantjbi.com/blog/2016/11/15/november-15-2016/embedded-business-intelligence.htm/feed/ 0
ElegantJ BI Announces Real Time Cube Capability for Swift Decision-making https://www.elegantjbi.com/blog/elegantj-bi-announces-real-time-cube-capability-for-swift-decision-making.htm https://www.elegantjbi.com/blog/elegantj-bi-announces-real-time-cube-capability-for-swift-decision-making.htm#comments Wed, 09 Nov 2016 05:13:30 +0000 https://www.elegantjbi.com/blog?p=4270 Continued]]> ElegantJ BI Announces Real Time Cube Capability for Swift Decision-making

ElegantJ BI announces Real Time Cube Management for its BI tools. In addition to its existing MOLAP architecture, and connection with MDX data sources like Microsoft® SSAS and SAP® BW cubes, ElegantJ BI now offers real time cubes to derive data for deep dive analytics in real time and make swift, confident decisions to benefit the enterprise.

The ElegantJ BI cube engine enables connection to disparate data sources, databases, CSV files and MDX data sources like Microsoft® SSAS and SAP® BW cubes.

Kartik Patel, CEO of ElegantJ BI says, “The addition of real time capabilities enables users to connect to data sources in real time, to compile the data for fast performance and to perform deep dive analysis using personalized dashboards, KPI, ad hoc analysis, drag and drop reports and graphical mining. While the pace of change is more rapid than ever, the typical analytical tools do not allow for equally swift analysis and business decisions. Real Time Cube Management provides crucial benefits to businesses trying to compete in a rapidly changing business landscape.”

Consider the number of events happening right now that can and do affect your business. A customer may be visiting your store or your website and making buying decisions that you need to understand. There may be a security breach in your business. There may be a trending story about your company or your industry. You may be running short of inventory at a time when customers want to buy a particular item. Businesses must reach to real time events but, without real time analysis, the business team is helpless to capitalize on opportunities or address challenges or issues.

“Just as stock brokers use real time information to make trade decisions, business users and managers must have access to real time data analytics if they are to compete in today’s business markets,” says Patel. “Our real time cube management technology allows users to integrate disparate data sources and present intuitive, custom views in a browser-based environment that is easy to use and requires minimal user training so they can easily manage, organize, filter and analyze information from multiple data sources, transactional applications or any other legacy database system.”

About ElegantJ BI

ElegantJ BI is a flagship BI solution by Elegant MicroWeb, powered by unique Managed Memory Computing technology. This independent product suite analyzes data from any transaction system. It is used by large, medium and small businesses around the world, including Saudi Telecom, IPCA Laboratories, JMC Projects, Sharekhan, Raychem RPG and many other small and medium size businesses.

Read more: ElegantJ BI Announces Real Time Cube Capability for Swift Decision-making

]]>
https://www.elegantjbi.com/blog/elegantj-bi-announces-real-time-cube-capability-for-swift-decision-making.htm/feed/ 0
IT and Accounting Pros Can Satisfy Standards and Security Compliance and Reporting with BI Tools https://www.elegantjbi.com/blog/IT-and-accounting-pros-can-satisfy-standards-and-security-compliance.htm https://www.elegantjbi.com/blog/IT-and-accounting-pros-can-satisfy-standards-and-security-compliance.htm#comments Tue, 25 Oct 2016 04:43:58 +0000 https://www.elegantjbi.com/blog?p=4265 Continued]]> In the new world of government regulation, the technology (IT) team and accounting team are both required to monitor, manage and report on financial and regulatory and business process compliance. These auditing requirements are meant to ensure that financial, planning and operational systems are adequately controlled and protected. Industry and governmental compliance requirements are meant to ensure the adequacy and integrity of auditing processes and regulatory compliance including business processes designed to ensure compliance, as well as document management, content management, data consolidation, reporting processes and other facets of business, data, customer, user and systems management.

In an environment with numerous systems, databases and data repositories, it can be challenging to gather, monitor, manage and report on these results. The average organization does not have the desire or the funding to add resources, or create additional business process to accommodate these reporting and compliance responsibilities and tasks.

With the right Business Intelligence tools, any organization (whether small or large) can ensure compliance and simplify this management and reporting process so that critical IT and accounting resources are not diverted from other crucial business activities. Audit and control requirements can encompass data design, modeling and analysis, business process management, IT and systems management, data governance, auditing, fraud and risk management, project management methodologies and processes, financial management and reporting, and other factors. That is a lot to cover and for the average organization, there are no additional resources to accomplish these compliance and reporting activities.

Accountants and IT teams can ensure compliance with security, privacy, regulations, business process integrity, data governance, and user access. Business Intelligence solutions can integrate a diverse set of data and information software and solutions and provide a single point of access for review, analysis and reporting. BI tools also allow the organization to establish and manage key performance indicators (KPIs), balanced scorecards, forecasts, reports, personalized alerts and drill-down and drill-through capabilities to analyze data in a way that is meaningful to the task at hand, namely, to manage and report on compliance and controls.

BI tools can transform complex, time consuming compliance analysis and reporting into a well-conceived, well-managed process that is swift, intuitive and accurate, thereby allowing IT and accounting professionals to ensure and achieve compliance and attend to other critical tasks and obligations.

