ElegantJ BI Blog https://www.elegantjbi.com/blog Simply Smarter! Tue, 28 Jun 2022 15:57:43 +0000 en-US hourly 1 https://wordpress.org/?v=4.3.28 Attention Software Companies: Embed BI Analytics and Win! https://www.elegantjbi.com/blog/attention-software-companies-embed-bi-analytics-win.htm https://www.elegantjbi.com/blog/attention-software-companies-embed-bi-analytics-win.htm#comments Tue, 28 Jun 2022 15:50:23 +0000 https://www.elegantjbi.com/blog/?p=8693 Continued]]> attention-software-companies-embed-bi-analytics-and-winWhy Spend Time and Money Developing BI? Embed BI in Your Software Product!

The research and technology consulting firm, Gartner predicts that ‘By 2023, overall analytics adoption will increase from 35% to 50%, driven by vertical and domain-specific augmented analytics solutions.’ Whether your software business produces solutions or modules for a vertical market, a specific industry or a government or public service market, building an analytical solution to serve your clients or partners is an expensive, complicated proposition and one that will require significant funding and skilled resources.

‘Having a built-in analytics solution that can be adopted without extensive training and used in a single sign-on environment to access analytics from within your existing software solution will increase customer satisfaction and put you ahead of the competition.’

In this article, we discuss just a few of the advantages of embedding BI and augmented analytics within your existing software in an OEM or ISV relationship.

Don’t Develop Your Own BI. Embed BI as an OEM or ISV Partner

Time to Market

Once your company has decided to become more competitive by adding augmented analytics into the mix, you face the issue of getting to market quickly enough to get the jump on your competitors and provide unique, user-friendly tools that your clients will value. Instead of building a solution or attempting to customize integration, it is more efficient and timely to use an embedded BI product, one with integration APIs that will allow you to build the simple connections and get started right away, ensuring rapid time to market with dependable, proven products.

Support for Users

Software businesses are keenly aware of reputation and customer satisfaction. You get one chance to impress and you won’t want to choose a product or solution that makes claims and then falls short. Features and functionality are important of course, but dependability, scalability, security and other factors must be considered in order to meet user expectations. You want to choose a solution that is supported by the service provider and will be upgraded and maintained to keep pace with the market – one that is easy to use; one that the users will WANT to adopt.

Cost-Effective

When it comes to business decisions, everything comes down to cost. Choosing a solution that leverages APIs to establish integration and ensure easy access is important. Providing a single sign-on (SSO) environment where users can access their favorite software and leverage augmented analytics, will provide an impressive return on investment (ROI) for clients and for the OEM or ISV and will improve total cost of ownership (TCO) and value to the customer or user. When comparing the cost of acquiring a proven, existing augmented analytics solution to the cost of building one in-house or spending the money to customize integration with your modules and solution, there is no doubt that the ease of integration APIs and access to databases and data sources is faster, less expensive and more effective for users and for your software company.

‘Once your company has decided to become more competitive by adding augmented analytics into the mix, you face the issue of getting to market quickly enough to get the jump on your competitors and provide unique, user-friendly tools that your clients will value.’

Software companies face the increasing challenges of market expectations, customer satisfaction and competitive strategies. Having a built-in analytics solution that can be adopted without extensive training and used in a single sign-on environment to access analytics from within your existing software solution will increase customer satisfaction and put you ahead of the competition.

Leverage the Smarten approach to Embedded BI And Integration APIs to add powerful functionality and provide access to existing ERP, SCM, HRMS, CRM or any other products and to provide analytics capabilities within existing products without major Investment. Reduce time to market and stay ahead of the competition!

Original Post : Don’t Develop Your Own BI. Embed BI as an OEM or ISV Partner!

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Improve Financial Accuracy with Tally ERP Analytics! https://www.elegantjbi.com/blog/improve-financial-accuracy-tally-erp-analytics.htm https://www.elegantjbi.com/blog/improve-financial-accuracy-tally-erp-analytics.htm#comments Fri, 24 Jun 2022 11:19:48 +0000 https://www.elegantjbi.com/blog/?p=8673 Continued]]> improve-financial-accuracy-with-tally-erp-analyticsWhat Insights Can My Business Gain from Integrated Tally Mobile Analytics?

Tally® ERP is a popular finance and accounting solution used by many team members in many businesses. It provides modules to support inventory management, purchasing, sales professionals, accountants, finance managers and other expense and revenue related functions responsible for taxes, statutory reporting etc.

The McKinsey consulting firm reports that organizations with fast and efficient decision-making processes are twice as likely to report financial returns of at least 20% as a result of recent decisions.

‘Taking your Tally ERP solution beyond data entry and standard reporting allows your finance and accounting professionals to gain insight and achieve results.’

When a business wishes to support its team members and provide more value and more effective financial decision-making, it should consider adding integrated analytics to its Tally environment. Augmented Analytics, designed specifically to support business users with no data science skills, provides an opportunity for businesses and business professionals to mitigate risk and to improve revenue and results.

In this article, we discuss a few of the ways in which integrated augmented analytics can work within the Tally ERP environment to provide valuable insight and support innovation, problem solving and business agility.

How Can My Business Use Tally ERP and Analytics to Improve Results?

Sales

By adding integrated augmented analytics and pre-built reports to support professionals in their efforts, the business can gain insight into sales in a way that is not possible with standard reporting. Businesses can establish key performance indicators (KPIs) to drive results, and identify trends for a particular sales region, individual, product line, customer segment or regional or channel-specific marketing initiative.

Payable and Receivables

Augmented Analytics can provide insight into payables and receivables, segmented by creditors and debtors, by product or product line revenue, by service offering, etc. Businesses can track wholesale and partner collections and spot trends in overdue invoices. Where the business has established a threshold for payable and receivable completion, managers can stay abreast of issues and identify the root cause of problems that will affect their metrics.

Cost Centers

The cost center dashboard is a key report that displays balances and progress by cost center groups and accounts and by ledger relevance and association. The ledger provides classic and detailed views of entries and balances and allows for drill down to the individual voucher level to examine and analyze entries. Meeting budgetary goals and objectives and monitoring and managing cost centers allows finance managers to identify and understand where and how a particular cost center is exceeding or falling short of expectations and address those issues to stay on track.

‘When a business wishes to support its team members and provide more value and more effective financial decision-making, it should consider adding integrated analytics to its Tally environment.’

These are just a few examples of how businesses can gain insight and provide actionable reporting to improve results. Taking your Tally ERP solution beyond data entry and standard reporting allows your finance and accounting professionals to :

  • Perform financial statement analysis and understand the current financial position of the business.
  • Review income statements and compare results to expected performance to inform annual reporting and stay on track
  • Provide forecasts to estimate the financial impact of proposed initiatives and projects and ensure positive return on investment (ROI)
  • Monitor budgets, resources and deliverables and report on performance
  • Dive into cash flow and profit margins to determine the root cause of shortfalls or identify opportunities for growth

Find out how the addition of SmartenApps For Tally will support your accounting-related analytical initiative and bring your team and your business to the next level. Users can Download And Register for SmartenApps for Tally and use Tally data to analyze, explore and clarify.

What Insights Can My Business Gain from Integrated Tally Mobile Analytics?

Original Post : How Can My Business Use Tally ERP and Analytics to Improve Results?

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Embedded BI Can Encourage Data Literacy! https://www.elegantjbi.com/blog/embedded-bi-encourage-data-literacy.htm https://www.elegantjbi.com/blog/embedded-bi-encourage-data-literacy.htm#comments Wed, 22 Jun 2022 13:36:37 +0000 https://www.elegantjbi.com/blog/?p=8663 Continued]]> embedded-bi-can-encourage-data-literacyTechnology research and consulting firm, Gartner, predicts that, ‘By 2023, data literacy will become an explicit and necessary driver of business value, demonstrated by its formal inclusion in over 80% of data and analytics strategies and change management programs.’

One of the best ways to encourage and improve data literacy is to implement a digital transformation strategy that encourages business users to leverage data from across the enterprise to analyze results, understand the impact of activities and anticipate trends and to present recommendations and results using metrics and information based on fact-based analysis.

‘When faced with the challenge of improving data literacy and enabling digital transformation, the business would do well to consider the Embedded BI with integration APIs approach.’

But how does an organization encourage the use of data analytics and help business users to become more comfortable with the use of data? Every team member is overloaded with tasks and responsibilities and every team member is likely to use software to accomplish these tasks. These software solutions are familiar and often times are a crucial part of workflow, helping the user to capture and monitor data and to check approvals, orders, project status etc.

So, if your team is already used to enterprise, best-of-breed or legacy systems, why not add integrated analytics via embedded business intelligence? Through the use of APIs, these BI tools can be embedded in the enterprise application and accessible via a single sign-on through the user’s favorite software application. So, the user does not have to learn a new software product or visit a separate app to get the job done. They can work within the confines of a familiar software solution to gather and analyze data and produce clear results.

You can enable r business intelligence data democratization and alleviate user frustration with solutions and access to improve user adoption of business intelligence tools, and ensure collaboration, data sharing and fact-based decisions.

Users WILL Adopt Embedded BI and Augmented Analytics

Embedded BI and Augmented Analytics includes traditional BI components like dashboards, KPIs, Reports with interactive drill-down, drill through, slice and dice and self-serve analytics capabilities. It is also supported by advanced analytics components including natural language processing (NLP) search analytics, and assisted predictive modeling to enable the Citizen Data Scientist culture.

Benefits of Embedded BI

The benefits of Embedded BI and Augmented Analytics are numerous. Here are a few for your to consider:

  • Improve overall organizational value.
  • Provide unique solutions and analytics integration without significant investment
  • Improve user adoption and ROI for BI investments and for existing technology and software investments
  • Support rapid implementation and deployment – quick, efficient and simple!
  • Provide embedded BI and access to timely data for public websites, to deliver crucial updates and analytics
‘How does an organization encourage the use of data analytics and help business users to become more comfortable with the use of data?’

When faced with the challenge of improving data literacy and enabling digital transformation, the business would do well to consider the Embedded BI with integration APIs approach, as it will ease the transition for business users and encourage them to adopt tools that will help them on a day-to-day basis.

Find out more about Augmented Analytics and the benefits of Embedded BI. We can help your business succeed and improve user adoption and data literacy.

Original Post : Users WILL Adopt Embedded BI and Augmented Analytics!

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Smarten Augmented Analytics Receives CERT-IN Certification for Its Products and Services! https://www.elegantjbi.com/blog/smarten-augmented-analytics-receives-cert-in-certification-products-services.htm https://www.elegantjbi.com/blog/smarten-augmented-analytics-receives-cert-in-certification-products-services.htm#comments Fri, 17 Jun 2022 13:56:37 +0000 https://www.elegantjbi.com/blog/?p=8654 Continued]]> Smarten announces the recent certification of its Smarten Augmented Analytics Software product by CERT-IN. CERT-IN, or the Indian Computer Emergency Response Team, is an India government-approved organization for upholding information technology (IT) security, and is a well-renowned application security standard, respected within the technology community. It was initiated in 2004 by the Department of Information Technology for implementing the provisions of the 2008 Information Technology Amendment Act. CERT-IN certification is provided by a CERT Empaneled Security Auditor following a detailed security audit to review all components of the organization network including websites, systems, applications, etc. After completion of the testing procedure, the certificate is provided to show that all requirements were met.

Smarten Augmented Analytics Receives CERT-IN Certification for Its Products and Services

Smarten CEO, Kartik Patel says, “The CERT-IN certification for our Smarten suite of software products is an important credential. Our team is honored to receive this acknowledgement of our process and our methodologies, and the application security standards our team has implemented on the Smarten platform. Our clients can take comfort in the credibility and the dependable products and services this certification ensures.”

The Information Technology Amendment Act of 2009 designated CERT-IN as the national agency to perform functions for cyber security, including the collection, analysis and dissemination of information on cyber incidents, as well as taking emergency measures to handle incidents and coordinating cyber incident response activities. CERT-IN also issues advisories, guidelines and white papers for security practices. As a certified CERT-IN service and product provider, Smarten adds additional security assurances to its already rich foundation of security measures and methodologies to support clients, partners and stakeholders.

“The CERT-IN review and evaluation process provides a comprehensive and crucial validation of our products and services, and assures that our clients can be confident in our team, our processes, and our methodologies and the data and application security validation the CERT-IN certification assures,” says Patel.

The CERT-IN certification increases and improves security and provides a multi-layered approach to ensure that Smarten products and services are in compliance with privacy, regulatory and security standards.

Contact the Smarten team for more information on Smarten Augmented Analytics solution.

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 PreparationSentiment Analysisand 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. Smarten is listed in multiple Gartner Reports including Gartner Data Preparation Report, the Market Guide for Enterprise-Reporting-Based Platforms and the Gartner Magic Quadrant for Business Intelligence and Analytics Platforms Report for the ElegantJ BI Business Intelligence Suite.

Original Post : Smarten Augmented Analytics Receives CERT-IN Certification for Its Products and Services!

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3 Ways Cross-Tab BI Can Improve Reporting! https://www.elegantjbi.com/blog/3-ways-cross-tab-bi-improve-reporting.htm https://www.elegantjbi.com/blog/3-ways-cross-tab-bi-improve-reporting.htm#comments Thu, 16 Jun 2022 13:07:00 +0000 https://www.elegantjbi.com/blog/?p=8641 Continued]]> 3-ways-cross-tab-bi-can-improve-reportingBy some estimates, a business will experience a three-month lag between the time a report is produced and the point at which the enterprise sees improvement or results from the changes the report recommends or predicts. If the reporting is unclear or unconvincing, the recommendations may never be implemented and the report will sit in a file on someone’s computer.

‘Understanding relationships in data can help users understand the root cause of a problem, targeting an issue or opportunity.’

There are many ways in which a business can improve the effectiveness of its reporting but, perhaps the easiest and most effective way is by producing clear, insightful results that point the way toward action and change.

In this article, we discuss three (3) factors of self-serve reporting access and cross-tab, business intelligence reporting tools that will improve reporting and provide access to the very vital information used for analysis and decision-making.

3 Self-Serve Cross-Tab BI Reporting Features to Help Your Biz

Cross-Tab Reporting Designed for Business Users

Self-Serve BI tools with cross tabular reporting provide a 360° view of the business to provide objective metrics and help users to quickly determine whether the organization, department, or team is achieving its goals. Integration with data extraction, cube management features, and ad-hoc queries and BI reporting ensures a clear view of performance. Business users have access to analytical tools that can produce summary, detail, graphics, charts, and reports with ease to satisfy weekly, monthly or other reporting requirements. Users do not have to wait for IT or data scientists to create reports but rather can dive in and explore data, visualize and produce reports that will best represent results and support conclusions and recommendations.

Flexible Views, Filters and Report Formats

Provide users with sophisticated, complex functionality in a simple user interface that is integrated with enterprise systems and sources and provides precise, cross-tab or tabular reports without technical assistance.

  • Dynamic analysis design
  • Interactive, easy-to-use analysis design wizard
  • Multiple page dimension filter
  • Runtime retrieval parameter on loading analysis
  • Drill-up, drill-down and through
  • Graphical view of analysis
  • User defined rows and columns
  • Spot lighters with color
  • Data Value – Display Value Mapping
  • Sorting and ranking of rows and columns
  • Group and ungroup rows and columns
  • Value mapping for user friendly display of data
  • Access to central cube repository objects
  • Cell notes and table notes with private or public option
  • Cell format with resizing and renaming
  • Sharing and Publishing
  • Exports: PDF, CSV, XML, JPEG, XLS
  • Publishing and Delivery agent

Interactive Features and Personalization

When you consider data democratization and rolling out a BI tool or analytical solution to your team members across the enterprise, you have to think about how to ensure that team members can easily adopt analytics and use them in their day-to-day tasks with a clear understanding of the results. Static dashboards and restrictive analytics reporting can confuse a user and undermine the goals of a data democratization and business user analytics initiative. A solution that provides flexible reporting and ad-hoc queries will help your team members gather, analyze and understand data and results. Look for a solution that provides cross-tab analytics for a deep dive analytics experience that will help your users leverage data and gain confidence in the use of an analytics solution. Cross-tab reporting provides a view of multi-dimensional data and the ability to perform ad-hoc queries to gain a clear view of performance, deep dive into your data, and easily slice and dice data, to find and understand relevant Information. It simplifies complex data operations, summary operations, time series functions, filters and custom column expressions.

‘A business can improve the effectiveness of its reporting by producing clear, insightful results that point the way toward action and change.’

With cross-tab analysis users can analyze the relationship between or among two or more variables and to summarize data in rows and columns and easily see the intersection of data points. Understanding relationships in data can help users understand the root cause of a problem, targeting an issue or opportunity. The enterprise can use this insight to manage business and identify patterns, trends, and sensitivity for things like pricing and more.

Find out how Self-Serve Business Intelligence Tools and Deep Dive, Cross-Tab, Flexible Reporting Tools can support data democratization and improve your business results. Let us help you achieve your vision and improve productivity and insight across the organization.

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Please Consider Your Business Users When Selecting an Analytics and Data Search Tool! https://www.elegantjbi.com/blog/business-users-selecting-analytics-data-search-tool.htm https://www.elegantjbi.com/blog/business-users-selecting-analytics-data-search-tool.htm#comments Wed, 15 Jun 2022 11:22:39 +0000 https://www.elegantjbi.com/blog/?p=8632 Continued]]> please-consider-your-business-users-when-selecting-an-analytics-and-data-search-tool-bannerThis article should serve as a plea on behalf of the average business user!

Business users are business professionals who have expertise in an industry or market arena or perform a function to support the ongoing operation of the business – professionals who may be front line workers on a production line, finance professionals, sales representatives, non-profit office workers, medical researchers, middle managers, regional managers for retail chains, transportation dispatchers or…well, you get the idea. These team members know their job and they do it well. But, they probably don’t have the technical skills to write a SQL query, or to filter out the columns and fields for an analytical search in order to get the results they need to make a decision.

If you want to improve results, ensure fact-based decisions, increase data literacy, improve productivity and collaboration and ensure great ROI and TCO (not to mention improving user adoption and user satisfaction), look for augmented analytics solutions with NLP AND context-driven search capability.

So, again, this article will serve as a plea on behalf of the average business user. When you choose an analytical tool to support the needs of your organization, choose a tool that is easy enough for every team member to use. If you want your business to improve productivity and data literacy, if you want to improve data democratization and you intend to provide self-serve analytical tools for use by the average team member, choose a tool that is designed to make life as easy as possible for each of those team members.

Please Consider Your Business Users When Selecting an Analytics and Data Search Tool

Every employee is also a consumer in the real world and they are used to easy tools. They know how to search for something on Google and get the results they need. The reason they can do this is simple: the tools provided for this purpose are designed for human interaction. You ask a question…you get an answer.

But, analytical tools often fail to provide that same support.

While there are plenty of analytical tools out there, and some great augmented analytical tools that offer guidance and suggestions to users, the concept of Natural Language Processing (NLP) may not be engaged in a way that supports the same Google type search mechanism.

And, when we take the NLP concept one step further and provide context, we give business users the ultimate, easy-to-use, analytical tool.

That tool will ensure that they adopt the technology and use it to make decisions every day, thus supporting rapid ROI and low TCO and improving productivity and fact-based decision-making.

Moreover, you will make your business users happy. No one wants to struggle to find the information they need to do their job or to find out after they make a decision that there was information that would have led them in a different direction and improved the outcome. But, business users are not IT professionals or data scientists. They know their job and they may be expert in legal issues, financial investment, sales, marketing or any number of other professional pursuits, but they don’t get paid to focus on technology. So, if you want to empower them and hold them accountable for their decisions, give them the tools they need to easily find information.

Ask a question…get an answer. Find the information you need and gain insight into issues.

Here are just a few examples of how context-driven NLP searches can inform your business users and help them make decisions:

  • Ask a question to compare costs: ‘What is the cost of goods for producing washing machines in Arizona vs. Arkansas?
  • Ask a question that reveals ‘most’ or ‘least’, ‘high’ or ‘low’: What was the highest temperature in Arizona in 2019 and when did it happen?
  • Ask a question about a point in time without the need for specific dates: How many silk blouses were sold during Christmas season in 2016 vs. 2018?
  • Ask about sales without specifying a sales rep name or a specific product: Who sold the most fruit in Phoenix, Arizona in the first quarter of 2018?

As you can see, this type of context-driven searching allows the average business user to ask a question, using standard human language and following a thought or concept they have, without having to translate this question into a system query or programming language. So, your users can do their job, get the answer they need to improve results and go on with their day.

That concludes my plea on behalf of your business users.

If you want to improve results, ensure fact-based decisions, increase data literacy, improve productivity and collaboration and ensure great ROI and TCO (not to mention improving user adoption and user satisfaction), look for augmented analytics solutions with Natural Language Processing (NLP) AND context-driven search capability.

Original Post : Please Consider Your Business Users When Selecting an Analytics and Data Search Tool!

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Do I Need Both BI Tools and Augmented Analytics? https://www.elegantjbi.com/blog/bi-tools-augmented-analytics.htm https://www.elegantjbi.com/blog/bi-tools-augmented-analytics.htm#comments Fri, 10 Jun 2022 15:35:41 +0000 https://www.elegantjbi.com/blog/?p=8622 Continued]]> do-i-need-both-bi-tools-and-augmented-analyticsWhy You Need Both BI Tools and Augmented Analytics and What to Consider When Selecting a Vendor

According to a West Monroe Partners’ survey, 68% of business and technology leaders surveyed don’t believe their competitors are leveraging data successfully. Obviously, when it comes to your competitive market space, your business does not want to exist in that 68% of the pie chart! Your senior execs and managers want to leverage data and information to gain a competitive advantage and succeed.

Recent studies have focused on the trends in business intelligence and augmented analytics, predicting that businesses will grow analytics within the enterprise with:

  • Augmented Analytics to enable non-technical business users to create sophisticated data models.
  • Data Privacy to ensure government and industry regulations are in compliance as business users adopt self-serve BI tools.
  • Self-Serve Business Intelligence that integrates data from disparate data sources and makes it available for mobile access.
  • Social BI Tools that allow for sharing of data, alerts, dashboards and interactivity to support decisions, enable online communication and collaboration.
  • Data Discovery including self-serve data preparation, smart data visualization with charts, graphs and other visualizations for clarity and decisions.
  • Predictive Modeling to support business needs, forecast, and test theories.
  • Embedded BI to allow users to sign in to familiar enterprise apps and leverage APIs to integrate analytics within that application for intuitive use.
  • Cloud and Mobile Access to make business intelligence, data models and data sources accessible from anywhere.

As you review the list of predictions above, note that traditional and modern BI tools and Augmented Analytics with Natural Language Processing (NLP) and machine learning seems destined to co-exist for the foreseeable future. Each of these approaches provides a unique and critical support foundation for business users and for the organization.

‘When considering all the features and functionality you want for your business, you must also be aware that it will be more cost effective and timely to select a BI tool and an augmented analytics solution that do not require custom integration or separate maintenance and support approaches.’

In this article, we will discuss the importance of Business Intelligence and Augmented Analytics and a few select factors the business should consider when choosing a service provider or vendor solution.

Traditional business intelligence is focused on reporting and queries, whereas advanced analytics is focused on the analysis of structured and unstructured data to optimize, correlate and predict the activities and strategies that will help the business succeed and to predict results.

Combine BI Tools and Augmented Analytics for Business Success

Business Intelligence

Dashboards

A BI tool is crucial for business users to monitor and present data. Business users should have the ability to design personalized dashboards in minutes, without knowledge of any programming or SQL queries. Users should have access to stunning visualizations, alerts for exceptions and trends, and deep dive analysis using highly interactive dashboards. When reviewing your BI tools options, avoid static, restrictive packages and look for a tool that will allow business users the ability to use interactive, self-serve dashboards for deep dive capability.

Key Performance Indicators (KPIs)

KPIs allow the business to establish and monitor KPIs for objective metrics. Users must be able to define KPIs with an easy to use, powerful expression engine and set polarity, frequency, and threshold levels using a browse- based interface. KPI Analytics provide interactive options to change frequencies, dimension break downs and drill down to further analyze trends, and reasons for performance and non performance.

Cross-Tab Reporting

Business users need easy-to-use, flexible tools that will allow for Cross-tab analytics offers a 360 degree view of your multi-dimensional data with ad-hoc queries and BI reporting so you can take full advantage of Business Intelligence with a clear view of corporate performance and ability to slice and dice data, drill down, drill up and drill through to find the most relevant Information.

Real Time and Cached Cube Management

Business users need flexible options for data access and management so you can choose the option that is best for your use case scenario. You should be able to connect to data sources using simple wizard-based connection interface. Real-time cube management connects to data sources in real time, and compiles data for fast performance to deliver real time analytics to users. Cached cube management provides high performance analytics on pre-aggregated data and provides other computations for superior performance and analytics, refreshing data from data sources at a defined frequency.

Intuitive Reporting

Your business needs web-based BI reports that are simple to use, practical to implement and affordable for every organization. Users should be able to point-and-click and drag-and-drop and instantly create a report to summarize your performance metrics, or operational data, all in a self-serve environment without programming or database or SQL skills and automate publication and delivery of these reports via email, thereby improving productivity and ensuring that information reaches the right people at the right time.

Augmented Analytics

Self-Serve Data Preparation

Users with average skills can perform data preparation and transform, shape, reduce, combine, explore, clean, sample and aggregate data, without the need for SQL skills, ETL or other programming language.

Assisted Predictive Modeling

Users get predictive modeling capability assisted by 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. Users can apply predictive analytics to any use case using forecasting, regression, classification, clustering and other algorithms.

Smart Data Visualization

Business users can interact easily with data discovery tools and analytics software and build a view that will tell a story using guided visualization and recommended data presentation so there is no need for assistance or delays. Guided recommendations are made based on data type, volume, dimensions, patterns and nature of data.

Sentiment Analysis

Users can leverage Natural Language Processing (NLP), text analytics, and computational linguistics to identify and analyze sentiment, opinion and responses and can be used for text analysis to gain insight into how and why people make choices and what they are really thinking and categorize feedback as positive, negative and neutral sentiments. The process is simple, and is designed for business users, and does not need any scripting or coding.

Key Influencer Analytics

Focus on what matters and find the most relevant influencers for your target KPIs. Business users often find it difficult to identify the right targets and to understand relationships and factors that influence results. Point to the dataset you want to analyze and the system will identify the target variable and influencers that matter achieving objective.

Clickless Analytics

A familiar Google-type interface where a user can compose and enter a question using common human language. 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.

Auto Insights

Allows business users to simply select the dataset to be analyzed and let the system interpret the dataset, select important columns of data, analyze its type and variety and other parameters and use intelligent machine learning to automatically apply the best algorithm and analytical technique and provide data insights.

Anomaly Monitoring and Alerts

Reveal trends, anomalies, and answers, map your targets, focus on influencers that matter, adapt and succeed. Prescribe for improvement! Support the evolving role of Citizen Data Scientists with interactive tools that allow a business user to establish key performance indicators (KPIs) and receive auto-suggestions and alerts on changing contributions and the impact of influencers on the target, and related anomalies and volatility.

When considering all the features and functionality you want for your business, you must also be aware that it will be more cost effective and timely to select a BI tool and an augmented analytics solution that do not require custom integration or separate maintenance and support approaches. Working with a vendor that can support your business with both modern business intelligence and KPI tools, as well as augmented analytics and advanced analytics features and functionality will allow your enterprise to provide appropriate tools for each of your business users, and deliver these tools in one platform and application. . And, it’s all in one platform and application!

‘Traditional business intelligence is focused on reporting and queries, whereas advanced analytics is focused on the analysis of structured and unstructured data.’

Explore the advantages of Augmented Analytics Products And Services, and Traditional And Modern BI Tools. Let us help you implement a solution that will be suitable for your team members and your business results.

Original Post : Combine BI Tools and Augmented Analytics for Business Success!

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Smarten Support Portal Updates – May – 2022! https://www.elegantjbi.com/blog/smarten-support-portal-updates-2022.htm https://www.elegantjbi.com/blog/smarten-support-portal-updates-2022.htm#comments Thu, 09 Jun 2022 15:16:32 +0000 https://www.elegantjbi.com/blog/?p=8615 Continued]]> smarten-support-portal-updates-may-2022We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. Installation & Deployment : Bypassing Smarten executable files from Antivirus Scan
  2. Others: Configuring SSL Certificate for Smarten

Predictive Use cases

  1. Medical Cost Prediction Using Smarten Assisted Predictive Modelling

Forum Topics

  1. How to add SSL certificate to the Smarten BI Portal?

Manuals and Technical Guides

  1. Smarten-Working-with-Sentiment-Analysis
  2. Smarten-Working-with-Key-Influencers

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

Original Post : Smarten Support Portal Updates – May – 2022!

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Citizen Data Scientists Can Help You Achieve Your Goals! https://www.elegantjbi.com/blog/citizen-data-scientists-achieve-goals.htm https://www.elegantjbi.com/blog/citizen-data-scientists-achieve-goals.htm#comments Wed, 08 Jun 2022 16:23:36 +0000 https://www.elegantjbi.com/blog/?p=8598 Continued]]> citizen-data-scientists-can-help-you-achieve-your-goalsThink of What Citizen Data Scientists Can Do to Help Your Business!

Whether you have recently been nominated to become a Citizen Data Scientist or you are considering the value of this type of transition for your business, managers and team members alike often ask exactly what a Citizen Data Scientist can do. According to technology research firm, Gartner, the number of Citizen Data Scientists will grow at five times the rate of traditional data scientists. If that’s the case, there must be something to this trend, right?

‘Citizen Data Scientists can create new models, share models and collaborate, thereby improving business results and data literacy.’

In this article, we provide some examples of what a Citizen Data Scientist can do to advance the goals and interests of the organization and optimize their productivity and performance. What follows is a short list of sample use cases that leverage predictive analytics. These examples will help the reader to better understand how business users can leverage augmented analytics to perform tasks, refine results and make fact-based decisions on a daily basis.

What Can a Citizen Data Scientist Do to Improve Results?

Predicting Demand

If a business wishes to optimize inventory, production and supply, it must have a comprehensive demand planning process; one that can forecast for customer segment growth, seasonality, planned product discounting or sales, bundling of products, etc. In order to predict and forecast and assure product or service availability, the business must also look at the dependability of suppliers, shipping and the purchasing of parts that make up the products. It must also plan for appropriate resources and training and, where necessary, plan for new products. Predictive analytics uses data integrated from appropriate data sources, and augmented analytics allows the business to anticipate production demands, plan for new locations and markets and predict targeted customer buying behavior and changes in product demand across multiple market segments. Assisted predictive modeling is easy enough for every business user and will allow team members to plan at the department, divisional, unit and company level for manufacturing, logistics, travel and hospitality, and product and service sales and marketing. Businesses invest significant funding in inventory and warehousing and shipping and every step along the supply chain. Where demand can be optimized, the business will alleviate the issue of inventory shortages or overages and will optimize production and distribution to improve the bottom line and ensure that customers are satisfied.

Analyzing Customer Churn

The cost of acquiring and interacting with customers is one a business must fund and, every time the business loses a customer (customer churn), it must spend more money to replace that customer. Every business wishes to identify the issues that most often cause a customer to leave. Dissatisfied customers often close an account or choose another service provider without explaining their decision. The business wants to use predictive analytics to identify those customers who were most likely to leave and develop processes and strategies to improve customer retention and reduce customer churn. The business will use the tools provided in assisted predictive modeling to identify customers who are likely to leave, and their issues, improve services and processes and increase customer retention.

Anticipating Machine Maintenance Needs

Sooner or later, all machines will fail and monitoring the condition of equipment is crucial for any enterprise as any unplanned downtime can have greater economic impact resulting in reduced productivity and ultimately loss of customers. Anticipating the need for repairs, allows the business to schedule downtime and control risk and exposure, to order parts so that the enterprise does not experience delays or emergencies or incur additional costs for rush shipments, etc. machine in a good condition is to timely monitor it and detect the patterns to predict the breakdowns. Predictive maintenance of machines helps in evaluating the timely collected machine data in order to gauge its condition and predict when maintenance work is needed. If the enterprise is to succeed, it must strive for accuracy and identify trends and patterns to predict future results and mitigate risk and downtime.

Citizen Data Scientists can use many types of algorithms and techniques to analyze, identify trends, predict, forecast and problem solve. The use cases listed here are meant to give the reader an idea of what business users can do with the right augmented analytics tools. These tools are sophisticated yet easy to use and will allow business users to analyze data, integrated from disparate sources, without the assistance of IT or data scientists.

‘Business users can leverage augmented analytics to perform tasks, refine results and make fact-based decisions on a daily basis.’

Citizen Data Scientists can dive into data, using tools that will alleviate frustration and delays. They can create new models, share models and collaborate, thereby improving business results and data literacy.

Transforming business users into Citizen Data Scientists, provides advantages to the organization, to the business users and to data scientists. Citizen Data Scientist Training provides a solid foundation and builds business user confidence by providing an introduction and fundamental information on Predictive Analytics and other tools these users will employ. The business should also consider engaging an IT consulting partner with knowledge of the augmented analytics market, and a solution and support services to provide the guidance and Products And Services your business will need to succeed.

Original Post : What Can a Citizen Data Scientist Do to Improve Results?

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Embedded BI with APIs: A Simple Path to OEM and ISV Success! https://www.elegantjbi.com/blog/embedded-bi-apis-simple-path-oem-isv-success.htm https://www.elegantjbi.com/blog/embedded-bi-apis-simple-path-oem-isv-success.htm#comments Wed, 01 Jun 2022 13:29:12 +0000 https://www.elegantjbi.com/blog/?p=8578 Continued]]> embedded-bi-with-apis-a-simple-path-to-oem-and-isv-successThe technology research and consulting firm, Gartner predicted that ‘By 2023, 60% of organizations will compose components from three or more analytics solutions to build business applications infused with analytics that connect insights to actions.’

If your business is software, and you want to expand your client base and your offerings, there is no reason you need to spend the time to hire developers who are skilled in analytics or to build your own solution. This is an expensive and time-consuming process and one that will require you to constantly update skills and the solution to keep pace with the market and with technology.

‘Integrating augmented analytics within your existing software solutions is simple. An integrated solution provides single sign-on access to data sources and data warehouses.’

Embed BI and Analytics as an OEM or ISV and Expand Your Market

In this article, we discuss the value of embedding BI and augmented analytics within existing software solutions to improve your revenue stream, add value, provide more features and functionality and better serve your customers without undertaking a complex and comprehensive development project.

Rapid Deployment

Integrating augmented analytics within your existing software solutions is simple. The integrated solution provides access to data sources and data warehouses using a robust data architecture with single-tenant or multi-tenant modes and flexible deployment via public or private cloud, or via on-premises hardware, so the business can deploy anywhere with no environmental dependencies.

Simple Access and Single Sign-On

Your clients have access to embedded BI objects from within the application with scalable integration APIs and objects including dashboards, crosstab, tabular, KPIs, graphs, reports etc. The single sign-on environment allows clients to log into your solution and gain access to the augmented analytics environment from within your software and includes comprehensive security protocols and user authentication.

Simple Administration and Management

The integrated augmented analytics approach includes simple tenant management to deploy with a shared data model for single-tenant mode or an isolated data model for multi-tenant mode and software as a service (SaaS) applications. You can create common data models and BI object templates to publish across tenants with a single click. SDKs are designed to support your business framework and technologies including .NET, ASP.NET, PHP, MVC, .NET Core, Vue, Angular, React, Java etc. so your team can embed BI objects into web or mobile applications, and work directly with data using web services in web or mobile apps.

‘OEMs and ISVs can provide integrated analytics and add value, provide more features and functionality and better serve customers without undertaking a complex and comprehensive analytics development project.’

Leverage the Smarten approach to Embedded BI And Integration APIs to add powerful functionality and provide access to existing ERP, SCM, HRMS, CRM or any other products and to provide analytics capabilities within existing products without major Investment. Reduce time to market and stay ahead of the competition!

Original Post : Embed BI and Analytics as an OEM or ISV and Expand Your Market!

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3 Things Citizen Data Scientists Need in Predictive Analytics! https://www.elegantjbi.com/blog/3-citizen-data-scientists-predictive-analytics.htm https://www.elegantjbi.com/blog/3-citizen-data-scientists-predictive-analytics.htm#comments Tue, 31 May 2022 15:42:25 +0000 https://www.elegantjbi.com/blog/?p=8586 Continued]]> 3-things-citizen-data-scientists-need-in-predictive-analytics

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ When combined with Citizen Data Scientist initiatives, the adoption and use of predictive modeling and forecasting techniques can be a boon to any enterprise. Team members who have access to augmented analytics and assisted predictive modeling can plan better, predict more accurately and dependably meet goals and objectives.

‘Provide the right predictive analytics tools to transition business users into Citizen Data Scientists and achieve the kind of results this type of initiative can deliver.’

Predictive Analytics involves forecasting or predicting business results for planning purposes and it employs various analytical and modeling techniques, leveraging historical data, both internal and external and business results. It is meant to identify crucial relationships and opportunities and risks and help the organization to accurately predict:

  • Growth
  • Competitive Changes
  • Market Changes
  • Trends and Patterns

Give Your Citizen Data Scientists the Right Predictive Analytics

In this article, we discuss three factors to consider when selecting a predictive analytics solution to help business users make the transition to Citizen Data Scientists and become more data literate and productive.

Complete Set of Analytical Techniques

The augmented analytics solution your business chooses must have a complete set of predictive analytical techniques with built-in, sophisticated algorithms and tools that are easy to use and will guide the user to choose the right predictive analytical technique for the data they are analyzing.

Trends and Patterns
Classification
Outliers
Clustering

Sampling
Hypothesis Testing
Correlation
Frequent Pattern Mining

Forecasting
Descriptive Statistics
Regression

Access to Flexible, Intuitive Predictive Modeling

The assisted predictive analytics tools must be easy for business users with average technical skills. Providing these easy-to-use tools will ensure user adoption and allow Citizen Data Scientists to apply predictive analytics to real business use cases to develop accurate forecasts, plans and predictions that will keep the business on track and avoid missteps and problems. The business can leverage use cases across the enterprise to address all kinds of issues, including:

Customer Churn
Predictive Analytics Using External Data
Customer Targeting
Loan Approval
Service Cross-Selling and Upselling

Fraud Mitigation
Demand Planning
Maintenance Management
Online Target Marketing
Quality Control

Foundation to Operationalize Processes for Management and Monitoring

Assisted Predictive Modeling with Augmented Data Science and Machine Learning allows business users without data science or analytical skills to apply predictive analytics to any use case using forecasting, regression, clustering and other techniques with auto-recommendations and guidance to suggest appropriate analytical techniques. The solution your organization selects must be easy to use and allow business users to walk through the process, step-by-step to achieve results.

  • Select an Algorithm Technique
  • Select the Dataset or Cube
  • Select the Target and Predictor Variables
  • Apply Data Filters
  • Analyze the Model with Visualization and Interpretation

When your business is considering an augmented analytics solution, it must include these factors, in order to ensure that it can provide the right predictive analytics tools to transition business users into Citizen Data Scientists and achieve the kind of results this type of initiative can deliver.

‘Selecting the right predictive analytics solution can help business users make the transition to Citizen Data Scientists and become more data literate and productive.’

Transforming business users into Citizen Data Scientists, provides advantages to the organization, to the business users and to data scientists. Citizen Data Scientist Training provides a solid foundation and builds business user confidence by providing an introduction and fundamental information on Predictive Analytics and other tools these users will employ. The business should also consider engaging an IT consulting partner with knowledge of the augmented analytics market, and a solution and support services to provide the guidance and Products And Services your business will need to succeed.

Original Post : Give Your Citizen Data Scientists the Right Predictive Analytics!

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Three Benefits of Integrating Analytics with Tally ERP! https://www.elegantjbi.com/blog/benefits-integrating-analytics-tally-erp.htm https://www.elegantjbi.com/blog/benefits-integrating-analytics-tally-erp.htm#comments Thu, 26 May 2022 13:48:40 +0000 https://www.elegantjbi.com/blog/?p=8560 Continued]]> three-benefits-of-integrating-analytics-with-tally-erp

There are many finance-related roles within a business. Whether you are an accountant or a finance manager or controller, or you manage inventory, purchasing, sales or other critical areas of the business, it is likely that you are responsible for a budget and for mitigating expenses and improving revenue. Tally® ERP users understand the software solution and use it daily to enter data and to produce standard reports.

‘With augmented analytics, and the ability to spot and understand trends, results and issues, your team members can take their knowledge of the domain, industry and role and add to it with clear data.’

But what if you, as a business professional could improve results, improve visibility for your own role and add more value simply by adopting and adding integrated augmented analytics to your Tally® ERP environment?

A recent survey revealed that more than 60% of accounting and finance professionals and firms predict that analytics will play a key role in their responsibilities. Adding this capability to your day-to-day process can help your business, your team and your career prospects!

In this article, we discuss three benefits of Tally® Mobile Analytics and how these benefits can support accounting and finance professionals in their daily endeavors.

How Can Tally Mobile Analytics Help Accounting and Finance Pros?

Three Ways Accounting and Finance Professionals Can Benefit from Integrating Augmented Analytics with Tally® ERP

Value-Added, Integrated Reporting

Tally® ERP includes standard reporting targeted to each of its modules and related disciplines. Leveraging business intelligence and BI tools and augmented analytics capabilities, the expanded reporting available within the integrated augmented analytics environment provides pre-built reports and flexibility to dig deeper into results and understand trends, patterns and details. Reports include Payables and Receivables, Cost Center, Inventory, Sales and Purchasing, Bank and Cash Reports, Tax Reporting, Ledgers, Account Statements and Overview Reports.

Metrics and Fact-Based Decision-Making

Every team member in a business is expected to perform at a higher level today. Organizations want specificity, clarity and decisions and suggestions made from a basis of fact, not opinion or guessing. Accountants, finance and business analysts, inventory managers, purchasing managers and other finance-related roles are not exempt from this expectation. Anywhere the business takes in or spends money is going to affect the bottom line. With integrated analytics, Tally® ERP users can dig in and look for problems, find the root cause, find and advance opportunities for considerations, etc. Sales and purchasing reports allow team members to explore data on a monthly, quarterly and yearly basis and review key performance indicators (KPIs) by customer or sales register. Payables and receivables analysis includes analysis by creditor and debtor, by product, service or even components, so team members can spot trends and analyze overdue collections, etc. Inventory analytics provides details on shortages, overages, key data for stock management, supplier issues, shipping and distribution. KPIs and analytics can cross modules and identify factors affecting the business in other business units.

Increased Productivity and Contribution

Accounting and finance positions are often seen as ‘bean counters’ or, at best, responsible for statutory reporting but not to be consulted on matters of strategy or operational efficiency, etc. With augmented analytics, and the ability to spot and understand trends, results and issues, your team members can take their knowledge of the domain, industry and role and add to it with clear data that will point them to effective suggestions and recommendations and help them to see and interpret the business, adding value to senior management and to their respective teams. This proactive approach will improve business results and allow team members to operate with more agility and effectiveness.

‘What if you, as a business professional could improve results, improve visibility for your own role and add more value simply by adopting and adding integrated augmented analytics to your Tally® ERP environment?’

Find out how the addition of SmartenApps For Tally® will support your accounting-related analytical initiative and bring your team and your business to the next level. Users can Download And Register for SmartenApps for Tally® and use Tally® data to analyze, explore and clarify.

3 Benefits of Tally Mobile Analytics for Accounting and Finance Professionals

Original Post : How Can Tally Mobile Analytics Help Accounting and Finance Pros?

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Why Does My Business Need NLP Search Analytics? https://www.elegantjbi.com/blog/business-nlp-search-analytics.htm https://www.elegantjbi.com/blog/business-nlp-search-analytics.htm#comments Mon, 23 May 2022 13:25:46 +0000 https://www.elegantjbi.com/blog/?p=8550 Continued]]> why-does-my-business-need-nlp-search-analyticsThe What and Why of NLP Search Analytics and How it Can Help Your Business!

If your business is considering an advanced analytics solution, your IT and management team has probably already done some research and concluded that the concept of augmented analytics designed to support business users is the right way to go. To democratize data, improve data literacy and transition business users to the Citizen Data Scientist role, the business must select the right solution and plan for success.

‘NLP search analytics technology improves productivity, user adoption, business results and competitive positioning in the market.’

Gartner, the renowned technology research firm, has predicted that, ‘… 90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.’ Your competitors are implementing this strategy and it is time you do so as well. But if you are to choose the right solution, you must first understand the concepts of new systems and solutions and how data science and analytics have changed to incorporate search analytics, tools and features that will support your business users.

Consider the ubiquitous nature of Google-type searches and how the concept of natural language processing (NLP) and tools that allow users to ask questions and get answers easily can be applied to your business analytics.

In this article we define Search Analytics and the WHAT and WHY as well as the BENEFITS of implementing this type of solution.

How Can NLP Search Analytics Help My Business?

What

One of the greatest obstacles to self-serve analytics is the need for a specialized skill set to use the solution. The concept of search is designed to provide sophisticated features in a user-friendly environment so business users can leverage these tools to perform analysis and produce reports. Search analytics provides 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. 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 translates 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.

Why

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. Users can leverage these simple Search Analytics tools to perform analytics on any internal and external data sources and thereby create a foundation for fact-based, data-driven analysis that is easily accessible.

How it Can Help Your Business

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 further supports your business by helping you 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. When a business user can leverage this type of clickless analytics search capability, the user can achieve rapid, clear results and use those results to solve problems, share information and optimize opportunities for the business. With natural language-processing-based search capability, users do not need to scroll through menus and navigation. The business can address complex questions using this simple search capability with a contextual flexible search mechanism that provides one of the most flexible, in-depth search capability and results offered in the market today. Clickless Analysis and contextual search capabilities go beyond column level filters and queries to provide more intelligence support. The solution translates the contextual query and returns results in an appropriate format, e.g., visualization, tables, numbers, or descriptors. This NLP search analytics technology improves productivity, user adoption, business results and competitive positioning in the market.

‘You must understand how data science and analytics have changed to incorporate search analytics, tools and features that will support your business users.’

Explore the advantages of Augmented Analytics Products And Services, and Search Analytics Tools. Let us help you implement a solution that will be suitable for your team members and your business results.

Original Post : How Can NLP Search Analytics Help My Business? 

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Get Context-Driven Natural Language Processing for the Best Search Results! https://www.elegantjbi.com/blog/context-driven-natural-language-processing-search-results.htm https://www.elegantjbi.com/blog/context-driven-natural-language-processing-search-results.htm#comments Wed, 18 May 2022 10:26:56 +0000 https://www.elegantjbi.com/blog/?p=8536 Continued]]> get-context-driven-natural-language-processing-for-the-best-search-results

If your business is focused on data-driven, fact-based decisions, your business users may be leveraging an analytics solution to gather, find and analyze data. Business goals include improving results and productivity, and getting the best results out of your data, as well as gaining meaningful insight into data.

But, you certainly want to accomplish all those goals without frustrating business users or forcing them to adopt tools that do not add value to their day-to-day workflow and tasks.

When a business sets goals and establishes metrics to determine the value of an analytical solution and a business user analytics initiative within the enterprise, the management team often fails to focus on the more subtle, but powerful, concept of efficacy. Just how effective is the search process and, equally important, the results produced by that search.

If a user can quickly and easily ask a question without having to find and choose columns or fields, they can avoid the time and complexity of putting together an effective search and the frustration of receiving results that do not fit their requirements.

When a business envisions a data-driven environment and establishes the foundation with an analytical solution, it should expect user adoption and a more data literate team environment. But, without effective search tools, that vision will fall short.

Augmented Analytics that include context-driven, Natural Language Processing (NLP), will provide the kind of support your business needs to achieve the results you envision.

Get Context-Driven Natural Language Processing for the Best Search Results

Context-driven searches using Natural Language Processing (NLP), allow users to go beyond restrictive searching based on column filters to provide context such as season, time series or range, polarity, and they address abbreviations, and analyze phonetics to handle misspellings, etc.

This approach allows users to ask a question using a more human, conversational approach, without having to consider which columns or fields they need or how to ask the question to get an answer that provides meaningful insight into their question without frustrating the user by returning no results or results that have nothing to do with the question.

‘If a user can quickly and easily ask a question without having to find and choose columns or fields, they can avoid the time and complexity of putting together an effective search.’

In order to understand the very real value of this type of tool, it is helpful to consider a few examples of business application.

Context: Time Series

Benefits

Enter a question and receive results based on absolute time, or on a range or relative time period.

Sample Date Range Question

Which sales representative sold the most pancake mix during April 2015 to May 2019?

Sample Relative Time Period Question

Who sold the most cake in Phoenix, Arizona in the last quarter of 2019?

Sample Absolute Time Question

What is Bill Jones’ best-selling product for this year?

Context: Synonyms, Phonetics & Abbreviations

Benefits

Enter question and the system will recognize and process information correcting for spelling errors, abbreviations and related words.

Sample Phonetics-Based Question

Who sold the most fruit juice in Phonix, Arizona in Christmas of 2018?

Sample Abbreviation Question

Who sold the most fruit juice in Phoenix Az in Christmas of 2018?

Context: Aggregation

Benefits

Enter a question to understand results for averages, minimum, maximum, first, last, sum, counts, etc.

Sample ‘Average’ Question

What is the average list price for ginger tea in the Western Region?

Sample ‘Count’ Question

Tell me the number of sales representatives in Arizona.

Think about context-driven searching as the foundation for more collaboration and improved insight. If you are sitting in a staff meeting or at a conference, and listening to a presentation, the presenter will often provide time at the end of the session for questions. After considering the topics and issues presented, you may need answers to further clarify the information you are processing and make the best use of the information presented. Context-searching provides the same kind of support.

If a sales manager is considering how to optimize her sales team and leverage customer product and purchasing preferences, the business would want to encourage creativity and out-of-the box thinking. With context-driven searching, the sales manager can ask all kinds of questions to test theories and hypotheses. She can explore the team results and discover interesting and useful insight into sales, regions, team vs. individual results and more – all without having to understand data extraction techniques or having to create complex searches using column filters and other data structural components, or navigating menus or scripts to elicit answers from the data. What you want (and what you will get) from NLP searches is a ‘what you see is what you get’ approach to searching. Think of a question and type that question and you’ll get results.

When a business is choosing analytical tools, it is wise to choose tools that support the way humans think and communicate, and provide results in a clear fashion to support fact-based decisions. Keep it as simple as possible. Ask a question and get an answer. That is the most effective way to search for information.

Original Post : Get Context-Driven Natural Language Processing for the Best Search Results!

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Mobile Augmented Analytics & Tally ERP: A Winning Combination! https://www.elegantjbi.com/blog/mobile-augmented-analytics-tally-erp-winning-combination.htm https://www.elegantjbi.com/blog/mobile-augmented-analytics-tally-erp-winning-combination.htm#comments Fri, 13 May 2022 08:25:05 +0000 https://www.elegantjbi.com/blog/?p=8523 Continued]]> mobile-augmented-analytics-and-tally-erp-a-winning-combinationWhen Considering Tally ERP Mobile Access, Add Augmented Analytics to Complete the Picture!

No matter the task or job, every team member needs the right tools to be successful. Accountants, finance professionals, purchasing managers, inventory professionals and other team members responsible for expenses and revenue need the right tools to do their jobs and, in this day of remote work and dispersed teams, that need is greater than ever. The answer to that need is, of course, founded on technology.

‘Providing mobile access to Tally ERP allows users to leverage a familiar software solution to perform tasks and combines that access with new, value-added tools for augmented analytics.’

Tech research and analysis firm, Gartner predicts that, ‘Through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives,’ and that prediction applies to all types of industries and vertical business sectors, including finance and accounting.

For Tally® ERP users, the need to access enterprise tools via mobile device is crucial. But, perhaps even more crucial is the need to improve data quality solutions by adding integrated augmented analytics that are accessible to users from anywhere. When a team member is performing a task, checking or monitoring progress or trying to solve a problem, it is useful to have analytical tools that can provide insight into the reasons for success or the reasons for poor results.

Adding integrated mobile analytics to the Tally ERP solution provides numerous benefits. When your business is ready to adopt these all-important tools, be sure to look for a solution that will provide the following features and capabilities:

Add Mobile Augmented Analytics to Tally ERP and Win the Day

  • Users can access all companies in a Tally ‘instance’ to see data for a specific company or for multiple companies.
  • Includes out-of-the-box numerous dashboards, KPIs and report formats for all users.
  • Users can track trends and perform analytics.
  • Mobile users can view recent transactions.
  • All mobile Tally users can share reports in PDF, XLS and via WhatsApp, Email and other options.
  • Accessible data includes products, inventory, ledgers, vouchers, etc.
  • Provides the ability to perform a full company extract
  • Offers near real-time access to Tally data and rapid application loading for smooth, seamless use.
  • Provides seamless search options and text searches throughout the mobile app.
  • Offers cost-effective, simple registration and user access.
  • Integrates with enterprise applications including ERP, CRM, Excel and Google analytics data as well as other data sources.
  • Is accessible as a ready-to-use software as a service (SaaS) app with no on-premises installation, development or training required.
  • Provides proven, dependable support for users.
  • Offers augmented analytics components including self-serve data prep, smart data visualization and assisted predictive modeling.

As with any software or technology acquisition, the key to success is meeting business and user expectations and providing tools that are easy-to-use and cost-effective. Providing mobile access to Tally ERP allows users to leverage a familiar software solution to perform tasks and combines that access with new, value-added tools for augmented analytics in an environment that is easy for every user and accessible on any mobile device.

‘Adding integrated mobile analytics to the Tally ERP solution provides numerous benefits. When your business is ready to adopt these all-important tools, be sure to look for a solution that will provide adequate features and capabilities.’

For more access options and information on desktop and web versions of SmartenApps and the available reports, see our article, entitled, ‘The Value Of Tally ERP Web-Based Accounting Analytics.’ Find out how the addition of SmartenApps For Tally will support analytical initiatives and provide benefits to your users and your enterprise. Users can Download And Register for SmartenApps for Tally and use Tally data to analyze, explore and clarify and to provide insight to clients, colleagues, management and team members.

Original Post : Add Mobile Augmented Analytics to Tally ERP and Win the Day!

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Prepare for Success with the Right BI Tools! https://www.elegantjbi.com/blog/prepare-success-bi-tools.htm https://www.elegantjbi.com/blog/prepare-success-bi-tools.htm#comments Tue, 10 May 2022 08:29:31 +0000 https://www.elegantjbi.com/blog/?p=8504 Continued]]> prepare-for-success-with-the-right-bi-tools4 Things to Know to Prepare for BI Tools and Data Democratization!

The days of data silos and exclusive data access are over. Data Scientists and business analysts are still an important component of the business and IT teams are still crucial to the success and stability of the organization BUT if you are thinking that these roles are still responsible for day-to-day analytics and delivering every bit of data analysis to the enterprise, your business strategy needs an upgrade!

‘Democratizing data means providing the data that a business user needs as and when they need it.’

Tech research giant, Gartner has predicted, ‘Through 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance.’ But, what does that mean, exactly? What is a ‘modern approach to data and analytics governance’?

In this article, we discuss four (4) factors that will take your business from the dark ages of business intelligence concepts to the era of modern data and analytics.

4 Steps to BI Tools and Data Democratization

Preparing the Organization for Data Democratization

Data Democratization is a concept that must be cascaded throughout the organization, in order to provide access to data for all business users. Data can then be used to perform daily tasks, test assumptions, monitor and manage, solve problems, etc. It is the foundation of self-serve analytics in that it allows the average business user to access the data and use that data to make fact-based decisions, thereby creating a data-driven culture. In order to successfully achieve data democratization, the organization must prepare the culture, the management teams and the technology infrastructure to support self-serve business intelligence tools and augmented analytics and enable users to leverage these tools within the walls of the organization and via mobile devices when the user is on the road or working remotely. Establishing data democratization is not just a question of making the announcement! Senior managers, middle managers and users must be aware of the importance of this new initiative and reward systems and expectations must be established to reinforce the use of data in making recommendations and presenting information for management decisions. Technology infrastructure investment may be required in order to bring the enterprise up to date and prepare it for the business intelligence tools users will need to achieve the results the business expects.

Selecting the Right Business Intelligence and Analytics Solution

Traditional and Modern Business Intelligence and Augmented Analytics tools should support the business user with features and a foundation that is designed for the average technical skills of your team members, and includes Smart Data Visualization, Self-Serve Data Preparation, Assisted Predictive Modeling, Dynamic Key Performance Indicators (KPIs), simple, flexible reporting and other features designed to support the organization and make it simple to upgrade and stay abreast of new requirements.

Ensuring Appropriate Security and Data Governance

The senior team and IT professionals will want to ensure appropriate security and access to data. A plan to identify data sources and secure information that is appropriate to the roles of the users is a mandatory consideration. If suppliers or partners are to be given access to data to contribute to approval processes, complete orders, etc., the systems and solutions the business chooses must allow for multi-layered security to mitigate risk and protect the organization from legal and government regulatory gaps. Democratizing data means providing the data that a business user needs as and when they need it. It does not mean opening the door to every level of organizational data. So, be sure your business chooses a solution that allows for appropriate security, privacy requirements and industry and government regulatory controls.

Building for the Future

The business may choose to implement a data democratization initiative and BI tools in one business unit or division to begin the process, to learn from the experience and to establish a foundation for success. Be sure the solution you choose allows for growth in user volume, in the number of locations etc., and be sure that the vendor has a proven track record of upgrading the features and technology to keep pace with the market and with trends and requirements.

‘…80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance. Don’t let that be you!’

Find out how Self-Serve Business Intelligence Tools and Augmented Analytics tools can support data democratization and improve your business results. Let us help you achieve your vision and improve productivity and insight across the organization.

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Smarten Support Portal Updates – April – 2022! https://www.elegantjbi.com/blog/smarten-support-portal-updates-april-2022.htm https://www.elegantjbi.com/blog/smarten-support-portal-updates-april-2022.htm#comments Mon, 09 May 2022 15:52:15 +0000 https://www.elegantjbi.com/blog/?p=8500 Continued]]> smarten-support-portal-updates-april-2022We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. LDAP/AD : AD Integration in Smarten
  2. Embedded / API Integration : API Call to rebuild cubes / datasets

Predictive Use cases

  1. Independent Sample T-test Using Smarten Augmented Analytics
  2. Customer Churn model using Smarten Assisted Predictive Modelling

Forum Topics

  1. LDAP/AD : How to configure AD in Smarten?
  2. Dashboard: How to improve the dashboard loading time in Smarten?

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

Original Post : Smarten Support Portal Updates – April – 2022!

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What is Key Influencer Analytics? Do I Need it? https://www.elegantjbi.com/blog/what-is-key-influencer-analytics-do-i-need-it.htm https://www.elegantjbi.com/blog/what-is-key-influencer-analytics-do-i-need-it.htm#comments Fri, 06 May 2022 08:30:15 +0000 https://www.elegantjbi.com/blog/?p=8483 Continued]]> what-is-key-influencer-analytics-do-i-need-itKey Influencer Analytics: What Is It and Why is It Important?

No matter the size of your business or in what industry your market is involved, the concept of analytics is more important today than ever before. Businesses competing locally or on a global scale are all engaged in market competition and, in order to grow and succeed, every business must understand its competitors, its own products and services, and most importantly, its customers and what products they are buying. Businesses must build and monitor and manage processes and activities, all with the goal of being the most productive and responsive in the market.

‘Key Influencer Analytics can cut through the noise and confusion to find the real relationships and impact of decisions for your targets.’

Augmented Analytics and more specifically, Key Influencer Analytics can help your business achieve its goals. In this article, we define Key Influencer Analytics and provide a few reasons why your business should consider this important capability.

You may be interested to learn that Gartner recently predicted, ‘By 2025, data stories will be the most widespread way of consuming analytics, and 75% of stories will be automatically generated using augmented analytics techniques.’ Using augmented analytics, key influencer analytics and user-friendly tools designed to simplify analytics with key features that allow users to gain insight and to truly understand the impact of business decisions, and key activities and tasks, is a crucial step toward success. And, it can help you tell the story, to provide metrics related to impact and relationships so that decisions are clearer and based on facts.

Why is Key Influencer Analytics Critical to My Business?

So, what is Key Influencer Analytics and why is it so important to your business?

Key Influencer Analytics: Defined

data you will need to analyze to get those all-important nuggets of information that will drive your success. One of the most frustrating tasks a business user has in analytics is finding and gathering the right data for analysis and ensuring that all factors, variables and data that may affect the outcome of the analysis is included. That is why these activities are typically performed by Data Scientists, analysts or IT in many organizations. Depending on the size of the dataset a user selects, there may be hundreds or thousands of variables, and business users often find it difficult to identify the rights ones. Yet without the ability to identify the right variables, the business is likely to measure and attend to the wrong things. Key Influencer Analytics provides the power and clarity of targeted analytics for business users. Team members can simply point to the dataset they want to analyze and Key Influencer Analytics identifies the target and the influencers or predictors that will affect the target, along with its impact and it provides crucial metrics such as mean, outliers, and others and identifies relationship and distribution among variables. The system will auto-suggest relationships and present distribution and impact using the most appropriate visualization.

Why is Key Influencer Analytics Important For Your Business?

By identifying the key influencing factors and relationships among your products, features, services, customers, marketing campaigns, etc., the business can avoid missteps and solve problems and most importantly capitalize on opportunities to improve and gain visibility. Stop doing what isn’t helping and start doing what will get you to your goal! A software solution that can see beyond guesswork to identify the relationships and impact based on machine learning – that is more likely to support your needs than a ‘dart board’ approach. The solution can interpret insight using simple language, so users don’t have to be data scientists to understand the results. It can reveal the key influencers with the most impact on the target. Users enjoy interactive features that allow them to see and explore other combinations and impacts and can select target and predictors, and use them for models, reports or KPIs. Key Influencer Analytics empowers every business user and allows them quickly select and target data to achieve results without the assistance of a data scientist, IT professional or analyst.

  • Identify what matters most in your data!
  • Understand the impact and interdependence of variables
  • Leverage auto-suggestions and machine learning to get data insights
  • Identify influencers affecting the target variable with auto-suggestions and quick maneuvers using different combinations
  • Avoid missteps in the market
  • Become more productive
  • Use metrics to make decisions
‘Augmented Analytics and more specifically, Key Influencer Analytics can help your business achieve its goals.’

The bottom line is that Key Influencer Analytics can cut through the noise and confusion to find the real relationships and impact of decisions for your targets and, in so doing, can help you to refine your strategies and focus on the activities, products, features and customers that will have the greatest positive impact on your business.

Find out more about Augmented Analytics  and how Key Influencer Analytics can help your business succeed and improve user adoption and data literacy.

Original Post : Why is Key Influencer Analytics Critical to My Business?

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Include Clickless Analytics in Your Data Democratization Project! https://www.elegantjbi.com/blog/2022/04/28/include-clickless-analytics-data-democratization-project/ https://www.elegantjbi.com/blog/2022/04/28/include-clickless-analytics-data-democratization-project/#comments Thu, 28 Apr 2022 09:30:07 +0000 https://www.elegantjbi.com/blog/?p=8472 Continued]]> include-clickless-analytics-in-your-data-democratization-projectHow Can Clickless Analytics Help My Business Succeed in Data Democratization?

Gartner predicts that ‘… augmented analytics will be ubiquitous, but only 10% of users will use it to its full potential.’ One of the primary reasons that augmented analytics is not adopted and leveraged to its full capacity is that the business chooses a solution that is not easy enough for team members to adopt – one that is restrictive, inaccessible or requires sophisticated skills.

‘If the user sees the value, and can easily leverage the new tools, without learning complex systems or techniques, your data democratization initiative is much more likely to succeed.’

In order to achieve data democratization and improve data literacy, the enterprise must understand its requirements, the current and desired business processes and its ability to provide and encourage augmented analytics solutions across the organization and to encourage the use of these solutions with cultural transition.

This article discusses the need for easy-to-use tools that will encourage business users to adopt augmented analytics and to embed fact-based, data-centric information into day-to-day decisions and recommendations.

Experience Obsolesce: The Glaring Reality of Rapid Technology Change

Natural Language Processing Search Analytics (NLP) – is a crucial component of search analytics and smart data discovery today. NLP search allows business users to create complex searches without endless clicks and complex navigation and commands. Using this type of search analytics, users can access and view clear, concise answers and analysis quickly and easily. Advanced analytics with Natural Language Processing (NLP) provides a familiar Google-type interface where a user can compose and enter a question using common human language. 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.

Clickless Analytics – uses natural language processing (NLP) and machine learning to delivery augmented analytics with auto-suggestions and recommendations that help the user to choose the right data visualization and the right predictive analytics algorithms to best illustrate and reveal results for the type and volume of data they have selected. Users can simply enter the query in natural language and let the system do the rest. No advanced training is required. The Clickless Analytics approach is designed to support 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).

If the organization wishes to achieve expected results from data democratization, it must provide an augmented analytics solution with Clickless Analytics – one that is easy to use and will allow business users to leverage their professional skills and knowledge to find and use data and to gain insight, solve problems and share and collaborate. Most business users do not want to be a data scientist, and they will feel pressed to adopt analytics. But if the user sees the value, and can easily leverage the new tools, without learning complex systems or techniques, your data democratization initiative is much more likely to succeed.

‘In order to achieve data democratization, the enterprise must provide easy-to-use tools that will encourage business users to adopt augmented analytics and to embed fact-based, data-centric information into day-to-day decisions and recommendations.’

Find out more about Augmented Analytics  and how Clickless Analytics can help your business succeed and improve user adoption and data literacy.

Original Post : Clickless Analytics and NLP Are Key to Data Democratization!

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Experience Obsolesce: The Glaring Reality of Rapid Technology Change! https://www.elegantjbi.com/blog/experience-obsolesce-glaring-reality-rapid-technology-change.htm https://www.elegantjbi.com/blog/experience-obsolesce-glaring-reality-rapid-technology-change.htm#comments Wed, 27 Apr 2022 10:21:08 +0000 https://www.elegantjbi.com/blog/?p=8456 Continued]]> experience-obsolesce-the-glaring-reality-of-rapid-technology-change-bannerYou hear it every day of your life. “Experience counts.”

With experience comes valuable knowledge and, presumably, a history of what works, what has been tried, and how to navigate life and business. But, there is a growing phenomenon in the IT community, one that challenges the concept of experience and a lifelong dedication to a career or area of study. As that phenomenon gains traction, team members and employees of IT businesses find themselves scratching their heads over the realities of hiring, advancement and the idea of a thriving future in an IT career.

So, what is changing and what is driving that change? It is simple, really. If you look at the culture and fabric of information technology, it doesn’t take long to recognize that it has been changing rapidly and that change is faster and more intense than ever.

Now, consider the relevance of the knowledge gained from a degree achieved in 2000 in an IT related discipline. How much has changed since then?

What about those dedicated IT professionals who grew up on C++, SQL or Visual Basic, COBOL, Oracle D2K and other older technologies and techniques? You may be an expert in these areas, but that knowledge probably won’t be relevant in today’s new application and software product development environment. While these skills may be in some demand because of older legacy systems that are still running inside the walls of certain organizations, that demand is diminishing and will soon be irrelevant. In an era of smart phones, apps, machine learning, natural language processing, DevOPs, AI and GPS, how can one compete?

Consider how quickly the development environment has changed. Just a few short years ago, programmers were developing systems from scratch. In today’s technology environment, no one builds from scratch. Instead, they leverage open source components and other libraries for faster, more dependable design and development. Even the way we develop software and manage software projects has changed with new phenomenon such as DevOPs.

Those who have not kept pace with these rapid changes are likely to be left behind with stagnant salaries and limited or no career growth.

This trend of new technology and rapidly changing skill set requirements can be daunting and disturbing to those who have spent years building a career in IT. Even if you advance into management or sales with soft skills and a path toward leadership, the relevance of your technical skills may set you back in your career path. BUT, to remain competitive, you must constantly upgrade your skills, take training, subscribe to blogs, read trade journals and periodicals, attend conferences and perhaps even go back to school!

Businesses that focus on, or rely heavily upon IT skills must support this training with funding and recognize that the time spent out of the office in training will translate into revenue and/or productivity and dependability of products and services offered by the enterprise.

Experience Obsolesce: The Glaring Reality of Rapid Technology Change

Gone are the days when an IT ‘geek’ or ‘nerd’ could happily sit in a corner and crank out code without the need to upgrade skills or interact with customers or internal users. Today, IT professionals are expected to demonstrate a wide array of skills including soft skills, leadership, and cutting-edge technical abilities and the capacity and willingness to explore and integrate new technologies including open source stacks.

When a business can hire a young professional straight out of school with the most relevant, current technical knowledge and skill, and the enthusiasm and hunger that comes with youth, and pay a salary that is significantly lower than a mid-tier or high-level technical professional salary, the best option will always be the most relevant skills and value at the lowest cost.

So, how does an experienced, mature IT professional compete in this new world of disposable, rapidly aging skills and knowledge? In short, how does one avoid obsolescence?

The fact is that there is a real shortage of cutting-edge skills and, hence, a myriad of positions that go unfilled or that are filled with the next best thing. For the IT pro who wants to remain relevant and advance in their career of choice, it is important to volunteer for projects that will expose you to new concepts and technologies and to take advantage of every training opportunity provided by your enterprise. If you are working for a business that does not support continuous improvement and skills enhancement, consider moving to a forward-looking enterprise that will support your ongoing growth and help you fulfill your potential.

The future of businesses that focus on new technologies and new combinations and partnerships of technologies to create new products and services is bright. If an IT professional is complacent, if they become lazy and rely on existing skills without a clear view of the future of their chosen career, those IT pros are likely to become redundant, and risk topping out in a job that is not challenging and will not provide the financial or career nurturing they demand.

While this experience vs. salary and career growth conundrum is not yet a tsunami, the wave IS growing, and it is already at plan in mid-tier IT positions and spreading into the most experienced levels of IT. If you are a business owner, it is difficult to justify a high salary or a promotion for someone who has twenty or thirty years of experience in older, obsolete skills and is not proficient in data science, big data or other cutting-edge technology trends.

Today’s IT landscape is competitive and changes rapidly. It is not a place to hide, or bide your time. It is a place of constant growth and change that requires professionals who are willing to adapt and embrace the future.

Original Post : Experience Obsolesce: The Glaring Reality of Rapid Technology Change!

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Enjoy the Benefits of Citizen Data Scientist Initiatives! https://www.elegantjbi.com/blog/enjoy-the-benefits-of-citizen-data-scientist-initiatives.htm https://www.elegantjbi.com/blog/enjoy-the-benefits-of-citizen-data-scientist-initiatives.htm#comments Thu, 21 Apr 2022 08:22:19 +0000 https://www.elegantjbi.com/blog/?p=8435 Continued]]> enjoy-the-benefits-of-citizen-data-scientist-initiativesBusiness Users & Data Scientists Benefit from Citizen Data Scientist Initiatives!

A business that does not optimize its resources is doomed to fail. In this rapidly changing business environment and market, every organization must make the best of precious human resources. No one has enough funding to hire additional resources to get the job done and, when there are extra funds, those funds are quickly earmarked for new products, marketing and other crucial activities.

‘A Citizen Data Scientist training program; will provide a solid foundation from which to launch this initiative and help to build business user confidence.’

Just as markets benefit from disruption, the enterprise too can benefit from disruption. Implementing initiatives to democratize data and improve Data Literacy is a good way to disrupt the culture and transform business users into Citizen Data Scientists. When business analytics is brought to the team member level it can provide crucial support and an environment where team members can leverage their core skills and knowledge and combine that knowledge with Data Analytics to innovate, solve problems and support organizational goals.

Gartner predicts that ‘By 2023, overall analytics adoption will increase from 35% to 50%, driven by vertical and domain-specific augmented analytics solutions.’ In order to encourage this adoption, businesses must embrace the concept of Citizen Data Scientists and empower their business users with the tools they need to make fact-based decisions and to improve data literacy.

By implementing this type of strategy, Data Scientists can focus on strategic initiatives while business users are free to make confident day-to-day decisions, share data and perform Advanced Analytics, all without the assistance of IT professionals or analysts. By providing sophisticated, easy-to-use tools to business users, the organization can free data scientists to perform strategic tasks and use their skills more effectively. When and as daily business user analytics requires refinement to improve accuracy for strategic decisions, the Citizen Data Scientist and Data Scientist can collaborate to ensure optimal results.

A Citizen Data Scientist can add significant value to the organization and, as business users adopt Business Analytics tools, and data is shared, power users will emerge and the enterprise will gain insight into the type of data and reporting that is crucial to the organization and can help to plan, forecast and identify opportunities.

Citizen Data Scientists Improve Productivity in the Enterprise!

Benefits to Business Users

  • Support for Day-to-Day Business Decisions
  • Insight into Data, Trends, Patterns, Problems and Opportunities
  • Dependable Hypotheses and Prototyping
  • Improved Business Agility and Effectiveness
  • Timely, Accurate Decisions
  • Organizational Responsiveness
  • Alignment with Business Objectives and Metrics
  • Reusable, Sharable Analytical Models to Encourage Collaboration

Acquiring New Skills

  • Reduce Daily Requests from Business Users
  • Ability to Develop Useful Analytical Models
  • Ability to Focus on Strategic Projects
  • Ability to Focus on Projects Requiring 100% Accuracy and Data Science Tools and Knowledge
‘Implementing initiatives to democratize data and improve Data Literacy is a good way to disrupt the culture and transform business users into Citizen Data Scientists.’

Transforming business users into Citizen Data Scientists, provides advantages to the organization, to the business users and to data scientists. For the enterprise considering this type of initiative, it is important to help business users understand the new role, as well as the augmented analytics solutions they will use and the analytical techniques they will employ. Citizen Data Scientist Training provides a solid foundation and builds business user confidence. The business should also consider engaging an IT consulting partner with knowledge of the augmented analytics market, and a solution and support services to provide the guidance and Products And Services your business will need to succeed.

Original Post : Citizen Data Scientists Improve Productivity in the Enterprise!

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Smarten Announces Sentiment Analysis Capability Designed for Business Users! https://www.elegantjbi.com/blog/smarten-announces-sentiment-analysis-capability-designed-business-users.htm https://www.elegantjbi.com/blog/smarten-announces-sentiment-analysis-capability-designed-business-users.htm#comments Wed, 20 Apr 2022 06:27:32 +0000 https://www.elegantjbi.com/blog/?p=8425 Continued]]> Smarten is pleased to announce the addition of Sentiment Analysis features and functionality to its innovative, augmented analytics solution. Sentiment Analysis enables businesses with easy-to-use tools that provide insight into what customers, stakeholders and others are thinking, thereby allowing business teams to improve products and services.

Sentiment Analysis can take your business to the next level by helping you to understand what your customers and potential customers think, understand what people think about world issues, how voters make choices, and what products and features consumers like. This sophisticated analytical technique goes beyond quantitative questionnaires and surveys to capture the real opinions, feelings and sentiments of consumers, employees, and other stakeholders.

Smarten Announces Sentiment Analysis Capability Designed for Business Users

Smarten CEO, Kartik Patel says, “Smarten Sentiment Analysis leverages Natural Language Processing (NLP), text analytics, and computational linguistics to identify and analyze sentiment, opinion and responses and can be used for text analysis to gain insight into how and why people make choices and what they are really thinking and categorize feedback as positive, negative and neutral sentiments.”

The process is simple, and is designed for business users, and does not need any scripting or coding, and provides significant value to the organization. Businesses can analyze text to understand positive, negative and neutral sentiments, and can analyze the sentiments further with slice and dice with context variables such as persons location or demography. They can analyze how product opinions change over time and understand sentiments to improve the response to product reviews, movie or book reviews, advertising campaigns, Amazon product reviews, social media tweets and comments, news headlines media content, and more.

“Sentiment Analysis can help you solve problems,” says Patel, ‘And it can identify opportunities and improve your brand image and competitive stance in the market.’

Smarten Sentiment Analysis provides a powerful Artificial Intelligence (AI) technique to analyze customer feedback, and understand attitudes about products, events, trends, etc. Algorithms can be applied to text to understand what a person is thinking and why, and to look for commonality of sentiments in geographic location, demographics, etc. Smarten Sentiment Analysis is simple enough for business users and allows every enterprise to democratize data, improve data literacy and cascade analytics to every team and every user in the organization.

Contact the Smarten team for more information on Smarten Augmented Analytics solution and the powerful opportunities provided by Sentiment 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. Smarten is listed in multiple Gartner Reports including Gartner Data Preparation Report, the Market Guide for Enterprise-Reporting-Based Platforms and the Gartner Magic Quadrant for Business Intelligence and Analytics Platforms Report for the ElegantJ BI Business Intelligence Suite.

Original Post : Smarten Announces Sentiment Analysis Capability Designed for Business Users!

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Techniques to Ensure Successful Augmented Analytics Implementation! https://www.elegantjbi.com/blog/techniques-ensure-successful-augmented-analytics-implementation.htm https://www.elegantjbi.com/blog/techniques-ensure-successful-augmented-analytics-implementation.htm#comments Tue, 19 Apr 2022 11:12:39 +0000 https://www.elegantjbi.com/blog/?p=8409 Continued]]> techniques-to-ensure-successful-augmented-analytics-implementation-bannerIf your business is ready to implement a BI tool and augmented analytics solution, there are some things you will need to do first. If you plan correctly, you will enjoy a successful implementation. If you do not perform an assessment, understand your requirements and choose the right option, you are likely to fail in your initiative and your ROI and TCO will not meet expectations.

Here are a few things your business will need to do in order to ensure success:

Perform Assessment

Implementing augmented analytics and BI tools can provide numerous benefits, but if you do not understand your current technology environment and where all of your data resides; if you do not plan for integrating these data repositories and assuring that your infrastructure and technology can adequately support your augmented analytics choice, you will find yourself lost in a sea of complex decisions and dead ends. Engage your IT team, your CTO and others to take a look at what you have now, what you will need and how you will accomplish this integration. Don’t ignore the possible use of IT consultants. Remember, that these teams have years of experience in requirements planning and assessment and can build a roadmap to get you where you are going in a timely, affordable fashion, without a lot of the missteps that might occur if your team is not skilled at this type of project.

Engage with Stakeholders and Users

Make sure your senior executives, managers and team members are on board. Talk to them about what they are doing now, how augmented analytics can help them (and the business) achieve goals and find out about their concerns. In this day and age, BI tools and analytics solutions must be self-serve if you are to democratize data, improve data literacy and make the jump to digital transformation. Digital transformation allows you to leverage technology, software and streamlined approval loops and business processes so that you can make the most of your resources, and ensure that your team has the information to make the right decisions. Remember that your team members know their role, their domain and their profession well. But, they are not data scientists, nor do they want to spend time learning new, complex systems. Find out what they want and then go out and look for the solution that will best ensure user adoption.

Choose a Solution with the Right Features

Any augmented analytics or BI tools should be user-friendly but sophisticated. Your business needs to engage with a solution that provides the features you need AND makes it easy for your users to adopt and leverage the solution to analyze data. Embedded BI and integration APIs allow you to provide features like self-serve data preparation, smart data visualization and assisted predictive modeling, designed with natural language processing (NLP) so users can leverage familiar NLP Search techniques to find and use data – and it is all presented within the confines of their favorite enterprise applications, mobile apps and can be presented within websites that contain crucial data to provide up-to-date analysis of issues, projects, etc. If your users have access to embedded BI and integration APIs, they don’t have to learn a new, complicated system to engage with augmented analytics. They can use a single sign-on to the application they typically use and perform analytics within that application.

Plan for the Future

When you choose an augmented analytics solution and/or an IT consultant, be sure to plan for change and for the future. Whether you are adding locations, users or new software to your environment, you will want an augmented analytics and BI tool that will support your needs now and in the future and that requires a focus on flexibility and agility and on continuous upgrades and improvement of the solution you choose, along continuous improvement and upgrade of IT consulting skills and knowledge.

Techniques to Ensure Successful Augmented Analytics Implementation

There are many other considerations involved in implementing augmented analytics and meeting ROI and TCO expectations. Contact us for more information about the potential and benefits of Embedded BI And Integration APIs, and Augmented Analytics.

Original post : Techniques to Ensure Successful Augmented Analytics Implementation!

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Accounting and Finance Pros Can Use Tally ERP Analytics! https://www.elegantjbi.com/blog/2022/04/18/accounting-finance-pros-tally-erp-analytics/ https://www.elegantjbi.com/blog/2022/04/18/accounting-finance-pros-tally-erp-analytics/#comments Mon, 18 Apr 2022 15:31:07 +0000 https://www.elegantjbi.com/blog/?p=8398 Continued]]> accounting-and-finance-pros-can-use-tally-erp-analyticsLeverage Integrated Analytics Reporting in Tally ERP!

The Rochester Institute of Technology (RIT) states that, ‘Accounting analytics can help an organization answer financial questions by looking at all the data gathered by a company (e.g., transactional data, financial data, investment analysis, etc.) and analyzing this information to gain significant insights, predict future outcomes, or even ascertain risk.’

‘There is no doubt that the amount of information contained in accounting and finance systems can be daunting but analysis of this data in an easy-to-use reporting environment can reap numerous rewards without reducing productivity or frustrating users.’

For accounting firms serving a client base or accountants within a business who are tasked with managing expenses, there is no doubt that a basic accounting system is mandatory. But, in today’s competitive environment, the do-more-with-less approach is rampant and accountants, finance professionals, inventory managers, purchasing managers and other finance-related professionals find it increasingly difficult to manage the data and monitor it in a way that provides value to clients and colleagues.

New roles include a value-based approach where the team is expected to provide insight, reduce expenses, spot trends, make recommendations and do it all in a fact-based environment where missteps will be mitigated and competitive advantage is key.

For users of the Tally® ERP Solution, the availability of integrated augmented analytics and reporting provides true benefits. The integration of analytics across all modules allows team members to analyze and report on data to solve problems, identify opportunities and make recommendations that will advance the interests of the business using a desktop or a mobile app approach.

Tally ERP Integrated Analytics Provides a Competitive Advantage

Available Reports Include:

OVERVIEW

Overview of key business parameters, e.g., Sales, Purchase, Payable & Receivable, Income & Expense, Cash & Bank and Duties and Taxes, and monthly trends. Also includes Top and Bottom Analysis, Contribution Analysis, and KPI analysis of these key indicators.

SALES & PURCHASE

Explore sales to date, and monthly, quarterly and yearly KPI and trends. Analyze monthly sales, top customers and detailed sales register.

BANK & CASH

Reveal trends and patterns in banking and cash results over a period of time. Users can compare results from previous time periods.

PAYABLE & RECEIVABLE

Breakdown payables and receivables by creditors and debtors as well as by products, services and components. Look for trends for overdue collections.

INVENTORY

Analyze inventory for shortages and overages. Explore overstock, understock, suppliers, products and shipping and distribution.

TAXES

Examine previous taxes, tax due summary, estimate tax obligations, analyze taxes for future periods.

COST CENTER

Analyze cost center balances and movements by cost center groups, cost center accounts as well as their association with ledgers.

LEDGER

Analyze ledger entries and balances in details with drill-down to individual voucher level.

DRILL DOWN

Pre-built drill-down views to balances at higher level groups, and drill down in hierarchy to ledger and transaction level.

ACCOUNTS STATEMENTS

Ideal for accountants for statutory submission purposes, and to review balance sheet statement, trial balances, profit and loss statements and more.

REPORTS

Various interactive reports with drill-down to slice and dice data by vendor, product, service, cost, sales person, location, customer, inventory, purchasing, costs, etc.

When these reports and tools are combined with the skill and knowledge of an accounting or a finance professional, the results can be profound. There is no doubt that the amount of information contained in accounting and finance systems can be daunting but analysis of this data in an easy-to-use reporting environment can reap numerous rewards without reducing productivity or frustrating users.

‘The integration of analytics across all modules allows team members to analyze and report on data to solve problems, identify opportunities and make recommendations.’

Find out how the addition of SmartenApps For Tally will support analytical initiatives and provide benefits to your users and your enterprise. Users can Download And Register for SmartenApps for Tally and use Tally data to analyze, explore and clarify and to provide insight to clients, colleagues, management and team members.

Original Post : Tally ERP Integrated Analytics Provides a Competitive Advantage!

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SME Businesses Must Engage in Culture Change to Successfully Integrate Self-Serve Advanced Analytics! https://www.elegantjbi.com/blog/sme-businesses-engage-culture-change-successfully-integrate-self-serve-advanced-analytics.htm https://www.elegantjbi.com/blog/sme-businesses-engage-culture-change-successfully-integrate-self-serve-advanced-analytics.htm#comments Wed, 13 Apr 2022 08:25:52 +0000 https://www.elegantjbi.com/blog/?p=8393 Continued]]> sme-businesses-must-engage-in-culture-change-to-successfully-integrate-self-serve-advanced-analytics-bannerSmall and medium sized businesses (SMEs) are often challenged to satisfy all the roles and responsibilities in the organization and most team members wear more than one hat. That feeling of being overstretched is typical of growing businesses and, in an increasingly competitive market with businesses fighting for skilled resources, it is difficult to meet budget and scheduling goals and get it all done.

One of the most common SME considerations today is how to satisfy the need for actionable data and fact-driven decisions without hiring a team of data scientists. A recent Gartner study states that, the number of data and analytics experts in business units will grow at three times the rate of the experts in IT departments, forcing companies to rethink their organizational models and skill sets. That prediction is a reflection of the move to self-serve data analytics and it recognize that SMEs must further empower their team members and hold them accountable for results.

SME Businesses Must Engage in Culture Change to Successfully Integrate Self-Serve Advanced Analytics!

But, to democratize data and enable data literacy across the SME organization, the business cannot simply implement an advanced analytical solution. It must fundamentally change the enterprise culture so that the management team, IT and professional analysts support and encourage the use of data and facts in presentations, and in business user advancement and skills, and that concept of Citizen Data Scientists is embedded in each department and division.

The demand for hybrid skills (soft, technical and functional skills) is growing day by day and nearly every business, no matter the size, now requires a data-literate workforce. No matter the employee role, every user must be able to use and understand data and to share and explain data in a meaningful way.

Augmented analytics tools provide guidance and recommendations so users can find data and analyze it in a way that is meaningful to them and to their audience, without having the skills of a data scientist. Sophisticated functionality is married with simplicity of use and intuitive environs, so business users can enjoy data popularity and power users will emerge to further solidify the collaborative data-driven environment in the organization.

While SME organizations can greatly benefit from self-serve advanced analytics, the enterprise must be prepared to understand that value and to support user adoption and empowerment. Don’t just focus on teaching the basics of data analysis and the use of tools. Your business must also focus on helping users and managers to understand the context of data within a particular team or department and mentor and support users as they make the transition from being data dependent to becoming more autonomous and data literate.

To make the transition to self-serve augmented analytics, SMEs can find and nominate champions within each area of the business and look for opportunities to suggest and support projects that entail data analysis and presentation with the goal of creating actionable outcomes that will encourage the team and individuals to embrace data analytics and use it as part of the process on a daily basis. An SME should tie metrics and data analytics to goals and objectives to engender analytical deliverables and insight. As the culture shifts, the SME business can also encourage the collaboration of IT, Citizen Data Scientists and analysts or data scientists to further solidify the organization.

This type of culture change allows the SME business management team to better leverage the functional and professional knowledge of business users by allowing them to test theories and hypotheses and validate business decisions to get the best outcomes for every stakeholder in the business.

Original Post : SME Businesses Must Engage in Culture Change to Successfully Integrate Self-Serve Advanced Analytics!

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Leverage Key Performance Indicators to Achieve Results! https://www.elegantjbi.com/blog/leverage-key-performance-indicators-achieve-results.htm https://www.elegantjbi.com/blog/leverage-key-performance-indicators-achieve-results.htm#comments Tue, 12 Apr 2022 11:04:28 +0000 https://www.elegantjbi.com/blog/?p=8372 Continued]]> leverage-key-performance-indicators-to-achieve-resultsKey Performance Indicators and Performance Management are Crucial to Business Agility!

When a business takes on the task of going from an opinion-based, guessing game environment to a metrics-based, fact-based environment, it must decide WHAT to measure. Metrics are fine, but deciding what is important to measure is crucial. You can measure the wrong things and end up knowing nothing about what is happening in your enterprise, and which tasks and activities are contributing to your bottom line, as opposed to the tasks that are non-productive and business processes that should be modified.

‘Include key performance indicators and performance management in your strategy to understand why your results are improving or declining…stop working the dark.’

KPIs and Performance Management Drive Results

The University of California in Los Angeles (UCLA) focuses organizational metrics in five areas of the enterprise:

  • Customer Satisfaction
  • Work Environment
  • Business Processes
  • Learning and Innovation
  • Financial

This approach can provide an example of a roadmap, but every organization is different and establishing key performance indicators (KPIs) that reflect your business focus, industry, function and market will be an exercise that is unique to your organization.

One thing is very clear, metrics are critical to performance management and businesses that wish to establish a fact-based, measurable environment must provide access to tools and software that will allow management, IT, analysts and business users to create, monitor and manage KPIs and metrics using collaborative tools that make it easy to integrate data form disparate sources and use that data to analyze and measure for decision-making, problem solving and course correction.

KPI tools will provide critical metrics by which you can measure success and avoid subjective results and opinion-driven decisions.

Features and Functionality should include:

  • Simple, easy-to-use business intelligence and BI tools with multidimensional KPI capability
  • Browser-based access to encourage user adoption and enhance productivity and collaboration
  • Flexible tools with interactive options to change frequencies, dimension breakdowns and allow users to drill down to analyze trends, etc.
  • Ability to monitor at individual, team, department, division and company level
  • Expression engine to set polarity, frequency and threshold levels

Every business is under pressure to capitalize on the business knowledge and professional skills of its team members and to give them the analytics and tools they need to make recommendations and suggestions and to solve problems and, most importantly, to find and leverage opportunities to improve business results. Whether you are beholden to a board of directors, shareholders or to an executive team looking to cut costs and stay on target, it is crucial to include key performance indicators and performance management in your strategy. If you don’t understand why your results are improving or declining, you will be working the dark.

‘Every organization is different and establishing key performance indicators (KPIs) that reflect your business focus, industry, function and market will be an exercise that is unique to your organization.’

Find out how Key Performance Indicators (KPIs), performance management, Self-Serve Business Intelligence Tools and Augmented Analytics tools can improve your business results. Let us help you achieve your vision and improve productivity and insight across the organization.

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Self-Serve Data Preparation Improves Results! https://www.elegantjbi.com/blog/self-serve-data-preparation-improves-results.htm https://www.elegantjbi.com/blog/self-serve-data-preparation-improves-results.htm#comments Thu, 07 Apr 2022 15:00:37 +0000 https://www.elegantjbi.com/blog/?p=8360 Continued]]> self-serve-data-preparation-improves-resultsInclude Self-Serve Data Preparation in Your Augmented Analytics Solution

Gartner predicted that ‘…data preparation will be utilized in more than 70% of new data integration projects for analytics and data science.’ If your business is not already including this approach in analytics and decision-making, it is missing a crucial link to success. Self-serve data preparation and augmented analytics solutions are now more popular than ever. By democratizing data and improving data literacy, the business can do more with less. But the sheer volume of data within an organization can be challenging.

‘By providing augmented analytics with self-serve data preparation business users with average skills can perform data preparation to prepare data for their analytics using tools that enable data extraction transformation and loading.’

If a business user has access to integrated data from disparate systems and can easily prepare that data in a self-serve environment, the team can analyze data, gain insight and make decisions without waiting for IT or data scientists to assist them. This makes the organization nimble and agile and ensures that decisions include all the relevant data.

How Can Self-Serve Data Prep Help My Business?

Benefits of Self-Serve Data Preparation

  • Improve business analyst and business user productivity and collaboration
  • Reduce the time required to prepare data for analysis
  • Reduce user dependence on business analysts, IT team, and ETL and SQL expertise
  • Enable Social BI and data popularity
  • Balance organizational agility with appropriate data governance
  • Ensure data quality
  • Provide easy-to-use tools for business users to search, profile and catalogue, shape, reduce, combine, clean and explore, data, ascertain data lineage, collaborate, connect, mash-up, use auto-suggest tools to define relationships, JOINs and type casts, perform sampling and process outliers

By providing augmented analytics with self-serve data preparation business users with average skills can perform data preparation 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 IT.

‘Self-serve data preparation and augmented analytics solutions are now more popular than ever.’

Explore the advantages of Augmented Analytics Products And Services, and Self-Serve Data Preparation tools. Let us help you implement a solution that will be suitable for your team members and your business results.

Original Post : How Can Self-Serve Data Prep Help My Business?

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Smarten Support Portal Updates – March – 2022! https://www.elegantjbi.com/blog/smarten-support-portal-updates-march-2022.htm https://www.elegantjbi.com/blog/smarten-support-portal-updates-march-2022.htm#comments Mon, 04 Apr 2022 08:55:48 +0000 https://www.elegantjbi.com/blog/?p=8344 Continued]]> smarten-support-portal-updates-march-2022We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. SSDP : Convert timestamp based text formats to Timestamp
  2. SSDP : Create dataset/cube using stored procedures in RDBMS
  3. SSDP : Apply rounding logic to Time data

Predictive Use cases

  1. One-Way Anova test using Smarten Augmented Analytics

Training Use cases

  1. How to Derive Daily and Monthly Opening and Closing Covid Cases

Forum Topics

  1. Dataset : How can I create a dataset using stored procedures in RDBMS instead of a query?
  2. Dataset : Dataset Action Editor – Action item status (active or inactive) is not saved permanently

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

Original Post : Smarten Support Portal Updates – March – 2022!

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The Value of Tally ERP Web-Based Accounting Analytics! https://www.elegantjbi.com/blog/tally-erp-web-based-accounting-analytics.htm https://www.elegantjbi.com/blog/tally-erp-web-based-accounting-analytics.htm#comments Thu, 31 Mar 2022 12:19:45 +0000 https://www.elegantjbi.com/blog/?p=8327 Continued]]> the-value-of-tally-erp-web-based-accounting-analyticsWeb Access to Accounting Analytics Reporting is Crucial to Business Success!

The Accounting Research Center and Continuous Auditing & Reporting Lab at Rutgers University stated that, “The audit profession is leveraging technology and electronic information to expand the auditor’s ability to access and analyze vast amounts of information.”

The recognition of this new reality and its importance is crucial to building a foundation of a fact-based, analytical approach to accounting, auditing, and other finance-related functions in businesses all around the world. In the past, the accounting function was often seen as a ‘bean counter’ function, producing simple, columnar reports and tracking expenses and revenue.

‘A rich array of built-in, web-based reporting access and, for every accounting and these reports can be used as a foundation for the new analytical environment and to encourage the use of that analysis to make decisions and recommendations.’

Today, access to data analytics is crucial to enterprise success and, if accounting and auditing professionals have that access in a simple, easy-to-use interface, it is more likely they will adopt and use these new tools.

Users of the Tally® ERP Solution now have the ability to access and analyze data via web browser, and can leverage these integrated analytical tools in a simple environment with built-in reports that are easy to produce and easy to understand. This type of business user analytics can take the accounting function to another level by adding value and insight that can be used to advise clients and colleagues and by spotting trends, identifying and solving problems and capitalizing on opportunities.

In this article, we highlight the types and purpose of these analytical reports for reference and the value of these web-based reporting tools.

Stay Abreast of the Trends with Accounting Analytics

OVERVIEW

Overview of key business parameters, e.g., Sales, Purchase, Payable & Receivable, Income & Expense, Cash & Bank and Duties and Taxes, and monthly trends. Also includes Top and Bottom Analysis, Contribution Analysis, and KPI analysis of these key indicators.

SALES & PURCHASE

Explore sales to date, and monthly, quarterly and yearly KPI and trends. Analyze monthly sales, top customers and detailed sales register.

BANK & CASH

Reveal trends and patterns in banking and cash results over a period of time. Users can compare results from previous time periods.

PAYABLE & RECEIVABLE

Breakdown payables and receivables by creditors and debtors as well as by products, services and components. Look for trends for overdue collections.

INVENTORY

Analyze inventory for shortages and overages. Explore overstock, understock, suppliers, products and shipping and distribution.

TAXES

Examine previous taxes, tax due summary, estimate tax obligations, analyze taxes for future periods.

COST CENTER

Analyze cost center balances and movements by cost center groups, cost center accounts as well as their association with ledgers.

LEDGER

Analyze ledger entries and balances in details with drill-down to individual voucher level.

DRILL DOWN

Pre-built drill-down views to balances at higher level groups, and drill down in hierarchy to ledger and transaction level.

ACCOUNTS STATEMENTS

Ideal for accountants for statutory submission purposes, and to review balance sheet statement, trial balances, profit and loss statements and more.

REPORTS

Various interactive reports with drill-down to slice and dice data by vendor, product, service, cost, sales person, location, customer, inventory, purchasing, costs, etc.

As you can see, there is a rich array of built-in, web-based reporting access and, for every accounting and these reports can be used as a foundation for the new analytical environment and to encourage the use of that analysis to make decisions and recommendations.

‘Users of the Tally® ERP Solution now have the ability to access and analyze data via web browser, and can leverage these integrated analytical tools in a simple environment with built-in reports.’

Find out how the addition of SmartenApps For Tally will support your accounting-related analytical initiative and bring your team and your business to the next level. Users can Download And Register for SmartenApps for Tally and use Tally data to analyze, explore and clarify.

Original Post : Stay Abreast of the Trends with Accounting Analytics!

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Include Mobile BI in Your Augmented Analytics Requirements https://www.elegantjbi.com/blog/include-mobile-bi-augmented-analytics-requirements.htm https://www.elegantjbi.com/blog/include-mobile-bi-augmented-analytics-requirements.htm#comments Mon, 28 Mar 2022 13:23:30 +0000 https://www.elegantjbi.com/blog/?p=8312 Continued]]> include-mobile-bi-in-your-augmented-analytics-requirementsWhat Are the Advantages of Mobile BI and Augmented Analytics?

A recent report revealed that by, 2028, the Augmented Analytics market is projected to reach USD 46.26 billion at a CAGR of 24.30%. The business intelligence solution market has evolved into augmented analytics and these solutions designs have progressed to support average business users with simple solutions that combine sophisticated analytical techniques and algorithms with easy navigation, reporting and insight.

‘Augmented Analytics and BI tools should support the user within the walls of the office and outside the office with Mobile BI so users can work remotely and still have all the information they need, working on whatever device is easiest for them to access at the time.’

There are a number of factors to consider when your enterprise reviews prospective BI tools and augmented analytics solutions. These factors include available features, user access, including mobile access, ease-of-use and more.

When a business intends to implement an augmented analytics solution to improve data democratization and data literacy among its team members, one of the most important considerations is the concept of Mobile BI. Mobile business intelligence and analytics allows the enterprise to operate in the real world, with team members working remotely, in hotel rooms, in airports and on the road.

Even the most impressive augmented analytics tools will fail at user adoption if access is limited to desktops within the walls of the enterprise.

Mobile BI is an Important Component of Augmented Analytics

Here are just a few of the benefits the business will enjoy with a Mobile BI and Mobile Augmented Analytics app:

  • Native app, with seamless user interface for a great user experience (Ux). Available for iOS and Android
  • Extends the office environment. Allows swift analysis and decisions from anywhere
  • Encourages user adoption and provides support for BI investments and data democratization
  • Access rights are defined on the server, so security and privacy is ensured at all levels
  • Hosted within IT infrastructure –on premises, public or private cloud
  • Business Users have access to dashboards, reports, Clickless Analytics – Google-type Natural Language Processing (NLP) Search functionality
  • Start-up is easy, within a few minutes and support is readily available
‘One of the most important consideration in choosing a BI tool or augmented analytics solution is the concept of Mobile BI.’

When the business combines Modern BI tools with advanced analytics, it can encourage user adoption with tools that are easy and intuitive to use, thereby improving total cost of ownership (TCO) and return on investment (ROI). Business users with average skills can leverage BI tools and augmented analytics to gather and analyze data and receive results that are clear and easy to understand. These tools should support the user within the walls of the office and outside the office with Mobile BI so users can work remotely and still have all the information they need, working on whatever device is easiest for them to access at the time.

Explore the advantages of Mobile BI and world-class Augmented Analytics Products And Services. Let us help you implement a solution that will be suitable for your team members and your business results.

Original Post : Mobile BI is an Important Component of Augmented Analytics!

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8 Suggestions to Assure a Great Software Demo! https://www.elegantjbi.com/blog/8-suggestions-assure-great-software-demo.htm https://www.elegantjbi.com/blog/8-suggestions-assure-great-software-demo.htm#comments Wed, 23 Mar 2022 13:02:43 +0000 https://www.elegantjbi.com/blog/?p=8295 Continued]]> eight-suggestions-to-assure-a-great-software-demoWhether you are a software vendor, and IT consultant or a software customer, you have probably endured your share of software demos. Unfortunately, not every software demo is successful and, when things go wrong, it can be frustrating, and disappointing, for a customer and devastating for the vendor or consultant trying to sell a product.

In my mind, there is NO reason for a software demo to go wrong! But, if the vendor or consultant wants to ensure success, there are a few primary considerations.

 

 

  • The sales/technical team must have done its homework and truly understand what the customer wants and needs and how they will use the software.
  • The team must have a comprehensive understanding of the features of the product and the supporting services.
  • The team must understand the principles and components of a good demo (enough of the right information, not too much mind-numbing detail and no crucial gaps).

In order to make your demos consistently excellent you must remember one thing above all else:

8 Suggestions to Assure a Great Software Demo

In the meantime, here are a few suggestions to help you prepare and execute a great software demo:

  1. BE PREPARED: NEVER go into a demo unprepared. Don’t assume that your software will sell itself. Remember that the customer will likely see many competitive products and you will want them to remember YOURS. KNOW what the customer needs, know their pain points and know the skill level of their users. Know the gaps and issues they want to address and be ready to clearly and quickly demonstrate the product to provide answers for their issues. Show them that you have been listening. Know whether they will need to integrate the product, know how they currently produce reports, know WHO uses the existing system and who will use the new software. DO NOT show every corner of the product. Show what matters to THIS customer. You should be prepared to answer questions and clarify (although your demo should ideally, provide most of the answers if your preparation is thorough enough). ANTICIPATE and be ready!
  2. TEST YOUR DEMO: PLEASE schedule and execute a test run with your team. Role-play is a great way to see if you are prepared. Have a trusted team member play the role of the customer, ask appropriate questions and give you feedback later on how to improve the presentation.
  3. MAKE IT REALISTIC: When you are creating a demo environment, be sure to use the company name, logo and REALISTIC data. Customers don’t want to see things that look obviously fake. Think about watching a movie and being jarred out of the moment by a bad edit or cut or something that is obviously wrong for the scene. You want to immerse the customer in the demo. Just like a walk-through of a home sale, you want the customer to picture THEIR data in the software and to see themselves using the product and getting things done!
  4. FOCUS ON THE DEMO: Keep your introductions and general overview information short and sweet. The customer wants to see the software in action. They do not want or need a 60-minute slide presentation! You can provide handouts that describe the history of the company and include referrals or testimonials. Don’t try to sell yourself or the company. Sell the innovative products and services as they apply to the customer needs!
  5. KNOW YOUR PRODUCT AND BE SURE IT WORKS: Know what your product can do and be sure everything is functional and ready for an audience. There is nothing worse than having technical problem or being uneducated about a particular aspect of the software. Test connections, test equipment, test, test, test, and be READY. Do not make a customer wait for a glitch to be resolved. That is just unprofessional and will likely lose the sale.
  6. TELL A STORY…AND PACE YOURSELF: Don’t be SO immersed in the software that you forget to explain what you are doing or what you are about to do. Remember that the customer probably hasn’t seen the product before and, while it may be easy enough for a three-year-old to use (in your mind), the customer will feel more comfortable if you can ‘story board’ the experience as you go. Go quickly enough to avoid boredom but not so quickly that the customer will get dizzy trying to follow your cursor!
  7. WATCH THE TIME: Respect the customer’s time. Do NOT run over the allotted time for the demo and do allow time for questions. Stay on track and watch the clock. You will have to adjust your pacing and schedule to accommodate questions and other issues but you should always know where you are in the flow of the presentation and have a mental grasp of what you MUST compete before the end of the session. Be flexible enough to know what has to be done and what you can eliminate if time is an issue. Sometimes people are called away during a session and you need to know how to handle issues related to planned vs. actual time available.
  8. CALL FOR ACTION: ALWAYS end the demo with an agreement on where things go from here. When will you talk again? Will you follow-up to answer questions? How does the client reach you? What does the customer expect in terms of a schedule? DON’T be pushy or demand a decision but DO leave them with a call to action.

The best software demos may seem effortless but the key to success is in the preparation, and the research and a solid grasp of human nature, as well as how people like to receive information, and how customers analyze information to make a decision. Get yourself a good mentor and practice, practice, practice. You (and your team) will see a definite improvement in conversions and customer satisfaction and, as the first face of the business, you will establish a great customer rapport and help your enterprise reputation!

Original Post : 8 Suggestions to Assure a Great Software Demo!

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Self-Serve BI and Augmented Analytics Has Many Rewards! https://www.elegantjbi.com/blog/self-serve-bi-augmented-analytics-rewards.htm https://www.elegantjbi.com/blog/self-serve-bi-augmented-analytics-rewards.htm#comments Tue, 22 Mar 2022 08:52:57 +0000 https://www.elegantjbi.com/blog/?p=8263 Continued]]> self-serve-bi-and-augmented-analytics-has-many-rewards

Address the Challenges and Enjoy the Benefits of Self-Serve BI Tools!

If you are a business manager, senior executive, IT professional or analytical professional, you are probably well aware of the emergence of business intelligence solutions, BI tools and augmented analytics for business users. In all likelihood, you have been hearing about these trends in annual conference and industry journals. If your business has not yet adopted such an initiative, it is likely to do so within the next year. But it might surprise you to know that, world renowned technology research firm, Gartner, predicts that ‘By 2022, augmented analytics will be ubiquitous, but only 10% of users will use it to its full potential.’ Given the focus and effort invested in business intelligence and augmented analytics, this prediction is disappointing, but understandable.

‘With complete insight, and all users on the same page, the organization will be more productive and can do more with less.’

There are numerous reasons for this ‘failure to launch’. In this article, we will focus on the top three challenges and the top three benefits of self-serve business intelligence.

 

TOP THREE CHALLENGES

Enterprise Support

It isn’t enough to make a decision and to declare that the business will invest in self-serve business intelligence. If a business is to succeed, there must be an understanding of the challenges. Not the least of these challenges if the existing culture and expectations at every level, including management, users, IT, HR, etc. As with any major change in an organization, it is important to educate the team on what, why and how, and to listen to concerns and address those concerns in the implementation plan. Enterprise support for new initiatives must also include a thorough review of business processes, training and other factors that will affect success and a commitment to review and change the culture to support the new techniques and solutions.

User Adoption

Business users are a large part of the picture and, without their understanding of the need for and importance of this new approach, it is impossible to succeed. Self-serve BI tools and augmented analytics are designed for business users, so the organization need not worry about the need for additional training, but users with less than stellar technical skills and users who are ‘afraid’ of data, will need some additional support. The user community must also see that the organization is committed and has illustrated that commitment with new forms of employee evaluation that include the use of data to support recommendations and a willingness to embrace the new techniques and technology. In order to ensure user adoption, the organization must also take care to choose the right solution – one that will support data democratization and self-serve BI with user-friendly tools.

Organizational Infrastructure

A business that is considering business intelligence for business users must work with its IT team or an IT consultant to review and address infrastructure, hardware, and network concerns and to plan for Mobile BI to encourage users by making these new tools accessible from inside and outside the office.

If a business is willing to plan for and address concerns and issues, it will achieve many benefits. Here are three primary benefits of self-serve BI tools and data democratization.

Plan for Success and the Benefits of Self-Serve BI

TOP THREE BENEFITS

ROI and TCO

With a well-planned implementation of self-serve BI tools, the business can achieve an impressive return on investment (ROI) and control costs with a low cost of total ownership (TCO). If the business is to succeed with this type of initiative, it must choose the right solution to assure affordable use and upgrades.

Refined Results

The value of fact-based decision making cannot be overstated. Business users and executives will no longer have to depend on opinion or guesswork to make decisions, so there will be few missteps in the market and the organization will be nimble in its response to customer demand and to the changing market. With complete insight, and all users on the same page, the organization will be more productive and can do more with less.

Competitive Advantage

A business that has a well-trained, informed staff and a seamless approach to data management, is better positioned and able to address the rapidly changing market and can gain a competitive advantage.

‘If your business has not yet adopted…a self-serve BI…initiative, it is likely to do so within the next year.’

Find out how Self-Serve Business Intelligence Tools and Augmented Analytics can improve your business results. Let us help you achieve your vision and improve productivity and insight across the organization.