The key to compliance is information. It is imperative that organizations have swift, clear access to the information needed to identify and resolve issues and ensure that there are no surprises. If accounting professionals and IT staff can gather and analyze data and establish alerts and thresholds to notify them of critical developments, the organization can mitigate risk and comply with standards and regulation.

Original post: IT and Accounting Pros Can Satisfy Standards and Security Compliance and Reporting with BI Tools

]]>
https://www.elegantjbi.com/blog/IT-and-accounting-pros-can-satisfy-standards-and-security-compliance.htm/feed/ 0
Look, But Don’t Touch! The Gap Between Data Visualization & Data Discovery! https://www.elegantjbi.com/blog/gap-between-data-visualization-and-data-discovery.htm https://www.elegantjbi.com/blog/gap-between-data-visualization-and-data-discovery.htm#comments Mon, 24 Oct 2016 08:51:33 +0000 https://www.elegantjbi.com/blog?p=4260 Continued]]> look-but-dont-touch-kp

At some point in your life, you have probably been told to ‘look, but don’t touch.’ When it comes to business intelligence, the flaw in the logic of solution design often subjects business users to this same philosophy. With most BI tools (even those we call ‘self-serve’), we limit the users to looking but we don’t allow them to touch and manipulate the data for deep dive analysis.

Let’s look at the data analysis environment provided to business users by most popular business intelligence tools. These tools give design and development access to developers and business analysts who then create packaged dashboards used by business users for data visualization, with restricted access to drill down and filtering.

While it is certainly true that Dion, the Sales Manager will want to see reports that tell him whether his team members are reaching their goals for the month, he may also want to explore and analyze the problem of slumping sales in the Western region. He might want to consider the value and timing of training programs and how they impact sales conversions. But, if he is using a packaged dashboard, he can’t drag and drop to add columns of data, or add data from other systems. He can’t create personalized alerts to tell him when thresholds have been met or exceeded. What if he wants to import data from other sources or perform ad hoc manipulation of his own data? What if he wants to change data operations and views? Why would a business want to frustrate its business users? Your users have a very important goal in common with the organization and that is to succeed. If they do their job well, they are a real asset to the company and your business will grow in the bargain.

To accomplish this common goal, you need to move beyond data visualization and bridge the gap to get to true data discovery and deep dive analysis. But, how can you do that when many of the current BI tools provide two different tools to satisfy dashboard requirements and data discovery? These tools are targeted to two different user types: 1) those who consume information and 2) those who analyze data and then create and produce information to advance knowledge and growth. The problem is that your business users need to consume AND create, if they are to be empowered and held accountable for results.

Desktop-based BI tools provided by these popular BI tools are primarily used by developers and analysts for data discovery, while their browser based dashboards are used for information consumption by business users. This segmentation of tools and solutions is very restricting for business users who are limited to static dashboards and views. In other words, ‘look, but don’t touch’. True self-serve BI tools like ElegantJ BI, offer business users the ability to consume and create because they allow for deep dive analysis. Business users can combine data, find the root cause of a problem, identify an opportunity, a trend or pattern and test strategies and theories with simple, sophisticated analytical tools that provide graphical views and personalized ad-hoc reporting options.

BI tools must allow users to quickly view data displays in a dashboards and then dive into data discovery and analysis (all in the same environment). Without these flexible, accessible tools, business users are reduced to the old, frustrating, ‘look, but don’t touch’ scenario, and that isn’t good for anyone!

About the Author:

Kartik Patel is the Founder and CEO of Elegant MicroWeb. Domain expertise is in Enterprise Software Applications, Business Intelligence, Enterprise Performance Management & Enterprise Governance via Technology.

We are constantly looking to build and groom partnership and client network across the globe to deliver value of technology through software products & services.

ElegantJ BI is flagship product of Elegant MicroWeb, and is powered by unique Managed Memory Computing and ‘Design once, Use Anywhere’ intelligent UI engine that offers seamless experience for Deep Dive Analytics across devices – Desktops, Tablets, Mobiles.

Original Source – Look, But Don’t Touch! The Gap Between Data Visualization & Data Discovery!

]]>
https://www.elegantjbi.com/blog/gap-between-data-visualization-and-data-discovery.htm/feed/ 0
Case Study: India-Based Financial Services and Stock brokerage Firm Achieves BI Coverage https://www.elegantjbi.com/blog/case-study-BI-for-financial-services-group-in-india.htm https://www.elegantjbi.com/blog/case-study-BI-for-financial-services-group-in-india.htm#comments Fri, 14 Oct 2016 06:54:56 +0000 https://www.elegantjbi.com/blog?p=4252 Continued]]> A Financial Services firm with more than 700,000 daily transactions in more than 500 locations across India was using a variety of BI tools, spreadsheets and MIS solutions, resulting in cumbersome reporting, data consolidation and security, and programmer and analyst dependencies. With ElegantJ BI, they rolled out BI to a large number of users across India with complete data security and integrity.

download-casestudy

]]>
https://www.elegantjbi.com/blog/case-study-BI-for-financial-services-group-in-india.htm/feed/ 0
Great Data Governance and Self-Serve BI – YES! It’s Possible https://www.elegantjbi.com/blog/2016/10/10/october-10-2016/Great_Data-Governance.htm https://www.elegantjbi.com/blog/2016/10/10/octob