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Include Embedded BI into Your Business Applications! https://www.elegantjbi.com/blog/include-embedded-bi-business-applications.htm https://www.elegantjbi.com/blog/include-embedded-bi-business-applications.htm#comments Wed, 16 Mar 2022 12:25:03 +0000 https://www.elegantjbi.com/blog/?p=8235 Continued]]> include-embedded-bi-into-your-business-applications

A recent survey found that 93% of application teams report improvement in user experience as a result of embedded analytics, and 94% of teams report improved customer satisfaction with embedded analytics. The concept of embedded BI is simple. By leveraging APIs, the augmented analytics solution is embedded within familiar enterprise apps and made available to users via single sign-on so that the user can access  favorite software solutions and applications to perform tasks and use the data contained there to analyze data and make decisions.

‘Users can access familiar business applications while enjoying the capabilities and opportunities provided by augmented analytics – all within a single sign-on environment.’

Embedded BI Makes Business User Analytics Seamless

There are many benefits to Embedded BI approach including:

  • World-Class Data Architecture provides access to a wealth of data sources and data warehouses, and accommodates business application architecture with single-tenant mode or multi-tenant modes.
  • Flexible Deployment via public or private cloud, or enterprise on-premises hardware. Deploy anywhere! There are no environmental dependencies.
  • Simple Tenant Management to deploy with a shared data model for single-tenant mode or choose an isolated data model for multi-tenant mode and SaaS applications. The business can create common data models and BI object templates to publish across tenants with just a single click.
  • Single Sign-On Access (SSO) for access to Smarten analytics, using the same login credentials as those employed to access the business application. Businesses will have the confidence of leveraging existing security protocols including OAuth2, OpenID and other custom SSO authentications. Enterprise developers can implement custom SSO authentication using AD or Open LDAP to link with existing portals or applications.
  • Access to Embedded BI Objects from Within Your Application with easy to use, scalable Integration API. Integrate objects (Dashboards, Crosstab, Tabular, KPIs, Graphs, Reports, Clickless Analytics and more) into your business application with minimal efforts – in just a few hours.
  • Comprehensive Administration APIs to manage object access rights, user access rights and perform configuration and administration tasks within a single-tenant or multi-tenant environment.
  • SDKs Designed to Support Your Frameworks and Technology including .NET, ASP.NET, PHP, MVC, .NET Core, Vue, Angular, React, Java and more! Tuned for all major frameworks, so your business can embed BI objects into enterprise Web or Mobile Apps. You can also work directly with data using web services in web applications or mobile apps.

Today’s business leaders have recognized the need for augmented analytics and data democratization and want to use augmented analytics to improve data literacy and the quality of decisions across the enterprise. But it isn’t always easy to get business users to embrace and adopt new solutions. Even if these solutions are easy to use, the need to learn and use a new, separate system to get information can put off even the most dedicated user. But, when users can follow the usual business processes to complete tasks, and access familiar business applications while enjoying the capabilities and opportunities provided by augmented analytics – all within a single sign-on environment, it is easier to encourage user adoption and to gain advantages, improve return on investment (ROI) and improve Total Cost of Ownership (TCO).

‘By leveraging APIs, the augmented analytics solution is embedded within familiar enterprise apps and made available to users to perform tasks and use the data contained there to analyze data and make decisions.’

Find out more about Embedded BI And Analytics and how it can help your business succeed and improve user adoption and data literacy. Discover the benefits of the Augmented Analytics approach to advanced analytics.

Original Post : Include Embedded BI into Your Business Applications!

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3 Ways You Can Use Tally Analytics and BI Reporting to Succeed! https://www.elegantjbi.com/blog/3-ways-tally-analytics-bi-reporting-succeed.htm https://www.elegantjbi.com/blog/3-ways-tally-analytics-bi-reporting-succeed.htm#comments Tue, 15 Mar 2022 15:18:15 +0000 https://www.elegantjbi.com/blog/?p=8222 Continued]]> 3-ways-you-can-use-tally-analytics-and-bi-reporting-to-succeed-bannerIf your business is using Tally ERP solution for accounting, finance, inventory, purchasing and other finance-related disciplines, it would behoove you to consider adding integrating, built-in analytics so your skilled professionals can gain insight into results and, most importantly, add value to clients, colleagues and managers by providing advice and counsel that is fact-based and takes into consideration the trends, patterns, issues and opportunities revealed by augmented analytics and business intelligence reporting.

In this article, we look at just three of the ways a business can leverage augmented analytics and integrated reporting to optimize the value of Tally ERP and the time and skill of its professional resources.

3 Ways You Can Use Tally Analytics and BI Reporting to Succeed

Near Real-Time Access with Desktop and Mobile User Interface

With augmented analytics, the business user can leverage stunning visualization, dynamic charts and graphs, modern business intelligence features, and key performance indicators (KPIs) metrics to help your business sustain a competitive edge. There is no need to involve IT or data scientists or business analysts. The insight and valuable ‘nuggets’ of information are at your fingertips with built-in reporting. Users can share, collaborate and work with data to analyze results and clearly see what direction is best.

Reports that ‘Speak Your Language’

Accountants, finance professionals, inventory managers and purchasing professionals are just a few of the staff that will find built-in reporting designed to answer questions and illustrate results in a way that reveals trends, patterns, and helps the team to get to the bottom of things. Whether your users want to see data about ledgers, vouchers, detailed sales receipts, tax and statutory implications, inventory and supplier purchasing data or any other discipline, there is something for each of your business users.

Managing the Business

Businesses cannot survive without a plan and today, business is changing so quickly that it is often hard to anticipate results. Whether your questions relate to the efficacy of supplier networks, the decrease or increase in sales following a price increase, the ‘sweet spot’ for inventory managers, shipping or distribution issues or the dreaded tax planning for quarterly or annual tax cycles, it is crucial that the business make concise plans and have the confidence that these plans will be accurate. That accuracy in planning ensures that the company can have the funds to invest appropriately, receive dependable revenue from a product line and report to a Board of Directors or executive management team with reliable numbers and information.

As the business incorporates augmented analytics and built-in BI reporting with Tally ERP, each of its professional accounting and finance professionals will find creative ways to leverage these tools and add value and the business can also optimize its resources by allowing professionals to get the job done with less redundancy and a more streamlined process.

In this article, we have discussed just a few of the ways in which your business can enjoy the benefits of integrating augmented analytics with Tally ERP. If you want to get more value out of your Tally ERP solution and optimize your resources and professional efforts, Contact Us for more information on SmartenApps For Tally.  For more information about integrating Augmented Analytics with Tally ERP, visit our Blog.

3 Ways You Can Use Tally Analytics and BI Reporting to Succeed

Original Post : 3 Ways You Can Use Tally Analytics and BI Reporting to Succeed!

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Why Should I WANT to be a Citizen Data Scientist? https://www.elegantjbi.com/blog/why-should-want-to-be-a-citizen-data-scientist.htm https://www.elegantjbi.com/blog/why-should-want-to-be-a-citizen-data-scientist.htm#comments Mon, 14 Mar 2022 07:38:14 +0000 https://www.elegantjbi.com/blog/?p=8194 Continued]]> why-should-i-want-to-be-a-citizen-data-scientist3 Benefits of Making the Transition from Business User to Citizen Data Scientist!

If you are a business owner, executive or manager, you have already heard about (and are probably implementing) strategies for Citizen Data Scientists. If you are a business user, you may be hearing rumblings of this in your everyday work and wondering exactly what this type of initiative means for you and why you should consider it beneficial.

‘When a Citizen Data Scientist is recognized for their value and contribution, the business user role is elevated.’

Not long ago, the technology research firm, Gartner predicted that ‘…more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.’ While this may not seem like a foregone conclusion, the trend is definitely evolving and your business will probably be jumping on the band wagon, if it hasn’t already.

So, as a business user, considering the transformation to Citizen Data Scientist, what’s in it for you? Let’s consider just three of the benefits inherent in the Citizen Data Scientist transformation and how they can help you, as a business user, to achieve your goals.

Jump on the Citizen Data Scientist Bandwagon!

Acquiring New Skills

Many of us become complacent in our careers and positions but there is no doubt that a fresh approach to skills building will be a benefit. When you transition to a Citizen Data Scientist role, you will be using an augmented analytics solution – one that is designed specifically for business users. So, while you will not be expected to take extensive training, you will find that, as you develop a comfort level with the new augmented analytics solution and the techniques it supports, you will improve your data literacy and your comfort level with using data for decision-making. As you begin to use these skills in your day-to-day work, those skills will become engrained in your work process, thereby increasing your value to the organization.

Streamlining Your Process

We all become accustomed to the standard work and business processes we (and the organization) have developed. In fact, it is sometimes difficult to see how much more nimble and agile our processes can be until we take a step back. By integrating data from disparate data sources across the organization and leveraging user-friendly tools with built-in suggestions and guidance, users can gather information more quickly, gain additional, valuable insight into data and make confident decisions. By streamlining the process, the user community becomes more productive and avoids missteps and rework.

Encouraging Collaboration

Many businesses still struggle with business silos where information is shared only among those on a team or in a business unit. When augmented analytics is employed and the Citizen Data Scientist role is implemented, every business has the tools and access they need to perform their own tasks and to advise other departments and teams on related issues. Collaboration is key to results, and provides an opportunity for business users to work across teams and business units and to be more effective.

Increasing Visibility

Each business user brings a unique combination of technical, industry, professional and business experience. By combining that knowledge and skill with insightful information, a business user can tell a story to support a recommendation or a suggestion, and can provide more appropriate and confident support and perform tasks more effectively. When a Citizen Data Scientist is recognized for their value and contribution, the business user role is elevated and the value of the combined skill set and data analytical capabilities will build a solid foundation for professional reputation.

‘as a business user, considering the transformation to Citizen Data Scientist…you might ask…what’s in it for you?’

If your business is considering transforming business users into Citizen Data Scientists, it is important to help business users understand the new role, the augmented analytics solutions they will use and the analytical techniques they will employ. A  Citizen Data Scientist Training Program; will provide a solid foundation from which to launch this initiative and help to build business user confidence. The business should also consider engaging an IT consulting partner with knowledge of the augmented analytics market, and a solution and support services to provide the guidance and Products And Services your business will need to succeed.

Original Post : Jump on the Citizen Data Scientist Bandwagon!

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Natural Language Processing (NLP): The Value of Context-Driven Searches! https://www.elegantjbi.com/blog/natural-language-processing-nlp-context-driven-searches.htm https://www.elegantjbi.com/blog/natural-language-processing-nlp-context-driven-searches.htm#comments Wed, 09 Mar 2022 08:00:54 +0000 https://www.elegantjbi.com/blog/?p=8175 Continued]]> natural-language-processing-nlp-the-value-of-context-driven-searches-bannerNatural Language Processing (NLP) may not be a term that everyone is familiar with but all consumers and business users are certainly aware of its power. You use natural language processing every day when you perform a search in Google using questions written in the same way one would speak or write to another person. Whether you know it or not, you are using NLP to process, interpret and return results that meet your criteria.

When it comes to analytics, many systems require IT or programming knowledge to write queries, or the solutions are restrictive and designed to try to anticipate what users will want to know. You may be able to choose data from a particular column or field but you are not likely to get information in a way that is easy to digest or understand. As Natural Language Processing (NLP) is applied to the analytical domain, business users find it easier to leverage an analytical tool in an augmented analytics environment where questions can be entered using natural language, but NLP without context-capability can still miss the mark.

Natural Language Processing (NLP): The Value of Context-Driven Searches

‘Context-driven searching allows the user to ask a question using the a more human, conversational approach, without having to consider which columns or fields they need or how to ask the question to get an answer that provides meaningful insight into their question.’

To truly understand the value of context-searching in NLP, let’s look first and what is commonly used in analytics and business intelligence today.

IT or Data Scientist Business Intelligence and Analytics – scripted or programmed by IT. Here a business user must provide information on what they need in order to get the results and by the time IT provides the analysis, the data may be out-of-date or incomplete and the delays may have created business issues.

Self-Serve Business Intelligence or Analytics – provides a wizard or menu where power users can create a query by clicking through options and creating reports and graphs. This approach is restricted to the capability of the system and is inflexible.

Natural Language Processing – allows users to ask a question using natural language and receive results in the same manner. In analytics, NLP is much more useful than the first two options but without the ability to consider context. This approach typically uses column filters and ID to answer basic questions, i.e., ‘what were the sales for white blouses in 2019?’ but it doesn’t provide the more subtle insight required by many users and still requires the user to specify date ranges and other information in structured fashion.

Now, let’s consider Context-Driven NLP

The true value of NLP is only just emerging as Context-Driven Searching comes to the forefront! So, what is context-driven searching and why is it so important to users? Context-driven searches allow users to go beyond restrictive searching based on column filters to provide context such as season, time series or range, polarity, and they address abbreviations, and analyze phonetics to handle misspellings, etc. What is a context-driven search?

Let’s look at a few examples:

A sales manager might ask, ‘Who sold the most alcoholic drinks in Phoenix, Arizona during Christmas of 2019?. You will notice that the sales manager does not have to enter a specific date but rather can simply ask about ‘Christmas of 2019’, and using the context-driven NLP approach, can receive results that anticipate and handle dates for holidays, seasons and events. Users can also use terms like, ‘winter of 2019’ to get results without defining a date range.

Or…

A sales manager might ask, ‘What was the worst month for cookie sales in Scottsdale in 2019?’. In this example, the context-driven NLP approach to analytics will interpret the term ‘worst’ to provide insight, taking into consideration ‘high’ or ‘low’, ‘best’ or ‘worst’ as noted by the user.

Context-driven searching allows the user to ask a question using a more human, conversational approach, without having to consider which columns or fields they need or how to ask the question to get an answer that provides meaningful insight into their question without frustrating the user by returning no results or results that have nothing to do with the question.

The value of context-driven searching in natural language processing is easy to understand. It saves the user time, and it allows users with average technical or analytical skills to leverage powerful analytical tools and gain insight into issues to solve problems and capitalize on opportunities. Because this solution is easy to use, it will ensure user adoption and it will provide improved productivity and encourage users to collaborate and share data, thereby improving data democratization and data literacy. Using context-driven search NLP improves user engagement and allows users to get more out of the system. Every team member knows how to use Google and context-driven searching is as simple as a Google search! There are no special skills and there is no training requirement.

In short, the value of context-driven NLP is this: Just ask a question and you’ll get an answer. You can use that answer to improve results, adapt and change quickly and become more agile and flexible in your approach to business.

Original Post : Natural Language Processing (NLP): The Value of Context-Driven Searches!

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How Can I Improve Business Intelligence and Augmented Analytics ROI and TCO? https://www.elegantjbi.com/blog/improve-business-intelligence-augmented-analytics-roi-tco.htm https://www.elegantjbi.com/blog/improve-business-intelligence-augmented-analytics-roi-tco.htm#comments Mon, 07 Mar 2022 08:07:45 +0000 https://www.elegantjbi.com/blog/?p=8168 Continued]]> how-can-i-improve-business-intelligence-and-augmented-analytics-roi-and-tcoBusiness managers, owners and senior executives really want to do the right thing! The goal is always to improve the business, to hire the best staff and to satisfy customers and partners. To do that, the business must build a foundation of business processes, policies, technology and software that will support goals and objectives and make it easier, more timely and more efficient to perform tasks and complete activities.

When a business considers business intelligence and augmented analytics tools, there are always concerns about selecting the right vendor and the right solution. The solution must be affordable, it must have the right features to meet business requirements and it must be dependable. And, when considering analytical solutions, the selected product must be easy to integrate so that the business can pull together data from disparate sources, gather and analyze data easily. In the world of self-serve BI tools and augmented analytics, the solution must also be easy for the average business user to employ.

A business manager, IT team or executive team knows well how difficult it is to engender change in the organization and, if you are asking a team member to learn a difficult, new software product, it is not likely you will be successful. But, there are worse things than user dissatisfaction; namely what happens when your users do not adopt the software. What happens is that your return on investment (ROI) plummets and your total cost of ownership (TCO) goes way up.

That means you have a shiny new product sitting on the shelf, with nothing to show for your investment. So, how does one improve ROI and TCO for business intelligence and augmented analytics? By ensuring that users will have what they need to do the job and will WANT to adopt the solution, and by making it easy to achieve outcomes using sophisticated tools that are easy to use and will illustrate to the user that it is to their benefit to adopt the solution and use it on a daily basis.

Business users want to do a good job and, over time, they have learned where and how to engage with tools and processes that support their needs. If they have a software tool that they use every day, they aren’t likely to want to learn something new. BUT, if that something new is integrated with a familiar software product and allows them to perform analysis and to see, share and report on data from within that familiar (favorite) enterprise application, the business users is more likely to give it a try.

As your team members get used to the new application, and their managers see and appreciate the new, timely and fact-based information, and realize the benefits, the users who resist the adoption of the new solution are more likely to follow suit.

In addition to achieving better TCO and ROI on the augmented analytics, business intelligence application, the business will see improved results for other applications as well. Mobile apps, enterprise applications and even websites that provide critical information can produce and display analytics that are timely; data that answers questions and allows for planning problem solving. So, the addition of augmented analytics and embedded BI will allow your business to achieve better ROI and TCO across all solutions and applications within the organization.

By allowing team members to perform analytics within enterprise applications, the business can engender an appreciation for data, improve data literacy and improve business results. Data will no longer reside in silos and, with the integration of analytical capabilities using integration APIs, the business can find those all-important ways of saving money and optimizing resources.

For more information about Digital Transformation and how Augmented Analytics can support your business, explore our white paper: Integrate Augmented Analytics And Digital Transformation To Achieve Continuous Business ImprovementEmbedded BI And Integration APIs.

Original Post : How Can I Improve Business Intelligence and Augmented Analytics ROI and TCO?

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Smarten Support Portal Updates – February – 2022! https://www.elegantjbi.com/blog/smarten-support-portal-updates-february-2022.htm https://www.elegantjbi.com/blog/smarten-support-portal-updates-february-2022.htm#comments Thu, 24 Feb 2022 13:24:50 +0000 https://www.elegantjbi.com/blog/?p=8158 Continued]]> smarten-support-portal-updates-february-2022We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. SSDP : Manage Column in Existing Dataset
  2. SSDP : Manage columns while creating dataset

Predictive Use cases

  1. Handling Missing Values using Smarten Augmented Analytics

Training Use cases

  1. Split the dataset columns using Regex

Forum Topics

  1. Dataset : How can I split columns using Regex?
  2. Dataset : Dataset extraction in progress message is displayed while editing the joining condition?

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

Original Post : Smarten Support Portal Updates – February – 2022!

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How Can NLP Help My Business Implement Self-Serve Analytics? https://www.elegantjbi.com/blog/nlp-business-implement-self-serve-analytics.htm https://www.elegantjbi.com/blog/nlp-business-implement-self-serve-analytics.htm#comments Thu, 24 Feb 2022 08:19:29 +0000 https://www.elegantjbi.com/blog/?p=8147 Continued]]> how-can-nlp-help-my-business-implement-self-serve-analyticsWhat is Natural Language Processing and Why Do I Need it in My Advanced Analytics Solution?

What is Natural Language Processing (NLP)?

Natural Language Processing utilizes artificial intelligence to translate computer code and language into real world, human language. While the goal is to simplify human interaction with computers, NLP is a complex mix of computational linguistics and computer science. When a business is considering an augmented analytics solution that leverages natural language processing, it need not concern itself with the complicated underpinning of code and design, but should rather consider what NLP can do for its users and for its business results.

Gartner predicts that, ‘By 2023, enterprises will have doubled their current spending on natural-language-technology-based solutions’, and there is good reason for that investment.

‘When a business contemplates the deployment of an advanced analytics solution to support its goals for business agility, data literacy and competitive advantage, it is wise to select an augmented analytics solution that includes natural language processing (NLP).’

To remain competitive in an ever-changing market, with ever-changing customer buying behavior, the average business (whether local or global) must understand its clients, its market, its competitors and the trends that will change all of these factors in the near future. Team members are prized for their professional knowledge and skill but, in the past, were never part of the analytical picture. When a business needed to understand what was happening, it would turn to its business analysts, data scientists or IT team members to gather data from disparate enterprise systems and analyze that data, in hopes of answering questions.

Augmented Analytics solutions that include the Natural Language Processing approach, allow businesses to provide a solution that is appropriate for all users, no matter their technical skills.

The Benefits of NLP include:

  • NLP search allows business users to create complex searches without endless clicks and complex navigation and commands.
  • Familiar Google-type search analytics allow users to access and view clear, concise answers and analysis quickly and easily.
  • Users can compose and enter a question using common human language, e.g., ‘who sold the most bakery products in 2017 in the Southwest region?’
  • Users do not need to scroll through menus and navigation, they can simply enter a search query in or descriptions.
  • NLP clickless analytics leverages machine learning and NLP in a self-serve environment that is easy enough for every business user.
  • Businesses enjoy improved democratization and return on investment (ROI).
  • When business users can ask a question, using normal language and get a response that they can immediately understand, they are more likely to adopt the tools and use them in a way that will help the business to achieve its goals and objectives.
  • No advanced training is required.
‘Gartner predicts that, ‘By 2023, enterprises will have doubled their current spending on natural-language-technology-based solutions’, and there is good reason for that investment.’

Can NLP Increase User Adoption of Analytics Solutions?

When a business contemplates the deployment of an advanced analytics solution to support its goals for business agility, data literacy and competitive advantage, it is wise to select an augmented analytics solution; one that is designed to support business users, and one that includes natural language processing (NLP). All the data in the world is not helpful if users and businesses cannot easily find those all-important nuggets of information that will help them with a pricing decision, a marketing campaign, an investment, an HR planning issue or any other crucial business issue.

NLP creates an environment where humans can interact with data to test theories, ask questions and discover critical information easily and quickly.

Explore the advantages of Natural Language Processing (NLP)Clickless Analytics and simplified search analytics, and find out how this approach to augmented analytics can support your goals and objectives.

Original Post : What is Natural Language Processing and Why Do I Need it in My Advanced Analytics Solution?

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How Can I Succeed with a Citizen Data Scientist Initiative? https://www.elegantjbi.com/blog/succeed-citizen-data-scientist-initiative.htm https://www.elegantjbi.com/blog/succeed-citizen-data-scientist-initiative.htm#comments Thu, 17 Feb 2022 08:45:45 +0000 https://www.elegantjbi.com/blog/?p=8142 Continued]]> why-do-citizen-data-scientist-initiatives-failWhat Determines the Success of a Citizen Data Scientist Initiative?

By now, every wise business team has acknowledged the advent of digital transformation and the transformation of business users into Citizen Data Scientists. But acknowledging the reality and enabling that reality within the walls of an enterprise are two very different things. Where many businesses fail in implementing the Citizen Data Scientist initiative, it is typical to find that the business has simply decided to deploy the strategy without much planning or culture change. Without understanding the shift in workflow, responsibilities and how the use of data will change the enterprise, it is unlikely that the business will succeed in its Citizen Data Scientist initiative.

Gartner has predicted that ‘…more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.’

‘If a business is truly committed to the concept of Citizen Data Scientists, and wishes to achieve the benefits of this type of initiative, it must review its current environment, make the right augmented analytics solution selection and plan for and execute the changes required.’

This prediction reflects the shift toward the use of data within the enterprise, and rightly so. The use of real data allows the business to better plan, adjust to the realities of the market and make real-time, confident decisions. Business users with the right support and solutions can work toward common goals and make fact-based decisions and recommendations, thereby avoiding missteps in the market and improving productivity and data literacy across the enterprise.

Factors affecting the success of a Citizen Data Scientist initiative include:

Solution Selection and Support
In order to adequately support the business user community, the business must select the right augmented analytics solution; a solution that is designed for users with average skills, and provides sophisticated analytics and capabilities in a self-serve environment that is easily adopted by users across the enterprise. The best foundation for user adoption is a solution that includes a full range of features, e.g., self-serve data preparation, smart data visualization, assisted predictive modeling, and a technology-based solution that offers users the ability to search using Google-type, familiar search techniques based on natural language processing (NLP) and machine learning. By removing the complexity and the need for IT or data scientist support, the organization can ensure that the users will have tools they can leverage on a daily basis, and will WANT to use these tools to accomplish their goals.

Training
The right solution to support Citizen Data Scientists must be one that is easy to implement and does not require lengthy training. Business users want to complete tasks quickly and easily and are not inclined to adopt a new software solution that is hard to use, complex or requires additional knowledge in the way of SQL queries, training by data scientists or IT. If the user has to wait for assistance to complete a query or a report, they will find another way to get the job done, and the Citizen Data Scientist initiative will falter.

Culture Change
No major initiative can be accomplished without a comprehensive review of the culture of the organization, including how business processes and workflow are currently handled, and how and when the organization rewards business users and team members for accomplishments. If a user is presenting a recommendation or suggestion in a staff meeting, the organization must be willing to support the idea that the user must base his/her recommendation on data acquired from the augmented analytics solution, and require that reporting and suggestions are based on facts and metrics rather than opinion and guesswork. Career advancements and team leadership should reflect the willingness of the business user to embrace these new tools, and the organization and its management team must encourage, champion and support the new tools and techniques on a daily basis. It isn’t enough to say the words. The culture must be changed to acknowledge and enforce the new tools and analytical approach to decisions.

How Can I Succeed with a Citizen Data Scientist Initiative?

If a business is truly committed to the concept of Citizen Data Scientists, and wishes to achieve the benefits of this type of initiative, it must review its current environment, make the right augmented analytics solution selection and plan for and execute the changes required with an eye toward reinventing the culture and organization to encourage and support data literacy, and fact-based decision-making and improving the value of each team member by providing the tools and knowledge they need to perform at the highest level.

‘Gartner has predicted that ‘…more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.’

In order to accomplish the goal of transforming business users into Citizen Data Scientists, the organization should consider a foundational Citizen Data Scientist Training Program; one that will provide a better understanding of the role, how to collaborate, how to use the augmented analytics tools and analytical techniques and algorithms. In addition, it is wise to select an IT consulting partner with knowledge of the augmented analytics market, and a solution and support services to provide the guidance and Products And Services your business will need to succeed.

Original Post : What Determines the Success of a Citizen Data Scientist Initiative?

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Mobile BI Improves User Adoption and ROI! https://www.elegantjbi.com/blog/mobile-bi-improves-user-adoption-roi.htm https://www.elegantjbi.com/blog/mobile-bi-improves-user-adoption-roi.htm#comments Tue, 15 Feb 2022 07:37:37 +0000 https://www.elegantjbi.com/blog/?p=8126 Continued]]> mobile-bi-improves-user-adoption-and-roiHere’s How Mobile BI Encourages User Adoption and TCO!

Businesses that invest in business intelligence solutions expect to achieve results, become more competitive and improve productivity, but these businesses often fail to understand the need for Mobile BI. Mobile business intelligence should provide all the features and search capability a user needs to perform tasks and get information while on the road, working remotely or visiting a client, partner or regional office.

Gartner has predicted that by 2022, augmented analytics will be ubiquitous, but only 10% of users will use it to its full potential. While there are numerous reasons for this failure, one of the causes for poor user adoption is related to user access. A business can acquire a business intelligence solution, but if that solution is not easily accessible as and when the user needs the data, users will not adopt the solution and use it on a daily basis.

A business intelligence solution that restricts usage to in-office application greatly restricts the return on investment (ROI) and negatively impacts the total cost of ownership (TCO). Even for business functions that are typically performed in the office to trend toward doing more with less, the challenges of finding and keeping enough resources and the need for data sharing and collaboration are all impacted by the accessibility and ease-of-use of BI tools.

‘When these tools are available in a mobile environment, and accessible on iOS and Android devices, the business can be confident that every business user has access to the right data at the right time in a format that is clear and concise.’

How Mobile BI Can Improve User Access and Business Agility

Consider the following trends and challenges faced by the average business:

Data Democratization – Democratizing data improves the consistency and timeliness of decisions and creates agility so that businesses can respond more easily to competition and to resource shortages.

Changing Work Environments – Businesses today must face the fact that they are struggling to find enough resources, and enough of the right resources. The pandemic has created an uncertain environment where team members may be in the office one day and working remotely another day.

Integrating Analytics and BI for Mobile Access – Integrating Modern Analytics and BI is necessary so that business users, data scientists and executives can make the most of the data they have amassed in the enterprise and can do so easily and quickly.  Integrating modern analytics and BI in a Mobile environment is imperative if the business is to give its users the tools they need at their fingertips.

Fact-Based Decision Making – The enterprise can no longer rely on guesswork or opinion to make decisions. There is no time in the market for a misstep or a decision that might negatively impact customer satisfaction or put the business at risk. Every business user needs KPI Tools, BI Software and personalized Dashboard Tools to help them quickly gather, analyze and clarify data, to spot trends and patterns, to identity opportunities and to test theories before making changes in the market.

Mobile business intelligence allows the enterprise to focus on these challenges and issues with BI tools that make it easy to democratize data and provide access to business users (even those with average technical skills) so that they will want to adopt business intelligence tools and use these tools to perform day-to-day tasks and to manage and monitor metrics and measurements using key performance indicators (KPIs). Flexible reporting on data gathered from disparate data sources allows the business to make decisions based on the most current, most complete data picture.

‘Gartner has predicted that by 2022, augmented analytics will be ubiquitous, but only 10% of users will use it to its full potential. A business intelligence solution that restricts usage to in-office application greatly restricts the return on investment (ROI) and negatively impacts the total cost of ownership (TCO).’

When these tools are available in a mobile environment, and accessible on iOS and Android devices, the business can be confident that every business user has access to the right data at the right time in a format that is clear and concise. Allowing the users to produce reports that most accurately represent the point they want to make, and to share these reports with other users, also builds a positive user adoption environment and encourages business users to share these tools and to champion the use of business intelligence and mobile BI across the enterprise.

Find out how Mobile BI and foundational Modern BI And Analytics can help your business to achieve its goals and add value by leveraging resource time and effort and knowledge.

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Traditional & Modern BI and Analytics: A Perfect Combination Solutions! https://www.elegantjbi.com/blog/traditional-modern-bi-analytics-perfect-combination-solutions.htm https://www.elegantjbi.com/blog/traditional-modern-bi-analytics-perfect-combination-solutions.htm#comments Mon, 14 Feb 2022 10:41:58 +0000 https://www.elegantjbi.com/blog/?p=8111 Continued]]> traditional-and-modern-bi-and-analytics-a-perfect-combination-solutionsCombine Traditional BI with Modern BI and Analytics to Improve User Adoption and Gain Advantage!

The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.

A business that wishes to improve its data quality, must also consider the positive impact of data democratization, user adoption of analytics solutions and the resulting increase in productivity, collaboration and fact-based decision-making.

‘When a business selects a solution that combines Traditional BI with Modern BI tools and Augmented Analytics, it can support business and user needs today and in the future.’

There are a number of factors a business should consider when it reviews prospective solutions. These factors include available features, user access, including mobile access, ease-of-use and more. Today’s business users work in an environment that requires both traditional BI tools, and modern business intelligence with augmented analytics capabilities.

In order to clarify the importance of this combined solution approach, it is important to understand the difference between Traditional BI tools and Modern BI and Analytics Tools.

Achieve Results with Traditional & Modern BI & Analytics

Traditional Business Intelligence focuses on analyzing past results, with self-service features and basic components, including personalized dashboards for clear visualization, key performance indicators (KPIs) and reporting, as well as Mobile BI available on desktop or mobile device, Social BI and Embedded Business Intelligence with APIs to embed BI tools within familiar, favorite enterprise applications for simple, accessible analytics within the enterprise app. Out-of-the-box mobile business intelligence provides easy-to-use report formats to create non-columnar, custom reports and templates and design and configure documents that suit the needs of the business. Traditional BI tools support power business users with self-serve report creation – all without the need for SQL skills or IT assistance.

Modern BI and Augmented Analytics takes business user analytics to the next level with advanced analytics components including self-serve data preparation, smart data visualization, assisted predictive modeling and natural language processing (NLP) foundational search analytics so users can ask a simple question and get a simple answer without coding or queries. This type of solution includes key influencer analytics, anomaly detection, alerts, clickless analytics and other tools designed to support the transformation of business users to Citizen Data Scientists and to increase data literacy in the enterprise.

The benefits of a combined traditional BI and modern BI and augmented analytics solution include:

Ease-of-Use Improves User Adoption – When the business combines Modern BI tools with advanced analytics, it can encourage user adoption with tools that are easy and intuitive to use, thereby improving total cost of ownership (TCO) and return on investment (ROI). With simple, Google-like search techniques, business users with average skills can leverage BI tools and augmented analytics to gather and analyze data and receive results that are clear and easy to understand. These tools should support the user within the walls of the office and outside the office with Mobile BI so users can work remotely and still have all the information they need, working on whatever device is easiest for them to access at the time.

Integration – Embedded BI with integration APIs that allow users to access familiar enterprise applications and provide BI tools in a single sign-on environment to improve user adoption of BI tools and analytics and expand the value of existing business applications and software.

Flexibility, Upgrades and TCO Perhaps the most important factor of solution selection is to choose a solution that will stay abreast of technology and market changes. As modern BI and analytics markets change, the business will want to support its users with appropriate upgrades, new technology, new features and a solution design that reflects the most up-to-date analytics trends and position itself to be agile, flexible and responsive to the market with an affordable, dependable solution that encourages user adoption.

‘Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. When the business combines Modern BI tools with advanced analytics, it can encourage user adoption with tools that are easy and intuitive to use, thereby improving total cost of ownership (TCO) and return on investment (ROI).’

A solution that combines traditional BI tools and modern BI tools and augmented analytics ensures that the business has what it needs and that its users can leverage the tools and features that best suit their role and their responsibilities to achieve the best outcomes. There is no need to deploy and maintain two different tools or multiple technology stacks. A one-stop solution with both components allows users to access crucial analytical and BI tools using a mobile device, and to collaborate with other users to improve productivity and fact-based decision-making.

Discover the possibilities of Traditional BI Tools, Modern BI and Analytics and the advantages of the Augmented Analytics approach to advanced analytics.

Original Post : Combine Traditional BI with Modern BI and Analytics to Improve User Adoption and Gain Advantage!

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Gain Insight with Integrated Analytics for Tally Solutions! https://www.elegantjbi.com/blog/gain-insight-integrated-analytics-tally-solutions.htm https://www.elegantjbi.com/blog/gain-insight-integrated-analytics-tally-solutions.htm#comments Tue, 08 Feb 2022 10:29:41 +0000 https://www.elegantjbi.com/blog/?p=8106 Continued]]> gain-insight-with-integrated-analytics-for-tally-solutionsGoing Beyond the Numbers with SmartenApps for Tally!

The Tally® ERP Solution and its latest TallyPrime offering are popular accounting and finance related suite of modules that provides support for invoicing and accounting, inventory management, reports, credit and cash flow management, banking, cost control and analysis, payroll management and other finance-related activities.

Tally serves millions of users across industries in over 100 countries and supports a network of more than 28,000 partners, providing sales, support and services.

‘The SmartenApps for Tally approach provides value out-of-the-box with analytics, dashboards and reports.’

The Tally software solution suite has gained in popularity and is particularly popular among businesses in India. As the Tally team expands its market reach, it has added additional capabilities to better serve its clients. Among the most important new capabilities is the integration of augmented analytics to support business users in gather and analyzing data contained within the Tally modules.

The SmartenApps for Tally integration takes the Tally solution beyond data entry and basic reporting. Users can leverage familiar features and modules with integrated analytics to enable data-driven decisions and gain insight into issues, identify opportunities and solve problems, all within the environs of an intuitive dashboard, with key performance indicators (KPIs) to establish and manage metrics and pre-built reports to satisfy accounting and finance-related roles and needs.

Add Analytics to Tally Solutions for Results

Here are some of the benefits of SmartenApps for Tally analytical integration:

  • Users have near real-time access to recent transactions and data
  • Web and Mobile access allows for intuitive analysis
  • Users can access the SmartenApps for Tally using web and native mobile app user experience
  • SmartenApps for Tally extends the office environment and allows for swift analysis and decisions from anywhere
  • SmartenApps for Tally is free to use for 30 days with simple, affordable licensing fees thereafter
  • Start-up is easy, within a few minutes
  • Support is readily available
  • No need for a separate analytical solution, that will require training, access credentials and a separate sign-on

The SmartenApps for Tally approach  provides value out-of-the-box with analytics, dashboards and reports that include an Overview, Sales & Purchase, Bank and Cash, Payables and Receivables, Inventory, Taxes, Cost Center, Ledger, Drill-Down, Accounts Statements, and Reports. All of these report templates are ready-to-use, with more pre-built reports released periodically.

Business users with average technical skills can use SmartenApps for Tally to gain insight into data using value-added tools and features.

The SmartenApps for Tally application is based on the Smarten Augmented Analytics product, which is accredited by Gartner and recognized for its intuitive, easy-to-use analytics, so the business and its users can be assured of dependable, world-class features, functionality and performance.

‘Tally serves millions of users across industries in over 100 countries and supports a network of more than 28,000 partners, providing sales, support and services.’

Find out how SmartenApps For Tally can support your users and improve results within your organization. Users can Download And Register for SmartenApps for Tally and use Tally data to analyze, explore and clarify.

Original Post : Going Beyond The Numbers With SmartenApps For Tally!

 

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Case Study – Augmented Analytics OEM Partnership for U.S. Healthcare ERP Business https://www.elegantjbi.com/blog/case-study-augmented-analytics-oem-partnership-us-healthcare-erp-business.htm https://www.elegantjbi.com/blog/case-study-augmented-analytics-oem-partnership-us-healthcare-erp-business.htm#comments Wed, 02 Feb 2022 15:17:04 +0000 https://www.elegantjbi.com/blog/?p=8101 Continued]]> Our Partner is a healthcare service provider in the United States providing a web-based, patient-centric, healthcare management solution and workflow solutions to increase operational efficiency and reduce costs for its hospitals and healthcare facility Clients. Since 1999, the Partner has provided services to the durable medical equipment and supply market with solutions that benefit many healthcare organizations and clinics in the U.S.

Smarten intuitive interface allows users to make the most out of available data and effectively manage order details, revenue, patient details, business operations, etc. The Smarten collaborative partnership approach builds trust and paves the way for project success, meeting analytical requirements, streamlining processes and allowing the Partner to achieve its objectives.

The Partner Healthcare Information system is now integrated with augmented analytics and embedded BI, allowing Client end users to access the healthcare system using a single sign-on and enjoy the features and functionality of the analytics solution including reporting and analytics. As a Smarten OEM partner, the Partner can provide easy-to-use analytics for use by all of its Client end users to leverage the existing Partner solution.

Embedded BI APIs provide a comprehensive set of reporting and analytics tools including Revenue Management, Patient Management, Billing and Inventory Management, etc., and delivering all data and information via interactive self-serve reports, including dashboards, KPIs, Graphical Analysis and more.

The combination of the Smarten OEM partnership and the Smarten Augmented Analytics and Embedded BI approach, provided a competitive advantage to the Partner and enabled the Partner to better leverage its data and to operate more efficiently, thereby increasing revenue and allowing the Partner to add and effectively support more end users.

download-casestudy

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Conflict in the Sales Meeting? No Problem! https://www.elegantjbi.com/blog/conflict-sales-meeting-problem.htm https://www.elegantjbi.com/blog/conflict-sales-meeting-problem.htm#comments Wed, 02 Feb 2022 06:55:42 +0000 https://www.elegantjbi.com/blog/?p=8085 Continued]]> Conflict in the Sales Meeting? No Problem!Whether you are a sales professional, or you have assisted with a sales call or been on the receiving end of a technology sales pitch, you recognize smart sales pros when you see them.

It used to be that a prospect or customer expected to hear all about the product or service, and all the reasons that particular company was the best company to hire. The pitch was always focused on all the positive aspects of the deal and it always made the assumption that the customer would just love to do business with the company.

Conflict in the Sales Meeting? No Problem!

But, one thing I have learned over the years is that the best sales professionals are pessimistic!

While it is their goal to sell the product or service, they go into the sales meeting with the assumption that there are those on the prospect team that want to scuttle the presentation, and they are prepared with plenty of ammunition.

Sometimes, a prospect has an unspoken agenda. They might favor another company, or they might have heard something about your product or service that caused them to form a negative opinion.

They may not think their business needs ANY product or ANY service you have to offer. They may feel that old processes, products, services or techniques are just fine and that change is unnecessary.

 

So, in addition to knowing your product, your service and the needs of your prospect, you must also be prepared to counter the naysayers in the group  – without being defensive, of course.
You must firmly, and positively present your case to get ahead of the skeptics and make your case before the question is even asked…before the argument is made.

 

Think of the sales meeting as making a preemptive strike! When it comes to sales, it is OK to be paranoid!

It is a good idea to anticipate the objections and bring them up before the prospect can take an offensive position and poke holes in your presentation.

Consider a statement like, “Some businesses might think that this product can’t possibly be that easy to customize”, or “Some customers believe our stated service levels can’t possibly be met”. These statements do not sound defensive but they do open the door for you to argue your case and present the facts before a prospect can go on the attack and scuttle your carefully planned presentation.

A great sales professional is always looking for the challenge or the healthy skeptic and isn’t afraid to fight the good fight.

If you are still hesitant to embrace this approach, consider the embattled coach in a press conference that follows a lost game, or the political spokesperson representing a leader. They go into each Q&A fully expecting to be challenged and pushed to the limit. But, if they become defensive, they lose their advantage. Craft your sales persona carefully and watch how the best of the best do their jobs. Then, go in there and get on the offensive to address the problem BEFORE it emerges. That is the way to make an impression and close a sale!

Original Post : Conflict in the Sales Meeting? No Problem!

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Smarten Support Portal Updates – January – 2022! https://www.elegantjbi.com/blog/smarten-support-portal-updates-january-2022.htm https://www.elegantjbi.com/blog/smarten-support-portal-updates-january-2022.htm#comments Tue, 01 Feb 2022 09:48:30 +0000 https://www.elegantjbi.com/blog/?p=8081 Continued]]> smarten-support-portal-updates-january-2022We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. Data warehousing: Concepts of Slowly Changing Dimensions

 

Forum Topics

  1. Smarten Application Security : What is HTTP Method Vulnerability and what are their solutions?
  2. Smarten Application Security : How do we prevent CSRF vulnerabilities in Smarten?

 

Predictive Usecases

  1. Handling Outliers Using Smarten Assisted Predictive Modelling

 

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

 

Original Post : Smarten Support Portal Updates – January – 2022!

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How Can I Get My Business Users to Adopt Augmented Analytics? https://www.elegantjbi.com/blog/business-users-adopt-augmented-analytics.htm https://www.elegantjbi.com/blog/business-users-adopt-augmented-analytics.htm#comments Fri, 28 Jan 2022 06:11:26 +0000 https://www.elegantjbi.com/blog/?p=8073 Continued]]> embedded-bi-and-analytics-ensures-user-adoptionDrive User Adoption with Embedded BI and Single Sign-On Convenience!

All of your business users have a favorite software application – an app they value because it helps them do their job more easily, or helps them get crucial information. These are the applications they have learned and they are used to leveraging them on a day-to-day basis to perform tasks. When you introduce augmented analytics into your business environment, one of the most critical factors is whether you can expect user adoption. Finding and implementing the right augmented analytics solution is just the first step. If you can’t get your users to USE the application, your return on investment (ROI) will be poor and your total cost of ownership (TCO) will be high.

The wise business manager knows that they have to help users see the value and explain how the new analytical solution will assist the user in everyday workflow and business processes. And, even if the application is as user-friendly as advertised, it won’t be adopted if the user finds it inconvenient to do so.

SO…you can choose the right advanced analytics solution, promote and champion it well and still fail at user adoption. Why? Because your users are creatures of habit. They are used to the software applications they like – those legacy or best of breed apps that help them do their jobs. But, what would happen if you embedded BI and analytics into the software app your users love so well, into ALL the software apps your users like and use?

With a single sign-on to the software application of choice, the business user can perform tasks, get their work done and use analytics to find data, using a familiar interface and system, and analyze data to make better decisions and to share and collaborate. Managers will see results in the form of improved productivity, user adoption and (most critically) fact-based decisions and recommendations that will drive objectives and goals.

Embedded Business Intelligence and Augmented Analytics gives your users the best of both worlds. They can take advantage of the new tools and features and they can use the same software applications they love, all in one place. Problem solved!

If you want to encourage your business users to employ data analytics and make analytics available within familiar enterprise applications, you can explore the advantages here: Embedded BI. Download our White Paper, ‘Making The Case For Embedded BI And Analytics.’

Original Post : Embedded BI and Analytics Ensures User Adoption!

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Handling Missing Values using Smarten Augmented Analytics! https://www.elegantjbi.com/blog/handling-missing-values-smarten-augmented-analytics.htm https://www.elegantjbi.com/blog/handling-missing-values-smarten-augmented-analytics.htm#comments Thu, 27 Jan 2022 06:50:53 +0000 https://www.elegantjbi.com/blog/?p=8052 Continued]]> handling-missing-values-using-smarten-augmented-analytics1.    Missing Data – Why does it matter so much?

Ever worked upon an analytical project and noticed the presence of blank or NAN or undefined values in the records representing the data and being in need of correctly dealing with them? This might be a routine situation while working with real world data. It becomes a crucial step to execute fair technique to handle these missing values after understanding the analysis required from the data as often data for one party can be a noise to another party. Data can be missing owing to corrupt data, incomplete data extraction process, data entry errors or simply the data is rare and is actually missing! But handling such data is of great challenge in order to make right decisions and generate robust predictive models or reports. This article sums up key steps to handle missing values using Smarten Augmented Analytics and further explains its utility from the Employee Salary Prediction dataset. 

 

2.    Just leave it or impute it!!

The best possible methods to handle missing data are:

2.1.   Remove records with missing values:

It is a most common practice to delete the records from the data which contains missing values. This technique creates a robust machine learning model. As such it’s elementary to remove records for which we do not have adequate information as it then doesn’t weigh much for our analysis. However, this leads to loss of data and if the amount of data missing is sky scraping, our analysis shall perform poorly. Considering the example of employee salary prediction for instance, it might be quite possible that employees belonging to say engineering team might not be disclosing their income and bonus percentage and employee team being the main determining factor for salary prediction. In such a storyline, it can be recommended to drop missing records rather than imputing it with non-realistic values. 

2.2.   Replace missing values:

The strategy to impute the values of variables not only reduces loss of data but also adds variance to the dataset leading to better results. This technique is admirable when the size of the data is small as in such a scenario, deletion of records will in fact compact the data leading us with lesser information for decision making.  

2.2.1.    Replace numeric variables with median

When it comes to replacing numeric variables with a constant value, median is a better choice as compared to mean, mode and other statistical measures as it also very well deals with skewed data and data containing outliers. When data is missing completely at random, it’s fair to say that the missing values are most likely very close to the median distribution and it is a fast strategy to complete the dataset. However, if there is a substantial amount of missing data, using this technique causes distortion in the data distribution as well as original variance.

2.2.2.   Replace categorical variables with mode

When the data is missing from the categorical column, it is a good practice to replace it with mode (i.e., the most frequent category). Say out of all the team categories of employees, the most frequently occurring one is Sales. In order to prevent data loss, we can replace the missing values in the team column with Sales and take the process further. However, in case of a higher number of categories with many categories exhibiting more or less the same frequency distribution, this technique might yield poor performance.

 

3.    Smarten Assisted Predictive Modelling: Take the Guesswork out of Planning!

Every organization must plan and forecast results. If the enterprise is to succeed, it must strive for accuracy and identify trends and patterns in the market and industry that will help it to predict future results, plan for growth and capitalize on opportunities. Smarten Insight provides predictive modeling capability and 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.

 

4.    Above all else, show the data

Let’s gaze through the employee salary prediction dataset.

Employee Salary Prediction Dataset

Employee Salary Prediction Dataset

 

It can be evident that we intend to predict the Salary of employees based upon their Gender, belonging to Senior Management or not, Team associated with as well as Bonus percentage being offered. This speaks of many missing values which need to be dealt with in the pre-processing stage itself. Also, it can be scrutinized that Bonus percentage is the only measure predictor and rest are dimensions. Let’s acquire the ability to operate such data using Smarten Augmented Analytics.

4.1.    Create a fresh New Smarten Insight

Creating a new Smarten Insight

Creating a new Smarten Insight

         

4.2.    Select the data of your interest and click  NEXT

Selecting the dataset to be handled for missing values

Selecting the dataset to be handled for missing values

 

4.3.    Perform Sampling and Filtering if required and click NEXT

Sampling and Filtering using Smarten

Sampling and Filtering using Smarten

 

4.4.    And here we go, perform data cleaning to handle missing data

Look upon the data and make choices accordingly to perform the strategy to handle missing values. For employee salary prediction, we can safely remove missing values in the Gender, Senior Management and Team fields as the classes are more or less equally distributed and imputing it with literal mode will not be of our favorable interest. Moreover, the numeric attributes like Salary and Bonus percentage contains quite a few missing values which can hence be eliminated.

Handling missing values using Smarten

Handling missing values using Smarten

 

We have to learn to interrogate our data collection process, not just our algorithms! With too little data, we won’t be able to make any conclusions that can be trusted. Making replacements in the data without understanding it, will again provide us with information approaching false decision making. Hence a healthy trade-off between these two as well as understanding the reasons why data are missing is important for handling the remaining data correctly!

Note: This article is based on Smarten Version 5.2. This may or may not be relevant to the Smarten version you may be using.

 

Original Post : Handling Missing Values using Smarten Augmented Analytics!

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Case Study – Augmented Analytics for Leading Rural Fintech Company in India https://www.elegantjbi.com/blog/case-study-augmented-analytics-leading-rural-fintech-company-india.htm https://www.elegantjbi.com/blog/case-study-augmented-analytics-leading-rural-fintech-company-india.htm#comments Mon, 24 Jan 2022 12:11:05 +0000 https://www.elegantjbi.com/blog/?p=8047 Continued]]> The Client is one of the largest Rural Fintech companies in India with more than 700,000 Rural Entrepreneurs and services to benefit 100 million consumers. The Client business is currently growing at 150% year over year with a transformative impact on digital, financial, and e-retail services across rural and semi-urban regions.

As a Fintech Company, it is extremely important for the Client to track, evaluate, and monitor project success through robust analytics, flexible views and access rights management. The Smarten solution allows users to interact with data to identify overall profitability at various levels in the organization. It also allows users to measure tactical and operational results at a summary level, and at a detail level, for an individual task or group workflow.

With the help of the Smarten solution and team, the Client has achieved its goal of creating a centralized analytics system at all levels of the organization. The Smarten intuitive interface allows users to make the most out of available data and to effectively manage their resources, revenue, procurement, business operations, manpower allocation etc. Smarten helps the Client to track organizational performance, and to reduce cost and increase profitability of each department without compromising on the quality standards.

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How Can I Encourage My Team to Adopt and Use BI Tools and Augmented Analytics? https://www.elegantjbi.com/blog/encourage-team-adopt-bi-tools-augmented-analytics.htm https://www.elegantjbi.com/blog/encourage-team-adopt-bi-tools-augmented-analytics.htm#comments Mon, 24 Jan 2022 07:39:44 +0000 https://www.elegantjbi.com/blog/?p=8041 Continued]]> how-can-i-encourage-my-team-to-adopt-and-use-bi-tools-and-augmented-analyticsWise business owners and managers are taking on the challenge of implementing data democracy, digital transformation (Dx), and Citizen Data Scientist initiatives. The reason is simple! These businesses understand the benefits and the advantages of providing augmented analytics access to business users, thereby improving fact-based, timely decisions and improving the planning and forecasting process. These initiatives also optimize resources and allow the business to do more with less – which is something every business needs!

If your business wants to commit to self-serve BI and augmented analytics, it is important to recognize the challenge of user adoption. You can provide the best solution on the market but, if you do not deploy these initiatives in the right way; if you do not make the right choice for solutions and the right approach to improving data literacy, your investment will be for naught. A Gartner Analytics and BI Magic Quadrant customer reference survey found that the average user adoption rate for modern analytics and BI Adoption was estimated at 35%. Among the reasons for poor user adoption were the absence of self-serve BI capabilities, dependence on IT team, inflexibility of data silos, and lack of access to intuitive BI tools for deep dive, predictive and descriptive features.

In this article, we discuss several considerations and important factors that can and will improve user adoption of augmented analytics:

Technology And Features

Embedded BI and Integration APIs

If your business wants to leverage analytics and ensure user adoption rate, lower TCO and improve ROI, it is wise to include Embedded BI and Augmented Analytics in your requirements. Integration APIs provide intuitive, self-serve BI tools from within enterprise applications and public websites, so you can put the power of facts, data and business insight in the hands of business users. With access to self-serve analytics from within familiar enterprise apps, BI adoption and use increases exponentially, so you can leverage all the benefits and advantages of augmented analytics.

Natural Language Processing (NLP)

Solutions that incorporate Natural Language Processing (NLP) allow business users to leverage an analytical tool in an augmented analytics environment where questions can be entered using natural language, BUT NLP without context-capability can still miss the mark. Remember that very team member is also a consumer outside of work. In that capacity, they have learned how to search for something on Google and get the results they need. The tools are designed for human interaction. You ask a question and get an answer. Providing NLP in augmented analytics tools allows team members to use familiar concepts and features to find and analyze data, thereby improving user adoption.

Business Processes And Culture

Committing to Culture Change

The enterprise must be prepared to support user adoption and empowerment. Just teaching the basics of data analytics and the use of tools is not good enough and no matter how simple the solution is to use, your team members will need encouragement to change processes and to commit to the change. Focus on users and managers and build an understanding of the context of data within a particular team or department. Mentor and support users as they make the transition from being data dependent to becoming more autonomous and data literate. To make the transition to self-serve augmented analytics, the business should find and nominate champions within each area of the business and look for opportunities to suggest and support projects that entail data analysis and presentation with the goal of creating actionable outcomes that will encourage the team and individuals to embrace data analytics and use it as part of the process on a daily basis.

Metrics and Evaluation

Tie metrics and data analytics to goals and objectives to encourage analytical deliverables and insight. Courage the collaboration of IT, Citizen Data Scientists and analysts or data scientists to further solidify the organization. Review evaluation criteria and include team assessments based on the consistent use of data to make recommendations and decisions. Managers should routinely ask if team members have used augmented analytics to test theories and hypotheses to improve the validation of business decisions and to get the best outcomes.

These are just a few of the critical considerations and factors your business should include in its solution selection and implementation planning process in order to ensure successful implementation of analytics and to support data democratization and/or a Citizen Data Scientist initiatives. With the right planning and approach, there is no reason to be discouraged by the reported history of poor user adoption. With Embedded BI, Integration APIs, Natural Language Processing and culture, process and metrics transformation, your business can succeed in its implementation of augmented analytics and meet its goals for ROI, TCO and user adoption.

For more information about how Augmented Analytics can support your initiatives, explore our white paper: Integrate Augmented Analytics And Digital Transformation To Achieve Continuous Business Improvement, and the features of Embedded BI And Integration APIs,  Clickless Analytics And Natural Language Processing (NLP).

Original Post : How Can I Encourage My Team to Adopt and Use BI Tools and Augmented Analytics?

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Transform Business Users Into Citizen Data Scientists! https://www.elegantjbi.com/blog/transform-business-users-citizen-data-scientists.htm https://www.elegantjbi.com/blog/transform-business-users-citizen-data-scientists.htm#comments Thu, 20 Jan 2022 10:12:09 +0000 https://www.elegantjbi.com/blog/?p=8033 Continued]]> citizen-data-scientists-help-you-leverage-limited-resourcesRecognize and Address Recent Market Changes with Citizen Data Scientists!

While many of you may follow the research and market analytics provided by Gartner, you may sometimes find yourselves wondering if their predictions and market analysis are correct. When it comes to the predicted transformation of business users into Citizen Data Scientists, that particular transition has been happening for a while now. If anything, the global pandemic has simply made the prediction more pressing than ever.

 

 

 

New issues driven by the pandemic include:

  • Rapid market changes, evolving from the economic impact of the pandemic
  • A shortage of qualified workers, causing competition among businesses for professional workers
  • The ongoing need to work remotely and to allow available workers to work in a more flexible environment

These compounding factors highlight the greater need for businesses to support a Citizen Data Scientist environment, one where business users can optimize their value to the organization with fact-based decisions; one where the organization can provide mobile tools for business users, including easy-to-use analytics that allow every team member to leverage sophisticated tools without the experience of a data scientist.

If we consider recent Gartner strategic planning assumptions, we can see that these assumptions are made even more relevant by the pressures of a pandemic-stressed market.

  • By 2023, 30% of organizations will harness the collective intelligence of their analytics communities, outperforming competitors that rely solely on centralized analytics or self-service.
  • By 2023, 60% of organizations will compose components from three or more analytics solutions to build business applications infused with analytics that connect insights to actions.
  • By 2023, overall analytics adoption will increase from 35% to 50%, driven by vertical and domain specific augmented analytics solutions.

Whether your management team had already planned for a digital transformation, improved data literacy and data democratization, or your senior team is just now considering it, there is no time like the present. Being able to leverage your precious resources and knowledge and add perspective and insight, will position you well in the market to be competitive and to make more timely, effective decisions.

Making a swift change can help you gain an advantage. Online Citizen Data Scientist training can provide a foundation by helping candidates to understand the role, to gain insight into how augmented analytics solutions can be used in their own business use cases and how analytical techniques can be leveraged to support decisions, approvals, recommendations and workflow. If your organization wants to position itself for growth and stability now and in the future, it is time to explore the possibilities of the Citizen Data Scientist approach and Online Training Options.

Original Post : Citizen Data Scientists Help You Leverage Limited Resources!

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Assisted Predictive Modeling is Your Secret Weapon! https://www.elegantjbi.com/blog/assisted-predictive-modeling-secret-weapon.htm https://www.elegantjbi.com/blog/assisted-predictive-modeling-secret-weapon.htm#comments Tue, 18 Jan 2022 12:46:53 +0000 https://www.elegantjbi.com/blog/?p=8030 Continued]]> can-i-really-expect-my-business-users-to-adopt-predictive-analyticsPredictive Analytics That is Easy Enough for Any Business User!

Predictive analytics may seem too complex for business users but with advanced technology like machine learning and features like assisted predictive modeling users can dive into the process without the skills of an IT professional or a data scientist. Assisted predictive modeling frees the user by providing system recommendations that will suggest the right analytical technique and achieve the best fit for what the user wants to do, ensuring 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.

These augmented analytics 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 you are considering an augmented analytics solution, your requirements should include assisted predictive modeling. The benefits of this approach include:

  • No complex algorithms or data manipulation
  • System generated auto-recommendations for algorithms to explore underlying data
  • No advanced data scientist or IT skills required
  • Users can analyze, share and optimize business potential and productivity
  • Users can prototype and hypothesize without professional assistance

If your business wants to gain insight and perspective and achieve a competitive advantage, using simple, Assisted Predictive Modeling and Augmented Analytics tools, Contact Us today to get started.

Original Post : Can I Really Expect My Business Users to Adopt Predictive Analytics?

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4 BI Reporting Insights Achieved with Tally Analytics! https://www.elegantjbi.com/blog/4-bi-reporting-insights-achieved-tally-analytics.htm https://www.elegantjbi.com/blog/4-bi-reporting-insights-achieved-tally-analytics.htm#comments Sun, 16 Jan 2022 19:04:29 +0000 https://www.elegantjbi.com/blog/?p=8021 Continued]]> 4-bi-reporting-insights-achieved-with-tally-analyticsMany accounting and finance professionals use Tally ERP for data entry and reporting. If a business adds analytics to the Tally ERP environment, it can provide user-friendly augmented analytics that will optimize resources, increase productivity and add value to the business and the user by offering insight into the mountain of data contained within the Tally solution modules.

This article discusses four (4) examples of insight gleaned from adding built-in reporting and augmented analytics to the business accounting and finance software solution.

Banking and Cash Management

This report allows users to search for and understand trends and patterns in banking and cashflow. Business users can search for a particular time period and compare that time period to comparable historical periods. Identifying trends and patterns in cashflow and banking can provide valuable information and alert the business to issues that may affect the ability to apply for funding, the capacity of the business to make investments, fund new projects, etc.

 

Banking and Cash Management

Sales and Purchasing

Business users can explore sales to date, and examine monthly, quarterly and yearly trends and key performance indicators (KPIs). The business can analyze sales, identify top customers and detail sales registers. These trends can help sales managers identify top sales staff and techniques, where to market and which customers to target. Purchasing managers can identify trends and anticipate the need for supplies to satisfy demand.

 

Sales and Purchasing

Payables and Receivables

Accountants routinely use payables and receivables to highlight business issues. With built-in reports to analyze payables and receivables, accountants can take analysis to the next level, break down payables and receivables by creditors and debtors, by product, by service and/or components and look for trends for overdue collections, invoicing issues, potential customer or client defaults based on previous payment history, etc.

 

Payables and Receivables

 
Inventory Management

Inventory management is crucial to business success. Carrying and warehousing an overage of inventory costs money. Running short on inventory of supplies or products costs the business in prospective sales. Built-in reports for Inventory Management allow business users to analyze inventory to identity current shortages or overages and to use trends to anticipate where future issues may arise. Users can explore overstock and understock to look for wholesale opportunities or identity targets for product discounts to move inventory, and they can explore issues and opportunities for products, shipping and distribution.

 

Inventory Management

In this article, we explored four of the many benefits and features the business will enjoy by adding integrated augmented analytics and built-in reporting for business and professional use.

These are just a few of the reasons for integrating augmented analytics with Tally ERP. If you want to get more value out of your Tally ERP solution and optimize your resources and professional efforts, Contact Us for more information on SmartenApps For Tally.  For more information about integrating Augmented Analytics with Tally ERP, visit our Blog.

Original Post : 4 BI Reporting Insights Achieved with Tally Analytics!

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Help Your Clients AND Yourself with Analytics for Tally ERP! https://www.elegantjbi.com/blog/clients-analytics-tally-erp.htm https://www.elegantjbi.com/blog/clients-analytics-tally-erp.htm#comments Tue, 11 Jan 2022 06:49:28 +0000 https://www.elegantjbi.com/blog/?p=8013 Continued]]> analytics-can-take-tally-erp-to-the-next-levelIf You Work with Numbers, You Need Analytics!

When you tell someone you work in a finance-related position, their eyes might glaze over. They picture you ‘counting beans’. Whether you work in inventory management, purchasing, accounting, enterprise finance or any other related position, your job can seem mysterious (and even boring) to many people. But, yours is the lifeblood of the organization.

If the business does not understand its expenses, where and how it generates revenue, who its most important customers are, where it can save money on suppliers and supply chain, how to manage inventory, how to avoid expensive tax issues and messy statutory and regulatory reporting mistakes – well, all of those things relate to money, don’t they? And money is what makes the organization run (or fail).

As a numbers and money manager, you will doubtless use a software solution like Tally ERP. These solutions manage finance-related, accounting and other functions by enabling data entry and reporting. But, what if you could go beyond this simple day-to-day workflow, take all that data contained in the system and analyze it to spot trends, issues and opportunities and to truly understand what is going on, what if you could report across modules and do so in a way that produces insightful information rather than columns of data you have to explain to your clients and colleagues?

What true nuggets of information are hidden in that data, beneath the surface, or on the other side of the organization? What if you could add value to your organization, and to your own role in the enterprise by providing advice and counsel instead of numbers?

Analytics Can Take Tally ERP to the Next Level

With the right integrated analytical tools, you CAN do all of that and more with key performance indicators (KPIs), ledger, shipping and distribution, cost center, and banking support and more. If you are a Tally user, you can leverage powerful analytical tools to add value to your organization and take a proactive role in results. AND, your business can evaluate the solution for free. Find out more about SmartenApps For Tally analytics. Contact Us to today to find out how SmartenApps for Tally can help you achieve your goals.

Original Post : Analytics Can Take Tally ERP to the Next Level!

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Case Study – Audit & Compliance Analytics for a Leading Private Bank in India https://www.elegantjbi.com/blog/case-study-audit-compliance-analytics-leading-private-bank-india.htm https://www.elegantjbi.com/blog/case-study-audit-compliance-analytics-leading-private-bank-india.htm#comments Fri, 07 Jan 2022 12:04:30 +0000 https://www.elegantjbi.com/blog/?p=8002 Continued]]> The Partner is based in India and offers an Audit, Compliance and Risk Management solution for banks, insurance companies and financial institutions. The comprehensive solution helps organizations to improve efficiency and effectiveness of audit department operations by standardizing organizational audit procedures to manage internal risks and compliance.

The Client is the leading private sector bank in India, and the largest private sector bank in India by assets and by market capitalisation. The Client offers Online Net Banking Services and Personal Banking Services like Accounts and Deposits, Cards, Loans, etc. and its wide range of financial products in hundreds of Indian cities.

The Smarten analytics solution allows users to analyze important data and to identify and monitor the audit compliance section, and to measure tactical and operational results at a summary and detailed level to derive alerts and status.

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Democratize BI Tools: Information is Power! https://www.elegantjbi.com/blog/democratize-bi-tools-information-power.htm https://www.elegantjbi.com/blog/democratize-bi-tools-information-power.htm#comments Fri, 07 Jan 2022 09:41:01 +0000 https://www.elegantjbi.com/blog/?p=8007 Continued]]> democratized-bi-tools-support-for-successWhy Democratize Business Intelligence? Lots of Reasons!

Perhaps you have resisted the temptation to democratize data in your organization. Your resistance may come from in-house, in the form of those who tell you that data governance is impossible in an environment where you spread your data far and wide. Perhaps you believe that the average business user cannot and will not use business intelligence tools, so any expense or time to implement such a solution would be wasteful. Perhaps you feel that the value of such a solution and of user adoption of these tools is overrated, and that ROI and TCO would not be worth the time and effort.

No matter the reason for your resistance, I can tell you that the value of a self-serve business intelligence solution is, if anything, underrated!  Well-chosen BI tools can democratize data, provide the tools your users need to make fact-based decisions and ensure that work product is timely, that recommendations are based on clear, concise data rather than guesswork and opinion, and that business users who adopt and use these tools can better leverage their own professional knowledge and skill and combine that skill with data to gain insight, collaborate and share data and perform their individual roles more effectively.

Here are just a few reasons to consider democratizing data and the use of business intelligence tools:

  • Improve Productivity and Collaboration
  • Gain Clarity and Improve Accuracy of Decisions and Work Product
  • Improve Data Literacy
  • Optimize Data Scientist and Business Analyst Resources
  • Increase Insight and Problem Solving
  • Capitalize on Opportunities

As they say, information is power, and business users and even analysts can miss critical trends, struggle to solve problems and lose crucial time and energy trying to sift through data and information spread across the enterprise. By bringing this data together in a self-serve environment, business users can test theories and identify patterns, trends and anomalies, without waiting for IT or data scientists to deliver reports.

If your business wants a Business Intelligence Solution that provides out-of-the-box functionality based on your industry or business function, and application integration capability, you can start here: Self-Serve Business Intelligence In Action.

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Data Democratization Think of it as Home Renovation! https://www.elegantjbi.com/blog/data-democratization-home-renovation.htm https://www.elegantjbi.com/blog/data-democratization-home-renovation.htm#comments Wed, 05 Jan 2022 08:49:31 +0000 https://www.elegantjbi.com/blog/?p=7989 Continued]]> data-democratization-think-of-it-as-home-renovationThe focus of this article is on Data Democratization within the business enterprise, but the concepts and approaches involved in implementing this type of initiative are worth considering for any kind of major change within an organization.

When thinking about business environments, how they are established and how they evolve, it is often helpful to use an analogy to which everyone can relate. In this case, we are changing the business environment to establish a more democratized approach to data and we might think of the existing business environment as the four walls of a house.

‘When an enterprise-wide change is contemplated, the business must acknowledge the very real existence of a culture within the organization and it must address that culture and understand how it works. That is the only way this type of enterprise-wide change will succeed.’

Whether you built your home (or business) yourself, or you are living in that house and dealing with the structural decisions made by others, you have established a way of working and living that incorporates the strengths and the shortcomings of the structure. If you don’t have enough closet space, perhaps you purchased a wardrobe to accommodate your clothing. If you don’t have a large space in which to entertain, you may have your parties in the back yard or even rent a space to get together with family and friends. If you have a lot of stairs in your home, the chances are good that you gather your laundry into a basket over a period of days before you take it down to the laundry room – just to save yourself some steps. Over time, the flow of your life and the processes you use to accomplish tasks will morph to accommodate the reality of the house structure.

And, so it is with workflow and business processes. Over time, a business establishes teams, processes and workflow to accomplish tasks and the people within each department and division further alter these workflows and processes to create shortcuts or to get the work done in a way that makes more sense to them.

When an enterprise-wide change is contemplated, the business must acknowledge the very real existence of a culture within the organization and it must address that culture and understand how it works. That is the only way this type of enterprise-wide change will succeed.

You wouldn’t begin a house renovation without drawing up plans, would you? Of course not. Consider the evolution of structural design over the past few decades. Today, architects and designers consider function (how the space will be used) and then design the form or structure, and decide how the space will flow and where closets, cabinets, stairwells and other features will be placed to make the structure as effective as possible.
Think of your business environment in the same way and remember that whatever new process or workflow you put in place will be altered by team members if it doesn’t work for them. So, include those team members in the planning phase.

The following factors should be included in your Data Democratization initiative. Integrating these issues and roles into the planning process will ensure that you can build an organization that will improve data literacy across the enterprise and support the transformation of business users into Citizen Data Scientists – team members that are comfortable using data to make decisions, present findings and make recommendations and share and collaborate using data.

 

Data Democratization Think of it as Home Renovation

 

Build a Comprehensive Set of Requirements

Think of this as sitting down with the family to discuss what changes should be made to your existing home or to make a list of those things you want so you can search for a new home. What is working, what is not working. Without a comprehensive understanding of how and when you currently use data AND where there are gaps or restrictions that prevent business users from accessing and analyzing data, you are not likely to accomplish your goals for data democratization. To democratize data within the enterprise, one needs access, easy-to-use tools and a basic understanding of how and when data should and will be used to make decisions and where and when it must be shared across roles and departments.

What are your business metrics? Do these need to change? Are you measuring the right things? If you provide access to analytical tools for business users, what metrics will they use to know if they are meeting their goals and achieving the business vision?

Ask how broad access to data can improve business results. How can it make your team more productive?

Your requirements must, by the very nature of the project, include a review of your data systems and repositories. To integrate data and make it easily accessible you will need to build a strategy with your IT team, data scientists or analysts and/or a consultant. But, you will also need to understand what type of training or access your individual team members and teams will need, and at what level the access should be provided, so that you can design appropriate security and data governance policies.

Build a Data Access and Collaborative Strategy

Once you have that list of features and functional concerns from your ‘family’, you can begin to design the home renovation or, in this case, the data democratization plan.

Your project team should engage business users, present the data democratization rationale and work with the team members to examine existing workflows and gaps. Be honest about what is working and what is not working. This is no time for your team members to hold back. What kinds of issues do they struggle to solve? Where are they missing data that would help them make better decisions? What technical or analytical skills do they have and what do they need to be confident in their use of new tools or processes?

Build business use cases that will help you sketch out the actual flow and outcomes to achieve your goals and reveal where there may be gaps or roadblocks.

Your plan must also include ongoing reviews and continuous improvement so that when the initiative is rolled out, you have a way of measuring, monitoring and adapting to ensure that these changes take hold within the enterprise and that every manager, team member, IT professional, and analyst understands their role, collaborates and uses data to make decisions.

Use the detailed requirements, use cases and business process and workflow assessments to begin a search for your ‘architect’ or technical consultant. You will be looking for services and tools that will fit your requirements and training and assistance to get you to your goals.

Implement and Monitor

As with any change, the change must be embraced at every level or it will not work. Once the data democratization initiative is in place, the management team must support the use of these new tools and business processes and encourage their use by adapting team evaluations, creating expectations of data use in staff meetings and reporting and asking thoughtful questions during interaction to ensure that team members are bringing in others and collaborating appropriately to get the right outcomes. If the team does not believe you are invested in the changes, they will not adopt new tools or they will find workarounds that more closely align with what is familiar to them.

Find and leverage champions within each business unit and department. These people can become mentors to those who may be less comfortable with technology or with the new analytics tools and techniques. Create systems of reward and compensation, and change job descriptions and written goals and objectives to ensure that all systems support the new initiative.

Schedule periodic meetings to discuss what is working and where there may be a need for changes. During these sessions, you may also wish to solicit creative ideas for how to continue the evolution. As team members get comfortable with the tools, the techniques and the changes, they will often come up with great ideas to continue the growth of the concept within the enterprise.

Establish and Maintain a Data-Driven Culture

Change is hard and it must be monitored and supported at every step if it is to succeed. Habits are hard to break and people sometimes feel threatened if they perceive that their role might be in jeopardy. Establish a culture that clearly states and supports the idea of data-driven decisions, reporting, collaboration, sharing and team results and metrics. When you receive a report, ask questions about the data and where it originated, how it was gathered, etc.

Ask what techniques were used. The first time you ask, you may get a blank stare but the second time you ask, the team member will know what is expected and will have done their homework. Use team meetings and presentations to provide your own metrics and analytics on things so you can role model these changes and tell your team members that if they need help preparing a report or analyzing an issue, there are resources that are ready to help. Depending on the size of the team and the resource demands, analysts, data scientists and IT may be assigned these mentoring tasks, or you may use champions and power users within each department. The latter is the preferred method as these people are typically more familiar to the team and it is likely they will feel more comfortable seeking them out and will take the time to talk to them because they know them well.

A simpler way to think about creating this data-driven approach and implementing in on a daily basis is to think of your products and services as being comprised of materials, pieces, steps in a process AND data. Every product or service should be built on the foundation of data – research about changing customer needs and buying behaviors, analysis of risk, mitigation of downtime, resource requirements, investment needs, etc.

Much has been written about the benefits and future of data democratization in business but, to get there, an enterprise must understand its need for data, who is and will be using that data, how teams work today and how they will work in the future, and how to change the culture and sustain the use of these tools and this philosophy within the enterprise. If a business does not do the hard work of preparing for and planning its strategy for this change, it is not likely to succeed.

Like a home renovation, data democratization does not miraculously happen on its own, simply because someone decides it is a good idea. There is a lot of demolition, hammering and hard work. But, when the dust settles, you’ll be glad you put in the effort!

Original Post : Data Democratization Think of it as Home Renovation!

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Why Would I Want to be a Citizen Data Scientist? https://www.elegantjbi.com/blog/why-want-to-be-citizen-data-scientist.htm https://www.elegantjbi.com/blog/why-want-to-be-citizen-data-scientist.htm#comments Wed, 05 Jan 2022 07:48:56 +0000 https://www.elegantjbi.com/blog/?p=7984 Continued]]> i-m-a-citizen-data-scientist-but-do-i-want-to-beWhat Does Becoming a Citizen Data Scientist Get Me?

When your enterprise turns to you to inhabit the Citizen Data Scientist role, it may (or may not) provide information on what that role is, why it is important for business users to transform into the role and exactly how the transformation will work. Online training programs, like the one mentioned in the closing lines of this article, provide information on the role, its purpose, how to collaborate with data scientists and IT, how augmented analytics solutions work and the types of analytical techniques you will be using.

This article is not meant to cover those topics but, rather, to provide a bit of information on why you might want to explore and embrace this role, what it can do for your career and your visibility and other factors to consider. So when someone says, ‘I hereby pronounce you a Citizen Data Scientist’, you are more likely to look at the pronouncement as a positive thing!

Adding to Your Resume – Using a self-serve augmented analytics solution may not come naturally to you, but with the right solution the tasks you will perform will become second nature in no time. In the meantime, you can explore, create, test theories and dive into the system to truly understand how it will support you in your role, and how you can take your knowledge and use it to ask the right questions and analyze data to make fact-based decisions. Adding ‘analytics’ and knowledge of analytical techniques to your resume is not a bad thing. Whether you are angling for a promotion or looking for a position in another company, these are skills you can use. Every business today needs to optimize productivity and resources, and a knowledge and use of analytics will job the job done faster and with better results!

Gaining Visibility – Rather than pushing for things to stay the way they are, embrace the change. Learn the solution and learn how to use augmented analytics and your role as Citizen Data Scientist to gain visibility. Be the one in the room who produces reports and information based on facts. Make observations, recommendations and plans based on the data contained within the enterprise, and use that information to your benefit. Make suggestions to your manager or team leader and show them the data to back it up. They will remember your contribution!

Having a Voice for Future Changes – If you are actively involved in using analytics and analytical solutions, you are likely to be on the team that is asked for suggestions for upgrades, future technology support and ways in which the organization can engage with and use this data and augmented analytics solutions and techniques to improve results. Where and how will the new solution be rolled out to have the greatest impact? Instead of waiting for someone to make an arbitrary decision, a business user acting as a Citizen Data Scientist has the experience and skill to provide advice and contribute to the plan.

Being a Champion – Flex your mentoring muscles and show that you are a leader. If you are actively using augmented analytics, natural language processing (NLP) tools, search analytics, smart data visualization, predictive analytics and self-serve data preparation to do your job you are well-positioned to become a champion, to explain the benefits to other, more skeptical users, and to lend a helping hand when someone has a question. Being a champion positions you to show your leadership skills!

These are just a few of the ways the Citizen Data Scientist role can benefit you. For more information on Citizen Data Scientist initiatives and how to successfully implement this type of initiative in your business, explore these Citizen Data Scientist Blog Publications.

If you are a prospective Citizen Data Scientist, you don’t have to do this alone! Contact Us to today or Click Here to explore training for Citizen Data Scientists, designed to help you succeed on your Citizen Data Scientist journey.

Original Post : I’m a Citizen Data Scientist! But Do I Want to Be?

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Smarten Support Portal Updates – December – 2021! https://www.elegantjbi.com/blog/smarten-support-portal-updates-december-2021.htm https://www.elegantjbi.com/blog/smarten-support-portal-updates-december-2021.htm#comments Wed, 29 Dec 2021 08:19:30 +0000 https://www.elegantjbi.com/blog/?p=7958 Continued]]> smarten-support-portal-updates-december-2021We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. LDAP/AD : AD Integration in Smarten
  2. Geomaps: Workflow to create Default geomap

Forum Topics

  1. Email Settings : Can I use two factor SMTP account for outgoing emails from Smarten server?
  2. LDAP/AD : How to configure AD in Smarten

Predictive Usecases

  1. Handling Missing Values using Smarten Augmented Analytics

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

Original Post : Smarten Support Portal Updates – December – 2021!

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Case Study – Smarten Augmented Analytics Implementation for SI Partner and its India Public Sector Credit Guarantee Client https://www.elegantjbi.com/blog/case-study-smarten-augmented-analytics-implementation-si-partner-india-public-sector-credit-guarantee-client.htm https://www.elegantjbi.com/blog/case-study-smarten-augmented-analytics-implementation-si-partner-india-public-sector-credit-guarantee-client.htm#comments Tue, 28 Dec 2021 18:07:12 +0000 https://www.elegantjbi.com/blog/?p=7963 Continued]]> This project was undertaken for a Smarten System Integrator Partner. The Smarten Partner is a leading system integrator for public and private sector organizations in India. This System Integrator (SI) has a wide network of consultants and technology experts through which they achieve and support a presence around the world, including the U.K., U.S. and India.

The SI Partner has a Client that is a wholly owned agency of the Government of India, and was created under the Ministries of Finance, to act as a common trustee company for multiple credit guarantee funds. The Partner’s Client required IT consulting for augmented analytics services and solutions, and the SI Partner requested assistance in delivering services to its Client.

The services and solution provided by the Smarten team ensured rapid access to information for the SI Partner team so that the SI Partner team was able to provide the necessary MIS service to governing authorities and effectively serve its internal MIS needs without downtime or a gap in services. The resulting analytical integration provided crucial, timely and clear data for fact-based decisions and supports flexible growth and scalability.

Smarten supported the SI Partner team throughout the project lifecycle as it served its Client and end users and the Client MIS needs and ensured that the team could leverage technology to help its governing authorities with required analytics. The solution provides adaptive and flexible augmented analytics to allow the Client to easily change processes and adapt to business and market changes. The Smarten solution is web-based, and provides a self-serve system that is affordable, dependable and scalable. The solution provides a comprehensive fit for this public sector Client and allows users to optimize data sources and centralize access to information at a reduced cost and time so users can easily and quickly deliver and use analytics for monitoring disbursement of loans and enable meaningful insight and decision support related to various schemes, loans and transactions.

download-casestudy

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Embedded BI Improves User Adoption of Enterprise Apps! https://www.elegantjbi.com/blog/embedded-bi-improves-user-adoption-enterprise-apps.htm https://www.elegantjbi.com/blog/embedded-bi-improves-user-adoption-enterprise-apps.htm#comments Tue, 28 Dec 2021 08:41:18 +0000 https://www.elegantjbi.com/blog/?p=7955 Continued]]> embedded-bi-improves-tco-and-roi-of-enterprise-appsHow Embedded BI Can Add Value and Improve ROI for Enterprise Apps!

No matter your reason for investing in that business application, the investment was meant to improve the business, to make team members more productive, to act as a repository for important business data and to somehow improve the bottom line. But, the effectiveness and success of a software solution depends on more than its features and functionality. Yes, one must consider its ease of use too, but that’s not the point of our discussion today.

The real deciding factor for business application success is user adoption. Once the data is migrated or input, once the users are trained, the solution must be used as intended to complete tasks, to find information and to share with other users. If users do not adopt a software solution, it is typically because they don’t find it useful or because it is too difficult or cumbersome to use.

When we get past the training issues, we still have the issue of usefulness. A business user might know that her/his manager wants them to leverage the tool, and might do so begrudgingly, but perhaps not to the fullest benefit provided by the software.

BUT, if the user perceives that she or he can find what they are looking for and draw conclusions, get answers and make decisions that will advance their goals and help them complete tasks more quickly, more effectively and with confidence, they are much more likely to use and promote the software among their peers.

So, what can a business do to enhance the value of a software solution so that its team  members perceive the benefits? One thing in particular stands out, namely that they can add embedded BI tools to an enterprise app – tools that allow users to easily and quickly find concise information and use that information to make decisions, tools that provide a format and illustration that gives the team member information in a way that is meaningful to them. Embedded BI allows users to do more than view data in a system or look up some obscure data point. Team members can take the data in the system to another level and gain insight and clarity.

Furthermore, if the user can leverage familiar enterprise apps to gain access to embedded BI tools and augmented analytics, the user does not have to learn how to use yet another solution. They can use a single sign-on environment to login to the enterprise app and, from there, can analyze data contained within that application to achieve their goals, to collaborate with other users, to produce reports and to work more productively.

If you want to encourage your business users to employ data analytics and make analytics available within familiar enterprise applications, you can explore the advantages here: Embedded BI. Download our White Paper, ‘Making The Case For Embedded BI And Analytics.’

Original Post : Embedded BI Improves TCO and ROI of Enterprise Apps!

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Do I Really Want to be a Citizen Data Scientist? https://www.elegantjbi.com/blog/citizen-data-scientist.htm https://www.elegantjbi.com/blog/citizen-data-scientist.htm#comments Sun, 19 Dec 2021 19:14:39 +0000 https://www.elegantjbi.com/blog/?p=7951 Continued]]> what-the-heck-is-a-citizen-data-scientistSomeone Said I’m Now a Citizen Data Scientist!  Now What?

What do you have to know to be a Citizen Data Scientist? Who is the ideal candidate to be a Citizen Data Scientist? How does the whole Citizen Data Scientist thing work, anyway?

Let’s iron out the details!

First, let’s define the ideal candidate for the Citizen Data Scientist role. A Citizen Data Scientist is NOT a data scientist. The Citizen Data Scientist role is adopted by a business user or team member, and that team member does not need statistical or analytical skills or advanced technical skills. The ideal candidate is a respected member of the business community and may be a power user who likes learning new things. He or she probably likes using Excel and loves to solve problems. Citizen Data Scientist candidates understand the business and want to use analytics to gain more insight. They are curious and they like to collaborate. Which is good, because they will be collaborating with other users and will act as a liaison between data scientists, analysts and IT to champion the use of data and fact-based decision-making in the user ranks.

Next, let’s talk about what the Citizen Data Scientist will do. A business user in a Citizen Data Scientist role will use data integrated from numerous sources to access and analyze data in an augmented analytics solution. These solutions are sophisticated, yet easy enough for the average user to adopt, and they allow users to generate models and analysis and to use metrics and facts to make decisions, make recommendations and share data with other users.

But, the Citizen Data Scientist doesn’t have to do it alone. If and when there is a need for strategic refinement of data models, the Citizen Data Scientist can hand off models to data scientists or to IT to refine data for strategic use and to advance goals and objectives.

Lastly, we should spent a moment talking about benefits. If you are a candidate for the Citizen Data Scientist role, what’s in it for you? The use of augmented analytics, smart data visualization, assisted predictive modeling, self-serve data prep, and simple natural language processing (NLP) search analytics allows you to quickly ask questions and get answers in a way that makes sense to you and to your role. You can support day-to-day decisions, gain insight and perspective, hypothesize and prototype to test theories, improve business agility and producer models that are useful for monitoring and managing tasks and team objectives and projects and for ongoing analytics and measurements.

For more information on Citizen Data Scientist initiatives and how to successfully implement this type of initiative in your business, explore these Citizen Data Scientist Blog Publications.

If you are a prospective Citizen Data Scientist, you don’t have to do this alone! Contact Us to today or Click Here to explore training for Citizen Data Scientists, designed to help you succeed on your Citizen Data Scientist journey.

Original Post : What the Heck is a Citizen Data Scientist?

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What’s So Great About Augmented Analytics? https://www.elegantjbi.com/blog/whats-great-augmented-analytics.htm https://www.elegantjbi.com/blog/whats-great-augmented-analytics.htm#comments Thu, 16 Dec 2021 09:39:14 +0000 https://www.elegantjbi.com/blog/?p=7943 Continued]]> augmented-analytics-benefits-many-and-impressiveWhy I Won’t Stop Talking About Augmented Analytics!

What Are the Benefits of Augmented Analytics? Where Do I Start?

Those who know me are probably tired of hearing me talk about the benefits of Augmented Analytics. To them, I say, ‘I am sorry’. I am about to talk about it yet again. The reason is simple. Most businesses are either considering the addition of augmented analytics to democratize data, improve data literacy and create Citizen Data Scientists OR they are still unconvinced and feel that they are just fine. Either way, your business professionals and managers can use a primer on the benefits of augmented analytics, whether it is used to support their decision or to convince the team that augmented analytics should be pursued!

Let’s start here:

The world-renowned technology analyst firm, Gartner has rightly predicted that the number of Citizen Data Scientists will grow five times faster than the number of expert data scientists and that the automation of data science tasks will enable Citizen Data Scientists to produce a higher volume of advanced analysis than specialized Data Scientists. Gartner also predicts that, by 2025 a scarcity of Data Scientists will no longer hinder the adoption of data science and machine learning in organizations.

Here is an overview of just SOME of the benefits and advantages inherent in the implementation of Augmented Analytics:

  • Augmented Analytics benefits everyone in the organization – business users, data scientists, IT staff and the executive team. By providing secured access to data integrated from diverse data repositories, the business allows users to gather and analyze data, to spot trends, to identify issues and to pinpoint opportunities that will benefit the organization. This access allows for fact-based decision-making, collaboration and improved data literacy and allows users to easily, gather, integrate and analyze data.
  • Businesses that can gather data from disparate sources and use historical data to understand trends and patterns and forecast for the future can establish and sustain a competitive advantage and plan more effectively and accurately, avoiding missteps in the market and costly mistakes.
  • The business can establish and sustain a competitive advantage by democratizing data and allowing users to share and collaborate and to use data to make recommendations and decisions without guesswork and opinion.
  • Augmented Analytics is designed to encourage user empowerment and user adoption with tools like Self-Serve Data PreparationClickless AnalyticsSmart Data VisualizationAssisted Predictive ModelingAuto InsightsKey Influencer AnalyticsAnomaly Monitoring And Alerts and other user-friendly features that are sophisticated but designed for the average user skillset.
  • An Augmented Analytics solution is fast and easy to implement and requires little training to get your users started.

It really is just that easy! If you want to know more, you can explore here: Augmented Analytics Benefits

Original Post : Augmented Analytics Benefits (Many and Impressive)!

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4 Critical Features to Ensure Success with Mobile Analytics for Tally ERP! https://www.elegantjbi.com/blog/4-critical-features-ensure-success-mobile-analytics-tally-erp.htm https://www.elegantjbi.com/blog/4-critical-features-ensure-success-mobile-analytics-tally-erp.htm#comments Wed, 15 Dec 2021 07:05:57 +0000 https://www.elegantjbi.com/blog/?p=7932 Continued]]> 4-critical-features-to-ensure-success-with-mobile-analytics-for-tally-erpThe Tally ERP Solution is very popular with business users – accountants, finance professionals, inventory and purchasing managers and others. To take Tally to the next level, many organizations are integrating augmented analytics to enable insight, make fact-based decisions and allow accounting and finance professionals to add more value by making accurate, concise recommendations and suggestions to clients and team members so that the business can control expenses, understand and manage tax implications, improve supplier networks and purchasing workflow and optimize other processes.

In this article, we discuss four critical features to consider when integrating analytics with Tally ERP.

 

Designed for Business Users

The tools you provide for your business users should include Augmented Analytics, Business Intelligence and Reporting Integrated with the Tally ERP solution for easy access and intuitive use.  Users want easy-to-use tools that provide sophisticated insight into data using a myriad of value-added tools and features. Look for features that offer the ability to build a ‘story’ and review data in clear, concise visualization, dynamic charts and graphs, modern business intelligence features, and key performance indicators (KPIs) metrics to help you sustain a competitive edge.

Accessible from Within and Outside the Office

Today’s team members often work outside the office. They will want access to Tally ERP and to integrated analytics from desktops inside the walls of the office, from native mobile applications via Cloud server to fetch and display required data, graphs and reports and seamless security and privacy protection via web interface with built-in reporting available from anywhere.

Provides Comprehensive, Built-in Reporting

Your business professionals have a variety of needs. Look for built-in reporting that is designed for easy access and is formatted and available for any user so the accountant, finance pro, purchasing managers and others can choose the reports that are right for them and gain valuable insight into data across the enterprise. Overview Reports for Sales, Purchasing, Payables and Receivables, Income and Expenses, Cash and Banking, Duties, Taxes, Monthly Trends, Top and Bottom Analytics, Contribution Analysis, Cost Center Analysis, Ledgers, Account Statements, Tax and Statutory Reports, and Key Performance Indicators (KPIs) are important components of the most comprehensive picture of your business.

Offers User-Friendly Access to Analytics

Your business users do not want to learn a complex, augmented analytics software system with complicated features and analytical techniques. They want easy access to integrated analytics so they can quickly and easily perform analytics without a lot of training and effort. Remember, the accounting or finance professional is interested, first and foremost, in the data contained in the Tally environs. When you can integrate analytics and Tally ERP data, you give your users the tools to make confident decisions, improve workflow and business processes and help users add value to your business as professional consultants who bring together their professional knowledge, the data contained in the Tally ERP system and the analytics you need to understand and manage results.

4 Critical Features to Ensure Success with Mobile Analytics for Tally ERP

These are just a few of the considerations for integrating augmented analytics with Tally ERP. If you want to get more value out of your Tally ERP solution and optimize your resources and professional efforts, Contact Us for more information on SmartenApps For Tally.  For more information about integrating Augmented Analytics with Tally ERP, visit our Blog.

Original Post : 4 Critical Features to Ensure Success with Mobile Analytics for Tally ERP!

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How Embedded BI Can Benefit the Enterprise and Its Team Members! https://www.elegantjbi.com/blog/embedded-bi-benefit-enterprise-team-members.htm https://www.elegantjbi.com/blog/embedded-bi-benefit-enterprise-team-members.htm#comments Mon, 13 Dec 2021 14:35:43 +0000 https://www.elegantjbi.com/blog/?p=7928 Continued]]> how-embedded-bi-can-benefit-the-enterprise-and-its-team-membersThe trend toward analytics is growing globally. Even the smallest business is jumping on the bandwagon, and with good reason. With market changes, shifts in customer buying behavior and the need to spend wisely, businesses must make data-driven decisions if they are to be competitive and plan logically for growth.

But, when one considers the rate of user adoption for analytics, the results are discouraging. In a Gartner Analytics and BI Magic Quadrant customer reference survey, the average modern analytics and BI Adoption rate was estimated at 35%. Among the reasons for poor user adoption were the absence of self-serve BI capabilities, dependence on IT team, inflexibility of data silos, and lack of access to intuitive BI tools for deep dive, predictive and descriptive features.

If your business is considering the implementation of analytics to support data democratization and/or a Citizen Data Scientist initiative, there is no reason to be discouraged by the reported history of poor user adoption. With the right business intelligence and augmented analytics solution and the right approach, you can improve ROI, TCO and user adoption.

The key is to choose a solution and an approach that includes embedded BI and Application Programming Interface capabilities – Integration APIs. In this way, your users can access analytics from within familiar enterprise applications, mobile applications and even on websites, delivering crucial, timely data to users across the organization or to customers.

Here are just some of the benefits of this approach to augmented analytics:

  • Access to Embedded BI Objects from within Your Application leveraging features and functionality like Dashboards, Crosstab, Tabular, KPIs, Graphs, Reports, Clickless Analytics and more.
  • Flexible Deployment via public or private cloud, or enterprise on-premises hardware. Deploy anywhere!
  • Single Sign-On Access (SSO) using the same login credentials as those employed to access the business application.
  • Provide unique solutions and analytics integration without significant investment
  • Improve user adoption and ROI for BI investments
  • Support rapid implementation and deployment – quick, efficient and simple!
  • Provide embedded BI and access to timely data for public websites, to deliver crucial updates and analytics

If your business wants to leverage analytics and ensure user adoption rate, lower TCO and improve ROI with Embedded BI and Augmented Analytics,  Integration APIs provide intuitive, self-serve BI tools from within enterprise applications and public websites so you can put the power of facts, data and business insight in the hands of business users. With access to self-serve analytics from within familiar enterprise apps, BI adoption and use increases exponentially, so you can leverage all the benefits and advantages of augmented analytics.

Whether your business needs seamless BI and analytics access for team members, or you want to expand your own software product and improve your competitive status in the market, Smarten Embedded BI and Integration APIs holds the key to your success. For more information about how Augmented Analytics can support user adoption and business success, explore our white paper: Integrate Augmented Analytics and Digital Transformation to Achieve Continuous Business Improvement.

Original Post : How Embedded BI Can Benefit the Enterprise and Its Team Members!

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BI Tools with R Integration Make Users Happy! https://www.elegantjbi.com/blog/bi-tools-integration-users-happy.htm https://www.elegantjbi.com/blog/bi-tools-integration-users-happy.htm#comments Thu, 09 Dec 2021 09:46:23 +0000 https://www.elegantjbi.com/blog/?p=7921 Continued]]> r-integration-in-bi-tools-is-a-realityWhat is R Scripting and Why Do I Need it Integrated in My BI Tool?

Don’t you hate it when someone blurts out a mysterious term at a business conference and you are left to decide whether to reveal your ignorance by asking what they are talking about, or simply nodding your head and smiling as if you understand and agree? I hate it when that happens.

If you are a business person who is tackling the business intelligence solution environment, you are probably hearing a lot of those mysterious words and wondering how to make sense of all of it and decide on a solution that will give you the BI tools you need and give your users access to easy-to-use features and sophisticated analytics to improve the quality and timeliness of decisions.

The good news is that you don’t have to understand all the technical jargon in order to make a decision and choose a business intelligence solution. There are many features you’ll want and your IT consulting partner or IT team can help you understand how those features can be used and why they are important. One such ‘mysterious’ technology reference is R scripting and R integration. For business analysts, IT team members and data scientists, this concept may be old hat. For you, as a business professional without analytical experience, here’s what you need to know:

Choose a Business Intelligence solution that integrates seamlessly with R, (that’s a popular open source programming language and software environment for statistical computing). Your users can integrate any R script with input and output configuration both to and from R script and they will 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). The good news is that your users do NOT need extensive training or knowledge to leverage the R script integration. In a matter of minutes, a user can leverage forecasting, classification, clustering or any other statistical and predictive algorithms from R Script using self-serve visualization and reporting tools.

When your users have access to a BI tool that allows them to leverage R integration, they can build reports, make recommendations, present data and gain insight, all without the skills of a data scientist or an IT professional. That means you are much more likely to see positive user adoption results and to succeed in data democratization and data literacy initiatives. Integrating this type of functionality within your Business Intelligence Solution ensures that your users only have to go to one information source and dashboard to get what they need.

If your business wants a business intelligence solution that provides out-of-the-box functionality and application integration capability – one that can provide additional tools without requiring additional skills and investment – you can start here: ElegantJ BI Business Intelligence with R Integration.

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Add Analytics to Tally ERP and Watch What Happens! https://www.elegantjbi.com/blog/add-analytics-tally-erp-watch-happens.htm https://www.elegantjbi.com/blog/add-analytics-tally-erp-watch-happens.htm#comments Tue, 07 Dec 2021 06:16:35 +0000 https://www.elegantjbi.com/blog/?p=7912 Continued]]> analytics-makes-tally-erp-more-than-financial-software

Accountants and Finance Pros: Get the Most out of Tally ERP with Analytics!

What’s your role? Maybe you are an accounting professional, or a financial manager, or maybe you are a sales manager, someone in charge of purchasing for your business, or the person who manages inventory. No matter your role, if you deal with budget, overspending, supply shortages or any other aspect of the business affecting the budget, funding, spending and revenue, you know how important it is to stay on top of things.

If your business uses Tally ERP solutions, you may be entering data, printing and distributing reports, using the information in the system to track inventory and purchasing or, just about anything else. But, the problem with data is that it can often hide crucial trends and facts. You can see the columns and the numbers, you can print the statutory reports, but you can’t always apply your years of professional knowledge to that mound of data to spot issues or to help your colleagues or clients identify the next big thing.

Analytics Makes Tally ERP More Than Financial Software

Where are the opportunities? How can you use your limited resources to best leverage your products, your customer base, your competitive position? If you work with numbers in accounting or a finance-related position, you can add value by adding analytics to your Tally ERP solution. With built-in analytics that offer out-of-the-box reporting you can manage sales, purchasing, payables and receivables, income and expenses, cash and bank, duties and taxes, monthly trends and other categories and factors, using top to bottom analysis, contribution analysis and key performance indicators (KPIs) so you are managing with facts. You can explore sales and identify top customers, you can illustrate banking and cash results and compare historical time periods (all without having to dump data into an Excel spreadsheet), and make decisions based on fact-based analytics. You can spot trends in overdue collections, analyze inventory shortages, suppliers and shipping and distribution, and examine taxes, estimated tax obligations, cost centers and ledgers, account statements and reports that allow you to drill down and slice and dice by vendor product, service, cost, sales person, location, customer, inventory, purchasing, and more.

The benefit to you and to your clients and colleagues is a new kind of insight, going beyond data entry and dry, columnar reporting. Using clear visualization, dynamic charts and graphs and modern business intelligence tools, you can leverage KPIs and analytics to gain a competitive edge and add value and visibility for your individual position and your team.

If you are a Tally user, you can leverage powerful analytical tools to add value to your organization and take a proactive role in results. AND, your business can evaluate the solution for free. Find out more about SmartenApps For Tally analytics. Contact Us to today to find out how SmartenApps for Tally can help you achieve your goals.

Original Post : Analytics Makes Tally ERP More Than Financial Software!

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ElegantJ BI Embedded BI Solution Is Named as a Representative Vendor in Gartner 2021 ‘Market Guide for Embedded Analytics’, Published October, 2021 https://www.elegantjbi.com/blog/elegantj-bi-embedded-bi-solution-named-representative-vendor-gartner-2021-market-guide-embedded-analytics-published-october-2021.htm https://www.elegantjbi.com/blog/elegantj-bi-embedded-bi-solution-named-representative-vendor-gartner-2021-market-guide-embedded-analytics-published-october-2021.htm#comments Fri, 03 Dec 2021 05:41:09 +0000 https://www.elegantjbi.com/blog/?p=7906 Continued]]> Elegant MicroWeb is pleased to announce that its ElegantJ BI Embedded BI solution has been included as a Representative Vendor in the Gartner Market Guide for Embedded Analytics, published October 4, 2021 (ID G00748546).

CEO, Kartik Patel says, “We are proud to be recognized and included in the October 2021 Gartner Market Guide for Embedded Analytics. We feel that this recognition validates our team effort to continuously improve and upgrade our Business Intelligence and Augmented Analytics tools and solution and to provide cutting-edge technology in an intuitive interface designed for business users to support Citizen Data Scientist initiatives and data democratization.”

Smarten Embedded BI Solution Named as a Representative Vendor in Gartner Oct 2021 ‘Market Guide for Embedded Analytics’

The ElegantJ BI Embedded BI Tool is an easy-to-use tool designed to support business users and their use of embedded analytics within familiar enterprise applications, and to enable access to analytics and crucial, timely data for public websites and mobile applications.

“Our embedded BI tool is part of our Smarten Augmented Analytics solution, and is powered by the ElegantJ BI product,” says Patel. “The Embedded BI approach is designed to improve user adoption, lower TCO and improve ROI, and its integration APIs provide intuitive, self-serve BI tools from within enterprise applications to put the power of facts, data and business insight in the hands of business users.”

The ElegantJ BI Smarten Embedded BI solution is a crucial part of the Smarten augmented analytics suite and includes Smart Data VisualizationAssisted Predictive ModelingNatural Language Processing (NLP) And Search Analytics, with machine learning and many other sophisticated features.

Read more in the Gartner report: 2021 Market Guide For Embedded BI, Published 2021, October, (Gartner Subscription Required)
Source: Gartner, Market Guide for Embedded Analytics, James Richardson, Julian Sun, Kevin Quinn, 4 October 2021

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 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. Businesses can advance Citizen Data Scientist initiatives with in-person and online workshops and self-paced eLearning courses designed to introduce users and businesses to the concept, illustrate the benefits and provide introductory training on analytical concepts and the Citizen Data Scientist role.

Original Post : Smarten Embedded BI Solution Named as a Representative Vendor in Gartner Oct 2021 ‘Market Guide for Embedded Analytics’

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Insight and Perspective: The Gifts of Augmented Analytics! https://www.elegantjbi.com/blog/insight-perspective-gifts-augmented-analytics.htm https://www.elegantjbi.com/blog/insight-perspective-gifts-augmented-analytics.htm#comments Wed, 01 Dec 2021 06:01:36 +0000 https://www.elegantjbi.com/blog/?p=7901 Continued]]> augmented-analytics-provides-perspectiveAugmented Analytics: Insight Comes from Perspective!

Perspective is everything. You can stare at numbers and columns all day and never see the one nugget of information that will give you insight and help you solve a problem or find that one opportunity to drive the business to the next level. When you and your business users can leverage augmented analytics tools, without worrying about complex algorithms or writing code or designing reports, you can find those elusive nuggets of information and use them to improve your business results.

 

 

 

Key Influencer Analytics is a tool that allows your users to gather and analyze data to find those particular things that have the most influence on your success and to identify the target variables that matter most and understand the impact of those influencers so you can make adjustments or expand on your success.

Assisted Predictive Modeling takes forecasting to the next level with auto-recommendations and suggestions so users can find the simplest way to analyze and get recommendations on which predictive algorithms will best suit the type and volume of the data they are analyzing.

Smart Data Visualization lets a user dig in and clarify the root cause of a problem by interacting with data discovery tools that are easy to use. Your users can build a view using guided visualization so that they can best present the data based on data type, data volume and dimensions and the patterns and nature of the data.

Natural Language Processing (NLP) is familiar to all users. It is a Google-type interface that lets your users compose a question using common human language and get an answer in the same format, with no need to scroll through menus. The system presents results in the most appropriate form so users don’t have to wade through data and organize it themselves. Tools like Clickless Analytics and Auto Insights ensue that the system interprets the user request and the dataset and uses machine learning to deliver the best results using the best algorithm and technique to provide the best insight.

Anomaly Monitoring and Alerts allows users to see trends and anomalies and to map targets and focus on the things that have the greatest impact so they can adapt and develop successful strategies. Users can quickly analyze which variables have the greatest effect on target key performance indicators (KPIs).

If your business wants to gain insight and perspective and achieve a competitive advantage, using simple, Augmented Analytics tools, Contact Us today to get started.

Original Post : Augmented Analytics Provides Perspective!

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Solve the Right Problems with Key Influencer Analytics! https://www.elegantjbi.com/blog/solve-problems-key-influencer-analytics.htm https://www.elegantjbi.com/blog/solve-problems-key-influencer-analytics.htm#comments Tue, 30 Nov 2021 14:10:21 +0000 https://www.elegantjbi.com/blog/?p=7898 Continued]]> target-the-right-things-with-key-influencer-analyticsDo You Know What Key Influencer Analytics Can Do For Your Business?

What matters most in your business? Don’t say everything, because there is no way you can place strategic focus on every aspect of the business and, although all of your goals and objectives should be aligned, there are, in fact, a smaller number of things hidden within your business that will impact your success if they are not attended to and that will give you the most benefit if you spend a bit more time organizing and planning activities and business processes around these things.

But, how does a business find those few key items that can provide the most benefit?

One of the most frustrating things a business has to do is to find and analyze data in a way that is meaningful to the management team and the business users, so that they can consider the factors, variables and data that may affect the outcome of decisions. Without the ability to identify the right variables, the business is likely to measure and attend to the wrong things.

Key Influencer Analytics puts the power and clarity of targeted analytics in the hands of business users. Team members with average skills can leverage these tools with ease. A user can simply point to the dataset they want to analyze and the Key Influencer Analytics tool identifies the target and the influencers or predictors that will affect that target, along with its impact and it provides crucial metrics such as mean, outliers, and others and identifies relationship and distribution among variables. The solution will auto-suggest relationships and present distribution and impact using the most appropriate visualization. The solution includes interactive features that allow users to see and explore other combinations and impacts and can select target and predictors, and use them for models, reports or KPIs.

With this type of tool, team members can perform analytics and find key influencers on their own without the assistance of a data scientist or an IT team member, so their business processes and workflow will not be interrupted or delayed. Your business can find and address what matters most within the data, understand the impact and the interdependence of variables and target these variables with auto-suggestions that will result in timely and effective action and outcomes.

If you want to encourage your business users to employ data analytics and find those hidden aspects of your business that will reap the most benefit, explore the advantages of Key Influencer Analytics.

Original Post : Target the Right Things with Key Influencer Analytics!

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Smarten Support Portal Updates – November – 2021! https://www.elegantjbi.com/blog/smarten-support-portal-updates-november-2021.htm https://www.elegantjbi.com/blog/smarten-support-portal-updates-november-2021.htm#comments Thu, 25 Nov 2021 06:00:14 +0000 https://www.elegantjbi.com/blog/?p=7894 Continued]]> smarten-support-portal-updates-november-2021We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. Functions & Expressions : Summary on Crosstab with multiple Row and Column dimensions
  2. Dashboards: Improve dashboard loading performance for dashboards with multiple objects

Forum Topics

  1. Functions & Expressions :How to use summary functions and it’s variations on different scenarios?
  2. Dashboards: How to improve the dashboard loading time in Smarten?

Training Usecases

  1. Create Custom column values from the dataset

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

Original Post : Smarten Support Portal Updates – November – 2021!

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Handling Multicollinearity using Smarten Augmented Analytics! https://www.elegantjbi.com/blog/handling-multicollinearity-smarten-augmented-analytics.htm https://www.elegantjbi.com/blog/handling-multicollinearity-smarten-augmented-analytics.htm#comments Wed, 24 Nov 2021 09:39:13 +0000 https://www.elegantjbi.com/blog/?p=7880 Continued]]> handling-multicollinearity-using-smarten-augmented-analytics1.    The more the merrier, but the fewer the better!

Often, it’s difficult to determine the impact of an individual influencer on the response variable when multiple influencing factors have more or less the same influence. Let’s streamline this with a realistic example. Say for instance, we want to examine a child’s weight based upon various influencing factors including child’s height and age. It becomes evident that as children grow older, they get taller! Hence, both height as well as age are highly correlated in determining child’s weight. So, this case study has indeed a multicollinearity problem!

2.    Remove Collinearity, Remove Redundancy

Multicollinearity exists in regression analysis when one or more independent variables are highly correlated with each other making it difficult to distinguish their individual impact on the outcome variable in turn undermining the statistical significance of the correlated variable upon response variable. In layman’s terms, independent variables must be “independent” of each other and not correlated with each other for regression analysis. The key motive of regression is to isolate the relationship between each independent variable and dependent variable.

remove-collinearity-remove-redundancy

In best case scenario, the regression coefficient interprets change in dependent variable (i.e., Y) with a unit change in independent variable (i.e., Xi), holding all the other independent variables as constant. However, when the independent variables are highly correlated, it indicates that the changes in one variable are associated with changes in other correlated variables, making it difficult to estimate independent relationships of variables with the target. So, a big challenge is to deal with collinearity maintaining independence of each attribute!

3.     Smarten Assisted Predictive Modelling: Take the Guesswork out of Planning!

Every organization must plan and forecast results. If the enterprise is to succeed, it must strive for accuracy and identify trends and patterns in the market and industry that will help it to predict future results, plan for growth and capitalize on opportunities. Smarten Insight provides predictive modeling capability and 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.

4.     Handling Multicollinearity in Regression Analysis using Smarten

Having knowledge upon the consequences of Multicollinearity, both in terms of statistical as well as predictive inferences made from regression analysis, it becomes crucial to get rid of it at a preliminary stage before processing our regression model. One of the straightforward yet effective ways to deal with this problem is to remove the highly correlated predictor variables and retain a single independent variable corresponding to all the correlated variables based upon its feature importance in predicting the outcome.

Let’s take a look at the process bit by bit…

4.1.       Ultimately, how much sales happens is what matters!

Predictive sales analytics plays critical role in maximizing productivity of any business. Moreover, it brings great relief to companies working with sales. Often there are too many items of one product on stock creating risk not to have enough space for other goods or to be forced to sell at a discount. On the contrary, the sales fall when the items are too few. Prediction of future sales allows them to avoid these problems and make better decisions. Product’s selling price relies on number of factors such as the product category, brand name, sales quantity of the product, cost of goods while making the product, marked price, gross sales to name a few. Predicting product sales thus becomes a crucial exploration and it would be rather interesting to relate multicollinearity phenomenon with this use case using Smarten Assisted Predictive Modelling!

4.2.       If we have data, let’s look at it!

Any kind of analysis initiates by looking upon the data. Keeping a note that we already have a predefined dataset uploaded to Smarten, let’s view the product sales dataset and understand the effect of multicollinearity in predicting the sales price of a product. 

product-sales-price-prediction-dataset

Product Sales Price Prediction Dataset 

 

SalesPrice hereby represents a continuous variable indicating the selling price of the corresponding product. The remaining columns (i.e., ProductCategory, ProductName, SalesQty, CostofGoods, ListPrice, Date and GrossSales) represents the factors based upon which one can make their optimal predictions. One can explore this problem statement of predicting the sales price based upon influencing factors as a regression analysis with SalesPrice being the target variable.

4.3.            Create a fresh New Smarten Insight  

Go to New -> SmartenInsight Menu in the dropdown provided in the top right corner of the Smarten Dashboard.

creating-a-new-smarten-insight
Creating a new Smarten Insight

 

4.4.        Select the Data to perform exploratory analysis upon

Let’s choose Product Sales Price Prediction dataset for our analysis purpose followed by clicking the NEXT button to proceed for further actions.

selecting-product-sales-price-prediction-dataset-to-perform-analysis
Selecting Product Sales Price Prediction dataset to perform analysis

 

4.5.      Perform Sampling or Filtering if required

For our current objective to deal with the multicollinearity aspect in regression analysis, let’s consider the entire data passed and understand the results. Click the Next icon to jump to the preceding step.

amount-of-dataset-for-analysis-to-be-considered-option

Amount of Dataset for Analysis to be considered option

 

4.6.        Perform Data Pre-processing steps if requisite and click Next

data-pre-processing-using-smarten
Data pre-processing using Smarten

 

4.7.         Now we are all set to perform Regression Analysis for our sales data

On selecting the regression algorithm for our SmartenInsight, Smarten is automated to suggest its users with apt target and corresponding influencing predictors, moreover providing flexibility to alter the suggested target or predictors in order to perform requisite exploratory analysis.

selecting-regression-as-algorithm-technique
Selecting Regression as algorithm technique

 

4.8.           And here we go! We are ready with required target and predictors

From the below screen, it can be inferred that SalesPrice is our target variable and ListPrice, GrossSales and ProductName being the encouraged influencing predictors as well as recommended predictors exhibiting multicollinearity effect as auto suggested by Smarten.

auto-handling-of-multicollinearity-in-smarten-insight
Auto-Handling of Multicollinearity in Smarten Insight

 

4.9.        Too many cooks spoil the broth

It becomes evident from the screen above that a product’s gross sales is highly correlated with the sales quantity as well as cost of goods with correlation scores as high as 0.89 and 0.81 respectively. A sage insight can be hereby drawn that gross sales (i.e., the grand total of the sale transaction for a product) is highly dependent upon the quantity of sales of that product over period of time. Hence, more the sales quantity for a product, clearly more will be the gross sales. Furthermore, the cost of goods for making the product also exhibit high multicollinearity with its gross sales. Let’s consider our product for sales be Chinese noodles. More the cost of goods (here say more variety of sauces, pepper, veggies, beans etc.) included in making the dish, more appetizing the noodles will be encouraging more gross sales of the product. In order to obtain better estimation for the regression model, we must remove the multicollinearity effect from it by dropping one of the highly correlated variables from the pairs obtained as either one almost has the same impact on our target variable (i.e., SalesPrice). For our current examination of predicting a product’s sales price, product sales quantity and cost of goods, as a consequence of the multicollinearity effect, have been removed from our regression analysis. Smarten automatically computes each predictor’s feature importance in predicting the outcome and drops the lesser important features (marked in red in the table shown above) with multicollinearity to obtain satisfactory regression analysis outcome.

Original Post : Handling Multicollinearity using Smarten Augmented Analytics!

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Combine Tally ERP and Analytics and Be Proactive! https://www.elegantjbi.com/blog/combine-tally-erp-analytics-proactive.htm https://www.elegantjbi.com/blog/combine-tally-erp-analytics-proactive.htm#comments Tue, 23 Nov 2021 09:00:57 +0000 https://www.elegantjbi.com/blog/?p=7874 Continued]]> add-analytics-to-tally-erp-and-make-your-finance-pros-happyCan Adding Analytics to Tally ERP Help My Accounting and Finance Professionals?

If you are an accountant or a finance professional, you may be frustrated by the fact that your seat at the table often comes too late in the game for you to make a difference. If your role is limited to statutory reporting or producing reams of columns and reports for business colleagues and then trying to explain them, if your ability to affect a problem in a timely manner is limited, if you are always seeing the real picture in the rear view mirror, you might want to think about integrating analytics within your accounting and finance solution.

For Tally ERP solutions users, this addition is much easier today. Business users can leverage the Tally ERP solution AND produce out-of-the-box reports that will provide insight into trends and patterns, and analytical views that allow you, as a business professional, to intelligently assess what is happening without having to guess at what WILL happen.

Why is data analytics important? What could data tell you if you could see it in near real time?

 

combine-tally-erp-and-analytics-and-be-proactive

Your team can use Sales and Purchasing, Bank and Cash, Payable and Receivable, Inventory, Tax, Cost Center, Ledger, Account Statements, Drill Down, KPIs, Reports and Overviews to find data and to gain insight into what is really going on in the business – and you can use that data to recommend actions and advise your colleagues and clients. Seamless search options and text searches throughout the Tally app allow you to gather information and see it in a way that is meaningful to you, so you aren’t just doing data entry and reporting. You can find behavioral patterns, employ continuous monitoring and answer complicated tax questions and you can assess investment scenarios. You will be actively participating in business decisions. This proactive involvement will help to ensure improved productivity and to mitigate missteps and backtracking in the business.

It will make your job easier and more rewarding AND it will improve business results and provide the visibility and the seat at the table that your professional and business function deserves.

If you are a Tally user, you can leverage powerful analytical tools to add value to your organization and take a proactive role in results. AND, your business can evaluate the solution for free. Find out more about SmartenApps For Tally analytics. Contact Us to today to find out how SmartenApps for Tally can help you achieve your goals.

Original Blog : Add Analytics to Tally ERP and Make Your Finance Pros Happy!

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What’s Predictive Analytics All About and Why Should I Care? https://www.elegantjbi.com/blog/whats-predictive-analytics-care.htm https://www.elegantjbi.com/blog/whats-predictive-analytics-care.htm#comments Tue, 16 Nov 2021 20:23:40 +0000 https://www.elegantjbi.com/blog/?p=7871 Continued]]> dont-be-afraid-to-try-predictive-analytics-its-easyWhy Sasha Doesn’t Need to Fear Predictive Analytics!

My friend Sasha asked me about Predictive Analytics (knowing it was my favorite subject). Like most other business people, Sasha has a lot of professional knowledge but no exposure to analytics and the concept of Predictive Analytics is frightening and foreign to her. If your business team wants to up its game and get into predictive analytics, it really isn’t that hard. You can select an augmented analytics tool that allows your business users to leverage these features without a data science or business analyst background.

There are lots of predictive analytics techniques and all of these will be at your fingertips within an easy-to-use augmented analytics environment so your team will not be intimidated. Techniques include:

  • Time Series Forecasting (Holt Winters, Single, Double, Triple, Box Jenkins, ARIMA and ARIMAX)
  • Regression (Simple and Multiple Linear)
  • Classification (Naïve Bayes, Decision Tree, K-Nearest Neighbor, Multinomial Logistic Regression, Binary Logistic Regression and Support Vector Machine)
  • Association (Frequent Pattern Mining)
  • Correlation (Spearman and Karl Pearson)
  • Clustering (K Means and Hierarchical)
  • Hypothesis Tests (One-Way Anova, Paired T-Test, Independent T-Test, Chi-Squared Test)
  • Descriptive Statistics (Mean, Median, Mode, Standard Deviation, Variance, Quartiles, Percentiles, Skewness and Kurtosis)

You can use these techniques for quality control, fraud mitigation, customer churn, demand planning, product and service cross-selling, maintenance management, customer targeting, loan approval, marketing optimization, online target marketing, analysis of external data, and student assessments, just to name a few things. If you are a business professional and you can see an application in your own role for these types of tools, you don’t have to be afraid of the idea of predictive analytics. Let the augmented analytics solution do the work for you and show you the results in a way that is meaningful to your role.

It really is easy! If you want to know more, you can explore here: Predictive Analytics Use Cases, or contact us to find out how simple Predictive Analytics can be!

Original Post : Don’t Be Afraid to Try Predictive Analytics. It’s Easy!

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3 Ways Business Users Can Benefit from Tally Mobile Analytics! https://www.elegantjbi.com/blog/3-ways-business-users-benefit-tally-mobile-analytics.htm https://www.elegantjbi.com/blog/3-ways-business-users-benefit-tally-mobile-analytics.htm#comments Tue, 16 Nov 2021 13:38:37 +0000 https://www.elegantjbi.com/blog/?p=7865 Continued]]> 3-ways-business-users-can-benefit-from-tally-mobile-analyticsTally ERP Solutions are popular with users, especially in India. Whether you are an accounting, finance, purchasing or other related professional, you are probably using this software for data entry and reporting. These tools are an integral part of your day and your role. In this article, we discuss, three of the ways in which business users can benefit from adding mobile analytics to the Tally environment.

Providing Critical Insight

No matter what role you play in your organization, it is sometimes hard to use the data you enter or the data in your reports to gain any meaningful insight. You may be able to draw some simple conclusions (like increases vs. decreases in revenue) but to spot trends, patterns, issues or opportunities, you might need to engage the expertise of a data scientist, an analyst or an IT professional. These individuals can take information from your system and drop it into an Excel spreadsheet or an analytical system and will, hopefully, be able to provide crucial information to support your decisions. In a perfect world, business users can leverage their own domain and industry knowledge to test theories, hypothesize and report in a way that tells a story and leads them to make confident decisions. Integrating analytics with the Tally solution allows the professional to take the data already in the system and use pre-built reports and tools to dive deep into data and create a picture of the business that will provide real insight into how the business is doing. These data-driven explorations allow users to identify issues before they create a real problem and to use information to move the business forward.

Adding Value to Your Role

If you are an accounting or finance-related professional, you can use integrated analytics to take the data in the Tally ERP system to the next level. By understanding the issues and gaining insight you can add value in your practice and in advising your clients. Going beyond data entry and statutory reporting allows you to make recommendations that will provide real value to your clients and colleagues and will expand your role and enhance your professional visibility and reputation. When a business user can leverage sophisticated analytics in a simple environment, there is no need for additional training. Your own professional expertise is leveraged and combined with the data to provide real insight and allow you to quickly and easily add value by drawing the right conclusions and leading your clients and colleagues to the most effective decision.

Improving Collaboration

With integrated analytical tools, all accounting and finance professionals can work within their own role AND collaborate with others to achieve a comprehensive picture of the business, its investments, its tax obligations, its product results, the efficiency of its supplier network, the efficacy of its purchasing strategy and more. Rather than focusing on an individual aspect of business results, and limiting your vision to a single ‘silo’, your professional teams can work together to create and manage a complete picture of the business that will optimize investments, revenue and resources.

3-ways-business-users-can-benefit-from-tally-mobile-analytics-screenshot

This article describes three of the many reasons a business should consider integrating analytics with the Tally ERP solution to improve results and streamline workflow, supplier networks, tax planning and other related activities.

If you are a Tally user and you wish to explore the benefits of analytics for your professional team, start here: SmartenApps For Tally. For more information about Tally analytics for accounting and financial applications, visit our Blog.

Original Blog : 3 Ways Business Users Can Benefit from Tally Mobile Analytics!

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How Can My Team Use GeoMapping BI Tools? https://www.elegantjbi.com/blog/team-geomapping-bi-tools.htm https://www.elegantjbi.com/blog/team-geomapping-bi-tools.htm#comments Thu, 11 Nov 2021 16:00:02 +0000 https://www.elegantjbi.com/blog/?p=7863 Continued]]> is-geomapping-something-my-business-needsWhy Does My Business Need BI Tools with GeoMaps?

So, you’ve got yourself a BI tool! That’s great news. Hopefully, that business intelligence solution includes all the features your business users need to easily gather and analyze data and make recommendations and suggestions, make decisions and fulfill their responsibilities in a way that supports your corporate goals and objectives. While your business may not think it needs all the bells and whistles, there are many hidden benefits to features and tools. Take for example, GeoMapping.

Your organization and business users may not immediately see an application for GeoMaps within the parameters of its work processes and decision-making, but every business deals with issues that relate to location, geographic areas, planning and analysis of what is happening right now.

With GeoMap support, your users can enhance their use of BI tools, leveraging Geo Data and displaying data within an interactive GeoMap. Using this simple tool, team members can analyze data for any location, and define geographic areas with support for drill down, spot lighter and other features. These features integrate seamlessly with business intelligence dashboards with User Interface (UI) compatibility on all devices including tablets, smart phones and other mobile devices, so users have access to this type of data analysis in the office and on the road.

Perhaps your business includes shipping and distribution or tracks security guard or trucking routes, on-time distribution, local services, or maybe you are interested in locations for sales, weather, media coverage or any other facet of business that incorporates location or geographic positioning. GeoMapping can help your team members analyze results, find patterns and solve problems.

If your business wants to use business intelligence tools in creative and meaningful ways, look for a solution that provides GeoMapping, deep dive features and other functionality that will allow your team to be empowered, accountable and effective.

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How Can My Business Use Citizen Data Scientists? https://www.elegantjbi.com/blog/business-citizen-data-scientists.htm https://www.elegantjbi.com/blog/business-citizen-data-scientists.htm#comments Wed, 10 Nov 2021 14:54:45 +0000 https://www.elegantjbi.com/blog/?p=7845 Continued]]> getting-to-know-the-citizen-data-scientist-roleCan I (or my team) Handle the Citizen Data Scientist Role?

If you are a business owner or a business team member who has been asked to consider the Citizen Data Scientist role, you may be wondering how it all works and whether you (or your team member) can handle the new role.

First, let’s say that Citizen Data Scientists are not business analysts or data scientists. They are business users with domain, market or professional skills who will benefit from using data analytics. The ideal Citizen Data Scientist is a person who is respected in the enterprise, one who shares data and information with others to collaborate and product positive outcomes and one who is curious and likes learning new things. Citizen Data Scientists can be champions within the organization to spread the word and become role models for other team members so that, over time, the business can cascade this approach to all business users and achieve successful user adoption, improve data literacy and engender digital transformation.

Citizen Data Scientists may be IT team members who are interested in data science, or they may be candidates who have an interest in learning data analytics or are power users of other software and like to use technology. Whatever the profile within your business, team members who adopt augmented analytics and use these interactive tools to perform analytics, present data and make decisions can move business processes forward with fact-based decisions and recommendations and improve the quality of these decisions, thereby avoiding missteps. These tools are designed for business users so they can be used daily to perform tasks.

If and when analysis must be refined for strategic purposes, or to further test theories and conclusions, Citizen Data Scientists can work with IT or data scientists to advance the initial analytics and analysts, data scientists or IT can create use cases, and refine the data analysis for use in strategic planning and to address problems that require 100% accuracy.

The Citizen Data Scientist approach is crucial to sustained competitive advantage and to nurturing human resource assets, improving productivity and making the right decisions at the right time. Businesses and users can get ahead of the curve in the market and enable true collaboration.

For more information on Citizen Data Scientist initiatives and how to successfully implement this type of initiative in your business, explore these Citizen Data Scientist Blog Publications.

If you are a prospective Citizen Data Scientist, you don’t have to do this alone! Contact Us to today or Click Here to explore training for Citizen Data Scientists, designed to help you succeed on your Citizen Data Scientist journey.

Original Post : Getting to Know the Citizen Data Scientist Role!

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Small and Medium Sized Businesses (SMEs) Needs Self-Serve Advanced Analytics! https://www.elegantjbi.com/blog/small-medium-sized-businesses-smes-self-serve-advanced-analytics.htm https://www.elegantjbi.com/blog/small-medium-sized-businesses-smes-self-serve-advanced-analytics.htm#comments Wed, 10 Nov 2021 09:04:26 +0000 https://www.elegantjbi.com/blog/?p=7839 Continued]]> small-and-medium-sized-businesses-smes-needs-self-serve-advanced-analyticsIf your small or medium sized (SME) business is looking for ways to improve forecasting, problem solving and market opportunities, it must have an agile, swift analytical process that will allow business users to leverage their role, their knowledge of their business function and their collaborative initiatives to gather, analyze and share information and improve business results.

A recent Gartner report states that, natural language processing and conversational analytics will boost analytics and business intelligence adoption from 35% of employees to over 50%, including new classes of users, particularly front-office workers. When one considers the impact of this cultural and workflow transition, it is easy to see how small and medium sized businesses might feel overwhelmed by the pressure to keep up!

If an SME wants to remain competitive in its market of choice; if it wishes to attract and retain the best resources; if it wishes to inspire data literacy and make the most of its business users by transforming them into Citizen Data Scientists, its senior executives, CIOs, IT staff and analytical teams must plan for the implementation (or upgrade) of augmented analytical tools that are suitable for every business user.

 

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A fact-based, data-driven analytical approach will ensure that the business can identify and capitalize on business opportunities, plan for new products, optimize processes and resources and target customers, investments and locations that will help the business to achieve results.

Fortunately, the self-serve advanced analytics market now provides visual-based data analytics like Smart Data Visualization that help the user to choose the right visualization technique for the data they wish to analyze. Other features like assisted predictive modeling enable a business user to leverage guidance to choose sophisticated algorithms and techniques and use these techniques and intuitive tools to perform analytics.

Machine learning, natural language processing (NLP) and simple search analytics allow users to ask questions, test theories and get information in a simple, natural language environment so the users are not required to understanding programming or analytical techniques to achieve results. Self-serve data preparation is simple enough for every user and allows team members to select data from an integrated data environment and prepare that data for analysis, all without the help of the IT team. This type of environment will free the IT and data science team members to focus on strategic, critical projects.

The self-serve, augmented analytical approach enables SMEs to visualize and explore relationships and patterns and gain insight into the root cause of problems, and the interrelationships of processes, tasks and activities. These tools will guide business users and ensure appropriate, secured data access and data governance, so an SME can make the most of data and use clean, reduced data to inspect, test, and validate theories, identify thresholds and plan for the future.

By giving business users this power and access, the SME can do more with less (in financial and human resource investment) and advance the interests of the organization, ensure user adoption and control costs.

Original Post : Small and Medium Sized Businesses (SMEs) Needs Self-Serve Advanced Analytics!

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Smarten Support Portal Updates – October – 2021! https://www.elegantjbi.com/blog/smarten-support-portal-updates-october-2021.htm https://www.elegantjbi.com/blog/smarten-support-portal-updates-october-2021.htm#comments Tue, 02 Nov 2021 15:17:34 +0000 https://www.elegantjbi.com/blog/?p=7835 Continued]]> smarten-support-portal-updates-october-2021We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. Functions & Expressions : Summary on Crosstab with only one row and column dimension
  2. SSDP: Improving performance for fetching data from the database

Forum Topics

  1. Functions & Expressions :How to use summary functions and it’s variations on different scenarios?
  2. Datasource: When I create a dataset from CSV / Excel files using upload file from my desktop option, do I have to upload it every time when there are any changes in the file?

Predictive Usecases

  1. Handling Multicollinearity using Smarten Augmented Analytics

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

Original Post : Smarten Support Portal Updates – October – 2021!

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What is Embedded BI and Why Does Your Business Need it NOW? https://www.elegantjbi.com/blog/embedded-bi-business-now.htm https://www.elegantjbi.com/blog/embedded-bi-business-now.htm#comments Tue, 02 Nov 2021 07:42:43 +0000 https://www.elegantjbi.com/blog/?p=7832 Continued]]> do-you-know-why-embedded-bi-is-right-for-your-businessEmbedded BI and Augmented Analytics WILL Improve User Adoption, ROI and TCO!

Have you heard of Embedded BI? Do you know what it is? If not, your business is missing a lot. Embedded BI provides a lot of potential for your business to enable Citizen Data Scientist initiatives and data democratization, improve data literacy across the enterprise and make better business decisions.

The biggest issue businesses face when they try to implement data analytics across the organization is one that involves existing business culture and the willingness of users to change the way they work and to adopt new tools. Many users are intimidated by BI tools and augmented analytics because they think they are too difficult to use and that they will get lost in a sea of data and complex tools and commands. They may have friends in other companies who have told them about their own experience with trying to use solutions that are deemed to be self-serve but are actually too restrictive and difficult for the average business user to understand and adopt.

A Gartner Analytics and BI Magic Quadrant customer reference survey found that the average modern analytics and BI Adoption rate was 35%. There are numerous reasons for poor user adoption including the absence of self-serve BI capabilities, dependence on IT team, inflexibility of data silos, and lack of access to intuitive BI tools for deep dive, predictive and descriptive features.

If you want to improve the user adoption rate, lower TCO and improve ROI you can achieve these goals with Embedded BI and Augmented Analytics. Integration APIs provide intuitive, self-serve BI tools from within enterprise applications and public websites so you can put the power of facts, data and business insight in the hands of business users. With access to self-serve analytics from within familiar enterprise apps, BI adoption and use increases exponentially!

You can deploy seamless integration of Augmented Analytics and Business Intelligence Objects with easy to use, scalable integration APIs. Enable integrated business intelligence where you need it, with simple, easy-to-use analytics integration within enterprise and business applications in a single sign-on environment so tea members can use augmented analytics from within their enterprise applications or mobile apps. Engender business intelligence data democratization and alleviate user frustration with real business user solutions and deep dive capabilities. Provide user access within their favorite applications to improve user adoption of business intelligence tools, and engender collaboration, data sharing and fact-based decisions.

Whether your business needs seamless BI and analytics access for team members, or you want to expand your own software product and improve your competitive status in the market, Smarten Embedded BI and Integration APIs holds the key to your success.

If your business wants to leverage Embedded BI And Integration APIs to achieve swift, dependable results in the business user community, Contact Us today to get started.

Original Post : Do You Know Why Embedded BI is Right for Your Business?

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White Paper: A Roadmap to ROI and User Adoption of Augmented Analytics and BI Tools https://www.elegantjbi.com/blog/white-paper-roadmap-roi-user-adoption-augmented-analytics-bi-tools.htm https://www.elegantjbi.com/blog/white-paper-roadmap-roi-user-adoption-augmented-analytics-bi-tools.htm#comments Tue, 02 Nov 2021 06:08:51 +0000 https://www.elegantjbi.com/blog/?p=7828 Continued]]> When choosing a BI tool and augmented analytics solution for your business, one of the most crucial concerns is the features and functionality of the prospective solution and how this solution will meet user and organizational needs. It is important to remember that there are also specific features a business should consider, like embedded BI and easy-to-employ Integration APIs, that will assure user adoption and appropriate ROI and TCO.

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White Paper: Making the Case for Embedded BI and Analytics https://www.elegantjbi.com/blog/white-paper-making-case-embedded-bi-analytics.htm https://www.elegantjbi.com/blog/white-paper-making-case-embedded-bi-analytics.htm#comments Thu, 28 Oct 2021 14:56:32 +0000 https://www.elegantjbi.com/blog/?p=7819 Continued]]> When a business considers business intelligence and augmented analytics initiatives, it should include Embedded BI and Integration APIs to improve ROI, TCO and user adoption. If an enterprise does not understand the risks of data silos, and restrictive analytics solutions, it is not likely to make the right choices. With appropriate planning and execution, businesses can create a solid foundation, and provide benefits for all users, managers and IT staff.

 

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Increase Team Member Value with Augmented Analytics! https://www.elegantjbi.com/blog/2021/10/26/increase-team-member-augmented-analytics/ https://www.elegantjbi.com/blog/2021/10/26/increase-team-member-augmented-analytics/#comments Tue, 26 Oct 2021 09:27:11 +0000 https://www.elegantjbi.com/blog/?p=7810 Continued]]> augmented-analytics-leverages-business-user-time-and-skillMake the Most of Your Team Member Skills with Augmented Analytics!

Every business owner and manager understands the problem of limited resources. Today, you have fewer team members and you must do more to compete in the market. To enhance productivity and collaboration and ensure that every team member is making better decisions, it is wise to implement augmented analytics within your organization.

With the right augmented analytics tools, business users can participate in a culture of continuous improvement, identify issues, solve problems, target opportunities and mitigate guesswork and opinion by making fact-based decisions.

If you want to make the most out of your business users and your resources, give them the right tools! These business users do not need to be data scientists or IT professionals to leverage an augmented analytics solution. Instead, they can combine their market, domain and professional knowledge with data integrated from data sources across the enterprise to explore, theorize and test hypotheses – all with average technical skills.

If your business commits to a cultural shift to democratize data across the enterprise, it can improve data literacy and encourage the use of data in staff meetings and to support recommendations and suggestions, so that business users understand that the organization itself it making a commitment to facts and to data-driven processes and workflow.

Business team members are often stressed with extra workload and bogged down by organizational bureaucracy.  By providing easy-to-use, intuitive tools, the organization can make a team member job easier, clarify issues and help them complete tasks and activities more quickly and without guessing whether the outcome will be successful. Tools like self-serve data preparation, smart data visualization and assisted predictive modeling are supported by technology that allows business users to leverage sophisticated tools without the skills of a data scientist. Machine Learning and Natural Language Processing (NLP) support ease-of-use and allow simplified search analytics and completion of tasks.

If you want to make encourage your business users to employ data analytics and improve the quality of decisions and shared information, Contact Us to get started with Modern Business Intelligence and Augmented Analytics tools.

Original Post : Augmented Analytics Leverages Business User Time and Skill!

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4 Benefits of Mobile Analytics for Tally ERP Solution! https://www.elegantjbi.com/blog/4-benefits-mobile-analytics-tally-erp-solution.htm https://www.elegantjbi.com/blog/4-benefits-mobile-analytics-tally-erp-solution.htm#comments Thu, 21 Oct 2021 15:32:28 +0000 https://www.elegantjbi.com/blog/?p=7806 Continued]]> 4-benefits-of-mobile-analytics-for-tally-erp-solutionIf your business is using Tally ERP, your team members have access to tools that support their roles in every aspect of accounting and finance. Whether a user is focused on purchasing, inventory and supply chain, accounting and statutory reporting, finance and investment or any one of a number of other disciplines, Tally Solutions are designed to enable data entry, data organization and reporting.

In this article, we review four of the benefits the business will enjoy by adding augmented analytics to the Tally environment and how the integration of augmented analytics can provide additional tools, insight and value to the organization and make your team members more efficient and effective.

Augmented Analytics is a term coined by Gartner analysts to describe a data analytics approach that leverages machine learning and natural language processing (NLP) to provide simple tools for business users and streamline and democratize the analytical process so that every team member can have access to business intelligence and analytics for decision-making.

Go Beyond Data Entry

The typical accounting and finance professional uses Tally for data entry. Entering and tracking data in a single system allows users and managers to see reports that reflect the current state of the business. By adding augmented analytics to the tools available to your team, you support users and empower them to use their industry and domain knowledge to explore and find ‘nuggets’ of data that will help them make decisions and, more importantly, allow them to go beyond simple data entry and reporting to provide valuable advice and recommendations to the management team. Sifting through traditional reports and trying to ‘see’ the real story is often difficult in a traditional accounting and finance system. With integrated augmented analytics, users can theorize and discover answers and use that information to improve outcomes.

Reduce Guesswork and Opinion

At the end of the day, a team member can print reports, pour over data and highlight areas for improvement or perhaps an area they think might represent an opportunity for the business. But, if the data is not presented in true analytical form, team members may draw incorrect conclusions or leverage incomplete information to make a decision. Every person has a bias or an opinion and, while that position may be based on years of experience, we are living in an ever-changing world and business and markets are also changing. So, the conclusions they draw may be flawed if they are based solely on their own experience. With augmented analytics, users can produce graphical representations and tell a story, using data that will lead them to make decisions and recommendations based on metrics and facts.

Encourage Continuous Improvement

When a business makes the decision to integrated augmented analytics into the Tally environment, and provides access to those tools to business users, it can also engender a culture of continuous improvement and encourage team members to explore, discover and use real data and metrics to find ways to improve business processes, identify supplier issues, inventory process changes, and possible tax issues or challenges – all before these trends and patterns become a crucial issue. By encouraging users to go beyond data entry and truly leverage data and metrics to manage the business, the organization can become more agile, engender continuous improvement and ensure that every users is contributing to business success as a vital member of the team.

Improve Time to Market

Your competitors are using augmented analytics in every corner of the organization. When you consider your own business analytics needs, remember that accountants, finance, purchasing managers, inventory professionals and other related roles play a key role in controlling expenses and generating revenue. To be successful today, your business must find those hidden opportunities and issues, wring every drop out of expenses and leverage a myriad of techniques to generate and keep revenue. Identifying when and how to enter the market, how to improve the quality and efficiency of the supply chain, how to capitalize on sales and customer payments and use data and information in creative ways to improve time to market for new products, price points, customer engagement, tax implications, purchasing processes etc.

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These are just a few of the benefits your business will enjoy by integrating augmented analytics with the Tally ERP accounting and finance solution suite.

If your business is using Tally and you want to take your results to the next level, consider SmartenApps For Tally, a solution that provides value out-of-the-box with analytics, dashboards and reports that include an Overview, Sales & Purchase, Bank and Cash, Payables and Receivables, Inventory, Taxes, Cost Center, Ledger, Drill-Down, Accounts Statements, and Reports. For more information about Augmented Analytics and its application in accounting, finance and for Tally, visit our Blog.

Original Post : 4 Benefits of Mobile Analytics for Tally ERP Solution!

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Citizen Data Scientists Have Questions! https://www.elegantjbi.com/blog/citizen-data-scientists-questions.htm https://www.elegantjbi.com/blog/citizen-data-scientists-questions.htm#comments Wed, 20 Oct 2021 14:25:58 +0000 https://www.elegantjbi.com/blog/?p=7801 Continued]]> what-are-the-common-citizen-data-scientist-questionsAnswering Common Questions from Citizen Data Scientist Candidates!

When a business engages its team members and asks them to take on the role of Citizen Data Scientist, there can be many misunderstandings regarding the new role. One of the most common misunderstandings relates to who does what in the role of analytics. Some common questions include:

“Who does the analytics on a day-to-day basis?”

“What if I don’t know how to use analytics software?”

“What does my manager expect me to do with the information I get from the analytics?”

“Am I expected to produce 100% accurate analysis?

“What if I need help?”

Let’s take these questions one at a time:

“Who does the analytics on a day-to-day basis?”

The business user will leverage an augmented analytics system to perform analytics on a daily basis. These analytics should be related to and support the team member’s role in the business. Using augmented analytics and predictive modeling techniques, a team member can combine their domain, industry and professional knowledge to perform analysis that will help them make everyday decisions.

“What if I don’t know how to use analytics software?”

A great augmented analytics solution is designed for users with average technical skills. Auto-recommendations, suggestions and guidance will walk team members through the process and make it easy to use analytics as part of the normal work process. No extensive training is required.

“What does my manager expect me to do with the information I get from the analytics?”

To support a Citizen Data Scientist initiative, the organization and its managers will look to Citizen Data Scientists to use the analytics they perform to make recommendations and suggestions on how to improve the business, how to be more productive, how to be more competitive, etc. With appropriate culture change within the organization, the evaluation and employee assessment process should reward the business user who embraces and uses analytics on a daily basis. This new process ensures that decisions are fact-based and that business users are leveraging metrics to manage day-to-day work.

“Am I expected to produce 100% accurate analysis?

While augmented analytics tools and queries will produce high-quality results, the Citizen Data Scientist should expect to use analytics for daily decisions and, as such, is not focused on strategic initiatives. If and when a user needs to refine analytics to elevate information to a senior executive or to test theories and information gathered from day-to-day analytics, a business analyst or data scientist can take the analytics produced by the business user and perform additional analysis.

“What if I need help?”

With the right deployment and implementation process, IT teams, analysts and ‘champions’ of data analytics will be available for questions. These questions typically occur in the beginning when a Citizen Data Scientist is new to their role and will abate as the business user becomes more comfortable with the analytical tools and techniques and new role.

Our Article, ‘Provide the Right Augmented Analytics Solution and Features for Business Users’ will provide more detail on these augmented analytics tools to support the Citizen Data Scientist role and improve data literacy.

If you are a newly minted Citizen Data Scientist, you don’t have to do this alone! Contact Us to today or Click Here to explore training for Citizen Data Scientists, designed to help you succeed on your Citizen Data Scientist journey.

Original Post : What Are the Common Citizen Data Scientist Questions?

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The Art of the Sales Engineer: Your Secret Weapon for Sales Nirvana! https://www.elegantjbi.com/blog/art-sales-engineer-secret-weapon-sales-nirvana.htm https://www.elegantjbi.com/blog/art-sales-engineer-secret-weapon-sales-nirvana.htm#comments Wed, 20 Oct 2021 08:46:17 +0000 https://www.elegantjbi.com/blog/?p=7795 Continued]]> the-art-of-the-sales-engineer-your-secret-weapon-for-sales-nirvanaIf you work in the IT world (whether in-house or in an IT consulting or IT vendor environment), you have likely been on the receiving end of a sales presentation. Depending on your title and responsibilities, you may even have had to deliver a few of these presentations.

Those of us who have been around for a while can remember when the dreaded software sales presentation was canned and consisted of a restricted demo with a script and an awkward, often frustrating, question and answer session at the close.

If you were on the buying end, you usually didn’t get enough information to make a decision, and the sales team probably didn’t seem too concerned about your unique challenges and needs.

If you were on the selling end of the equation, you probably had your share of frustration as well. Prospective clients didn’t seem to understand the value and uniqueness of your product or services and you were probably caught short on questions that you couldn’t possibly answer because you didn’t truly understand their business.

Fast forward to today’s sales environment and the new, improved sales team.

Sales Engineers, Sales Managers and Sales Professionals come together to build and deliver an engaging, thoughtful and informative presentation that hits the mark! If you have worked with a great Sales Engineer, or managed a sales team with a Sales Engineer, or if you ARE a Sales Engineer, you understand the value of this approach to application and software sales and services.

Today’s sales pitch is not about the amazing hoops your technology can jump through. Rather, it is about how your product can solve problems, and how it fits neatly into the infrastructure, network, hosting, architecture, scalability, performance, user skills, integration, security and technology environment of the client’s organization. The client IT team will expect clear answers from you and it will want you to understand the Enterprise Issues And Challenges and create opportunities for improvement, user satisfaction, great ROI and low TCO. No more canned demos!

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A well trained, innovative Sales Engineer might come from a technical lead position or be a solution or technical architect, or a sales person who has taken the initiative to work with your technical team to build an understanding of the product and the problems the product is designed to address. That person will be able to engage the IT team and the business managers to answer questions at the appropriate level and to help the client team see the vision of how this technology will work in their organization (both at a technical level and in the business user environment). Great Sales Engineers will not wait for the client to bring up issues but will introduce the issue and then, with heads nodding in the room to indicate that the problem is troublesome, she or he will skillfully reveal the solution and address technical concerns, budget and other topics, leaving little room for dissent or complaint.

If you want to be competitive in today’s application and software market, you must provide the Knowledge, Skill And Approach to address the client questions and concerns from every angle and make the sales meeting interactive. No dry demos, no scripted nonsense – EVERY client wants a personalized, thoughtful, informative presentation that will convince them that yours is the right answer to their problem. YOU should want that too, because THAT is the way you close a deal!

Original Post : The Art of the Sales Engineer: Your Secret Weapon for Sales Nirvana!

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Answer Your Business User Concerns About Augmented Analytics! https://www.elegantjbi.com/blog/answer-business-user-concerns-augmented-analytics.htm https://www.elegantjbi.com/blog/answer-business-user-concerns-augmented-analytics.htm#comments Mon, 18 Oct 2021 13:16:54 +0000 https://www.elegantjbi.com/blog/?p=7792 Continued]]> business-users-no-need-for-concern-about-augmented-analyticsUsers Might Think Augmented Analytics is Too Difficult. That’s Not True!

If you are a business manager who wants to enable a Citizen Data Scientist environment, but you find yourself up against resistance, it is often because your business users believe that advanced analytics is just too hard for them to learn and that the use of these types of techniques and systems will slow them down and confuse their otherwise familiar processes.

But, there are plenty of businesses that have initiated this type of process and done so successfully. User resistance can come from multiple issues, but the complaint that the analytics solution they will use is ‘just too hard’ should not be one of them.

With the right analytical solution – namely, an augmented analytics software solution – your team can leverage technology and smart systems to allow users to access and understand analytics without the skills of a business analyst, a data scientist or an IT professional.

These systems are designed specifically for business users and there are two main factors that make it easy-to-use and intuitive.

Machine Learning with Auto-Suggestions

When business users leverage systems and solutions that are designed with Machine Learning capabilities to predict outcomes and analyze data, they can achieve the best fit for analytical techniques and ensure that they use the most appropriate algorithm for the data they wish to analyze. Business users can take advantage of AutoML tools to explore patterns in data and receive suggestions to help them gain insight – all without dependence on IT or data scientists. AutoML is the automated process of features and algorithm selection that supports planning, and allows users to fine tune, perform iterative modeling, and allows for the application and evolution of machine learning models. Machine Learning Algorithms allows the system to understand data and applies correlation, classification, regression, or forecasting, or whichever technique is relevant, based upon the data the user wishes to analyze. It provides valuable auto-suggestions and recommendations to streamline the user process and ensure that business users get what they need. Results are displayed using visualization types that provide the best fit for the data, and the interpretation is presented in simple natural language. This seamless, intuitive process enables business users to quickly and easily select and analyze data without guesswork or advanced skills.

Natural Language Processing

If you stay up-to-date with your industry and market publications, you have probably heard a lot of buzz about natural language processing or NLP. In fact, whether you know it or not, you use NLP every day. When you type a question into Google, you are using NLP! The system translates your question and returns results to meet your needs. When NLP is used in analytics, it can produce the same type of results without the need for a business user to have data science or IT skills. NLP allows team members with average technical skills to create complex searches without endless clicks and complex navigation and commands. Using this type of Search Analytics, users can access and view clear, concise answers and analysis quickly and easily. Your users do not need to scroll through menus and navigation. The business can address complex questions using this simple search capability. And, with the right solution you can take that ease-of-use to the next level by providing your users a contextual flexible search mechanism.

Of course, there is a lot more to the idea of augmented analytics and the design of tools that provide sophisticated functionality and features in a user-friendly environment, but these two factors are key to the ease-of-use aspect of an augmented analytics solution and, together they address many of your business user concerns about a system being ‘too complicated’ for the average user.

If your business wants to leverage Augmented Analytics to achieve powerful, clear, concise results in the business user community and encourage a Citizen Data Scientist initiative, Contact Us today to get started. Explore our Blog to find out more about the benefits and advantages of Augmented Analytics.

Original Post : Business Users: No Need for Concern About Augmented Analytics!

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How to Assure Citizen Data Scientist Success! https://www.elegantjbi.com/blog/assure-citizen-data-scientist-success.htm https://www.elegantjbi.com/blog/assure-citizen-data-scientist-success.htm#comments Mon, 11 Oct 2021 18:05:56 +0000 https://www.elegantjbi.com/blog/?p=7788 Continued]]> make-sure-your-citizen-data-scientists-succeedEnterprise Culture Change Assures Success of Citizen Data Scientist Initiatives!

Many businesses have embraced the Gartner prediction that transforms business users into Citizen Data Scientists to help organizations democratize analytics with simple tools that will improve the quality and timeliness of decisions. You can read white papers, industry articles and other publications that will support and articulate this approach to business flexibility, agility and success. But, if you do not embrace the culture change required to deploy this strategy across your enterprise, your Citizen Data Scientist initiative will not succeed.

Simply announcing this initiative is not enough. In order to make this work you must provide support, training and a patient approach to engaging users, managers, HR and all other team members. You must offer augmented analytics tools that are designed for business users and will not require extensive training to enable user adoption. You must reward the use of analytics in staff meetings, in user recommendations for changes to work processes, products, services or other things that affect business success. In other words, give your users and managers a reason to adopt and leverage these tools (a reason beyond the fact that it is the right thing to do for the business). Make it worth their while.

Courses that provide a foundation for Citizen Data Scientists will ensure an understanding of the new role of Citizen Data Scientist and how business users will now utilize analytics to do their job, how and when they will collaborate with data scientists, IT or business analysts, the types of analytical techniques they will use and the basics of how to leverage these techniques within the confines of the augmented analytics solution you provide.

Without the right augmented analytics tool and the support of the organization, without a shift in the culture to encourage the use of analytics across all roles, a Citizen Data Scientist initiative cannot succeed!

If your business wishes to get started on the Citizen Data Scientist journey, it can find the tools and support it needs here: Online Citizen Data Scientist TrainingWorkshopsAugmented Analytics Designed For Business Users.

Original Post : Make Sure Your Citizen Data Scientists Succeed!

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Can Integrated Analytics Help Tally ERP Users? https://www.elegantjbi.com/blog/integrated-analytics-tally-erp-users.htm https://www.elegantjbi.com/blog/integrated-analytics-tally-erp-users.htm#comments Thu, 07 Oct 2021 14:11:08 +0000 https://www.elegantjbi.com/blog/?p=7781 Continued]]> analytics-will-elevate-the-value-of-tally-erpIntegrate Sophisticated Analytics and User-Friendly Tools with Tally ERP!

Tally ERP business users are familiar with the tools and modules provided and use these tools daily for accounting, inventory control, purchasing and supplier management tasks and finance-related activities. Users perform data entry and reporting. But, what if your business users could take the information within this system and use it to spot trends, identify patterns, make recommendations and suggestions to the business units and add crucial value in managing every aspect of expenses, revenue and tax implications within the business environment?

By integrating easy-to-use analytics with Tally, the average business users can enjoy built-in tools and in-depth reporting and go beyond standard, restrictive reports to gain insight into those issues that will become problems and into the opportunities that will help the business to expand, streamline and become more competitive and productive.

These tools are not designed for data scientists. They are designed for professionals who wish to combine their industry and career knowledge with sophisticated analytical tools in a user-friendly technology environment. The purpose of the tools is to elevate the value of the Tally ERP solution and to engender collaboration and a focus on the more strategic, operational and targeted use of data to make fact-based decisions and to sift through the data to find those important nuggets of information that will drive business success.

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If you are a Tally user, you can leverage powerful analytical tools to add value to your organization and take a proactive role in results. Your business can evaluate the solution for free. Find out more about SmartenApps For Tally analytics. Contact Us to today to find out how SmartenApps for Tally can help you achieve your goals.

Original Post : Analytics Will Elevate The Value Of Tally ERP!

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Business Users Need Personalized BI Tools & Dashboards! https://www.elegantjbi.com/blog/business-users-personalized-bi-tools-dashboards/ https://www.elegantjbi.com/blog/business-users-personalized-bi-tools-dashboards/#comments Tue, 05 Oct 2021 08:08:55 +0000 https://www.elegantjbi.com/blog/?p=7777 Continued]]> personalized-dashboard-bi-tools-for-every-userFlexible Dashboard Software Can Deliver Business Intelligence to Business Users!

When I speak to friends and colleagues about reaping the benefits of business intelligence, they are often frustrated by the inability to a) access data and build reports and insight without the assistance of IT or analysts or b) access tools that allow them to use a BI tool or solution in a way that is meaningful to them. In other words, they either have NO access to business intelligence tools or they have access but those BI tools are restrictive and provide no flexible, agile way to gather, see and analyze data for the type of role they perform within the organization.

If your business does not provide access to business intelligence for team members, the absence of data democratization will result in a lack of empowerment and accountability for decisions and recommendations. If your business DOES provide access to BI tools, but business users have no ability to personalize dashboards or their approach to analytics based on their need, you are restricting them to views, reports and analytical methods that are dictated by an IT team, a consultant or an analyst or data scientist. Because no one but the user understands the particular need or requirements for data, how the data will be used to make a decision or what types of alerts and reports will benefit the user’s role and responsibilities on a daily basis, there is no way the business can accommodate every team member and every ‘day in the life of’ a team member to make sure they have what they need.

Choosing a BI self-serve, mobile business intelligence suite that is suitable for every size enterprise, business function and business user is imperative. You will want a variety of tools and sophisticated features and functionality in an easy-to-use environment to support and transform your business users into Citizen Data Scientists. It is important to provide flexible tools that allow users to personalize dashboards, monitor, analyze and present data. The right BI tool is 100% browser based, with a unique ‘Design once, Use anywhere’ UI engine that ensures a seamless user experience across desktops, tablets and mobile devices. These tools allow business users to design personalized dashboards in minutes, without knowledge of any programming or SQL queries and users can enjoy clear, concise visualizations, alerts for exceptions and trends, and deep dive analysis using highly interactive dashboards.

If you want your business users to promote, collaborate and adopt the use of data and business intelligence, it is important to provide a strong Modern Business Intelligence foundation designed to support your Business Function, Your Existing Business Applications and the unique needs of your industry. Visit our Blog to find out more about how to encourage the use of BI tools and Personalized Dashboards within your team.

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Case Study – Smarten Augmented Analytics Implementation for India Transformer Manufacturing Co. for IOT Sensor Data Analytics https://www.elegantjbi.com/blog/case-study-smarten-augmented-analytics-implementation-india-transformer-manufacturing-iot-sensor-data-analytics.htm https://www.elegantjbi.com/blog/case-study-smarten-augmented-analytics-implementation-india-transformer-manufacturing-iot-sensor-data-analytics.htm#comments Thu, 30 Sep 2021 16:37:27 +0000 https://www.elegantjbi.com/blog/?p=7748 Continued]]> The Client business focus is in the fastest growing business sector in the India market, with a market value of US$ 3.5 Billion. The group is comprised of fifteen companies managing diverse business interests in Automotive Tires, Infrastructure, IT and Specialty markets including Pharmaceuticals, Power Ancillaries and Plantations.

The Smarten solution and the Smarten team helped the Client to support its users with tools to analyze important data and identify overall production performance, and monitor the financial impact of loss hours and non-dispatch on the organization. The Smarten solution allows the Client team to measure tactical and operational results at a summary level and at a detailed level with respect to production stages, delay contributors, operators etc.

With the Smarten solution foundation and the skills and support of the Smarten team, the Client has achieved its goal of plant performance monitoring. The Smarten augmented analytics intuitive interface allows users to make the most out of available data and effectively manage production counts, equipment efficiency, operator efficiency etc. This project implementation allows the Client to track their production performance to reduce unplanned downtime and increase the delivery satisfaction index without compromising on the quality standards.

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Factors and Considerations Involved in Choosing a Data Management Solution! https://www.elegantjbi.com/blog/factors-considerations-involved-choosing-data-management-solution.htm https://www.elegantjbi.com/blog/factors-considerations-involved-choosing-data-management-solution.htm#comments Thu, 30 Sep 2021 08:16:45 +0000 https://www.elegantjbi.com/blog/?p=7731 Continued]]> factors-and-considerations-involved-in-choosing-a-data-management-solutionWhen a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future.

In the first article in our two-part series, entitled, ‘Data Warehouse, Data Lake, Data Mart, Data Hub: A Definition of Terms’, we defined the terms and differences in the market so that businesses can better understand the possibilities of Data Warehouses, Data Marts, Data Lakes and Data Hubs.

In this article, we will present the factors and considerations involved in choosing the right data management solution for your business.

 

Data Volume, Transformation and Location

Data Warehouse

Datawarehouses (DWH) typically serve the entire organization and may have several Data Marts combined within the DWH to serve individual business units or departments (see Data Marts below for more information). A Data Warehouse usually handles a very large volume of data and stores highly transformed, structured data from disparate sources within a structured environment.

  • Suitable For: Large volumes of data, integration of data sources, data sources do not change often. Is typically used by IT, MIS, data scientists and business analysts.
  • Advantages: Can handle storage and manipulation of a great deal of data coming from various types of data sources. Is comprised of curated, pristine quality data meant to serve as a single version of truth for the organization.
  • Limitations: Can typically only be used by trained professionals that have programming skills, SQL knowledge and/or can execute sophisticated queries and use data extraction, transformation and loading (ETL) tools or techniques.

Data Mart

A Data Mart is usually a subset of a data warehouse and for some organizations, will function as a staging repository for data sources to make data from specific sources accessible to users in a specific department or business unit, making it easier for them to find and analyze data with better scalability and performance.

  • Suitable For: Use by business units, departments or specific roles within the organization that have a need to analyze and report and require high quality data and good performance.
  • Advantages: Can provide secured access to data required by certain team members and business units.
  • Limitations: Requires appropriate structuring and data access provided by IT or data scientists to enable the business user to easily access and use the data. Limitations of the Data Mart are similar to the Data Warehouse.

Data Lake

A Data Lake can accommodate a very large volume of data and will act as a repository for operational data in near-source format. The data within a Data Lake can be used by a Citizen Data Scientist, Data Scientists, MIS and power users, and IT with appropriate tools for analysis and data preparation.

  • Suitable For: Large volumes of data, integration of data sources, used by IT, MIS, data scientists and Citizen Data Scientists.
  • Advantages: Can handle storage and manipulation of a great deal of data coming from various types of data sources. Not tied to specific structures for the complex transformations of data sources and, in this respect, is more flexible than a Data Warehouse.
  • Limitations: Can be used by IT, Data Scientists or Citizen Data Scientists using appropriate analytical tools and self-serve data prep tools to review, analyze and report on operational source data in original form or semi transformed form. Requires appropriate structuring and data access provided by IT or data scientists to enable the business user to easily access and use the raw operational data rather than highlight transformed, and aggregated data.

Data Hub

A Data Hub is used to process, transform and govern data and may be used for large volumes of data. It acts as a bridge between data sources and provides a layer of data governance and data transformation in between the data sources.

  • Suitable For: Large volumes of data, organizations that require good data governance and integration of data sources, use by IT, MIS, data scientists and business analysts.
  • Advantages: Can handle governance and data quality of a great deal of data coming from various types of data sources.
  • Limitations: Can be used by IT and ETL experts to maintain integration, quality and governance across application and data stores across the enterprise.
factors-and-considerations-involved-in-choosing-a-data-management-solution-infographic

 

Intended Use of Data

Data Warehouse

Curated, highly transformed data with pristine quality. Created by IT and Data Warehouse professionals, and used by IT and analysts to build reports, visualizations, business intelligence and analytics objects. Data stored within the Data Warehouse is intended to serve as one source of data and ‘truth’ across the enterprise.

Data Mart

Curated, highly transformed data with pristine quality. Created by IT and Data Warehouse professionals, and used by IT and analysts to build reports, visualizations, business intelligence and analytics objects.  Typically intended for business units, departments or specific groups of users to contain and manage their applications and domain.

Data Lake

Created and maintained by IT staff and data engineers. Gives access to raw operational data in original or semi transformed form. Used by Citizen Data Scientists, Data Scientists, Analysts and MIS team members.

Data Hub

Created, maintained and used by IT, data engineers, and integration teams to ensure data governance and quality across various data sources and repositories.

Budget, Timeline and Required Skills

Data Warehouse

Because a Data Warehouse typically houses structured, curated data from many sources across the enterprise, the cost and timeline for implementation will be greater. The enterprise must have the skills and tools to perform data extraction, transformation and loading (ETL) and, because business data and data source formats and applications change quickly, the datawarehouse is likely to undergo continuous upgrade and changes.

Data Mart

A Data Mart is a smaller initiative for a business unit or group of users within the organization, and can be built more quickly but the cost and timeline for deployment will depend on the number of data sources, the required data transformation and structuring and issues related to the changing nature of the data source. It will require expert maintenance.

Data Lake

A Data Lake typically houses operational data in original or near-source format data from many sources across the enterprise, so the cost and timeline for implementation will be greater as it is intended to cover all applications and data sources across the organizations. The enterprise must have the skills and tools to perform data extraction, transformation and loading (ETL) and, because business data and formats change quickly, the Data Lake environment is like to undergo continuous upgrade and changes, but these changes are simpler than the Data Warehouse or Data Mart environment as data is stored in near-source formats, making it easier to add new applications or data sources to the Data Lake

Data Hub

The cost and the length of time for development and deployment of Data Hub will depend on the number of data sources and the required degree of transformation required for the quality and governance layers. Factors that will affect the schedule and cost also include the established policies, data volume and required scalability and performance as well as data security and government, and integration of multiple data sources etc. The team will require specialized skills to create and sustain the Data Hub for use by those in the business community.

No matter which option the business chooses as the best fit, when an enterprise undertakes a project of this import and scale, it will need to plan its approach in one of the following ways:

a)  Dedicate a skilled and dedicated team of IT staff and data engineers to create and maintain the solution and accommodate upgrades and changes.

b)  Engage an IT consultant to help the business select the right solution, develop the structure and overlay reporting or analytical tools to provide the best access and data governance and then hand the solution off to the business to maintain

c)   Leverage a joint project team, comprised of internal IT and/or analysts and an IT consulting partner to take the project from concept to execution and work together to maintain and upgrade the solution as and when required.

If you wish to review the definition and differences among the various Data Management options (Data Warehouses, Data Marts, Data Lakes and Data Hubs), you can refer to the first article in this two-part series, entitled, ‘Data Warehouse, Data Lake, Data Mart, Data Hub: A Definition of Terms’, we defined the terms and differences in the market so that businesses can better understand the possibilities of Data Warehouses, Data Marts, Data Lakes and Data Hubs.

Original Post : Factors and Considerations Involved in Choosing a Data Management Solution!

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Case Study – Smarten Augmented Analytics OEM Partnership for Healthcare Informatics Solutions Company https://www.elegantjbi.com/blog/case-study-smarten-augmented-analytics-oem-partnership-healthcare-informatics-solutions-company.htm https://www.elegantjbi.com/blog/case-study-smarten-augmented-analytics-oem-partnership-healthcare-informatics-solutions-company.htm#comments Tue, 28 Sep 2021 20:09:40 +0000 https://www.elegantjbi.com/blog/?p=7745 Continued]]> This Partner is a global healthcare informatics solutions company. The Partner healthcare solutions are used by Hospitals, Diagnostic Centres and Specialty Clinics among others. Their solutions have benefited over 500+ healthcare organizations globally.

Partner required augmented analytics and reporting capability integrated with its Healthcare Information system to improve productivity and the quality and accessibility of crucial data, and it wished to engage in an OEM partnership to provide easy-to-use dashboards for use by all of its end users using the selected Partner solution. Smarten provided a comprehensive set of reporting and analytics tools, e.g., revenue earned analytics, patient admission and discharge analysis, ward Management, lab management – all as interactive self-serve reports, including dashboards, KPIs, Graphical Analysis and more.

The integration of augmented analytics with its proprietary Healthcare Information System enabled the Partner to improve its end user satisfaction, market credibility and recognition across the healthcare industry. The integration of interactive Dashboards with the Healthcare Information System provided a competitive advantage and enabled the Partner to better leverage its data and operate more efficiently thereby increasing revenue and allowing the Partner to add and effectively support more end users.

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Smarten Support Portal Updates – September – 2021! https://www.elegantjbi.com/blog/smarten-support-portal-updates-september-2021.htm https://www.elegantjbi.com/blog/smarten-support-portal-updates-september-2021.htm#comments Tue, 28 Sep 2021 10:16:13 +0000 https://www.elegantjbi.com/blog/?p=7707 Continued]]> smarten-support-portal-updates-september-2021We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. UDDC Expressions : Making use of Case statements (IfCase, When-Then)
  2. UDDC Expressions : Making use of Date functions
  3. UDDC Expressions : Making use of Arithmetic functions
  4. UDDC Expressions : Making use of Cell references
  5. General: Handling UTF Encoding for Metadata database

Forum Topics

  1. General: Smarten meta-data such as object title, object properties, etc. with special characters are not displayed properly in Smarten. How to make them work?
  2. SSDP: How can the database query processing time be improved while working on a dataset?

Usecases

  1. How to derive the recently purchased city of each customer from daily customer transactions from various cities

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

Original Post : Smarten Support Portal Updates – September – 2021!

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Improve Your Team Value with Analytics for Tally Solutions! https://www.elegantjbi.com/blog/improve-team-analytics-tally-solutions.htm https://www.elegantjbi.com/blog/improve-team-analytics-tally-solutions.htm#comments Tue, 28 Sep 2021 08:01:56 +0000 https://www.elegantjbi.com/blog/?p=7697 Continued]]> add-value-and-insight-to-tally-erp-with-augmented-analyticsAre You Using Tally Solutions? Add Value by Integrating Augmented Analytics!

As a corporate accounting professional or an enterprise financial professional, purchasing manager, inventory manager or any other team member working in a financial capacity in an organization, you can make a difference! You may think that your impact is limited to ensuring correct data entry, providing statutory reports and perhaps pointing out budget overruns or other day-to-day issues.

If you are using a Tally ERP solution, your team can include augmented analytics as an integrated tool that will overlay your modules and allow you to gather, combine and analyze data to gain insight into trends, patterns, problems looming on the horizon or opportunities to improve supply chain, inventory controls, investments, etc.

Your role as a team member can be proactive. With the right information, you can spot issues and collaborate with other professionals on the team to create a comprehensive approach to workflow and approval processes that will improve results, control costs and allow managers and executives to sleep better at night!

add-value-and-insight-to-tally-erp-with-augmented-analytics-screenshot

Augmented Analytics tools allow business users with average technical skills to see and create reports for sales, purchasing, payables, receivables, income and expenses, cash and bank, duties and taxes with top and bottom analysis, contribution analysis and key performance indicators (KPIs). Users can analyze monthly sales, identify top customers and see detailed sales registers, and can compare results from previous periods and reveal trends and patterns in banking and cash. Without the assistance of IT or data scientists, you can breakdown payables and receivables by creditors, debtors, products, services and collections and analyze inventory for shortfalls or overages. There are tools to allow you to examine taxes, estimate upcoming tax obligations, and to analyze cost center balances and associated ledgers, including entries and balances and drill-down to voucher level. Accountants can leverage statutory tools for balance sheets, trial balance, profit and loss and there are other reports and drill-down tools that allow users to slice and dice by vendor, product, service, cost, sales person, location, customer, inventory, purchase, etc.

If you are a Tally user, you can leverage these powerful tools to add value to your organization and take a proactive role in results. AND you can evaluate the solution for free, and determine the business benefits. Find out more about SmartenApps for Tally analytics. Contact Us to today to find out how SmartenApps for Tally can help you achieve your goals.

Original Post : Add Value and Insight to Tally ERP with Augmented Analytics!

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What Is Multilayer Perceptron Classifier And How Is It Used For Enterprise Analysis? https://www.elegantjbi.com/blog/multilayer-perceptron-classifier-enterprise-analysis.htm https://www.elegantjbi.com/blog/multilayer-perceptron-classifier-enterprise-analysis.htm#comments Thu, 23 Sep 2021 20:28:35 +0000 https://www.elegantjbi.com/blog/?p=7687 Continued]]>

This article describes the analytical technique of multilayer perceptrons for classification.

What is a Multilayer Perceptron Classifier?

Multilayer perceptron (MLP) is a technique of feed-forward artificial neural networks using a back propagation learning method to classify the target variable used for supervised learning.

MLP’s can be applied to complex non-linear problems, and it also works well with large input data with a relatively faster performance. The algorithm tends to achieve the same accuracy ratio even with smaller data.

Let’s look at an example of Multilayer perceptron analysis, involving the potential for opportunity results, based on factors like Revenue, Total days(qualified), Total

example-multiple-perceptron-classifier

How is a Multilayer Perceptron Classifier Used in Analysis?

Let’s look at two use cases where a Multilayer Perceptron Classifier might be applied and how it would be useful to the organization.

Business Use Case 1

Business Problem: Predict employee attrition.
Identifying the important factors that lead to employee attrition.

Target/dependent variable:

  • Attrition

Predictor/independent variables:

  • Overtime
  • Monthly Income
  • Total Working Years
  • Stock Option Level
  • Relationship Satisfaction

Business Benefit:

The predictive model will help us identify various factors that affect the resignation or retirement decisions made by the employee. This will help the company identify the criteria it needs to work on to retain employees in the company.

Business Use Case 2

Business Problem: Predicting medication type needed for patients in a hospital.
Identifying the right type of medication/treatment for various patients admitted in the hospital.

Target/dependent variable: 

  • Target (Drug, Solo Insulin)

Predictor/independent variables:

  • Time Spent in Hospital
  • Number of  Medications
  • Number of  Procedures
  • Patient’s Weight
  • Medical Specialty Ward

Business Benefit:

Filtering through the most important factors of a patient’s diagnosis to help choose the most appropriate type of medication (Drug, Solo Insulin) for the patient.

About Smarten

The Smarten approach to augmented analytics and modern business intelligence focuses on the business user and provides tools for 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 PreparationClickless Analytics with natural language processing (NLP) for search analyticsAuto InsightsKey Influencer Analytics, and SnapShot monitoring and alerts. These tools are designed for business users with average skills and require no specialized knowledge of statistical analysis or support from IT or data scientists. Businesses can advance Citizen Data Scientist initiatives with in-person and online workshops and self-paced eLearning courses designed to introduce users and businesses to the concept, illustrate the benefits and provide introductory training on analytical concepts and the Citizen Data Scientist role.

The Smarten approach to data discovery is designed as an augmented analytics solution to serve business users. Smarten is 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: What Is Multilayer Perceptron Classifier And How Is It Used For Enterprise Analysis?

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Discover Key Influencer Analytics and Improve Your Biz! https://www.elegantjbi.com/blog/discover-key-influencer-analytics-improve-biz.htm https://www.elegantjbi.com/blog/discover-key-influencer-analytics-improve-biz.htm#comments Thu, 23 Sep 2021 11:42:25 +0000 https://www.elegantjbi.com/blog/?p=7681 Continued]]> can-key-influencer-analytics-improve-my-business-resultsWhat Are Key Influencer Analytics and Why Should My Business Care?

Do you know what Key Influencer Analytics are? If not, you should! One of the most frustrating tasks a business user has in analytics is finding and gathering the right data for analysis and ensuring that all factors, variables and data that may affect the outcome of the analysis is included. That is why these activities are typically performed by Data Scientists, analysts or IT in many organizations. Without the ability to identify the right variables, and determine the relationships among these variables and business success, the business is likely to measure and attend to the wrong things.

Key Influencer Analytics provides the perfect solution to this problem!  Using these tools the business user can point to a dataset you want to analyze and identify the target and the influencers or predictors that will affect the target, along with its impact and it provides crucial metrics such as mean, outliers, and others and identifies relationship and distribution among variables. These tools will also auto-suggest relationships and present distribution and impact using the most appropriate visualization

Business users don’t need advanced skills to enjoy interactive features that allow them to see and explore other combinations and impacts and can select target and predictors, and use them for models, reports or KPIs.

Leverage the power of Key Influencer Analytics and discover the relationships, connections and impact hidden in your data. Solve problems and capitalize on opportunities in your market.

Original Post : Can Key Influencer Analytics Improve My Business Results?

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What Is Generalized Linear Regression with Gaussian Distribution And How Can An Enterprise Use This Technique To Analyze Data? https://www.elegantjbi.com/blog/generalized-linear-regression-gaussian-distribution-enterprise-technique-analyze-data.htm https://www.elegantjbi.com/blog/generalized-linear-regression-gaussian-distribution-enterprise-technique-analyze-data.htm#comments Tue, 21 Sep 2021 14:19:31 +0000 https://www.elegantjbi.com/blog/?p=7667 Continued]]>

This article describes the analytical technique of generalized linear regression with gaussian distribution.

 

What is Generalized Linear Regression with Gaussian Distribution?

The Generalized Linear Model (GLM) Regression is a flexible generalization of ordinary linear regression that allows for response variables that have error distribution models other than a normal distribution. GLM with gaussian Distribution is a model with low complexity where the response variables exhibit gaussian exponential distribution form.

Generalized linear regression is limited to predicting numeric output so the dependent variable has to be numeric in nature.

To have a better understanding of this algorithm, let’s look at one such analysis on loan eligibility to identify whether or not the amount is eligible for loan application based upon various influencing factors.

Example-Isotonic-Regression

How Can Generalized Linear Regression with Gaussian Distribution Be Helpful for Business Analysis?

If we consider the use cases below, we can see the value of Generalized Linear Regression with gaussian distribution analysis.

Business Use Case 1

Business Problem: Product’s Profit Prediction
Identifying the profit made by each product based upon various factors like its total revenue, number of units sold, region of sale etc.

Target/dependent variable:

  • Total Profit

Predictor/independent variables:

  • Total Revenue
  • Units Sold
  • Region
  • Total Cost

Business Benefit:

The predictive model will help us identify, profit on different products based on the sales, region and other cost factors.

Business Use Case 2

Business Problem: Student’s Chance Of Admission Prediction
To determine a student’s chance to get admission based on certain educational scores and factors.

Target/dependent variable:

  • Chance of Admit

Predictor/independent variables:

  • CGPA
  • GRE Score
  • LOR
  • TOEFL Score

Business Benefit:

Using generalized linear regression, we can determine, to what extent a person qualifies to get an admission based on various educational factors. This eases the entire process of admission and allows the most eligible students to be selected.

About Smarten

The Smarten approach to augmented analytics and modern business intelligence focuses on the business user and provides tools for 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 PreparationClickless Analytics with natural language processing (NLP) for search analyticsAuto InsightsKey Influencer Analytics, and SnapShot monitoring and alerts. These tools are designed for business users with average skills and require no specialized knowledge of statistical analysis or support from IT or data scientists. Businesses can advance Citizen Data Scientist initiatives with in-person and online workshops and self-paced eLearning courses designed to introduce users and businesses to the concept, illustrate the benefits and provide introductory training on analytical concepts and the Citizen Data Scientist role.

The Smarten approach to data discovery is designed as an augmented analytics solution to serve business users. Smarten is 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: What Is Generalized Linear Regression with Gaussian Distribution And How Can An Enterprise Use This Technique To Analyze Data?

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What Is Random Forest Classification And How Can It Help Your Business? https://www.elegantjbi.com/blog/random-forest-classification-business.htm https://www.elegantjbi.com/blog/random-forest-classification-business.htm#comments Sun, 19 Sep 2021 19:53:27 +0000 https://www.elegantjbi.com/blog/?p=7661 Continued]]>

This article provides a brief overview of random forest classification technique.

What is Random Forest Classification?

The Random Forest Classification model constructs many decision trees wherein each tree votes and outputs the most popular class as the prediction result.

Random Forest Classification output helps identify important factors impacting the dependent variable and the nature of relationship between each of these factors and dependent variable. Random Forest Classification is limited to predicting categorical output so the dependent variable has to be categorical in nature. The minimum sample size is 20 cases per independent variable.

To further clarify the use of the Random Forest Classification model, let’s look at a sample customer churn analysis to predict the likelihood of customers to churn based upon important factors.

example-random-forest-classification

How Can Random Forest Classification Be Helpful for Business Analysis?

Explore the use cases below, to better understand the value of Random Forest Classification.

Business Use Case 1

Business Problem: Predict loan default.

Based on the historical data related to credit card payments, loan payments, existing loan status, job status we want to classify/divide the customers into defaulters and non defaulters.

Target/dependent variable:

  • Default Status

Predictor/independent variables:

  • Home ownership status
  • Existing loan status
  • Occupation
  • Account Balance

Business Benefit:

The predictive model will help us identify whether a customer fails to repay the loan depending on certain factors, which would lead to easier identification of risky customers and help the bank avert the risk delinquencies.

Business Use Case 2

Business Problem: Predict quality of Red Wine.

The data is a result of analysis to determine the quality of the red wine based upon chemicals it consists of.

Target/dependent variable:

  • Quality category

Predictor/independent variables:

  • Citric Acid
  • Density
  • Residual Sugar
  • Chlorides

Business Benefit:

Using random forest classification, we can determine the quality of red wine (high, low) based upon its influential chemical attributes.

About Smarten

The Smarten approach to augmented analytics and modern business intelligence focuses on the business user and provides tools for 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 PreparationClickless Analytics with natural language processing (NLP) for search analyticsAuto InsightsKey Influencer Analytics, and SnapShot monitoring and alerts. These tools are designed for business users with average skills and require no specialized knowledge of statistical analysis or support from IT or data scientists. Businesses can advance Citizen Data Scientist initiatives with in-person and online workshops and self-paced eLearning courses designed to introduce users and businesses to the concept, illustrate the benefits and provide introductory training on analytical concepts and the Citizen Data Scientist role.

The Smarten approach to data discovery is designed as an augmented analytics solution to serve business users. Smarten is 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: What Is Random Forest Classification And How Can It Help Your Business?

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Too Busy to Monitor Results? Augmented Analytics Can Help! https://www.elegantjbi.com/blog/busy-monitor-results-augmented-analytics-help.htm https://www.elegantjbi.com/blog/busy-monitor-results-augmented-analytics-help.htm#comments Fri, 17 Sep 2021 08:52:40 +0000 https://www.elegantjbi.com/blog/?p=7639 Continued]]> stay-on-track-with-augmented-analytics-insight-and-alertsWith Augmented Analytics Tools You Can Gain Insight and Track Business Results!

If you own or work in a business, you know that, while you are busy doing what you do on a daily basis, things can change. The change itself is challenging but what is more challenging is staying abreast of what is changing, where it is changing and how it is impacting the business. If you aren’t aware of the change, things can sneak up on you. Your business can get off track and, if you aren’t aware of that misstep, you risk greater loss as time goes by. At the same time, the changes that occur that might provide a market opening or an opportunity can also fall by the wayside if you are not paying attention.

At this point, you are probably thinking that staying abreast of these changes is nearly impossible, given the hundreds of other things on which your team must focus in order to keep the business running. The good news is that the business does not have to sacrifice agility or focus in order to monitor and manage the ever-changing business landscape.

With augmented analytics, business users with average technical skills, can monitor and track results, trends and patterns and understand anomalies and issues without hiring a team of data scientists or adding resources. These tools support the evolving role of Citizen Data Scientists so business users can to gather information, establish metrics and key performance indicators (KPIs), identify crucial volatility and anomalies, and receive auto-suggestions and information to clearly identify the root cause of problems and target opportunities. Business users can identify key influencers and variables that affect targets, customers, competitive positioning, etc.

This process does not require business users to constantly check results. Rather, it allows the team to establish KPIs and targets and set alerts so that automated reports and email are pushed to the team. These alerts include graphics and visuals to tell the story and help the business user quickly and easily understand what is happening so no one is wasting time!

The team can solve problems by understanding what has changed and the cause of the problem, and they can identify opportunities to improve performance. Users can detect anomalies, increases, decreases, volatility and trends for the targeted KPIs and, more importantly, understand the reasons for these issues, trends and patterns.

If your business wants to gain valuable insight into the changing business environment and address challenges and opportunities quickly, your team can leverage Smarten SnapShotAuto Insights and Key Influencer Analytics. These tools enable business users to quickly establish key performance indicators (KPIs) and personalized alerts and reports to monitor and measure results with powerful, clear, concise results that help users to understand and manage the variables that impact their targets and their results. Contact Us today to get started.

Original Post : Stay on Track with Augmented Analytics Insight and Alerts!

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Software Demos that Say, ‘I Hear You’​ https://www.elegantjbi.com/blog/software-demos-say-hear.htm https://www.elegantjbi.com/blog/software-demos-say-hear.htm#comments Tue, 14 Sep 2021 20:11:12 +0000 https://www.elegantjbi.com/blog/?p=7647 Continued]]> Software-Demos-that-Say-I-Hear-You_11zonThis article is really targeted to business teams and managers who are responsible for establishing the software demo process and guidelines within an organization. While my advice definitely affects those who give the demos, my experience has been that those who demonstrate software are usually following a scripted process established by someone else. That is why I am targeting the demo designers here!

When you set out to develop a software demo, you often look for consistency and uniformity, with the idea that you want to ensure that every customer gets a good sense of what the product can do. We want to show all the features and functionality, right?

But, that isn’t what a customer wants.

What is really important is that a particular prospective customer sees and hears things that resonate with them.
If your demo doesn’t show them how to solve their problems, make life easier or satisfy users, you won’t make the sale.

A good software demo is crucial to a sale.

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If the customer can’t see themselves using your product, there is nothing else to talk about. So…to close the sale, you need first to understand how your product will satisfy your customer. That means, you need to understand your customer’s problems and issues. If you don’t spend enough time talking to your prospect, you won’t make the sale. You have to understand business goals, existing processes, macro factors affecting their business, business user skills, opportunities for growth and change that will improve the bottom line…in short, you need to KNOW your prospect.

Some software companies send out a questionnaire, some take their prospective clients out to lunch or dinner before the demo and pick their brain to find out about their current solutions, their hot buttons and other things that will help them design and plan the demo. If you develop a good set of questions, and ask those questions in person, you can tell a lot about the priorities and painful issues in the organization just by reading body language and facial expressions.

Every word and phrase you use during the demo must tell the prospective client that you were listening and that you understand their pain. You can quote the customer and then proceed to show them how a particular feature resolves their issue or makes their life easier.

Don’t try to show them EVERYTHING.

Show them the things that will make a big impression. You can leave them with brochures and other written information to outline every feature and function. Your one-on-one time should be personal, and targeted to what they need. You want them to KNOW that you heard them and that you have a solution.

You can see that a ‘canned’ demo isn’t going to get you far, can’t you? It might be uniform and it might ensure that every sales person shows every feature deemed important by the organization but it won’t sell much software. Send your new sales people out with a seasoned pro and let them see how they approach the customer, find out what matters to them and then incorporate that information into the demo. Make sure every person on your demo team understands the value of personalizing and creating a one-of-a-kind demo JUST for that client.

We all want to feel that we are understood, that the person we are talking to has heard us and cares enough to help us. That is the foundation of a good demo!

Original Post : Software Demos that Say, ‘I Hear You’​!

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Employ BI Tools and Augmented Analytics for Business Users https://www.elegantjbi.com/blog/employ-bi-tools-augmented-analytics-business-users.htm https://www.elegantjbi.com/blog/employ-bi-tools-augmented-analytics-business-users.htm#comments Sun, 12 Sep 2021 19:50:40 +0000 https://www.elegantjbi.com/blog/?p=7644 Continued]]> succeed-with-bi-tools-and-augmented-analyticsBusiness Intelligence and Augmented Analytics Go Hand in Hand!

Business Intelligence is mandatory! Without intelligence you have no insight into your customer buying behavior, your competition or your organization. In order to achieve business intelligence in today’s environment, you need modern BI tools and augmented analytics that is suitable for your business users.

Your team does not have time to wait for crucial reports or insight when they have to make daily, operational and strategic decisions. The IT team and business analysts do not have the time to field and respond to every business user request and, even if they did, if they are gathering information from various sources and manually analyzing data, it is likely to be out-of-date or incomplete. If they do have an integrated source of data, the reports and requests may still reap little or no benefit. Requests can often fail to consider all the aspects of the situation and that will require a repeat request and more waiting.

When you give your business users business intelligence and augmented analytics tools, you allow them to ask a simple question and get a simple answer – using information from integrated data sources in a simple environment. And, if users think of another question they need to answer, they don’t have to wait for someone else to satisfy the request.

Business Intelligence tools include personalized dashboards to monitor and analyze and allow users to establish key performance indicators (KPIs), dive deep into data to discover the root cause of problems, and engender social business intelligence by sharing data and collaborating with other users. Augmented Analytics enables Smart Data Visualization, Self-Serve Data Preparation and Predictive Analytics and every tool and feature is easy enough for business users to adopt and embrace.

If you want to make encourage your business users to employ data analytics and improve the quality of decisions and shared information, Contact Us to get started with Modern Business Intelligence and Augmented Analytics tools.

Original Post : Succeed with BI Tools and Augmented Analytics!

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What is Isotonic Regression and How Can a Business Utilize it to Analyze Data? https://www.elegantjbi.com/blog/isotonic-regression-business-utilize-analyze-data.htm https://www.elegantjbi.com/blog/isotonic-regression-business-utilize-analyze-data.htm#comments Thu, 09 Sep 2021 19:02:04 +0000 https://www.elegantjbi.com/blog/?p=7653 Continued]]>

This article provides a brief overview of isotonic regression technique.

What is Isotonic Regression?

Isotonic Regression is a variant of linear regression and allows us to build models in piecewise linear manner i.e., breaking up the problem into few or many linear segments and performing linear interpolation of each function.

This analytical technique is designed to explore the relationship between two or more variables (X, and Y). It is useful in identifying important factors (Xᵢ) that will impact a dependent variable (Y), and the nature of the relationship between each of the factors and the dependent variable.

Isotonic Regression is limited to predicting numeric output so the dependent variable has to be numeric in nature. The minimum sample size is 20 cases per independent variable.

In order to get a comprehensive understanding of Isotonic Regression, let’s look at a sample analysis to determine a student’s chance of admission based upon various academic scores.

Example-Isotonic-Regression

How Can Isotonic Regression Be Helpful for Business Analysis?

If we consider the use cases below, we can see the value of Isotonic Regression.

Use Case – 1

Business Problem: Decide Loan Eligibility based on Applicant’s Annual income, Employment Period, Debt to Income Ratio etc.

Input Data: Predictor/Independent Variable(s) to determine Applicant’s Loan Eligibility:

  • House Ownership Status
  • Job Grade
  • Employment Length
  • Annual Income
  • Loan Verification Status
  • Debt to Income Ratio

Business Benefit:

Loan applicant’s can discover what predictors can lead towards the required loan amount to be eligible for further proceedings in turn ensuring systematic banking approach and also assist banks to check the loan eligibility criteria before sanctioning a loan to the applicant.

Use Case – 2

Business Problem: Predicting diamond prices using basic measurement metrics.

Input Data: Predictor/Independent Variable(s) to determine the price of a Diamond:

  • Carat weight of Diamond
  • Quality of the Cut
  • Diamond Color
  • Clarity
  • Depth
  • The width of the diamond’s table

Business Benefit:

The predictive model will provide details on the pricing of diamonds and enable analysis of the most prominent factors and trends in the diamond market.

About Smarten

The Smarten approach to augmented analytics and modern business intelligence focuses on the business user and provides tools for 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 PreparationClickless Analytics with natural language processing (NLP) for search analyticsAuto InsightsKey Influencer Analytics, and SnapShot monitoring and alerts. These tools are designed for business users with average skills and require no specialized knowledge of statistical analysis or support from IT or data scientists. Businesses can advance Citizen Data Scientist initiatives with in-person and online workshops and self-paced eLearning courses designed to introduce users and businesses to the concept, illustrate the benefits and provide introductory training on analytical concepts and the Citizen Data Scientist role.

The Smarten approach to data discovery is designed as an augmented analytics solution to serve business users. Smarten is 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: What is Isotonic Regression and How Can a Business Utilize it to Analyze Data?

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Case Study – Augmented Analytics for India Software Services and Technology Company https://www.elegantjbi.com/blog/case-study-augmented-analytics-india-software-services-technology-company.htm https://www.elegantjbi.com/blog/case-study-augmented-analytics-india-software-services-technology-company.htm#comments Wed, 08 Sep 2021 20:44:47 +0000 https://www.elegantjbi.com/blog/?p=7596 Continued]]> The Client has achieved a dynamic global presence as a Technology Consulting and Software Services Company and serves some of the largest fortune 500 companies around the world. The Client employs more than 1000 trained team members and professionals and offers a broad spectrum of IT services including Custom Application Development, Management and Re-Engineering, Backend Integration, Testing and Validation, Technology Evaluation and IT Service Management.

Client has achieved its goal of creating a centralized analytics system. The Smarten solution intuitive interface allows users to make the most out of available data and effectively manage resources, revenue, procurement, business operations, manpower allocation etc. Smarten and the Smarten team supported the Client team and helped the team to track organizational performance to reduce cost and increase profitability of each department without compromising on quality standards.

download-casestudy

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Case Study – Smarten Integrates R Scripting for Gujarat Environment Management Institute (GEMI) for Predictive Analysis https://www.elegantjbi.com/blog/case-study-smarten-integrates-scripting-gujarat-environment-management-institute-gemi-predictive-analysis.htm https://www.elegantjbi.com/blog/case-study-smarten-integrates-scripting-gujarat-environment-management-institute-gemi-predictive-analysis.htm#comments Wed, 08 Sep 2021 16:12:47 +0000 https://www.elegantjbi.com/blog/?p=7593 Continued]]> Gujarat Environment Management Institute (GEMI) is an ISO 9001:2008, ISO 14001:2004, OHSAS 18001:2007 certified Autonomous Institute under the auspices of the Gujarat Forest Department agency. The GEMI charter supports the “Think Global, Act Local” concept and is integrally involved in the pursuit of environmental protection for India. The Client team is engaged in assuring sustainable development, and provides research to measure and gauge the impact of various human, economic and industrial activities on the environment. GEMI is focused on developing standards for prevention of negative environmental impacts and performs lab testing on air, water, wastewater, microbiology and soil.

The Smarten Partner required augmented analytics and reporting capability to provide easy-to-use COVID-19 management dashboards to support the needs of the Partner Client using the existing Partner solution. Smarten Augmented Analytics provided a comprehensive set of reporting and analytics tools, e.g., COVID-19 Overview dashboard, COVID-19 State Overview, COVID-19 Detail report, COVID-19 Workflow Real-time snapshot and more. The Smarten team offered critical support to ensure a smooth and efficient deployment of Augmented Analytics and to assure Client end user adoption and satisfaction. The integration of Augmented Analytics within the Partner proprietary Healthcare Information Application, allowed the Partner to improve customer satisfaction and gain recognition and visibility across the industry.

download-casestudy

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Can Business Users Really Use BI Tools? https://www.elegantjbi.com/blog/2021/09/08/business-users-bi-tools/ https://www.elegantjbi.com/blog/2021/09/08/business-users-bi-tools/#comments Wed, 08 Sep 2021 10:15:07 +0000 https://www.elegantjbi.com/blog/?p=7584 Continued]]> bi-tools-are-designed-to-help-business-users-succeedDon’t Leave Your Business Users Out in the Cold. Give Them BI Tools!

Don’t underestimate your business users! They have market, domain and professional expertise that add value to the organization and, with the right BI tools and features, business users can gather, analyze and make decisions using data from all across the enterprise. You don’t have to leave the business intelligence and analytics efforts to IT or business analysts or data scientists.

Provide access to self-serve business intelligence tools that allow business users to leverage personalized dashboards, key performance indicators (KPIs), reports, deep dive analytics and metrics that will help them make better decisions on a day-to-day basis and make the best recommendations to management.

No matter how ‘average’ your business user skills are, you can still enjoy this opportunity. Self-serve BI tools are designed for business users and the IT team can provide appropriate access and security to ensure that the right people see and use the right data. These tools are mobile, so users can enjoy these resources on the road and in the office.

With the right BI solution, you can also get out-of-the-box functionality designed for your business function and industry.

If you want your business users to promote, collaborate and adopt the use of data and business intelligence, it is important to provide a strong Modern Business Intelligence foundation designed to support your Business Function, Your Existing Business Applications and the unique needs of your industry. Visit our Blog to find out more about how to encourage Social Business Intelligence within your ranks.

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Citizen Data Scientists Can Make a Huge Difference! https://www.elegantjbi.com/blog/2021/09/06/citizen-data-scientists-huge-difference/ https://www.elegantjbi.com/blog/2021/09/06/citizen-data-scientists-huge-difference/#comments Mon, 06 Sep 2021 17:22:55 +0000 https://www.elegantjbi.com/blog/?p=7580 Continued]]> simple-advice-for-new-citizen-data-scientistsCitizen Data Scientists: Be the Champion and the Change!

If your business has entrusted you with the responsibility of a new role, namely that of Citizen Data Scientist, you may think of it as extra work or some sort of punishment. Nothing can be further from the truth! As a business technology user, you are in a unique position to combine your market, domain and industry expertise and your professional knowledge with augmented analytics that will support your queries, your problem-solving initiatives and your desire to improve on productivity, performance and revenue.

In other words, you can make substantive changes! If your business has not provided the support or culture change you need to fully embrace this role, work with your fellow Citizen Data Scientists to define what you need from your managers and your business executives, IT team or analytical professionals. Ask your business to allow you to take a simple course that will support your new role so that you can work with confidence.

Once you have the support you need, go for it! You can become a champion – one that will work with your fellow business users to show them how and when they can use the new software and analytical tools and how these tools can help every business users to improve their own performance and to add value to the organization. By becoming a champion and providing a resource to answer simple questions, you can also illustrate your additional value.

When you present information in a staff meeting, always use the data you have derived from the augmented analytics data solution. Showing objective metrics and displaying real problems and opportunities using easy-to-read graphics, charts and reports will help you to make your point quickly and effectively – and it will impress management!

Our Article, ‘Provide the Right Augmented Analytics Solution and Features for Business Users’ will provide more detail on these augmented analytics tools to support the Citizen Data Scientist role and improve data literacy.

If you are a newly minted Citizen Data Scientist, you don’t have to do this alone! Contact Us to today or Click Here to explore training for Citizen Data Scientists, designed to help you succeed on your Citizen Data Scientist journey.

Original Post : Simple Advice for New Citizen Data Scientists!

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Self-Serve Data Prep Tools Can Optimize SME Business Budgets and Resources! https://www.elegantjbi.com/blog/2021/09/01/self-serve-data-prep-tools-optimize-sme-business-budgets-resources/ https://www.elegantjbi.com/blog/2021/09/01/self-serve-data-prep-tools-optimize-sme-business-budgets-resources/#comments Wed, 01 Sep 2021 15:18:01 +0000 https://www.elegantjbi.com/blog/?p=7570 Continued]]> self-serve-data-prep-tools-can-optimize-sme-business-budgets-and-resourcesSmall and medium sized businesses (SMEs) often find it difficult to balance the day-to-day need for data with the cost of employing data scientists or professional analysts to help with forecasting, analysis, data preparation and other complex analytical tasks.

A recent Gartner study found that by 2022, data preparation will become a critical capability in more than 60% of data integration, analytics/BI, data science, data engineering and data lake enablement platforms.

If this assumption is correct, SMEs will have to find a way to satisfy the need for advanced analytics and fact-driven decision-making, if these businesses are going to grow and compete.

self-serve-data-prep-tools-can-optimize-sme-business-budgets-and-resources

Data is everywhere in modern organizations and small and medium sized businesses are no exception! The tasks involved in gathering and preparing data for analysis are just the first steps. To make the best use of that data, the organization must have advanced analytics tools that can help them analyze and find patterns and trends in data and build analytics models. But these steps can be labor intensive and, without a suitable self-serve data preparation tool, the organization will have to employ the services of professional data scientists to get the job done.

Data prep and manipulation includes data extraction, transformation and loading (ETL) and shaping, reducing, combining, exploring, cleaning, sampling and aggregating data.

With a targeted self-serve data preparation tool, the midsized business can allow its business users to take on these tasks without the need for SQL skills, ETL or other programming language or data scientist skills.

Augmented analytics features can help an SME organization to automate and enhance data engineering tasks and abstract data models, and use system guidance to quickly and easily prepare data for analysis to ensure data quality and accurate manipulation. With the right self-serve data preparation tools, users can explore data, use auto-recommendations to visualize the data in a way that is appropriate for a particular type of data analysis and leverage natural language processing (NLP) and machine learning to get at the data using simple search analytics that are familiar and commonly used in Google and other popular search techniques.

Because these sophisticated features are built with intuitive guidance and auto-recommendations, the user does not have to guess at how to prepare, visualize or analyze the data so results are accurate, easy to understand and suitable for sharing and reporting purposes. As small and medium sized organizations face the challenges of an ever-changing market and customer expectations, it will be more critical than ever to optimize business and data management and to make data available for strategic and day-to-day decisions.

To manage budgets and schedules, SMEs will have to achieve more agility and flexibility and look to the business user community to increase data literacy and embrace business analytics.

Original Post : Self-Serve Data Prep Tools Can Optimize SME Business Budgets and Resources!

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Tally Users Can Make Clear, Confident Decisions with Mobile Analytics and Access! https://www.elegantjbi.com/blog/2021/09/01/tally-users-clear-confident-decisions-mobile-analytics-access/ https://www.elegantjbi.com/blog/2021/09/01/tally-users-clear-confident-decisions-mobile-analytics-access/#comments Wed, 01 Sep 2021 10:26:28 +0000 https://www.elegantjbi.com/blog/?p=7562 Continued]]> tally-users-can-make-clear-confident-decisions-with-mobile-analytics-and-access-titleThe Tally ERP Solution accounting and financial application is used around the world and is immensely popular among its users. It is a critical step in the workflow process for finance and accounting professionals and contains crucial data needed to make financial decisions, to provide statutory reports and to support business users as they execute roles and responsibilities. The Tally reporting functionality provides basic reports but, if businesses and team members can incorporate analytics and use the data contained within the Tally solution to illustrate, measure, share and make decisions, this elevated capability will enhance and improve business results and ensure fact-based decisions across the enterprise.

Businesses demand more of their team members today and those demands include the advancement of data literacy and the ability of every business professional to use and understand data and to make recommendations, and perform tasks using factual, clear information on a day-to-day basis. If a business provides mobile analytics within the Tally App, business users can find and use Tally business intelligence, leverage Tally KPIs to establish key performance indicators and measure and monitor results, and use all of that information to make confident decisions – all with access on the road, while working at home or in the office.

The Tally dashboard within the mobile analytics app is easy-to-use and provides clear, visually insightful results that can be shared and leveraged for presentation, decisions and day-to-day actions and tasks.

tally-users-can-make-clear-confident-decisions-with-mobile-analytics-and-access

Your business and users can leverage the best of Tally ERP and combine that power with simple, yet sophisticated business intelligence and analytics reporting to achieve the results needed to improve competitive positioning and to make the right decisions across the enterprise. A Software as a Service (SaaS) solution makes data accessible from anywhere and is cost-effective, quick to implement (within minutes, rather than weeks or months) with no implementation or customization costs or extensive training requirement.

SmartenApps for Tally allows users to leverage the popular, familiar Tally app and provides access to analytics via Web and Mobile App options in a Software as a Service (SaaS), easy-to-use, cost effective environment. Explore SmartenApps for Tally and Register Now to get started!

Original Post : Tally Users Can Make Clear, Confident Decisions with Mobile Analytics and Access!

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Combine Data Literacy and Digital Transformation! https://www.elegantjbi.com/blog/2021/08/31/combine-data-literacy-digital-transformation/ https://www.elegantjbi.com/blog/2021/08/31/combine-data-literacy-digital-transformation/#comments Tue, 31 Aug 2021 12:18:30 +0000 https://www.elegantjbi.com/blog/?p=7557 Continued]]> your-business-can-and-will-benefit-from-improved-data-literacyIs Improved Data Literacy Really THAT Important for My Business?

Why do your business team members need to be data literate? If your business is like most, it struggles to keep up with trends and to understand whether, when and how to implement enterprise-wide initiatives. You must convince your senior team and board of directors that these changes (which may be time-consuming and costly) are worth the effort. So, when a business manager says that her/his team needs to be more data literate, these same questions will arise.

Why do you need to improve data literacy and, if you do, how do you transform your business team? Data Literacy is important because it allows business users at every level to use all the data you gather within your systems and solutions. You may be entering data to track sales in reports or to comply with industry or government reporting needs for accounting and financial investment. BUT, that data, along with all the other data buried in your enterprise systems is your most important asset! If you are to understand what objectives you will meet, what tasks and processes are supporting these objectives and where you need to make changes, you need team members who can gather, filter and analyze data and understand the results.

With this kind of skill, team members can use data to make the best decisions, to find opportunities, to share and collaborate and to make the best recommendations to advance the interests of the team and the organization. If you want to implement this kind of capability and encourage data literacy, you will need a digital transformation (first and foremost) to review your systems and solutions, ensure that systems are integrated so that you can automate processes and approval tasks wherever possible AND you will need augmented analytics that your team can use without data science skills.

Allow your team members to leverage their own professional skills, developed throughout their career, and apply those skills to the review and analysis of data. If you provide easy augmented analytics tools, you give your team flexible dashboards and reporting capability so they can share information. You can encourage power users and champions to use and share data and create data popularity and improved data literacy.

This kind of data literacy and digital transformation initiative require a culture shift and continuous improvement within and across the organization. Engaging an expert IT consultant to help your business succeed and is an important factor in planning and implementing this kind of comprehensive enterprise-wide plan.

Leverage the power of Data Literacy, and provide support for Digital Transformation. Read our White Paper ‘Preparing Your Business For Digital Transformation (Dx) And Data Literacy.’

Original Post : Your Business CAN & WILL Benefit From Improved Data Literacy!

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Sampling Data using Smarten Augmented Analytics! https://www.elegantjbi.com/blog/2021/08/25/sampling-data-smarten-augmented-analytics/ https://www.elegantjbi.com/blog/2021/08/25/sampling-data-smarten-augmented-analytics/#comments Wed, 25 Aug 2021 07:44:26 +0000 https://www.elegantjbi.com/blog/?p=7536 Continued]]> sampling-data-using-smarten-augmented-analyticsBy a small sample, we may judge the whole pic!

All of us might have used the concept of sampling in our routine life. For instance, while purchasing vegetables from a shop market, don’t we examine a few to assess the quality of the whole lot? Doesn’t a doctor examine a few drops of blood as a sample in order to draw conclusions about the blood constitution of the entire body? Most of the time while dealing with big data problems, it’s not feasible to collect data from the whole population. Thus, sampling techniques are a useful procedure for selecting a subgroup (i.e., sample) from a population that is expected to be a representative of the whole population, in turn saving the time, cost as well as the efforts needed in examining the complete data. If anything goes wrong with the sample of data, then it will be directly reflected in the final result.

1. Sampling Techniques: Get accurate results from data by employing fewer resources!

Before we get too into the weeds of dealing with Sampling using Smarten, let’s inspect the two widespread sampling techniques i.e., Simple Random Sampling and Stratified Sampling.

1.1    Simple Random Sampling:

The selection mechanism for this sampling technique is purely based on chance wherein every item has an equal chance of being selected. A popular example demonstrating this strategy is a lottery system. This technique is favorable owing to the fact that it is less time consuming as well as economical in nature. However, simple random sampling has shortcomings in obtaining the representative sample for full data collection as well as possesses higher chances of bias.

1.2   Stratified Sampling:

The selection mechanism for this sampling technique is such that the entire population data is divided into subgroups where the members in each of the subgroups have similar attributes and characteristics. A random sample from each of these subgroups is taken in proportion to the subgroup size relative to the population size. These subsets of subgroups are then added to formulate a final stratified random sample. Improved statistical precision is achieved through this method due to the low variability within each subgroup, and the fact that a smaller sample size is required for this method as compared to simple random sampling. This method is used when the researcher wants to examine subgroups within a population. Besides being economical in nature along with being a less time-consuming technique, this methodology has less chance of bias as well as being capable of achieving higher accuracy compared to simple random sampling. However, in order to perform stratified sampling, one needs to define the categorical variable by which sub groups should be created. For instance, Age group, Gender, Occupation, Income, Education, Religion, Region etc.

2.     Smarten SSDP (Self-Serve Data Preparation) truly makes Analytics Self-Serve!

Smarten SSDP is a crucial component of Advanced Data Discovery, enabling sophisticated features and functionality in an easy-to-use, intuitive, interactive environment that users will want to adopt and leverage. In addition to various easy to adapt features provided, Smarten SSDP assists in performing Sampling techniques with barely any effort being put in by the business user. Let’s gradually familiarize ourselves in approaching data sampling using Smarten SSDP.

2.1    Open the dataset on which sampling is to be performed and navigate to the sampling icon:

          The highlighted icon depicts the Sampling feature in Smarten:

Sampling-Icon-in-Smarten-SSDP

Sampling Icon in Smarten SSDP

 

2.2      Open the Sampling window to perform further operations:

The next straight-thinking step is to click the Sampling icon and to understand what it offers. The following panel opens up on clicking the Sampling icon:

Sampling-Window

Sampling Window

 

It’s straightforward to understand from this window that smarten offers both the techniques discussed before (i.e., Simple random sampling and Stratified sampling) and the user can choose the best one applicable. Let’s quickly look at each technique utilizing Smarten SSDP.

2.3        Perform simple random sampling using Smarten SSDP:

Simple random sampling can be effortlessly performed on selecting the corresponding radio button. Smarten automatically performs the operations involved and outputs the sampled dataset for the chosen dataset by pressing the Apply button. By default, the sample size is kept to be 30% of the total number of records but the users have flexibility to edit the default set sample size by inputting the percentage of total records for the sample or by simply providing the number of records to be considered for the sample.

Perform-Simple-Random-Sampling-using-Smarten-SSDP

Perform Simple Random Sampling using Smarten SSDP

 

2.4      Perform stratified sampling using Smarten SSDP:

            Stratified sampling can again be simply performed by selecting the corresponding radio button. 

Perform-Stratified-Sampling-using-Smarten-SSDP

Perform Stratified Sampling using Smarten SSDP

 

As this category of sampling a consideration is made that a particular class comes up with proportionate class counts in the sample as well. In order to select the class whose proportion is to be maintained, one must select it from the drop-down list provided as follows:

Selecting-the-class-for-generating-proportionate-counts-in-the-sample

Selecting the class for generating proportionate counts in the sample

 

Smarten automatically performs the subsequent operations involved and outputs the sampled dataset for the chosen dataset by pressing the Apply button. By default, the sample size is kept to be 30% of the total number of records in this technique as well and the users have flexibility to edit the default set sample size by inputting the percentage of total records for the sample or by simply providing the number of records to be considered for the sample set.

3.    SmartenInsight: Explore, Discover and Gain insight from data can’t be any easier!

Many a time the same dataset can formulate more than one use-case or the same use-case could be analyzed by different data science algorithms to draw varied insights. It might happen that we would prefer not to disturb our original data but opt for applying sampling techniques after choosing the algorithm technique. SmartenInsight provides this flexibility to its users and provides an option to choose to apply the algorithm technique on the full data or sample data. Generally, when the data is huge, it is advisable to go on with the sample data option in order to attain speed up.

Option-to-run-model-of-full-or-sample-data-in-Smarten-Insight

Option to run model of full or sample data in Smarten Insight

 

In order to reach this screen, create a new SmartenInsight.

Go to New -> SmartenInsight -> Choose the algorithm technique of interest -> Select the dataset of interest 

4.    Smarten Assisted Predictive Modelling: Take the Guesswork out of Planning!

Smarten Insight provides predictive modeling capability and 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. In addition to many fine features provided, Smarten Assisted Predictive modelling also provides utility to sample data even once the requisite machine learning model has been created. Once the algorithm has been applied, we can navigate to the sampling icon and the following screen pops up:

Sampling-option-in-Smarten-Assisted-Predictive-Modelling

Sampling option in Smarten Assisted Predictive Modelling

 

As perceived from the screen, two sampling modes are provided, namely Auto and Manual mode. The Auto mode performs sampling such that the sample size is set to 5000 if the number of records in the studied dataset is more than 5000, else the sample size corresponds to the full data. By default, Auto mode is selected. However, the users are provided an option to select the sample size and sampling technique of their interest by switching to the Manual mode for sampling.

5.     Nobody is Perfect! The data we are surrounded by might have Class Imbalance imperfection

Often while dealing with classification problems, the number of observations belonging to one class are significantly lower/higher than those belonging to other classes, in simpler terms, the data is skewed towards some particular class observations leading towards deteriorating predictive performance specifically for the minority class. Class imbalance poses a threat while performing classification as the model might treat the minority class as a noise and fail to predict that class besides proclaiming good accuracy. In such a scenario, handling the imbalanced data becomes crucial and one of the renowned approaches to deal with this is to resample the data.

5.1   Handling Class Imbalance by simply resampling data differently

One of the noteworthy and straightforward approaches to deal with this problem is to resample the dataset either by decreasing the abundance of the majority class or by increasing the frequency of the minority class leading towards reducing the ratio between the class frequencies for performing better classification. The techniques are well known as Under sampling and Oversampling respectively.

5.1.1  Under sampling – Deleting samples from the majority class

Consider fraud detection in banking. The banking events, like debit or credit card transactions or money transfers, are predominantly valid. Only a small percentage of events are fraudulent, which leads to an imbalanced dataset. Now if an organization is trying to get better at identifying fraudulent events, this imbalanced data could skew it toward wrongly labeling transactions. In order to gain real insight from such an imbalance data, we can put to use under sampling as a resampling technique which seeks to randomly remove samples from the majority class in order to maintain an equivalent ratio among all classes. This technique is well suited when there is plenty of data for accurate analysis as here, we are removing information from the majority class in order to make a balanced dataset. However, it is always important to consider the prospects of valuable information being deleted as we randomly remove them from our data set.

5.1.2  Oversampling – Duplicating samples from the minority class

Let’s contemplate another real-life use case exhibiting the class imbalance problem. Consider the customer churn use case wherein the vast majority of customers stay with the service (the “No-Churn” class) and a small minority cancel their subscription (the “Churn” class). To get appropriate predictions, we can apply oversampling to increase the number of instances in the minority class by randomly replicating them in order to present a higher representation of the minority class in the sample. This technique overcomes the drawback of under sampling by not leading to any information loss from the data. However, it poses a drawback of retarding the training process as well as can give rise to overfitting in the classification model.

6.     It’s a Wrap! 

Now that we have covered the prominent techniques to sample the dataset of interest as well as utilizing them in a straightforward manner using Smarten augmented analytics, we are all set to tackle any huge data by employing apt sampling techniques and win accurate outcomes. It can be comprehended that better data does not always mean more data. Though having more data, both in terms of a greater number of records and more features to study is a blessing, directing essential efforts in utilizing crucial components from the data in order to obtain correct insights is vitally important.

Note: This article is based on Smarten Version 5.0 as the base. This may or may not be relevant to the Smarten version you may be using.

Original Post : Sampling Data using Smarten Augmented Analytics!

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Augmented Analytics with Tools to Support Tally ERP Users! https://www.elegantjbi.com/blog/2021/08/24/augmented-analytics-tools-support-tally-erp-users/ https://www.elegantjbi.com/blog/2021/08/24/augmented-analytics-tools-support-tally-erp-users/#comments Tue, 24 Aug 2021 10:51:54 +0000 https://www.elegantjbi.com/blog/?p=7550 Continued]]> augmented-analytics-and-tally-erp-go-hand-in-handWith Augmented Analytics Tally ERP Users Can Analyze and Improve Results!

The Tally ERP solution is popular for a lot of reasons. With its broad and deep features and functionality, it supports accounting, finance, purchasing, inventory and other financial tasks and activities. With so much meaningful information, a business can create a competitive edge by finding a way to gather and analyze all the information contained in the various modules to make decisions, identify issues and find opportunities and trends and patterns that will affect business success.

The business professionals who use this type of solution are not data scientists but they don’t have to be. If the business establishes a foundation for analytics with an augmented analytics application that integrates the data in Tally with an easy-to-use augmented analytics solution, it can leverage the information in the Tally system. Pre-built reports and flexible views and displays allow business users to gain critical insight into data.

All team members are under pressure to make the right recommendation, and to find and solve problems before they affect business success. In this day and age, businesses cannot afford to use opinion or guesswork. They need facts and data to support the direction they are taking.

A comprehensive solution provides reports that include:

  • Sales and Purchasing with key performance indicators (KPIs) to provide metrics that will measure success.
  • Bank and Cash reporting to reveal patterns in banking and cash over time.
  • Payables and Receivables to track products, services and categories and report on debtors and creditors and identify and predict overdue payments, etc.
  • Inventory analysis to identify shortages and overages, supplier issues, etc.
  • Tax reporting to estimate tax obligations, analyze taxes for upcoming payments etc.
  • Cost Center analysis to reveal balances, accounts and association with ledgers, etc.
  • Ledger analytics for entries, balances, drill-down and voucher level analysis.
  • Drill Down reporting with pre-built views and drill down into ledger and transaction levels.
  • Accounting Statements for accountants, statutory reporting and balance sheet review, trial balances, P&L etc.
  • Overview reports for monthly trends, top and bottom analysis, contribution analysis, KPIs etc.
  • Report suite to slice and dice data by vendor, product, service, cost, sales person, location, customer, inventory, purchasing, etc.

If you are a Tally user, you can provide users and your business managers with the tools they need to compete and succeed, AND you can evaluate the solution for free, and determine the business benefits. Find out more about SmartenApps For Tally analytics.

Contact Us to today to find out how SmartenApps for Tally can help you achieve your goals.

Original Post : Augmented Analytics and Tally ERP Go Hand-in-Hand!

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Smarten Support Portal Updates – August – 2021! https://www.elegantjbi.com/blog/2021/08/20/smarten-support-portal-updates-august-2021/ https://www.elegantjbi.com/blog/2021/08/20/smarten-support-portal-updates-august-2021/#comments Fri, 20 Aug 2021 12:24:57 +0000 https://www.elegantjbi.com/blog/?p=7533 Continued]]> smarten-support-portal-updates-august-2021We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. Embedded / API Integration : API Call to rebuild cubes / datasets
  2. License key : Adding new license key / Updating an existing key

Forum Topics

  1. Embedded / API Integration: How to rebuild cubes/ datasets through API call?
  2. Email Settings : Can I use two factor SMTP account for outgoing emails from Smarten server?

Usecases

  1. Split the dataset columns using Regex

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

Original Post : Smarten Support Portal Updates – August – 2021!

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Case Study – Smarten Augmented Analytics Delivers COVID-19 Data Management & Analytics for U.S. Healthcare Business https://www.elegantjbi.com/blog/case-study-smarten-augmented-analytics-delivers-covid-19-data-management-analytics-us-healthcare-business.htm https://www.elegantjbi.com/blog/case-study-smarten-augmented-analytics-delivers-covid-19-data-management-analytics-us-healthcare-business.htm#comments Thu, 19 Aug 2021 15:49:17 +0000 https://www.elegantjbi.com/blog/?p=7588 Continued]]> The Smarten Partner is a healthcare service provider in the United States, providing a web-based, patient-centric, healthcare management solution and workflow solutions to assist hospitals and healthcare facilities, increase operational efficiency and reduce costs. One of the Partner Clients is a multispecialty physicians group offering medical management clinical research and other primary and urgent care services. This Client offers COVID-19 vaccination programs with services including COVID testing and vaccination management.

The Smarten Partner required augmented analytics and reporting capability to provide easy-to-use COVID-19 management dashboards to support the needs of the Partner Client using the existing Partner solution. Smarten Augmented Analytics provided a comprehensive set of reporting and analytics tools, e.g., COVID-19 Overview dashboard, COVID-19 State Overview, COVID-19 Detail report, COVID-19 Workflow Real-time snapshot and more. The Smarten team offered critical support to ensure a smooth and efficient deployment of Augmented Analytics and to assure Client end user adoption and satisfaction. The integration of Augmented Analytics within the Partner proprietary Healthcare Information Application, allowed the Partner to improve customer satisfaction and gain recognition and visibility across the industry.

download-casestudy

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Elegant Entrepreneur: I QUIT! What Happens After You Resign https://www.elegantjbi.com/blog/elegant-entrepreneur-quit-resign.htm https://www.elegantjbi.com/blog/elegant-entrepreneur-quit-resign.htm#comments Wed, 18 Aug 2021 13:11:57 +0000 https://www.elegantjbi.com/blog/?p=7527 Continued]]> elegant-entrepreneur-i-quit-what-happens-after-you-resignThis is the second and final article in the ‘I Quit’ series. These articles are meant to provide you with some insight into the resignation process from an employer perspective. In this article, I will discuss what happens (or should happen) after you tell your manager you are leaving the company.

As I mentioned in the first article, entitled, ‘ I QUIT! The When and How of Resignation‘, I have accepted numerous resignations in my time as a business owner and manager, and the nature and tone of those resignations is as varied as the people working in and with my business over the past twenty years. After years of experience, I have concluded that, while there are many ways to quit your job, there are definitely right ways and wrong ways to take on this process. If you haven’t already read the first article in this series, you will want to do so. It covers the ‘when’ and the ‘how’ of the resignation process.

So, let’s talk about what happens during the time after you resign and before you leave the company. Once you deliver your resignation letter and meet with your manager, you might think the important steps are finished. But, there is much to be done, before you leave, and those tasks are important, not only for your employer but for your reputation and your professional future.

Before You Go

Once you have given notice, you can discuss your remaining time at the company. Those notes you took before the meeting will come in handy here. Make suggestions on how you might ease the transition. Can you train a particular person or team to take over responsibilities while your manager searches for a replacement? Is there someone in particular your manager might consider as your replacement? Could you train them? What projects do you need to complete? Outline the tasks and tell your manager what you expect to complete before your departure.

After you talk to your manager, and to HR and your team, resist the temptation to kick back and wait for your departure date. Get the work done. Do not disrupt the work process. If you are leaving because you are unhappy, do not engage in poisonous rhetoric in the break room or encourage others to leave. Do your job and impress others with your professionalism.

Before your last day, be sure all exit paperwork is complete, and that you have taken care of all benefits, experience certificates, relieve letters, etc.

After You Leave

Here is the point where I tell you why you want your employer to be happy! Whether your relationship with your prior employer was good or bad, your ex-manager, your teammates and colleagues will remember your professionalism.

You finished your last day at the company and you are moving on – hopefully to a great new job in a new company. Whether you know it or not everyone was watching you and judging how you handled the resignation process. Younger team members will learn from your behavior. Your old colleagues may leave the company and you may wish to hire them or have them considered for employment in your new company. They will WANT to work with you because they perceive you as being professional. Your ex-manager may become a client when you start your new business. You may be nominated for an industry panel or position by someone with whom you used to work. All of those things are possible and some are probable.

Most of us work in a small professional community and our behavior and attitude follow us from one company and career experience to another.
THAT is why you want your ex-manager to be grateful.
infographic-elegant-entrepreneur-i-quit-what-happens-after-you-resign

Oh, and one last thing before you update your resume and put that previous job in the rearview mirror! Keep in touch with your previous team, your ex-manager, your professional contacts. Call them and ask if they are going to an industry event and arrange to meet them there for a cup of coffee. Call to ask how they are doing. Call your manager a month or two after you leave and ask how things are going. Offer to answer any questions they might have.

In short, be mature and professional, and make your old colleagues miss you.

That’s the way to resign!

Original Post : Elegant Entrepreneur: I QUIT! What Happens After You Resign!

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Your Team Can Use Assisted Predictive Modeling! https://www.elegantjbi.com/blog/2021/08/17/team-assisted-predictive-modeling/ https://www.elegantjbi.com/blog/2021/08/17/team-assisted-predictive-modeling/#comments Tue, 17 Aug 2021 10:14:59 +0000 https://www.elegantjbi.com/blog/?p=7524 Continued]]> leverage-predictive-analytics-for-your-business-and-teamPredictive Analytics Is Within the Reach of Your Business Users!

Today, business planning is harder than ever. No one knows what is coming next and considering the changes in customer needs and expectations is just one of the issues. How about competition? What about new technology and how it will affect your products and services? What about the need for skills and new training for your team members and candidates? How about access to capital and investors?

If you can relate to any or all of these issues, you probably wonder how you can improve the accuracy of your forecasts and planning. Predictive analytics techniques like Association, Time Series Forecasting, Correlation, Clustering, Classification and Regression provide a foundation from which your team can predict results. But, interpreting data can seem impossible for the average team member and learning to use these predictive analytics techniques is not even on their radar!

With Assisted Predictive Modeling and an Augmented Analytics Solution, the average team member can leverage all of these techniques and even receive guidance on which models and methods are best for the type of data they want to analyze so they can quickly and easily perform data analytics without the assistance of IT or data scientists or business analysts.

If the business provides this type of foundational solution, it can support its team members and its objectives and goals with confidence and refine forecasts and predictions to improve clarity and accuracy.

If your business sees the value of Predictive Analytics and wishes to enhance the value of every team member, Contact Us today to get started, and explore our bonus content here: Predictive Analytics

Original Post : Leverage Predictive Analytics for Your Business and Team!

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Include KPI Tools and Mobile BI to Support Users! https://www.elegantjbi.com/blog/2021/08/12/include-kpi-tools-mobile-bi-support-users/ https://www.elegantjbi.com/blog/2021/08/12/include-kpi-tools-mobile-bi-support-users/#comments Thu, 12 Aug 2021 10:43:15 +0000 https://www.elegantjbi.com/blog/?p=7518 Continued]]> modern-business-intelligence-supports-your-usersYour Team Can Use Modern BI Tools to Improve Results and Add Value!

Business Intelligence drives business success. Being able to gain insight out of all the data in your enterprise is crucial to business success today. Your competition is always thinking of new ways to succeed and so should you! If you can provide your business users with BI tools and a simple, easy-to-use BI Dashboard, you can use these BI tools and solutions to achieve results and move your business forward.

If your business team is looking for simple, sophisticated modern business intelligence tools, be sure you choose a solution that includes key performance indicator analytics, and mobile business intelligence capability so your business users can access and leverage business intelligence in the office and on the road. KPI tools will provide critical metrics by which you can measure success and avoid subjective results and opinion-driven decisions.

Nearly every business is under pressure to capitalize on the business knowledge and professional skills of its team members and to give them the analytics and tools they need to make recommendations and suggestions and to solve problems and, most importantly, find and leverage opportunities to improve business results.

If you want your business users to promote, collaborate and adopt the use of data and business intelligence, it is important to provide a strong Modern Business Intelligence foundation designed to support your business function, your existing business applications and the unique needs of your industry. Visit our Blog to find out more about how to encourage Social Business Intelligence within your ranks.

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Tally Users Can Go Beyond Data to Gain Insight Into the Business with Mobile App Analytics! https://www.elegantjbi.com/blog/2021/08/11/tally-users-data-gain-insight-business-mobile-app-analytics/ https://www.elegantjbi.com/blog/2021/08/11/tally-users-data-gain-insight-business-mobile-app-analytics/#comments Wed, 11 Aug 2021 13:03:38 +0000 https://www.elegantjbi.com/blog/?p=7511 Continued]]> tally-users-can-manage-results-with-analytics-and-ally-kpi-key-performance-indicators-titleThe Tally ERP Solution is an accounting and financial application that is used by many business professionals around the world. It has gained in popularity since its launch and is a critical piece of the workflow process for finance and accounting professionals. Much of the crucial data a business needs is contained within the Tally app and while Tally reports provide support for users, today’s businesses are working hard to find new ways to compete, new ways to measure and make fact-based decisions and new methods and collaborative techniques to allow team members to share, report on data and make data-driven decisions and recommendations.

By integrating a mobile analytics app with Tally features and functionality, business users can adopt and use simple, pre-built reports and templates and gain insight into data in ways they never could before. With a Tally dashboard designed with business users in mind, and Tally KPI capability, team members can leverage Tally business intelligence in a mobile environment and make decisions and share information while on the road, working from home or…from anywhere.

Are your users tired of staring at columns of Tally ERP data and reports crammed with detail, and STILL not being able to glean the information they need; still not feeling confident in the results they are presenting or the recommendations they make to management? With the right, integrated mobile analytics app, Tally users can leverage a familiar environment without having to learn a whole new software solution and they can drill down and through data to find the root cause of an issue, as well as create visualizations and summary reports that clearly illustrate the results and support the recommendation they are making. They can gain an understanding of issues and discover new opportunities – all without needing the skills of a business analyst and all within a mobile, easy-to-use interface and Tally dashboard.

tally-users-can-go-beyond-data-to-gain-insight-into-the-business-with-mobile-app-analytics

A Software as a Service (SaaS) solution makes data accessible from anywhere and is cost-effective, quick to implement (within minutes, rather than weeks or months) with no implementation or customization costs or extensive training requirement.

Your business and users can leverage the best of Tally ERP and combine that power with simple, yet sophisticated business intelligence and analytics reporting to achieve the results needed to improve competitive positioning and to make the right decisions across the enterprise.

SmartenApps for Tally allows users to leverage the popular, familiar Tally app and provides access to analytics via Web and Mobile App options in a Software as a Service (SaaS), easy-to-use, cost effective environment.  Explore SmartenApps For Tally and Register Now to get started!

Original Post : Tally Users Can Go Beyond Data to Gain Insight Into the Business with Mobile App Analytics!

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Plan for Success and Create Great Citizen Data Scientists! https://www.elegantjbi.com/blog/2021/08/09/plan-success-create-great-citizen-data-scientists/ https://www.elegantjbi.com/blog/2021/08/09/plan-success-create-great-citizen-data-scientists/#comments Mon, 09 Aug 2021 04:42:21 +0000 https://www.elegantjbi.com/blog/?p=7502 Continued]]> dont-fret-you-too-can-be-a-citizen-data-scientistBecoming a Citizen Data Scientist Requires the Right Support and Tools!

If your business has designated you a Citizen Data Scientist, you may feel intimidated and unprepared to take on the role. You are probably a business professional with a lot of knowledge in your chosen career and area of focus and none in the field of data science or business analysis.

If done right, the transition from business user to Citizen Data Scientist does not have to be difficult. But, if the business plans appropriately and provides the right foundation, the transition can be seamless. That transition takes planning and should include:

  • Review and transition of culture to support data literacy and digital transformation as well as provide the support for business users as they take on the new role.
  • Identification of power users, data champions and those within the business teams who will best exemplify the new role and encourage and support others as they take on this new role.
  • Solutions and systems that will support the new roles and allow business users to easily leverage sophisticated augmented analytical tools like self-serve data preparation, smart data visualization and assisted predictive analytics, designed to support business users as they gather and analyze data to support business decisions and to make recommendations.
  • Foundational training to explain and support the new role, identify areas and methods of collaboration, and provide examples, use cases and analytical techniques users can work with to get some practice and to gain confidence.

Starting a new job or taking on a new role or more responsibility is always easier if you have support and if you have the information you need to build confidence and to explain and champion your new role with other team members so that everyone becomes comfortable with the new environment.

Our Article, ‘Provide the Right Augmented Analytics Solution and Features for Business Users’ will provide more detail on these tools and how to select the right augmented analytics solution for your business users.

If your business is planning a Citizen Data Scientist initiative, you don’t have to do this alone! Contact Us to today or Click Here to explore training for Citizen Data Scientists, designed to help you begin your Citizen Data Scientist journey.

Original Post : Don’t Fret! You Too Can Be a Citizen Data Scientist!

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Small and Mid-Sized Businesses Embrace Advanced Analytics and Improve Productivity and Empowerment! https://www.elegantjbi.com/blog/2021/08/04/small-mid-sized-businesses-embrace-advanced-analytics-improve-productivity-empowerment/ https://www.elegantjbi.com/blog/2021/08/04/small-mid-sized-businesses-embrace-advanced-analytics-improve-productivity-empowerment/#comments Wed, 04 Aug 2021 08:00:50 +0000 https://www.elegantjbi.com/blog/?p=7495 Continued]]> small-and-mid-sized-businesses-embrace-advanced-analytics-and-improve-productivity-and-empowermentA recent study published by Gartner revealed that 10% of midsize organizations currently have some form of prescriptive analytics. This is forecast to grow to 36%. You may be wondering why the use of predictive analytics is growing so rapidly in midsized companies, and it is worth noting that, while there are numerous benefits to this type of solution, one of the primary reasons for this growth is improved productivity and employee value.

No business manager wants to waste precious funding and resources on tasks or tools that do not advance the interests of the organization. Competition is challenging and customer buying behavior can shift and change. Predictive analytics can help the organization understand the market, its need for training, resources, new products, changes to marketing messages, equipment and facilities expansion, supplier network changes and more!

Where a business can reduce the time it takes to make a decision and, at the same time, make that decision more fact-based, it will enjoy better return on investment (ROI) and lower total cost of ownership (TCO). If business users can participate in the advanced analytics process, with augmented analytics that provide auto-suggestions and recommendations to help the user through the process, the process is more agile and users can work more efficiently.

With assisted predictive modeling, smart data visualization and self-serve data preparation tools, a small and medium sized business can speed the analytical process, enable its business users with intuitive tools and allow its data scientists and analysts to focus on more strategic goals.

Even the smallest business is inundated with data and it is easy for business users to be overwhelmed when trying to take it all in and analyze the data to make a decision. Using augmented analytics, the organization can support small and medium sized (SME) business users and allow them to interact with data in a flexible environment, so they can gain insight, spot trends and opportunities and solve problems.

SMEs that embrace comprehensive assisted predictive modeling and predictive analytics can achieve results in less time and make team members more productive, collaborative and accountable.

Original Post : Small and Mid-Sized Businesses Embrace Advanced Analytics and Improve Productivity and Empowerment!

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Leverage Self Serve Data Preparation for All Users! https://www.elegantjbi.com/blog/2021/08/03/leverage-serve-data-preparation-users/ https://www.elegantjbi.com/blog/2021/08/03/leverage-serve-data-preparation-users/#comments Tue, 03 Aug 2021 13:38:35 +0000 https://www.elegantjbi.com/blog/?p=7487 Continued]]> is-self-serve-data-prep-suitable-for-business-usersSelf Service Data Preparation Makes Data Accessible to Business Users!

Preparing data for analysis used to be a long, difficult process performed by IT or data scientists. Needless to say, that process meant that business users could not get the job done. They were forced to make a request, wait for the process to be completed and then, more than likely, for the same team to actually perform the analysis. If the data prep was not accurate or was incomplete, the process starts all over OR produces poor results and, in many cases, those poor results are not obvious to the business user. What does that mean? It means that the business is using information and results that they do not know are wrong!

SO…when Augmented Analytics evolved to include Self-Serve Data Preparation, businesses could provide better results AND access for business users without data science or analytical skills.

Self Service Data Prep allows a business user with average technology skills to gather and prepare data to explore, clean, shape, reduce, and combine data with tools that auto suggest relationships, JOINS and type casts, and allow users to connect, and mash up data, to sample outliers, to determine data lineage and collaborate with full insight into where the data came from and whether it is dependable. Users can search data, profile and catalogue, all without the assistance of IT or data scientists. So, those users can fulfill roles and responsibilities without delay and with confidence.

With Augmented Analytics and Self-Serve Data Preparation, businesses can improve productivity for business users and for the data scientists and IT teams that support them. By reducing user dependence on these specialists, the business can optimize the time of all team members, engender data popularity, improve data quality and dependability, and champion the use of data across the enterprise.

If you want to make encourage your business users to adopt and leverage Self-Serve Data PrepContact Us to get started. Read our Bonus Content on Self-Serve Data Preparation

Original Post : Is Self-Serve Data Prep Suitable for Business Users?

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Understand the Value of Augmented Analytics for Your Team! https://www.elegantjbi.com/blog/2021/07/27/understand-augmented-analytics-team/ https://www.elegantjbi.com/blog/2021/07/27/understand-augmented-analytics-team/#comments Tue, 27 Jul 2021 06:43:07 +0000 https://www.elegantjbi.com/blog/?p=7480 Continued]]> does-augmented-analytics-really-help-my-team-perform-betterDo You See the Value of Augmented Analytics for Every User?

If you own an auto mechanics business, you know that tools and equipment are key to your business success. Without the right tools, your mechanics cannot perform routine tasks, test modern automobile computerized systems or serve customers. The same holds true for any other type of business. Your team needs the right tools and equipment to perform routine tasks and to analyze and solve problems.

Today, nearly every business is engaged in democratizing data and in improving data literacy and initiating digital transformation – all in hopes of improving business results and increasing the value of each team member. When you combine the skills and knowledge of a business professional with the right tools, the results are undeniable. Whether you are running an auto mechanics business, a financial services business, a manufacturing business, an eCommerce shop or a healthcare practice, analyzing the data you gather and using that data to make decisions is crucial to your success.

You have a lot of data hidden in databases, best-of-breed software apps, legacy systems, the Cloud, and other data repositories. When you bring that data together in an intuitive, integrated environment, and provide access to your business users, you allow them to apply their domain and industry knowledge to the data they gather and to use that combined knowledge and data to make recommendations, to change or adapt processes, to plan for training or equipment maintenance, to understand what resources to hire and when, where to open new locations, which customers to target with marketing and what type of message works best, etc.

To leverage all of that wonderful information, you need augmented analytics solutions that are easy enough for every team member to adopt and reports that are clear. You need built-in suggestions and recommendations that will guide the user to choose the right visualization techniques to clearly understand results for a particular type of data, and suggest the right algorithm or analytical techniques to predict and forecast results and to test theories and hypothesize. With the right tools, your business users do not need to be data scientists or business analysts. They just need to ask a question and they can instantly get the answers they need without the help of IT or data analysts.

If your business sees the value of Analytics For All and the enhancement of the value of every team members, Contact Us today to get started, and explore our bonus content here: Provide the Right Augmented Analytics Solution and Features for Business Users.’

Original Post : Does Augmented Analytics Really Help My Team Perform Better?

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Smarten Support Portal Updates – July – 2021! https://www.elegantjbi.com/blog/2021/07/26/smarten-support-portal-updates-july-2021/ https://www.elegantjbi.com/blog/2021/07/26/smarten-support-portal-updates-july-2021/#comments Mon, 26 Jul 2021 11:22:28 +0000 https://www.elegantjbi.com/blog/?p=7477 Continued]]> smarten-support-portal-updates-july-2021We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. LDAP/AD : AD Integration in Smarten
  2. Assisted Predictive Modelling Use cases : Sampling Data using Smarten Augmented Analytics

Forum Topics

  1. API Integration: How to tackle issues in accessing embedded Smarten objects through API in the latest version of Chrome (chrome 84.0.4147)?
  2. LDAP/AD : How to configure AD in Smarten?

Usecases

  1. Derive Week of year considering the week starts from Saturday
  2. Handling multiple JOINs through Step by Step Procedure to create a dataset

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

Original Post : Smarten Support Portal Updates – July – 2021!

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Tally Users Can Manage Results with Analytics and Tally KPI Key Performance Indicators! https://www.elegantjbi.com/blog/2021/07/21/tally-users-manage-results-analytics-tally-kpi-key-performance-indicators/ https://www.elegantjbi.com/blog/2021/07/21/tally-users-manage-results-analytics-tally-kpi-key-performance-indicators/#comments Wed, 21 Jul 2021 14:47:58 +0000 https://www.elegantjbi.com/blog/?p=7467 Continued]]> tally-users-can-manage-results-with-analytics-and-ally-kpi-key-performance-indicatorsThe Tally ERP Solution is a popular accounting and financial application used by many business professionals for day-to-day data entry and reporting. Business users have become very familiar with this application and they use it to fulfill their responsibilities. But, in today’s business environment, business managers and senior executives are including measurable results and metrics in performance reviews and businesses are expecting every team member to make recommendations and present data that is based on data and measurable results.

There is so much information contained in the Tally ERP solution and, with the right analytics app, business users can gather Tally business intelligence and establish and monitor key performance indicators (KPIs) with ease.

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 break downs and drill down to further analyze trends, and reasons for performance and clearly see the root cause of issues to modify activities and tasks and recommend new or modified actions to achieve results.

screenshot-tally-users-can-manage-results-with-analytics-and-ally-kpi-key-performance-indicators

Key performance indicators (KPIs) allow business users to work with clear information and to understand what is working and what is not. There is no more guesswork. And, the best part of this integrated analytics approach within the Tally ERP solutions environment? Business users do not have to learn and use a whole new software solution. They can use the familiar Tally interface and the data contained within this environment to analyze, monitor and manage KPIs and make meaningful progress. Business users can review and gain insight into KPIs for monthly, quarterly and yearly KPI and trends, customer and item sales and more.

SmartenApps for Tally allows users to leverage the popular, familiar Tally app to produce Tally Reports that go beyond mere data to provide real insight. Tally KPI and Tally Dashboards allow users to build KPI Analysis that tells a story and is measurable, and provides access to analytics via  Web and Mobile App options in a Software as a Service (SaaS), easy-to-use, cost effective environment.  Explore SmartenApps For Tally and Register Now to get started!

Original Post : Tally Users Can Manage Results with Analytics and Tally KPI Key Performance Indicators!

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I QUIT! The When and How of Resignation! https://www.elegantjbi.com/blog/2021/07/21/quit-resignation/ https://www.elegantjbi.com/blog/2021/07/21/quit-resignation/#comments Wed, 21 Jul 2021 12:02:59 +0000 https://www.elegantjbi.com/blog/?p=7464 Continued]]> elegant-entrepreneur-i-quit-the-when-and-how-of-resignationI have accepted numerous resignations in my time as a business owner and manager, and the nature and tone of those resignations is as varied as the people working in, and with, my business over the past twenty years. After years of experience in this regard, I have concluded that, while there are many ways to quit your job, there are definitely right ways and wrong ways to take on this process.

In this article, I will share my thoughts from an employer’s perspective in hopes of making the resignation process better for all concerned. As an employee, one might not believe there is a reason to do this ‘the right way’. After all, you are leaving the company. Why would you care about your employer’s feelings?

But, it isn’t so much about feelings as it is about finishing what you started in a professional way so that you don’t:

  • Close the door on future relationships, referrals and learning opportunities
  • Damage your own professional reputation and risk ‘bad press’ in your industry
  • Lose the opportunity for continued professional growth and maturity

There are many things to consider, once you have decided to leave your job. Before you outline your plan, here are a few thoughts that might help you tender your resignation ‘the right way’.

When

The standard lead-time for a resignation is one to two months in India, unless you are on a management or executive team, in which case an employment contract or other corporate policies might dictate a longer lead-time. Regardless of the policy, I would encourage you to let your employer know as soon as possible. In most cases, a manager appreciates the advance notice and the opportunity for a smooth transition.

In small companies, the loss of one employee can send the business into a spiral. The more notice you give, the easier the transition and the more grateful the employer will be. We’ll talk later about why you want your employer to be grateful!

How

Unless you are a remote employee who works on the other side of the world, don’t resign by email. Even If you are working remotely, you should at least call your employer to talk about your resignation. Make an appointment to talk. Don’t just drop in, when your manager is busy, or about to go into a meeting.

If you are AT ALL nervous about the resignation (and many people are), jot down some notes so that you are prepared to discuss all the points you want to make. Even if you aren’t nervous, you should consider making some notes; just to be sure you discuss all appropriate issues and work with your manager to establish an interim plan.

Draft a simple, concise, professional resignation letter to deliver to your manager on the day of the meeting. The letter should not outline grievances or provide an emotional venting process for you. If you need to do that, do it for yourself and, after you have gotten it out of your system, destroy the letter.

During the Meeting

Under NO circumstances should you allow yourself to engage in an emotional outburst! No matter how difficult your time or relationship with the company may have been, you should make your last official interaction a positive one. Avoid accusations, yelling, throwing things and definitely avoid violence! These may seem like obvious cautionary statements but we have all seen the viral internet videos of disgruntled employees going berserk. It might feel good at the moment to get things off your chest but this kind of behavior can only hurt you in the long run and in hindsight you are likely to be embarrassed and find yourself in a defensive position trying to explain your behavior and convince others that your manager ‘deserved it’. Take the high road and be mature. Don’t let a ten-minute tirade damage your professional career. No matter what you think: people are watching and judging your behavior and that can affect your career.

If you feel strongly about telling your manager about honest issues in the organization, about circumstances that caused you to leave, do so professionally (that’s where the notes will come in handy). Carefully outline the issues without accusing or attacking anyone. Think of it as if you were telling your manager about issues that someone else on your team has experienced. You are simply laying out the facts. Make suggestions on how to improve or change things, what policies the business might want to change. Take a productive, collaborative approach. Even on your way out the door, you can affect change. You’ll feel good about the exchange, and it may take some of the sting out of the bad experiences you had while you were employed. Remember that your comments may change nothing. But, at least you will have tried! You deserve honest feedback and so does your manager!

Now that we have talked about the worst-case scenario, let’s assume you are leaving on good terms. You will want to tell your manager why you are leaving, e.g., a better opportunity, relocation, a chance to explore a different type of career, going back to school. Be honest. If you enjoyed your time at the company, tell your manager how you feel. Give specific examples about how your team and/or your manager supported you. Be mature and forthcoming!

Whatever you do, don’t lie! Tell the truth about why you are leaving and where you are going – even if you are going to the competition. As long as your contract does not preclude a move to a competitor, it is better to be honest. Remember that you will have to provide references so, eventually, your manager will know where you are going. Better to give your company time to prepare for the reference than to blindside them with a cold call. Resist the temptation to remove your current company from your social media and professional network profiles. If you think this action will avoid awkward reference requests, you are in for a surprise. It is never wise to lie or attempt to hide the truth. It will always catch up with you and your new employer will judge you accordingly.

I hope this article has given you some insight into how an employer views the resignation process. The second article in this special Elegant Entrepreneur series, is entitled, ‘I QUIT! What Happens After You Resign?’. It provides further tips on how to maximize your remaining time in the company and ensure that your resignation and professional approach will leave a great impression and improve your career opportunities in the future. I encourage you to read that article and to use these articles as a blueprint for professional resignation. It will protect you and your career.

Original Post : I QUIT! The When And How Of Resignation!

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Business Users LOVE Smart Data Visualization! https://www.elegantjbi.com/blog/2021/07/20/business-users-love-smart-data-visualization/ https://www.elegantjbi.com/blog/2021/07/20/business-users-love-smart-data-visualization/#comments Tue, 20 Jul 2021 10:06:57 +0000 https://www.elegantjbi.com/blog/?p=7461 Continued]]> smart-data-visualization-really-does-make-you-smarterCan Smart Data Visualization Make My Business Smarter?

All the data in the world can’t help you improve your business results unless you can sift through it and see it in a way that tells a story – a story that leads you to a conclusion, helps you solve a problem or allows you to see how your business can grow, change and succeed. Columnar reports and a sea of data are a barrier to insight. But, that doesn’t have to be YOUR problem.

Augmented analytics with Smart Data Visualization can be your secret weapon!  Here’s how it works…Smart data visualization allows business users to view and analyze data to identify a problem and clarify a root cause and to make confident decisions. Business users can interact easily with data discovery tools and analytics software and build a view that will tell a story using guided visualization and recommended data presentation so there is no need for assistance or delays. Guided recommendations are made based on data type, volume, dimensions, patterns and nature of data.

When you combine cutting-edge technology and machine learning on the backend, with an intuitive user experience on the front end, business users can easily leverage sophisticated tools with suggestions and recommendations on how to personalize data displays to create meaningful views and collaboration. Powerful machine learning provides guidance to determine the visualization technique that will be the best fit for the data business users want to analyze and it allows for better understanding of data, and identifies unusual patterns in data, and achieves the best output and results.

These enable users to identify relationships, patterns, trends and opportunities and to explore detailed data with simple drill down and drill through capabilities and make sense of data from all sources, with a guided approach that allows users to identify patterns and trends, and quickly complete analysis with clear results. This isn’t your father’s excel spreadsheet! Business users can leverage these tools to clearly SEE what is happening, the root cause of a problem or the single nugget of information that will lead you to a new product, an epiphany about price points, etc.

If you want to leverage the power of Smart Data Visualization, provide support for Digital Transformation and your business users, and improve data literacy and clarity, you can start here. Clickless Analytics and the NLP search environment, you can start today. Explore our Blog to find out more about the importance of this meaningful tool and how it can help your business achieve its goals.

Original Post : Smart Data Visualization Really DOES Make You Smarter!

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Smarten Augmented Analytics Introduces Pixel Perfect Print Reports for Custom Format Templates, Forms and Documents! https://www.elegantjbi.com/blog/2021/07/19/smarten-augmented-analytics-introduces-pixel-perfect-print-reports-custom-format-templates-forms-documents/ https://www.elegantjbi.com/blog/2021/07/19/smarten-augmented-analytics-introduces-pixel-perfect-print-reports-custom-format-templates-forms-documents/#comments Mon, 19 Jul 2021 11:35:45 +0000 https://www.elegantjbi.com/blog/?p=7458 Continued]]> smarten-augmented-analytics-introduces-pixel-perfect-print-reports-for-custom-format-templates-forms-and-documentsThe Smarten Augmented Analytics team is pleased to announce the launch of its Pixel Perfect Print Report module. The addition of the Pixel Perfect Print Report features and functionality adds to what is already a robust, user-friendly suite of advanced analytics tools, designed for business users to engender data literacy and digital transformation within the business environment.

Smarten CEO, Kartik Patel says, “We are pleased to introduce our Pixel Perfect Print Report module. This customized print report environment will provide more flexibility for businesses to create forms, reports and documents that meet the unique needs of users, customers and other stakeholders.”

Pixel Perfect Print Reports supports business reporting and documentation needs and allows IT team members and consultants to leverage simple, basic programing or scripting to define and format templates and use data from Smarten datasets and objects to produce stunning pixel perfect reports and deliver those documents at a predefined frequency using delivery and publishing agents.

“With Pixel Perfect Print Reports, our Smarten clients can optimize productivity and easily create forms and documents,” says Patel. “This new reporting capability allows businesses to go beyond columnar, restricted report formats and generate predefined formats for all kinds of department, functional and statutory needs.”

The Smarten Pixel Perfect Print Report environment is easy-to-use, and allows the enterprise to create a forms and template library for all types of documents including customer statements, management reports, newsletters, invoices, account ledgers, annual reports, purchase orders, packing slips with bar codes, and statutory compliance reports, just to name a few.

About Smarten

The Smarten approach to augmented analytics and modern business intelligence focuses on the business user and provides tools for 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, Clickless Analytics with natural language processing (NLP) for search analytics, Auto Insights, Key Influencer Analytics, and SnapShot monitoring and alerts. These tools are designed for business users with average skills and require no specialized knowledge of statistical analysis or support from IT or data scientists. Businesses can advance Citizen Data Scientist initiatives with in-person and online workshops and self-paced eLearning courses designed to introduce users and businesses to the concept, illustrate the benefits and provide introductory training on analytical concepts and the Citizen Data Scientist role.

Original Post : Smarten Augmented Analytics Introduces Pixel Perfect Print Reports for Custom Format Templates, Forms and Documents!

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Combine Augmented Analytics with Tally Solutions! https://www.elegantjbi.com/blog/2021/07/15/combine-augmented-analytics-tally-solutions/ https://www.elegantjbi.com/blog/2021/07/15/combine-augmented-analytics-tally-solutions/#comments Thu, 15 Jul 2021 08:37:33 +0000 https://www.elegantjbi.com/blog/?p=7454 Continued]]> tally-and-integrated-augmented-analytics-perfect-comboTake Tally Solutions to the Next Level with Integrated Augmented Analytics!

If you are an accounting or finance professional, chances are good you know Tally Solutions and TallyERP. This software application was designed to support your teams and to provide an environment for data entry and reporting and, as such, it is quite popular. This foundational structure allows users to access and work with data for day-to-day tasks and to support the business operation.

But, as business becomes more competitive, accounting and finance professionals are being asked to use the data contained in their databases and software applications to spot trends and patterns, mitigate risk and plan for the future. Integrating augmented analytics into the Tally environment helps business users perform these tasks without the need of a data scientist or a business analyst. Pre-built templates and reports provide a foundation for analysis and sophisticated analytical tools on the backend with intuitive reporting and clear results on the front-end. Business users have the freedom to analyze and share data via a mobile app or in the office via a web browser.

Business users may feel that taking on these analytical tools is daunting and that they do not have the knowledge to use the tools or to understand the results but nothing could be further from the truth. Out-of-the-box analytics and easy-to-use dashboards provide information on banking and sales, purchasing, payables, receivables, inventory, taxes, ledgers, account statements and other information business professionals need.

If you are a Tally user, you can provide users and your business managers with the tools they need to compete and succeed, AND you can evaluate the solution for free, and determine the business benefits. Find out more about SmartenApps For Tally analytics.

Contact Us to today to find out how SmartenApps for Tally can help you achieve your goals.

Original Post : Tally and Integrated Augmented Analytics = Perfect Combo!

 

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What is the Key to Citizen Data Scientist Success? https://www.elegantjbi.com/blog/2021/07/12/key-citizen-data-scientist-success/ https://www.elegantjbi.com/blog/2021/07/12/key-citizen-data-scientist-success/#comments Mon, 12 Jul 2021 12:23:43 +0000 https://www.elegantjbi.com/blog/?p=7449 Continued]]> there-is-help-for-the-frustrated-citizen-data-scientistAre You Feeling Less Than Confident in Your Role as a Citizen Data Scientist?

As a Citizen Data Scientist, your journey may have been rocky. If your business did not plan for the cultural shift, the new workflow and processes, or provide support to help you scale up with intuitive, sophisticated augmented analytics, you probably struggled to find your footing. Perhaps you have yet to find that footing and are still looking for support. No matter where you are on the journey, one thing is for sure, if you don’t have the right tools and techniques to accurately and effectively use data, your Citizen Data Scientist role will not be fulfilled.

Remember, the Citizen Data Scientist is NOT a Data Scientist. Citizen Data Scientists are business professionals with domain, industry or business function knowledge and, in this new environment, they are expected to apply that knowledge to data analytics and use data to make clear recommendations and to base decisions on measurable results and facts, rather than ‘best guess’ or opinion.

If Citizen Data Scientists are to be successful in their role, they need augmented analytics solutions and access to algorithms and analytical techniques in an intuitive environment – one that provides plenty of support, guidance and recommendations to ensure that the visualization they use, or the predictive analytical technique they choose is the right one; the best one to achieve the results and gain the insight they need. They need a solution that provides natural language processing (NLP) search analytics so they can ask questions using normal human language to search and get results. They need tools that are designed to reveal crucial information they need to share, to solve problems or to identify new opportunities for the business.

With the right tools, Citizen Data Scientists can become champions of change and enable improved data literacy, but equally importantly, the Citizen Data Scientist can be confident in their new role and advance the Citizen Data Scientist initiative and the change in culture required for the business to succeed with this initiative. Change is always challenging, but it need not be frustrating or difficult. With the right planning, support and tools, business users and team members can adopt the role of Citizen Data Scientist and become more valuable to the organization.

Our Article, ‘Provide the Right Augmented Analytics Solution and Features for Business Users’ will provide more detail on these tools and how to select the right augmented analytics solution for your business users.

If your business is planning a Citizen Data Scientist initiative, you don’t have to do this alone! Contact Us to today or Click Here to explore training for Citizen Data Scientists, designed to help you begin your Citizen Data Scientist journey.

Original Post : There Is Help For The Frustrated Citizen Data Scientist!

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Smarten Announces SmartenApps for Tally, Out-of-the-Box Augmented Analytics Mobile App and Web Portal! https://www.elegantjbi.com/blog/2021/07/08/smarten-announces-smartenapps-tally-out-of-the-box-augmented-analytics-mobile-app-web-portal/ https://www.elegantjbi.com/blog/2021/07/08/smarten-announces-smartenapps-tally-out-of-the-box-augmented-analytics-mobile-app-web-portal/#comments Thu, 08 Jul 2021 11:31:01 +0000 https://www.elegantjbi.com/blog/?p=7446 Continued]]> smarten-announces-smartenapps-for-tally-out-of-the-box-augmented-analytics-mobile-app-and-web-portalSmarten is pleased to announce its SmartenApps for Tally® augmented analytics solution. SmartenApps is designed to integrate with Tally ERP via cloud-based access for easy user access and on-the-road task completion. With SmartenApps for Tally, business users can access Tally ERP Solutions data on iOS or Android via mobile application or web portal via browser-based access to display dashboards, KPIs, reports and more!

Kartik Patel, CEO of Smarten and SmartenApps says, ‘Our team designed this augmented analytics integration to provide seamless modern business intelligence and reporting and advanced analytics and to enable data-driven decisions, gain insight into issues, and identify opportunities with elegant, simple, secure technology and architecture and intuitive dashboards, KPI and reports.’

SmartenApps for Tally includes key business parameters, e.g., Sales, Purchase, Payable & Receivable, Income & Expense, Cash & Bank and Duties and Taxes, and monthly trends. out-of-the-box with analytics, dashboards and reports that include an Overview, Sales & Purchase, Bank and Cash, Payables and Receivables, Inventory, Taxes, Cost Center, Ledger, Drill-Down, Accounts Statements, and Reports.

‘Users have near real-time access to transactions and data with web and mobile access,’ Patel says. ‘And the app provides the value of analytics integration and fact-based decision-making with rapid start-up and timely access to support.’

Accredited by Gartner and recognized for its intuitive, easy-to-use analytics, Smarten offers stunning visualization, dynamic charts and graphs. SmartenApps for Tally is free to download and evaluate, with simple, affordable licensing fees thereafter. Download now for Web Portal and Mobile App.

SmartenApps For Tally  provides crucial business user support using a foundation of the Smarten augmented analytics suite. Explore the features and benefits of SmartenApps for Tally now.

Original Post : Smarten Announces SmartenApps for Tally, Out-of-the-Box Augmented Analytics Mobile App and Web Portal!

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Can I Improve My Shopify Store Competitive Position? https://www.elegantjbi.com/blog/2021/07/07/improve-shopify-store-competitive-position/ https://www.elegantjbi.com/blog/2021/07/07/improve-shopify-store-competitive-position/#comments Wed, 07 Jul 2021 16:24:08 +0000 https://www.elegantjbi.com/blog/?p=7442 Continued]]> how-can-i-improve-my-shopify-business-resultsAnalytics Can Take Shopify (and your business) to the Next Level!

The Shopify management team has spent a lot of time and effort building its brand and its popularity around the world. Shopify has many features that appeal to eCommerce and online business owners. In today’s competitive online shopping environment, these features, combined with the ability to easily analyze the data within the Shopify application and use that analysis to make business decisions can mean the difference between business success and failure.

Customers want the best shopping experience and the business must focus on which customers are buying which products, where and how they can bundle products to gain more traction, where sales trends are going and what product, pricing and marketing strategies will get them where they want to go. But, the average eCommerce business team member is not a data scientist, so it is important to provide simple tools for analytics and to integrate that analytics capability within the familiar Shopify application so that users do not have to learn complex analytics tools or use unfamiliar, complicated analytical techniques to get the results they need.

eCommerce team members are engaged in the day-to-day and operational aspects of running an online business. What they need is rapid analytical techniques, analytical report templates and easy insight into data. They need to quickly understand the problems and see how to solve them and they want to get meaningful information that will help them innovate and create new products and ideas to attract customers.

If you are a Shopify user, you can Integrate Shopify With Augmented Analytics, and provide users and your business users with the tools they need to compete and succeed. Find out more about Shopify eCommerce analytics in our article, Are You Succeeding at eCommerce? If You Don’t Know, You NEED Integrated Analytics.’

Contact Us to today to find out how SmartenApps for Shopify can help you achieve your goals.

Original Post : How Can I Improve My Shopify Business Results?

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The Important Components of Augmented Analytics! https://www.elegantjbi.com/blog/2021/07/05/important-components-augmented-analytics/ https://www.elegantjbi.com/blog/2021/07/05/important-components-augmented-analytics/#comments Mon, 05 Jul 2021 13:27:49 +0000 https://www.elegantjbi.com/blog/?p=7437 Continued]]> the-ease-of-augmented-analytics-includes-numerous-componentsAutoML, NLP and Clickless Analytics Come Together to Produce Auto Insights!

When it comes to the new world of analytics, the augmented analytics approach allows business users with no data science background to readily access and use analytics in an intuitive way. There are some important aspects of this approach, including auto machine learning, natural language processing (NLP) and intuitive search analytics.

Machine Learning via AutoML allows users to leverage systems and solutions that are designed with Machine Learning capabilities to predict outcomes and analyze data. Auto ML is the automated process of features and algorithm selection that supports planning, and allows users to fine tune, perform iterative modeling, and allows for the application and evolution of machine learning models. Machine Learning Algorithms allows the system to understand data and applies correlation, classification, regression, or forecasting, or whichever technique is relevant, based upon the data the user wishes to analyze. Results are displayed using visualization types that provide the best fit for the data, and the interpretation is presented in simple natural language. This seamless, intuitive process enables business users to quickly and easily select and analyze data without guesswork or advanced skills.

With natural language-processing-based search capability, users do not need to scroll through menus and navigation. The business can address complex questions using this simple search capability with a contextual flexible search mechanism that provides one of the most flexible, in-depth search capability and results offered in the market today.

Clickless Analysis and contextual search capabilities go beyond column level filters and queries to provide more intelligence support and translate the contextual query and returns results in an appropriate format, e.g., visualization, tables, numbers, or descriptors. It takes natural language processing search analytics (NLP) and predictive modeling for business users to the next level and frees business users to produce accurate, clear results, quickly and dependably, using machine learning that frees the business user to collect and analyze data with the guided assistance of a ‘smart’ solution.

This foundation and these techniques come together to enable the enterprise and its business users to perform complex data analytics and share analysis across the organization in a self-serve, mobile environment. It brings the power of sophisticated, advanced analytics and smart data visualization to the next level with tools for automated data insights.

If you want to make encourage your business users to adopt and leverage the Clickless Analytics approach to NLP search analytics, and capitalize on intuitive Search Analytics and Auto Insights features that improve results and user adoption, Contact Us to get started. Read our Blog to find out more about Clickless Analytics and Natural Language Processing.

Original Post :  The Ease of Augmented Analytics Includes Numerous Components!

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Citizen Data Scientists Deliver Business Intelligence! https://www.elegantjbi.com/blog/2021/07/01/citizen-data-scientists-deliver-business-intelligence/ https://www.elegantjbi.com/blog/2021/07/01/citizen-data-scientists-deliver-business-intelligence/#comments Thu, 01 Jul 2021 14:07:42 +0000 https://www.elegantjbi.com/blog/?p=7429 Continued]]> augmented-analytics-bi-tools-support-citizen-data-scientistsWhy Should My Business Want Citizen Data Scientists?

These days, it seems that every conference I attend, there is a discussion about Citizen Data Scientists. For some of my colleagues, the discussion seems irrelevant or, in some cases, daunting. If you are hesitant to embrace this type of initiative in your business, here are a few Gartner predictions that might convince you to at least consider this crucial shift in business culture and data literacy.

 

 

 

 

  • Through 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance.
  • By 2021 (that’s THIS year, by the way), 50% of analytical queries will be generated via search, NLP or voice, or will be automatically generated.
  • By 2021, automation of data science tasks will enable Citizen Data Scientists to produce a higher volume of advanced analysis, than specialized data scientists
  • By 2025, a scarcity of data scientists will no longer hinder the adoption of data science and machine learning in organizations.
  • …and perhaps the most important prediction: By 2022, augmented analytics will be ubiquitous, but only 10% of users will use it to its full potential.

So, what does this all mean? It means that businesses that do not transform business users into Citizen Data Scientists will not have the leverage to improve time to market, improve competition, improve decision-making and collaboration and improve customer satisfaction and product placement in the market. It also means that, in order to leverage a Citizen Data Scientist approach, the business MUST embrace augmented analytics and modern business intelligence. Without the right tools, your business is likely to be among those mentioned in the last bulleted prediction above!

The fact is, you can’t make the required cultural shift and enable your business users to adopt data analytics if you don’t have a simple, intuitive augmented analytics solution that will provide insightful business intelligence and a platform to support the average team member with easy-to-use tools that don’t require a data science background.

WITH the right tools, a Citizen Data Scientist can collaborate, share data and make meaningful contributions to goals and objectives.

If you want your business users to promote, collaborate and adopt the use of data to support a Citizen Data Scientist initiative, enhance digital transformation and improve data literacy, it is important to provide a strong Advanced Analytics foundation with feature and functionality that are suitable for team members. Visit our Blog to find out more about the Citizen Data Scientist initiatives and support for these programs.

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Tally Mobile Apps: Analytics with Anytime Access and Results! https://www.elegantjbi.com/blog/2021/06/30/tally-mobile-apps-analytics-anytime-access-results/ https://www.elegantjbi.com/blog/2021/06/30/tally-mobile-apps-analytics-anytime-access-results/#comments Wed, 30 Jun 2021 17:20:13 +0000 https://www.elegantjbi.com/blog/?p=7426 Continued]]> tally-mobile-apps-analytics-with-anytime-access-and-resultsThe Tally ERP Solution is a popular accounting and financial application used by business professionals around the world to complete accounting and finance related tasks. Businesses that use Tally ERP have amassed a large volume of crucial data within the confines of the Tally app and that data is important to business users. When integrated with an analytics app, this Tally data can add value, insight and decision support. And, if that data and analytics is accessible through a mobile app, business users can perform tasks, analyze data and make crucial decisions while on the road, working remotely, etc.

With a Tally mobile app with integrated analytics, users can access data, analyze, drill down, drill through, create and share reports, establish and monitor key performance indicators (KPIs) – all without implementation cost, customization cost or months-long project initiatives. Users can get started within minutes and there is no lengthy training required. Business users who are familiar with Tally will find the analytical environment intuitive and will not have to learn a complex, new software solution in order to achieve results.

Businesses will benefit from improved collaboration and productivity. Today’s business users must function in the new world of remote working, and on-the-road, interactive projects and team initiatives. No matter the reason your team members are out of the office, integrated Tally KPIs and mobile app access and analytics will significantly decrease the time to make decisions and ensure that these decisions are based on measurable, fact-based information and data.

SmartenApps for Tally allows users to leverage the popular, familiar Tally app and provides access to analytics via Web and Mobile App options in a Software as a Service (SaaS), easy-to-use, cost effective environment. Explore SmartenApps for Tally and Register Now to get started!

Original Post : Tally Mobile Apps: Analytics with Anytime Access and Results!

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Self-Serve Advanced Analytics Offers a Collaborative, Empowered Environment to SMEs! https://www.elegantjbi.com/blog/2021/06/30/self-serve-advanced-analytics-offers-collaborative-empowered-environment-smes/ https://www.elegantjbi.com/blog/2021/06/30/self-serve-advanced-analytics-offers-collaborative-empowered-environment-smes/#comments Wed, 30 Jun 2021 12:31:54 +0000 https://www.elegantjbi.com/blog/?p=7416 Continued]]> self-serve-advanced-analytics-offers-a-collaborative-empowered-environment-to-smesThe use of business intelligence and business analytics is growing in every industry, business function and in companies of every size. 48% of small and medium sized business CIOs responding to a Gartner survey revealed that business intelligence (BI), data and analytics is one of the technology areas that will have the largest amount of new or additional spending.

Much has been made of the small and medium sized business move to roll out advanced analytics to the business user community, and the resulting improvement in decision-making and in productivity, there is another factor that comes into play.

With increased competition for the best resources and team members, the average SME business is hard-pressed to recruit, find and retain the best talent and to use that talent to advance their products and services in the market.

Data literacy is something most businesses want to encourage. Where the business can provide appropriate tools and solutions it can more dependably ensure success at the individual, team and business unit level. With the right tools, team members are less likely to be frustrated with processes and activities and more likely to feel that they are an asset to the organization and recognize that they understand what it takes to achieve results in the business environment.

When a small or medium sized business implements self-serve augmented analytics solutions, every employee can act as a Citizen Data Scientist and their knowledge and use of an advanced analytics solution will enhance the value and empowerment of business talent and engender employee satisfaction and data sharing. But beyond that, the team member will feel empowered and will be allowed to creatively use advanced analytics to solve problems and achieve goals.

By giving employees the right tools, the business can hold team members accountable, and encourage power users to engender data popularity and an investment in the collaborative environment, so every team member feels confident and understands their value to the organization.

When a business is considering a self-serve BI tools initiative and the implementation of advanced analytical tools, it should include employee empowerment and the optimization and actualization of employee potential and team member satisfaction in its assessment criteria.

There is no doubt that business analytics can help the organization to plan, forecast and predict more accurately, and that this type of solution can improve competitive positioning and customer acquisition and satisfaction. But, in a world where businesses find it increasingly difficult to attract and retain good talent, advanced analytics can help employees achieve their potential and create a more collaborative, rewarding environment for every team member.

Original Post : Self-Serve Advanced Analytics Offers a Collaborative, Empowered Environment to SMEs!

 

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Smarten Support Portal Updates – June – 2021! https://www.elegantjbi.com/blog/2021/06/25/smarten-support-portal-updates-2021 https://www.elegantjbi.com/blog/2021/06/25/smarten-support-portal-updates-2021#comments Fri, 25 Jun 2021 17:36:35 +0000 https://www.elegantjbi.com/blog/?p=7409 Continued]]> smarten-support-portal-updates-june-2021We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. Smarten Application Security: Banner Grabbing vulnerabilities and solutions
  2. Smarten Application Security: HTTP Method Vulnerability and solutions
  3. UDDC Expressions : Making use of Case statements (IfCase, When-Then)
  4. UDDC Expressions : Making use of Date functions
  5. UDDC Expressions : Making use of Arithmetic functions
  6. UDDC Expressions : Making use of Cell references

Forum Topics

  1. Smarten Application Security: How do we prevent Banner Grabbing Vulnerabilities?
  2. Smarten Application Security: What is HTTP Method Vulnerability and what are their solutions?

Usecases

  1. SSDP: Deriving week start date and week end date of a given date
  2. How to derive the recently purchased city of each customer from daily customer transactions from various cities

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

 

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Using Predictive Analytics to Understand Your Business Future! https://www.elegantjbi.com/blog/2021/06/24/predictive-analytics-understand-business-future/ https://www.elegantjbi.com/blog/2021/06/24/predictive-analytics-understand-business-future/#comments Thu, 24 Jun 2021 09:09:03 +0000 https://www.elegantjbi.com/blog/?p=7406 Continued]]> is-predictive-analytics-useful-in-a-chaotic-business-worldCan Predictive Analytics REALLY Help My Business During These Uncertain Times?

How accurate is predictive analytics? Is it worth using for my business? How can forecasting and prediction help me in such an uncertain environment? These are all valid questions and they are they are questions your business (and your fellow business owners) must grapple with to understand the value of planning and analytical tools.

While predictive analytics is based on historical data (and, of course, things have certainly changed over time), and you might argue that today is nothing like yesterday, there are many other benefits to the augmented analytics predictive analytics environment.

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.

All of this sounds good, doesn’t it? But, it still doesn’t address the issue of predicting the future in a changing environment. What good is historical data in today’s chaotic business environment?

Here is just one example of how assisted predictive modeling might help your business and your business users:

While the future is hard to see, your business CAN look for patterns and deviation to understand what HAS changed over the past 60 or 90 days or over the past year.

Users can hypothesize and test theories to see how things will change in market demand and customer response if trends continue, if the economy declines or if there is more disposable income. For a restaurant, that might mean that the recent trend toward takeout and curbside delivery might continue, even after the global pandemic has passed. People have just gotten used to the convenience of take-out meals and how easy it is to have them delivered or to order online.

For employers, the trend toward remote work might continue as businesses look at the cost of rent and utilities for an office or facility and weigh those expenses against the benefits of remote working. Remember, history does not have to be five years ago. It can be as recent as last month!

That’s where forecasting and planning come in. You can look at what is happening today and see how it has impacted your business and hypothesize about how things will change next month or next year.

If your business sees the value of forecasting, planning and predicting in an uncertain environment and wants to consider Predictive AnalyticsContact Us today to get started, and explore our bonus content here: Provide the Right Augmented Analytics Solution and Features for Business Users.’

Original Post : Is Predictive Analytics Useful In a Chaotic Business World?

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Why Do I Need to Analyze eCommerce Results? https://www.elegantjbi.com/blog/2021/06/17/analyze-ecommerce-results/ https://www.elegantjbi.com/blog/2021/06/17/analyze-ecommerce-results/#comments Thu, 17 Jun 2021 17:04:37 +0000 https://www.elegantjbi.com/blog/?p=7402 Continued]]> want-ecommerce-success-analyze-analyze-analyzeDo You Want Your eCommerce Growth to Explode?

Why does an eCommerce or online shopping business need analytics? After all, eCommerce is exploding. There is no limit to what a business can do! Some of what you just read is true. Some of it isn’t! If you are thinking you don’t need analytics because eCommerce is guaranteed to succeed, you need to recalibrate your strategy.

Yes, eCommerce is exploding. Yes, eCommerce can provide revenue and growth. BUT, this market is more competitive than ever and, without analytics, your business is walking in the dark. You put products online and you hope for the best and when customers do not buy, or a product is not popular, you wonder why. There are plenty of reporting tools and simple analytics available to help out but what the business really needs is a more comprehensive view of customers, products and sales. You need to understand sales trends and patterns and gain insight into what is selling, who is buying and why. You need to assess marketing campaigns, price points, customer value and customer cohorts and establish meaningful targets.

Your business needs to establish metrics and key performance indicators (KPI) that will give you clear results and tell you where you need to tweak your strategy and what is working.

BUT, you don’t want a tool that requires your business users to learn new, complicated software or to be data scientists with the skill to perform complex analytics. You need something that will easily integrate with your eCommerce solution and provide pre-built templates and reports to satisfy user needs.

If you are a Shopify user, you can Integrate Shopify With Augmented Analytics, and provide users and your business managers with the tools they need to compete and succeed, AND you can enjoy a free trial to evaluate the solution and determine the business benefits. Find out more about Shopify eCommerce analytics in our article, Are You Succeeding at eCommerce? If You Don’t Know, You NEED Integrated Analytics.’

Contact Us to today to find out how SmartenApps for Shopify can help you achieve your goals.

Original Post : Want eCommerce Success? Analyze, Analyze, Analyze!

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Tally ERP Analytics: Providing a Comprehensive Picture of Business! https://www.elegantjbi.com/blog/2021/06/09/tally-erp-analytics-providing-comprehensive-picture-business/ https://www.elegantjbi.com/blog/2021/06/09/tally-erp-analytics-providing-comprehensive-picture-business/#comments Wed, 09 Jun 2021 09:39:30 +0000 https://www.elegantjbi.com/blog/?p=7397 Continued]]> tally-erp-analytics-providing-a-comprehensive-picture-of-businessThe Tally ERP Solution is a popular accounting and financial application that is used by many business professionals. It acts as a repository for crucial business information and allows for data entry and reporting. But, today every team member is expected to contribute to business direction, problem solving and leveraging of opportunities and the accounting and financial world is no exception. In order to provide the type of clear, detailed business intelligence and reporting required by managers and senior executives, team members must have easy-to-use tools that will offer clear insight into Tally business intelligence and data.

Standard Tally reports provide some support for this type of analytical activity, but having an integrated analytics app that can pull together data and present it in a clear Tally dashboard will go a long way toward providing the kind of information business users need and offer quick, clear information. Tally KPIs offer users the ability to establish key performance indicators (KPIs) and achieve measurable results, determine which activities and investments and strategies are working and where changes should be made to achieve better results.

Consider the flexibility and comprehensive coverage of a full suite of pre-built templates accessible through a desktop web interface. These reports include and Overview of key business parameters including sales and purchasing to explore sales to date, monthly, quarterly and yearly, top customers and detailed sales registers, monthly trends with top and bottom analysis, contribution analysis and KPI analysis payables and receivables with a breakdown of creditors, debtors, products, services and components as well as trends, income and expense, cash and bank to explore trends and patterns over a period of time and compare results from previous periods, inventory shortages, overages, overstock, understock, suppliers, products, shipping and distribution, taxes for previous tax periods, future analysis, tax summaries and tax estimates, cost center balances and analysis of cost center groups and accounts and associated ledgers, ledger entries and balances with drill down to voucher level, drill down into ledgers and transactions, account statements for statutory submission, review of balance sheets, trial balances, profit and loss and various interactive reports to drill down, slice and dice by vendor, product, service, cost, sales person, location, customer, inventory, purchasing, costs and more.

This comprehensive dashboard environment provides the detail and the summary reporting and visualization your users need to work at every level – operational, strategic, tactical etc.

SmartenApps For Tally allows users to leverage the popular, familiar Tally app and provides access to analytics via Web and Mobile App options in a Software as a Service (SaaS), easy-to-use, cost effective environment. Explore SmartenApps For Tally and Register Now to get started!

Original Post : Tally ERP Analytics: Providing a Comprehensive Picture of Business!

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Clickless Analytics is the Future of Business User Analytics! https://www.elegantjbi.com/blog/2021/06/08/clickless-analytics-future-business-user-analytics/ https://www.elegantjbi.com/blog/2021/06/08/clickless-analytics-future-business-user-analytics/#comments Tue, 08 Jun 2021 12:42:09 +0000 https://www.elegantjbi.com/blog/?p=7393 Continued]]> nlp-search-ensures-your-users-want-to-adopt-analyticsWhat Does a Business Need to Do To Ensure That Users Adopt Analytics?

If your business is trying to incorporate data analytics into the fabric of day-to-day work, you will need to get your users to adopt analytical tools. The way forward is not all that complicated. The solution you choose must take an augmented analytics approach, one that includes simple search analytics, ala Google search. Natural Language Processing (NLP) and NLP Search tools are key to this approach as they allow business users to ask simple questions and get answers. If a user does not have to create complex queries or look to business analysts or data scientists or IT professionals, that user can incorporate data into information sharing, reporting, presentations and recommendations to management.

The Clickless Analytics environment means that users can create a query by asking a question, just as they would when communicating with one another. ‘Which sales person sold the most bakery items in Colorado in April of 2019?’ It’s just that simple. You don’t have to choose columns or search for the right information. Don’t expect your business users to embrace data democratization and champion data literacy if they can’t understand how to use the tools or what the analytics mean. Some solutions produce detailed results but they are in a format that is hard to understand or they provide mountains of detail without providing any insight into the data.

The key to Digital Transformation is to offer a) a solution that is easy to use and will integrate with other systems, software and databases to provide a full picture of data, b) a solution that is easy to use and will offer recommendations, suggestions, guidance and NLP search technology to satisfy the needs of the average business user, and c) a solution that allows users to learn about algorithms, predictive analytics and analytical techniques by providing the guidance and support to choose the right visualization techniques, and the right analytical technique to build user knowledge on a solid foundation, without frustrating the user.

As users, their managers and the business reap the benefits of these tools and techniques, the business user will become a champion of the data literacy and will happily embrace the new tools and roles. If it makes their job easier, and if it provides them with positive feedback in their role, they are bound to see the benefits.

If you want to make encourage your business users to adopt and leverage the Clickless Analytics approach to NLP search analytics, you must ensure that the Augmented Analytics solution you choose is suitable for the average business user AND will produce the clarity and results you need.  Contact Us to get started. Read our article, Want to Succeed with Citizen Data Scientists? Choose Simple Augmented Analytics

Original Post : NLP Search Ensures Your Users WANT to Adopt Analytics!

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Give Citizen Data Scientists the Tools They Need! https://www.elegantjbi.com/blog/2021/06/03/give-citizen-data-scientists-tools-need/ https://www.elegantjbi.com/blog/2021/06/03/give-citizen-data-scientists-tools-need/#comments Thu, 03 Jun 2021 13:12:11 +0000 https://www.elegantjbi.com/blog/?p=7389 Continued]]> the-right-foundation-will-ensure-citizen-data-scientist-successDon’t Be Intimidated! Citizen Data Scientists Don’t Need Rocket Science!

When you take on the mantle of Citizen Data Scientist, there is a lot to process! Much of the reason business users feel overwhelmed at the idea of the Citizen Data Scientist role is the anticipation of having to learn new tools and techniques to analyze data.

“I am not a data scientist”, “I don’t understand analytics”, “this new role is going to take up all my time”, “my manager doesn’t care about this stuff” – these are just a few of the arguments you will hear when you bring up the concept of Citizen Data Scientists, improved data literacy and data democratization. But, in the real world, the introduction of a Citizen Data Scientist initiative should not be intimidating or overwhelming.

There are many benefits to the Citizen Data Scientist evolution. Here are just a few:

  • The business will base its decisions on facts
  • It is easier to understand and address issues and opportunities
  • Business users can add more value to the business
  • Business users can add skills to their resume and advance their careers
  • Businesses can improve their competitive stance
  • Businesses will be more nimble and agile and ready to respond to the market

All of these benefits depend on the organization being prepared to change its culture and to support Citizen Data Scientists as they take on their new role. One of the most important aspects of this change requires establishing a foundation of augmented analytics solution and providing easy, intuitive methods to access and perform analytics without the need for data scientist or business analyst skills.

With the right self-serve augmented analytics, Citizen Data Scientists can leverage auto-recommendations, suggestions and guidance to choose the right algorithm or analytical technique and visualization techniques to receive clear results suitable for presentation and reporting.

Our Article, ‘Provide the Right Augmented Analytics Solution and Features for Business Users’ will provide more detail on these tools and how to select the right augmented analytics solution for your business users.

If your business is planning a Citizen Data Scientist initiative, you don’t have to do this alone! Contact Us to today or Click Here to explore training for Citizen Data Scientists, designed to help you begin your Citizen Data Scientist journey.

Original Post : The Right Foundation Will Ensure Citizen Data Scientist Success!

 

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Digital Transformation (Dx) Requires Augmented Analytics Technology to Support Business Users! https://www.elegantjbi.com/blog/2021/06/02/digital-transformation-dx-requires-augmented-analytics-technology-support-business-users/ https://www.elegantjbi.com/blog/2021/06/02/digital-transformation-dx-requires-augmented-analytics-technology-support-business-users/#comments Wed, 02 Jun 2021 11:23:56 +0000 https://www.elegantjbi.com/blog/?p=7385 Continued]]> digital-transformation-dx-requires-augmented-analytics-technology-to-support-business-usersIf your business has embraced the concept of Digital Transformation (Dx) and Data Literacy, it must plan for these initiatives in order to ensure that they are successful. The best way to achieve Dx and data literacy is to establish a technology environment that will support and encourage constant change and optimize resources and creativity – all in the service of supporting business goals and objectives.

A Dx and Data Literacy initiative will encompass a technology review, including an assessment and investment in tools to support team members in embracing a data-driven, fact-based process that leverages data and data literacy at every level of the organization.

Restrictive technology tools or tools designed for IT or data scientists will not advance the initiative.

If all team members and roles are to be included in the transition, the transformation must also move business users toward a Citizen Data Scientist role.

The renowned international technology research firm, Gartner, defines a Citizen Data Scientist as, ‘A person who creates or generates models that use advanced diagnostic analytics or predictive and prescriptive capabilities, but whose primary job function is outside the field of statistics and analytics.’

If the business user team is to transition to a Citizen Data Scientist role, the business must first make its systems, solutions and data more accessible and easier to understand. It must ensure performance and scalability for mobile access and create an environment where users want to adopt new tools and techniques to use in everyday tasks.

Team members must have the right easy-to-use self-serve augmented analytics tools – tools that provide guidance and auto-recommendations so users can quickly choose the right visualization techniques and the right predictive analytics without the need for data science skills. The enterprise must look for ways to break down the walls of data silos and integrate data to make it accessible with appropriate security and reporting for all manner of information sharing and collaboration.

As business users become Citizen Data Scientists and embrace the use of data to make decisions and find solutions, the business analyst and Data Scientist team will be free to work on more strategic issues. Augmented Analytics allows business users team to leverage easy-to-use tools that will build their confidence and understanding and act as training mechanisms to help them integrate data and data sharing into the daily culture.

Restrictive technology tools or tools that are only designed for IT or data scientists will not advance a Digital Transformation and Data Literacy initiative. To succeed, the business must include the assessment and investment in augmented analytics tools to support team members and encourage a data-driven, fact-based process that leverages data and data literacy at every level of the organization.

For more information about Digital Transformation and how Augmented Analytics can support the Dx initiative, explore our white papers: Integrate Augmented Analytics And Digital Transformation To Achieve Continuous Business Improvement’, and ‘Preparing Your Organization For Digital Transformation And Data Literacy’.

Original Post : Digital Transformation (Dx) Requires Augmented Analytics Technology to Support Business Users!

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Your Business Data Can Be Popular with Social BI! https://www.elegantjbi.com/blog/2021/06/01/business-data-popular-social-bi/ https://www.elegantjbi.com/blog/2021/06/01/business-data-popular-social-bi/#comments Tue, 01 Jun 2021 13:37:25 +0000 https://www.elegantjbi.com/blog/?p=7374 Continued]]> social-bi-enables-collaboration-sharing-and-data-popularitySocial Business Intelligence Creates a Business User Community!

Everyone over the age of five knows about social networks and social media. No matter which platform you prefer and how you choose to share your thoughts and ideas, you are no doubt engaged in the networking world. When it comes to business intelligence and analytics, there is no reason you can’t employ the same techniques to share, collaborate, create and innovate.

The world of social business intelligence is exploding and, with Social BI, your business users can enjoy data democratization, improve data literacy and make better decisions. Business users can access a BI tool 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.

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’, 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.

If you want your business users to promote, collaborate and adopt the use of data, choose a Modern Business Intelligence Self-Serve BI Tool and solution that encourages Social BI with tools designed to enable easy sharing, rating and innovation. Visit our Blog to find out more about the Opportunities Provided By Social BI.  

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Machine Maintenance Using Smarten Assisted Predictive Modelling! https://www.elegantjbi.com/blog/2021/05/31/machine-maintenance-smarten-assisted-predictive-modelling/ https://www.elegantjbi.com/blog/2021/05/31/machine-maintenance-smarten-assisted-predictive-modelling/#comments Mon, 31 May 2021 09:02:00 +0000 https://www.elegantjbi.com/blog/?p=7326 Continued]]> machine-maintenance-using-smarten-assisted-predictive-modelling1. Machine Maintenance is always cheaper then downtime!

Sooner or later, all machines run to fail and monitoring the condition of the machine is crucial for any enterprise as any unplanned downtime can have greater economic impact resulting in reduced productivity and ultimately losing the customers. That being so, a regular way to keep the machine in a good condition is to timely monitor it and detect the patterns to predict the breakdowns. Predictive maintenance of machines helps in evaluating the timely collected machine data in order to gage its condition and predict when maintenance work is needed.

2.  Better the data, Profound is the insight!

Now that we have a broader understanding of the machine maintenance use case, the next apparent step is to comprehend the data needed for exploratory analysis. Our dataset will be parametric and there will be many parameters upon which our target to know whether the machine will fail will rely upon. By and large, considering IOT sensor data, wherein the machine contains many sensors which helps it to function properly, our dataset must contain the timely measurements from each sensor in order for us to track the patterns for machine failure. Also, the majority of machines have dependency upon its surrounding environment, so in many cases, recording timely temperature and humidity conditions and other affecting parameters can also play an essential role in determining machine breakdown. It goes without saying that our dataset must also have a date and time field intended to remark the failure patterns, previous date and time when the machine failed to perform and also sometimes to speculate the remaining life of the machine.

3.   Smarten Assisted Predictive Modelling: Take the guesswork out of planning!

Every organization must plan and forecast results. If the enterprise is to succeed, it must strive for accuracy and identify trends and patterns in the market and industry that will help it to predict future results, plan for growth and capitalize on opportunities. Smarten Insight provides predictive modelling capability and 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. Let’s get a taste of how Smarten Assisted Predictive Modelling can equip business users in providing insights upon machine maintenance tasks.

4.   If we have data, let’s look at it!

Any kind of analysis initiates by looking upon the data. Keeping a note that we already have a predefined dataset uploaded to Smarten, let’s get started slowly but surely into how to open a loaded dataset in Smarten and make analysis. 

  • Open a loaded dataset in Smarten:
  1. Go to Open -> Data in top right dropdown in Smarten
  2.  Search for the dataset to analyse
  3.  Examine the dataset

On opening the dataset, you will be able to view the attributes (columns) for the machine maintenance use case and also be able to draw some superficial insights by pondering upon the dataset. Your dataset will look as follows:

machine-maintenance-dataset-view

Machine Maintenance Dataset View

 

  • Perform Elementary Data Analysis from Dataset:

From the dataset, we can perceive that there are multiple factors (i.e., attributes or columns) which may have an effect on our target variable (i.e., failure). Machine failure is evidently splitted into two categories (i.e., yes and no) based upon whether it has undergone breakdown at the date and time when the corresponding observations were made. Also, on catching a sight on the dataset, we can figure out that here we are dealing with a very generic dataset where we have many sensors impacting our machine failure. These sensors can be temperature sensors, humidity sensors, pressure sensors, proximity sensors, level sensors, accelerometers, infrared sensors, optical sensors, gyroscope sensors and so on depending upon the machine of interest. Here we are not limiting our study for any specific machine but aim at exploring the use case in general with Smarten Assisted Predictive Modelling. 

Now it’s time to gear up with some amazing data analytics using Smarten!

5.   The goal is to turn Data into Information and Information into Insight!

Smarten provides us with a feature of Smarten Assisted Predictive Modelling which reduces the time and skills required to produce accurate, clear results, quickly using machine learning. With Smarten Insights, the user will simply have to select the dataset to be analysed and the broad category of the algorithm to be applied. That’s it! The system will interpret the dataset, select important columns of data, analyse its type and variety and other parameters and then use intelligent machine learning to automatically apply the best algorithm in the selected algorithm technique in order to provide data insights.

Let’s gradually familiarize ourselves with Smarten Insights!

5.1 Create a fresh New Smarten Insight:

Go to New -> SmartenInsight Menu in the dropdown provided in the top right corner of the Smarten Dashboard.
creating-a-new-smarten-insight

Creating a new Smarten Insight

 

5.2 What do you want to do? Choose Algorithm Technique Accordingly:

The following window opens on selecting Smarten Insight:

choosing-suitable-algorithmic-technique-from-smarten-insight

Choosing suitable Algorithmic Technique from Smarten Insight

 

Smarten has a provision wherein users can select the algorithm technique best sufficing their use case and provide quality results for the chosen technique. In order to select the best category of algorithm, users need to have some basic data literacy.

We need to choose the best algorithm technique from the following list:

  • Forecasting
  • Classification
  • Clustering
  • Correlation
  • Regression
  • Hypothesis Testing
  • Frequent Pattern Mining
  • Descriptive Statistics

Let’s put our thinking caps on and try to recognize the best suit algorithm technique for our Machine Maintenance dataset!

The high-level goal is pretty clear that we are keen to predict whether the given machine will breakdown provided other parameters. So, we are basically interested in splitting (or categorizing) our outcome based upon whether the machine will fail(yes) or not (no). This suggests that our problem can be prototyped as a classification task because our outcome domain is finite (i.e., outcome has only two values, failure and non-failure).

Acknowledging this study, we can carry forward with our process of getting insights using Smarten by selecting the Classification model from the list of other algorithmic techniques. Smarten also has a provision to provide description against each algorithm technique along with a basic example to enhance data literacy and assist us in algorithm selection.

5.3 Select the data for Performing Classification upon:

  • Search for the dataset (In our case it’s named Machine Maintenance Dataset) from the search bar.
  • Select the radio button against the dataset of interest.
  • Click on the next button at the bottom to advance the procedure.

perform-search-operation-for-dataset-of-interest

Perform Search Operation for Dataset of Interest

 

5.4 Smarten identifies target (outcome variable) and predictors (dependent variables) for us:

smarten-cleverly-identifies-the-targets-and-predictors-from-chosen-dataset

Smarten cleverly identifies the targets and predictors from chosen dataset

 

5.5 Select the target and predictors based upon your choice:

After Smarten identifies the target and predictor attributes, users still have the flexibility to make alterations.

auto-suggested-attributes-by-smarten-insight

Auto Suggested attributes by Smarten Insight

 

5.5.1      Target selection:

We would want failure to be our target variable to fulfil our motive of figuring out whether or not the machine will fail provided the other parameters. Hence, we can select that from the dropdown indicating ‘Select the target variable containing predefined classes or groups. For this scenario, smarten has cleverly identified failure to be a target feature for us and we retain this selection.

making-target-selection-for-classification

Making Target selection for classification

 

5.5.2 Identify recommended predictors for selected Target:

Smarten has a feature wherein it selects the significant predictors for the chosen target using machine learning techniques. The predictors highlighted in yellow are those which showcase significant impact upon our target variable (i.e., Failure).

significant-predictors-auto-selected-by-smarten

Significant Predictors auto selected by Smarten

 

5.5.3     Perform changes in Predictors (Optional):

Now that Smarten has equipped us well with the significant predictors, we still have a choice to add or remove the predictor selections based upon our interest. 

smarten-provides-users-flexibility-for-predictor-selection

Smarten provides users flexibility for predictor selection

 

The left side table corresponds to the available predictor list and the right side indicates the selected attributes which shall be provided for processing the machine learning model. The icon beside each attribute in the available attribute column leads them to the selected attribute columns which are to be processed by our classification model. Similarly, users have flexibility in removing them from the selected attribute column by the – icon. In case of selecting all the available attributes for processing, icon at the top serves the purpose. icon serves the purpose of deselecting all the selected attributes. Apart from this, Smarten also has a provision wherein the users can directly search for any available attribute by name from the search bar. This essentially helps when there is a huge number of available attributes and users want only a handful of them to be quickly pre-processed!

From the default selection, we get to acknowledge that Sensor2 has significant impact upon machine failure, but suppose we want to designate the machine breakdown based upon Sensor4 (say proximity sensor), then we can make predictor selection accordingly. Currently taking into account the default selection, let’s jump further for our analysis.

5.6  Run model on full or sample data option:

Sometimes, perhaps in most cases, we have to deal with huge data. Our machine learning model may take a longer period to run and provide us with the required outcome. In such a scenario Smarten provides us with an option of using sampled data wherein it smartly makes a sample of data resembling the full data which may give us the same result set as we would have obtained in the full data. 

But for the current scenario, we can use the full data to feed to the model by selecting the full data mode radio button.

full-data-mode-and-sample-data-mode-option-in-smarten-insight

Full data mode and Sample data mode option in Smarten Insight

 

5.7 Want to run classification on entire dataset option:

Often users are keen at making analysis upon some filtered data. Say for instance, what if we were to examine machine breakdowns only in the month of March, then we can make such a filter upon our data, keeping all the other predictors as they are. For such a filtration, Smarten provides us with an option to run classification on the entire dataset or filtered dataset.

filtering-data-to-be-processed-for-classification-technique

Filtering Data to be processed for Classification Technique

 

If we have no such filtering condition in mind, we can carry further with yes option. After performing the above effortless process, finally click on the next button which will let Smarten designate the best fit classification algorithm using machine learning tactics for our dataset.

smarten-recommends-the-best-fit-classification-algorithm

Smarten recommends the best fit classification algorithm

 

6.   So that was the recipe, Now let’s taste it!

On clicking the next button, Smarten leads us to the results and interpretations for our dataset without investing much of our efforts! And Smarten opts Classification tree algorithm as the best suited algorithm for our data selection with an accuracy as high as 99.84%. In a broader sense, Classification is the root algorithm technique but there are numerous algorithms which come under classification category. Smarten automatically works upon a list of widely used classification algorithms and designates the best choice model for our dataset.

smarten-opts-classification-tree-as-the-best-suite-algorithm-for-provided-dataset

Smarten opts Classification tree as the best suite algorithm for provided dataset

 

7.   The purpose of Visualization is to obtain Insight!

Graphical representation of our data will help us look upon the trends and patterns in the data in an easy to understandable manner. In order to accomplish this, Smarten provides its users with smart visualizations to draw insights.

tree-plot-visualization-by-smarten-assisted-predictive-modelling

Tree plot visualization by Smarten Assisted Predictive Modelling

 

Classification tree plot visualization makes it easy to comprehend the parameters essential for obtaining a particular outcome. From the current visualization we can make out that temperature being the root node of the tree has utmost importance in impacting machine failure, followed by a bunch of further conditions as we traverse downwards. The depth of the tree indicates the number of conditions to be captured by the predictor variables in order to come to a conclusion. Deeper we allow the tree to grow, the more complex our model is. Smarten has a provision to allow its users to set the tree depth by fine tuning the depth parameter. On turning off the auto mode in the Fine-tune parameters option, we have flexibility in setting the max depth of the tree plot. Also, by default the tree doesn’t travel till its complete depth but only till the best optimal path depth. So, the users can explore the tree splits by clicking on the icon provided at each internal node.

fine-tuning-of-classification-tree

Fine Tuning of Classification Tree

 

Apart from the tree plot, Smarten also provides us with average measures by target classes histogram for us to analyse how average measures are distributed across target variable classes. For the ongoing use case we perceive that in order to avoid machine failure, the average hours since the machine’s previous breakdown must be higher. Making us interpret that if the machine has not undergone failure in the immediate past, then it tends to survive longer. Note that this is not a generalized assumption we could make but is solely drawn from the data we provided!

average-measures-by-target-classes-bar-plot-by-smarten-assisted-predictive-modelling

Average measures by Target classes bar plot by Smarten Assisted Predictive Modelling

 

Smarten Assisted Predictive not only provides its users with easy to grasp visualizations but also provides us with a handy straightforward interpretation in layman language for better understanding upon the outcome so that its users can make business decisions effectively.

8.   Having ample data, we starve for earnest insights!

Out of many features provided, Smarten Insight provides 4 key sections which will assist us in better interpretation of our data. Them being:

  1. Interpretation
  2. Model Summary
  3. Single Apply / Mass Apply
  4. Simulation

A. Interpretation:

The interpretation section provides the users an in-depth insight from the dataset in easy-to-understand language. It provides us with the entire profile of predicted classes based upon the selected predictors. Furthermore, it also provides us the effect of each and every attribute on the target (i.e., failure) both qualitatively (using tabular representations) and quantitatively (with average measure values). Having a look upon the interpretation section would help us acknowledge the key predictors as well as impact of underlying classes if any on the target and the average measure values for our targeted outcome. For our case study, we can conclude that temperature is the best factor influencing machine failure with it having a higher average value to be in a breakdown state.

classification-tree-algorithm-interpretation-for-machine-maintenance-dataset

Classification Tree Algorithm Interpretation for Machine Maintenance dataset

 

B. Model Summary :

The model summary section contains a more technical summary of the data. This is specially put to Smarten insight to provoke data Literacy. For instance, for carrying out classification of the model, data scientists make conclusions by making interpretations from the obtained confusion matrix, accuracy score and the error rate. Smarten provides us even this feature to validate the technical aspect with the generalized interpretations.

model-summary-for-classification-tree-algorithm-by-smarten-assisted-predictive-modelling

Model Summary for Classification Tree algorithm by Smarten Assisted Predictive Modelling

 

C. Apply the model:

Using the apply feature, the users can select/enter static values corresponding to every predictor variable and Apply the inputs in order to validate our interpretation and assist us in predicting the outcome (here whether the machine will fail) based upon any chosen feature set. 

apply-the-model-option

Apply the model option

 

As the outcome of the apply feature, users can get to know the residing category (in this case machine failure yes or no) when the entered values are taken into consideration. Apart from this, we also come to the accuracy percentage (here 99.84%) with which we can assure our result. Also, we can sense that our interpretation quite resembles the outcome of the apply feature.

predicted-result-by-applying-the-model

Predicted Result by applying the model

 

D. Simulation:

Simulation modelling feature serves at analysing the model prototype to predict its performance in real world scenarios. It helps the users understand under what conditions the outcome will withstand a particular outcome and make predictions in real time. 

Say for instance, the user wants to make the settings of all the predictors in real time and make predictions, then the simulation feature can be used. We will find the icon for simulation on the top right corner of the screen. We could opt to scroll the feature values and predict whether the selected bunch of settings leads the machine towards failure condition or not with ease.

simulation-feature-to-predict-outcome-in-real-time

Simulation feature to predict outcome in real time

 

As it’s evident from the screen that there is a default setting made for each predictor unlike the Apply feature, and also the outcome when those default parameters are selected. One can change the parameters from the simulation and obtain the resulting category accordingly along with the most influencing combination leading to that particular category selection.

9.   Every Choice we make has an end result!

Apart from the best fit algorithm automatically opted for by Smarten, the user also has a privilege to play around with other listed algorithms and review results produced by them for further analysis. Users can test the accuracy and other metrics of varied algorithms and make a comparative review upon all as well as make better explorations.

To make analysis and draw conclusions upon algorithms apart from the Classification Tree, just select the algorithm of interest on the left side menu list as follows (say for instance Binary Logistic Regression selection):

Note: Smarten makes sure that its users are well aware that the default selection is the best choice if the users want to save time on that grounds. But if a user wants to explore other algorithms, they can select the yes option and proceed.

explore-the-machine-maintenance-outcomes-based-upon-binary-logistic-regression-algorithm

Explore the machine maintenance outcomes based upon Binary Logistic Regression Algorithm

 

On selection, we will be driven to all the results, visualizations and interpretation of the use case as illustrated by the Binary Logistic Regression Algorithm.

outcome-from-binary-logistic-regression

Outcome from Binary Logistic Regression

 

It’s evident from the first glance that Binary Logistic Regression is not the best choice for our data owing to its lowered accuracy score compared to previously chosen Classification Tree algorithm by Smarten Assisted Predicted Modelling.

One can perform identical operations like lookup the interpretation, model summary etc. in all the algorithms and take the beneficial insights. After all every algorithm can provide us with inquisitive insights!

Also, it’s not always a scenario wherein any algorithm can be applicable to any dataset. There are some regulations for every machine learning algorithm which the data must satisfy in order to perform analysis with. Smarten has provided apt pop-ups if our data is not suited for the algorithm selection.

10.  Ready, Set, Go!

Now that we have a made a step-by-step approach in understanding the flow of making analysis for the Machine Maintenance use-case using Smarten Assisted Predictive Modelling with a generic sample data, we are all set to make similar process in tackling any other dataset with provided predictors and targets as per business requirements and create corresponding model to analyse the outcomes as well as apply this model to provided machine data to understand whether the machine will fail based upon the sensor recordings and affecting environmental factors!

Note: This article is based on Smarten Version 5.1.1. This may or may not be relevant to the Smarten version you may

Original Post : Machine Maintenance Using Smarten Assisted Predictive Modelling!

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eCommerce Analytics is Mandatory to Business Success! https://www.elegantjbi.com/blog/2021/05/27/ecommerce-analytics-mandatory-business-success/ https://www.elegantjbi.com/blog/2021/05/27/ecommerce-analytics-mandatory-business-success/#comments Thu, 27 May 2021 13:25:10 +0000 https://www.elegantjbi.com/blog/?p=7370 Continued]]> dont-guess-at-ecommerce-results-you-need-a-strategyAre You Succeeding at eCommerce? If You Don’t Know, You NEED Integrated Analytics!

When eCommerce and online shopping businesses reflect on their results, it can sometimes be difficult to decide on a strategy going forward. You may be able to produce reports and have a good grasp of ‘what sells’ but if you are to compete in this incredibly competitive market, you need metrics. You need to make fact-based decisions.

For those businesses using Shopify (one of the most popular eCommerce solutions), there is an option to integrate analytics – and those analytics are simple enough for an average business user to perform and to understand and use for decision, presentation and reporting. Out-of-the-box reports and dashboards allow users to dive deep into data, drill down and through data and interact with data without frustration.

eCommerce dashboards and reports help the organization to manage business health and identify opportunities to expand and grow the business with sales reports, sales trends and sales contribution, advanced key performance indicators (KPIs), a clear picture of Customer Lifetime value (LTV), Customer Cohorts, Customer Loyalty and Product Cross Sell. Businesses can see what is selling, where there are challenges or opportunities, what products might be bundled to create more value and result in more sales conversion, whether pricing policies are working and more.

Businesses can track KPIs by customer, by order, by average customer order, customer value and even customers who process the most returns. Users can review, monitor and manage data by brand, product and product variable and can review cumulative sales, performance by country, and customer, cart abandonment and other details.

If you are struggling to understand your data and you want to make the best, most accurate decisions for your business,  and provide clear, simple tools for your business users, you can Integrate Shopify With Augmented Analytics, and provide users and your business managers with the tools they need to compete and succeed, AND you can enjoy a free trial to evaluate the solution and determine the business benefits.

Contact Us to today to find out how SmartenApps for Shopify can help you achieve your goals.

Original Post : Don’t Guess at eCommerce Results. You Need a Strategy!

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Want to Know Your Business Future? Get Auto Insights! https://www.elegantjbi.com/blog/2021/05/25/business-future-auto-insights/ https://www.elegantjbi.com/blog/2021/05/25/business-future-auto-insights/#comments Tue, 25 May 2021 09:19:30 +0000 https://www.elegantjbi.com/blog/?p=7367 Continued]]> gain-insight-about-key-influencers-own-your-business-futureRead the Tea Leaves For Business Results with Key Influencers and Auto Insights!

Even if your business results are on target, even if you feel you have a good handle on how to run the business and what your customers want, there is always room for improvement, and the issues that arise can often come out of nowhere. Even the best business managers cannot anticipate and see how every detail of the business might come together to create a challenge OR an opportunity.

What if you could see the trends and identify the anomalies? What if you could reveal the secret patterns and issues bubbling beneath the surface? What if you could map your targets with improved success? AND what if your business users could leverage tools to help you achieve these goals without needing a background in data science! Tools like Auto Insights and Key Influencer Analysis can help!

Innovative, interactive tools designed in an augmented analytics environment allow a business user to gather information, establish metrics and key performance indicators (KPIs), identify crucial volatility and anomalies, and receive auto-suggestions and information to clearly identify the root cause of problems and target opportunities. With these tools business users can quickly establish KPIs and target metrics and identify the Key Influencers and variables for the target KPI. Once the KPI is created, the business user can stay on top of results and identify issues immediately with alerts and reports, delivered by email or portal, at a defined frequency. Results are delivered with visual/graphic illustrations, a clear explanation and links to dive deep into the data for further analysis.

If you want to leverage Auto Insights and Key Influencer Analytics with simple tools to understand and manage the variables that impact targets and results, you can start today.

 

Original Post : Gain Insight About Key Influencers. Own Your Business Future!

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Ease of Use for Augmented Analytics is Key! https://www.elegantjbi.com/blog/2021/05/20/ease-augmented-analytics-key/ https://www.elegantjbi.com/blog/2021/05/20/ease-augmented-analytics-key/#comments Wed, 19 May 2021 21:17:28 +0000 https://www.elegantjbi.com/blog/?p=7334 Continued]]> citizen-data-scientists-thrive-with-augmented-analyticsWant to Succeed with Citizen Data Scientists? Choose Simple Augmented Analytics!

Gartner has placed an increased focus on augmented analytics and solutions that support data democratization and business user transformation to the Citizen Data Scientist role. It predicts that those organizations that engage in Citizen Data Scientist initiatives will outperform businesses that do not take this approach and they will be more competitive and better prepared, by increasing productivity, optimizing resources and making better decisions. As your business competitors embrace this evolution, your organization must seriously commit to the Citizen Data Scientist concept and to the Augmented Analytics solution approach that will support the Citizen Data Scientist.

The Citizen Data Scientist approach is crucial to sustained competitive advantage and to nurturing human resource assets, improving productivity and making the right decisions at the right time. Businesses and users can get ahead of the curve in the market and enable true collaboration.

Augmented analytics allows your business users to quickly find answers and solve problems and to identify opportunities. You can untangle quality and maintenance issues, refine customer targeting and marketing optimization, make appropriate financial investment decisions, and even use external data to analyze trends and patterns and make forecasts and predications. If the business intends to innovate and create an agile environment in which it can move quickly and remain competitive, it must move with precision and focus to create an environment in which Citizen Data Scientists can thrive and provide tools that will be easy for them to adopt and to use for collaboration.

If your business is planning to implement a Citizen Data Scientist initiative, it is important to select an Augmented Analytics software suite that will encourage data literacy and support digital transformation and your business users as they transition into Citizen Data Scientists.  Contact Us today to get started, and explore our bonus content here: Before You Deploy a Citizen Data Scientist Initiative, Understand What That Means.’

Original Post : Citizen Data Scientists Thrive with Augmented Analytics!

 

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Smarten Support Portal Updates – May – 2021! https://www.elegantjbi.com/blog/2021/05/19/smarten-support-portal-updates-2021/ https://www.elegantjbi.com/blog/2021/05/19/smarten-support-portal-updates-2021/#comments Wed, 19 May 2021 12:51:53 +0000 https://www.elegantjbi.com/blog/?p=7319 Continued]]> smarten-support-portal-updates-may-2021We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. Smarten Application Security: CSRF vulnerabilities and solutions
  2. Smarten Application Security: Clickjacking vulnerabilities and solutions
  3. Assisted Predictive Modelling Use cases

Forum Topics

  1. Smarten Application Security: How do we prevent CSRF vulnerabilities in Smarten?
  2. Smarten Application Security: What is Clickjacking vulnerability and how to prevent it in Smarten?

Usecases

  1. SSDP: Derive monthly closing balance of various items from yearly opening balance and their monthly transactions data

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

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Citizen Data Scientists Need to Understand Their Role! https://www.elegantjbi.com/blog/2021/05/13/citizen-data-scientists-understand-role/ https://www.elegantjbi.com/blog/2021/05/13/citizen-data-scientists-understand-role/#comments Thu, 13 May 2021 15:24:31 +0000 https://www.elegantjbi.com/blog/?p=7315 Continued]]> business-users-must-understand the-citizen-data-scientist-roleBefore You Deploy a Citizen Data Scientist Initiative, Understand What That Means!

When a business takes on the task of transforming business users to Citizen Data Scientists, they might have very clear goals mind but they may not have a firm grasp on what the role means or how to provide the business user with an understanding of what the role will be (what it will not be) and how it will change their day-to-day work.

Let’s take a look at the role, who will take on the role and how it will work.

Citizen Data Scientists are not business analysts or data scientists – they are business users and team members within the organization. The typical profile of an ideal Citizen Data Scientist is a person who is respected within the organization, and often shares data and information with other users to collaborate and produce outcomes that are designed to achieve goals and objectives and produce a successful outcome. These individuals may already be ‘power users’ of business applications and may have developed and reported or presented data to others with an eye toward clarifying their decision-making. Citizen Data Scientist candidates may also be IT team members who are interested in data science.

One of the most important tasks a Citizen Data Scientist will take on is to use augmented analytics; that is analytics that provide simple recommendations and suggestions to help users easily choose visualization and predictive analytics techniques from within the analytical tool without the need for expert analytical skills. When a Citizen Data Scientist uses these tools, the resulting analysis can be combined with the professional knowledge and specific domain skills of the individual to better understand and gain insight into trends, patterns, issues and opportunities and improve time to market, accuracy of predictions, and metrics and measurements. Adopting these tools and techniques and actively engaging in augmented analytics allows the Citizen Data Scientist to more effectively interact with and collaborate with the IT team and data scientists to prepare data and use data in use cases, and to refine outcomes and improve data-driven decision making across the enterprise. Our Article, ‘Provide the Right Augmented Analytics Solution and Features for Business Users’ will provide more detail on these tools and how to select the right augmented analytics solution for your business users.

The ideal candidate for a Citizen Data Scientist role is someone who may need external data to do their job and make good decisions, and may already be using tools like Excel at a ‘power user’ level. The organization should nominate business users who are respected members of the business community and curious by nature. Team members who are willing to act as champions for improving the effectiveness and efficiency of workflow and processes, and those who enjoy collaboration and liaison roles are ideal candidates.

If your business is planning a Citizen Data Scientist initiative, you don’t have to do this alone! Contact Us to today or Click Here to explore training for Citizen Data Scientists, designed to help you begin your Citizen Data Scientist journey.

Original Post : Business Users Must Understand the Citizen Data Scientist Role!

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What COVID-19 Has Taught Us About the Importance of Digital Transformation in Business! https://www.elegantjbi.com/blog/2021/05/12/covid-19-taught-importance-digital-transformation-business/ https://www.elegantjbi.com/blog/2021/05/12/covid-19-taught-importance-digital-transformation-business/#comments Tue, 11 May 2021 19:11:55 +0000 https://www.elegantjbi.com/blog/?p=7311 Continued]]> what-covid-19-has-taught-us-about-the-importance-of-digital-transformation-in-businessThe Corona Virus (COVID-19) has taught us many hard lessons, not the least of which is the importance of being prepared, the importance of anticipating what may be just around the corner, and the importance of being able to theorize, hypothesize and predict. All of these skills are amply supplied by data scientists and analysts. But, in today’s world, it is crucial to prepare and educate the average business team member to improve data literacy and engage in digital transformation (Dx). As the idea of data popularity becomes more mainstream, and team members and industries embrace data sharing and fact-based decision making, our understanding of looming issues, collaborative possibilities and possible solutions to address these issues will improve and so will our response time and efficacy.

There is nothing like a global crisis to incite panic but, when you are facing large, multi-faceted issues, it is important to work in an environment that is prepared to provide the data and the views you need to address the issues you face.

In businesses and government agencies where Digital Transformation (Dx) is ongoing, the business has a much better foundation for understanding financial and geo-political issues, security problems, weather-related emergencies and delays and the effects of these problems on stakeholders and supply chain.

Data, analytics and an agile Dx workflow and environment weighs heavily on success in these instances.

As long as we are using COVID-19 as an example of a complex issue that requires rapid response, the ability to plan in an uncertain future and the need to work with facts to ensure appropriate action, let’s dive into this issue in a bit more detail. As we work through this example, consider your most crucial business issues, the changing market in which you compete and your need for timely, accurate data. You will find the comparisons to be thought provoking!

A recent survey revealed that:

  • Nearly 50% of businesses are using data analytics more now than they did before the pandemic. They use the data to plan and address issues of revenue decline, resources issues etc.
  • Small businesses (those with 200 or fewer employees) are using analytics and data even more than large enterprises. This is not really surprising, since small businesses have less fat to cut and are at more risk of losing customers and team members during this crisis.
  • Over 60% are using analytics in operations, 50% are using it for sales, over 40% are using it in product support and over 55% are using it in financial support.
  • Over 50% of all companies are using data to improve efficiency and address resources and workflow issues.
  • Over 60% of all companies are increasing or maintaining their data analysis budget. That might surprise you, but it shouldn’t. There is nothing more motivating than a global crisis and, in the case of ongoing business management, there is nothing more motivating than dramatic changes in the market or in customer response to products and services.

Investing in Digital Transformation, technology infrastructure, systems, software and user data literacy ensures that the business is working with up-to-date, accessible systems and tools that are easy for team members to embrace so every team member is empowered and accountable for data-driven decisions and recommendations. When a crisis hits, e.g., cyber-attack, significant market shift or competitive initiative, OR loss of customers or revenue to an economic downturn or a global pandemic, a business must have the tools, processes and technology in place to respond with agility and speed. During such a crisis, there is no time to implement changes that will take months or years to execute.

So, what have we learned from COVID-19?

A lot.

But, perhaps the most critical lesson for businesses trying to survive or emerge from this pandemic is that digital transformation and improved data literacy are initiatives for NOW. If your business wants to be prepared to address the lingering after effects and permanent market changes that will result from this pandemic, the time to implement digital transformation (Dx) and data literacy initiatives is NOW!

If your business is trying to survive and thrive during these significant market and business shifts, it must build a cohesive, stable foundation to help the business succeed and thrive in uncertain times. For more information about Digital Transformation explore our white papers: ‘Understanding Digital Transformation: What it Is, What it is Not’‘Preparing Your Business for Digital Transformation and Data Literacy.’

Original Post : What COVID-19 Has Taught Us About the Importance of Digital Transformation in Business!

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Augmented Analytics Solution: Pass or Fail? https://www.elegantjbi.com/blog/2021/05/04/augmented-analytics-solution-pass-fail/ https://www.elegantjbi.com/blog/2021/05/04/augmented-analytics-solution-pass-fail/#comments Tue, 04 May 2021 16:39:50 +0000 https://www.elegantjbi.com/blog/?p=7303 Continued]]> augmented-analytics-must-be-suitable-for-your-business-usersChoose an Augmented Analytics Solution Your Business Users Will WANT to Adopt!

Your senior management team has decided to engender digital transformation and improve data literacy across the enterprise. As a primary step in this process, the team wants to implement an augmented analytics solution that will encourage business users to get involved in data analytics, to use data to make fact-based decisions and to present, report and collaborate using real, current and clear information that will support collaboration and improve results.

All of this sounds great but, if you don’t choose an augmented analytics solution to support your needs and the needs of your users, you are not likely to achieve the results you want and need. The advantages of advanced analytics are numerous but a failure to launch, a failure to achieve user adoption will not help anyone!

The augmented analytics solution you select should include:

  • Smart Data Visualization with auto-recommendations to select the right visualization for the data type, volume, etc.
  • Assisted Predictive Modeling with suggestions to ensure the user selects the right analytical technique
  • Self-Serve Data Preparation with easy-to-use tools that will allow users to gather and prepare data for analysis
  • Clickless Analytics with simple Google-type search techniques Simple Business User Data Analytics
  • Auto Insights interprets datasets, selects columns of data, and uses machine learning to apply the right analytical technique
  • Key Influencers allows business users to establish KPIs, target metrics and identify key influencers and variables for the target KPI
  • Comprehensive Reporting with simple programming/scripting to define templates and produce reports for delivery by email
  • Modern Business Intelligence with personalized dashboards, KPIs, deep dive analytics, social business intelligence, what-if analysis etc.

If you want to make encourage your business users to adopt and leverage analytics, you will need to ensure that the Augmented Analytics solution you choose is suitable for the average business user AND will produce the clarity and results you need.  Contact Us to get started.

Original Post : Augmented Analytics MUST be Suitable For Your Business Users!

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Business Users Can and Will Adopt Self-Serve BI Tools! https://www.elegantjbi.com/blog/2021/05/03/business-users-adopt-self-serve-bi-tools/ https://www.elegantjbi.com/blog/2021/05/03/business-users-adopt-self-serve-bi-tools/#comments Mon, 03 May 2021 15:59:35 +0000 https://www.elegantjbi.com/blog/?p=7297 Continued]]> users-will-want-to-use-the-right-self-serve-bi-toolsChoose the Right Self-Serve BI Tools and Ensure User Adoption!

When your business users are asked to take on yet another responsibility, they are likely to balk. Most companies are short-handed and expect more of their team members than ever before. There are a lot of good reasons to initiate data democratization and engage in digital transformation to modernize and improve the enterprise and to improve results. If the business can encourage data sharing and collaboration, it can also improve the shared knowledge of the team and create accountability and empowerment. In so doing, the business can leverage the knowledge and skill of each team member and ensure that every business user is working to their full potential with the all the information they need to solve problems and to capitalize on opportunities.

BUT, if your business intends to take this route, know this: team members WILL balk if you ask them to take on more responsibility or if you expect them to learn new, complex software solutions that take up their time and provide no discernable value to them in their role. That’s where self-serve business intelligence comes in! Self-serve BI tools are designed FOR business users to ensure that they will:

  • Benefit from the use of the tools
  • Perceive the value of the BI tools in helping to make decisions
  • Streamline their processes and help them get the job done quickly and efficiently
  • Help them share with other users to make decisions and manage processes
  • Advance their knowledge and make them more valuable in their role
  • Give them measurable results and information to make recommendations

When selecting a self-serve business intelligence solution, be sure to choose a reputable, dependable solution that provides tools specifically designed for business users with average technical and analytical skills. Features and navigation should be clear and intuitive and the foundation of analytics should be sophisticated enough to provide detail and allow for a deep dive, while still giving the user an easy path to gather and analyze data and to present it in a manner that makes sense to them and to their audience for reporting and for presentation.

Choose a Modern Business Intelligence Self-Serve BI Tool and solution to ensure that your users will adopt and leverage these tools to make fact-based decisions, to gather, analyze, present and share results.

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Smarten Launches Clickless Analytics Natural Language Processing (NLP) Search Analytics for Business Users! https://www.elegantjbi.com/blog/2021/05/03/smarten-launches-clickless-analytics-natural-language-processing-nlp-search-analytics-business-users/ https://www.elegantjbi.com/blog/2021/05/03/smarten-launches-clickless-analytics-natural-language-processing-nlp-search-analytics-business-users/#comments Mon, 03 May 2021 12:59:46 +0000 https://www.elegantjbi.com/blog/?p=7293 Continued]]> smarten-launches-clickless-analytics-natural-language-processing-nlp-search-analytics-for-business-usersSmarten announces its Smarten Clickless Analytics, a Natural Language Processing (NLP) Search Analytics tool designed for every business user, no matter their technical expertise or data skills. Natural Language Processing Search Analytics (NLP) is an easy-to-use search analytics technique that allows business users to create complex searches without endless clicks and complex navigation and commands. Using this familiar Google-type Clickless Analytics, users can leverage these tools to discover trends and patterns, receiving results in simple, clear language the user can understand.

Smarten CEO, Kartik Patel says, “This natural evolution of Smarten Augmented Analytics combines the sophisticated, in-depth of advanced analytics and the ease-of-use and assured user adoption of simple, Google-type searching so business users can ask a simple question like . ‘Who sold the most fruit juice in Phoenix, Arizona in the winter of 2019?’ and get an answer in natural language, just as they might communicate when asking a question in a meeting.’

There is no need for extensive training or skills. The business can democratize the use of data and encourage data literacy. Business users do not need to create complex searches or be frustrated by endless clicks and complex navigation and commands. Clickless Analytics search solution provides tools to search for answers with insight and context including synonyms, phonetics and abbreviation, people and places, time series analytics, the high, the low, the best and the worst, as well as seasonality, including festivals and holidays – and the system understands the dates and date ranges of the season.

“This innovation in search analytics allows users to quickly and easily get to the information they need and to gain insight to make decisions,” says Patel. “Business users have a job to do and, if they are to meet expectations and become the asset they can be for the business, they need a search mechanism that ‘thinks and acts’ like human communication. With Clickless Analytics, business users can just ask a question and get an answer in natural human language.”

Smarten Clickless Analytics  is a crucial part of the Smarten augmented analytics suite that now complements the suite of Smart Data VisualizationAssisted Predictive Modeling, and Self-Serve Data Preparation with machine learning and many other sophisticated features.

Original Post : Smarten Launches Clickless Analytics Natural Language Processing (NLP) Search Analytics for Business Users!

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Data Warehouse, Data Lake, Data Mart, Data Hub: A Definition of Terms! https://www.elegantjbi.com/blog/2021/04/28/data-warehouse-data-lake-data-mart-data-hub-definition-terms/ https://www.elegantjbi.com/blog/2021/04/28/data-warehouse-data-lake-data-mart-data-hub-definition-terms/#comments Wed, 28 Apr 2021 16:54:55 +0000 https://www.elegantjbi.com/blog/?p=7286 Continued]]> data-warehouse-data-lake-mata-mart-data-hub-a-definition-of-termsIn today’s business environment, most organizations are overwhelmed with data and looking for a way to tame the data overload and make it more manageable to help team members gather and analyze data and make the most of the information contained within the walls of the enterprise. When a business enters the domain of data management, it can often get lost in a morass of terms and concepts and find it nearly impossible to sort through the confusion. Without a clear understanding of the various categories and iterations of data management options, the business may make the wrong choice or become so mired in the review process that it will give up its quest.

This article is the first of two on the topic of Data Management. Here, we will define the various terms so that a business can more easily understand the types of data management solutions and tools. In the second of these two articles entitled, ‘Factors and Considerations Involved in Choosing a Data Management Solution’, we discuss the various factors and considerations that a business should include when it is ready to choose a data management solution.

Data Warehouse

Data Warehouse (AKA Datawarehouse, DWH, Enterprise Data Warehouse or EDW) solution is designed to centralize and consolidate large bodies of data from disparate, multiple sources and is meant to help users execute queries, perform analytics, provide reporting, and obtain business intelligence. Data Warehouse data is typically comprised of data from applications, log files and historical transactions and integrates and stores data from relational databases and other data sources originating in various business units and operational entities within the enterprise, e.g., sales, marketing, HR, finance.

A Data Warehouse is a structured environment that is comprised of one or more databases and organized in tiers. An interactive, front-end tier provides search results for reporting, analytics and data mining. The search engine accesses and analyzes the data for presentation and the foundational architecture or database server provides the storage and loading repository.

In order to prepare data for analysis, a Data Warehouse environment will typically utilize an Extraction, Transformation and Loading (ETL) process to prepare data for analysis. Team members who access a Data Warehouse may use SQL queries, analytical solutions or BI tools to mine the data, report, visualize, analyze and present the data.

Data Mart

We can think of a Data Mart as a subset of a Data Warehouse but, whereas a Data Warehouse is an enterprise-wide solution that comprises data from across the organization, the Data Mart is a structured environment that is used to store and present data for a specific team or business unit. This approach allows a business team or unit to curate, leverage and manipulate data that is specific to their teams. For example, a business might create a Data Mart to serve its Marketing, Sales and Advertising teams or it might expand that use to include Customer Service and Product teams so that it can more easily analyze and collaborate using data pulled from specific sources within these business units.

While Data Warehouses access and analyze large volumes of records, a Data Mart improves the response time and performance for end-users by refining the data to provide only data that will support the collective needs of a specified group of users.

Think of a Data Mart as a ‘subject’ or ‘concept’ oriented data repository. A Data Mart often provides a subset of data from a larger Data Warehouse and is designed for ease of consumption, to produce actionable insight and analysis for a particular group.

Data Lake

A Data Lake is a less structured and more flexible approach to data management with data streaming in from various sources and a more free-wheeling approach to data access, exploration and sampling. A Data Lake stores data with no organization or hierarchy. All data types are stored in raw form or semi-transformed format and data is only organized for presentation and use as queries or requests are generated.

A Data Lake can store structured (relational databases, rows columns), semi-structured (XML, ISON, Logs, CSV) and unstructured or binary (Word documents, PDF formats, images, email, audio or vide0) data, and acts as repository of various data sources and users can use that data for various types of analytics from visualization to dashboard presentation, machine learning and data processing.

Data Hub

A Data Hub solution is typically a more flexible, personalized approach to data management with various integration technologies and solutions overlaid to provide the structure or output needed by the business. The data flows from various sources – not all of which will be operational. A Data Hub can provide data in various formats and perform actions to refine data for quality, security, duplicate removal, aged data, etc.

The Data Hub is meant to collect and connect data to produce insight for collaboration and data sharing. It will act as an integration and data processing hub to connect data sources and make them more readily accessible and usable for team members. The definition of a Data Hub will vary by business use and by organization as the parameters and organization of the hub environment will flex to the needs of the organization. So, factors like available models, data governance and access, data persistence and analytical formats and reporting options will vary.

As you consider the various solutions and options for data management, be sure to develop and use a comprehensive and detailed set of requirements and elicit feedback from those who will use and manage the solution.

Now that you understand the various Data Management options, you are ready to select an option for your business. The second of our two-article series, entitled, ‘Factors and Considerations Involved in Choosing a Data Management Solution’ will provide some simple suggestions and recommendations to help you choose the right option.

Original Post : Data Warehouse, Data Lake, Data Mart, Data Hub: A Definition of Terms!

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Natural Language Processing Supports Business User Analytics! https://www.elegantjbi.com/blog/2021/04/26/natural-language-processing-supports-business-user-analytics/ https://www.elegantjbi.com/blog/2021/04/26/natural-language-processing-supports-business-user-analytics/#comments Mon, 26 Apr 2021 11:30:26 +0000 https://www.elegantjbi.com/blog/?p=7280 Continued]]> your-team-will-love-advanced-analytics-with-nlp-search-analyticsEncourage User Adoption of Advanced Analytics with NLP Search Analytics!

You have selected an advanced analytics solution and deployed it across your enterprise, but your business users are not cooperating! One of the primary reasons for poor user adoption of this type of tool is that the tools are too restrictive and too difficult to use. Perhaps IT created the dashboards and they do not meet the needs of your business user, perhaps the business user needs help to engage with the system. Your users may have tried their best to use the system but the results they receive when they search are not accurate or do not meet their requirements. An advanced analytics system that is not intuitive, is complex or requires programming skills just to perform a simple search is not going to work for your business.

You can’t possibly anticipate every search your business users will need to perform on any given day or what the needs of every user in every role will be. But, if you provide a search analytics solution that is based on natural language programming (NLP), you take the guesswork and complexity out of searching and allow your users to enter a simple, Google-like search and receive results in natural language (that they can understand).

With natural language-processing-based search capability, users do not need to scroll through menus and navigation. They can enter a search query like, ‘who sold the most polo shirts in IL in May of 2017’, 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.

Using machine learning and natural language processing (NLP), in a self-serve environment, this type of search analytics allows every business user to access and analyze the information they need and will encourage user adoption, improved data democratization, and return on investment (ROI).

If you want to make encourage your business users to adopt and leverage analytics, if you want to change your business culture to nurture data literacy and digital transformation, your best bet is to consider an augmented analytics product that makes it as easy as possible to search for information and get results using Natural Language Processing (NLP). Simple NLP search analytics encourages users to move in the right direction and use the tools you provide. Contact Us to get started, and explore our bonus content here: Explain NLP, Search Analytics and Clickless Analytics.

Original Post : Your Team Will Love Advanced Analytics with NLP Search Analytics!

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You Can Have Advanced Analytics AND Augmented! https://www.elegantjbi.com/blog/2021/04/22/advanced-analytics-augmented/ https://www.elegantjbi.com/blog/2021/04/22/advanced-analytics-augmented/#comments Thu, 22 Apr 2021 17:11:56 +0000 https://www.elegantjbi.com/blog/?p=7270 Continued]]> augmented-analytics-takes-analytics-to-the-next-levelShopping for Advanced Analytics? Get Self-Serve Augmented Analytics and Succeed!

There are a lot of business intelligence and analytical tools on the market today and if your business has recognized the need to implement this type of solution for self-serve analytics among business users, it is important to understand the advantages of augmented analytics. Advanced analytics benefits are numerous but, when a business chooses augmented analytics tools, it can ensure that its business users have full access to analytical features and sophisticated techniques without having to learn complex systems and without having to acquire data scientist skills. That ease-of-use takes advanced analytics advantages to the next level by democratizing use and allowing for digital transformation and increased data literacy across the enterprise.

The self-serve environment includes Smart Data Visualization, Self-Serve Data Preparation and Assisted Predictive Modeling and these modules offer auto-recommendations and guidance to lead the user through choosing the right visualization for the type of data they are analyzing and to allow users to choose the right predictive analytic