ElegantJ BI Blog https://www.elegantjbi.com/blog Simply Smarter! Fri, 29 Nov 2019 09:24:46 +0000 en-US hourly 1 https://wordpress.org/?v=4.3.21 Tally on Mobile is Accessible via Android and iOS! https://www.elegantjbi.com/blog/the-tally-mobile-app-supports-ios-and-android-devices.htm https://www.elegantjbi.com/blog/the-tally-mobile-app-supports-ios-and-android-devices.htm#comments Fri, 29 Nov 2019 09:12:55 +0000 https://www.elegantjbi.com/blog/?p=6265 Continued]]> The Tally Mobile App Supports iOS and Android Devices!Tally on Mobile is the Answer to ‘On the Go’ Access Via All Types of Mobile Devices!

Tally® Mobile App enables users to access previously unavailable data and information via a connection to the Tally desktop application via iOS and Android. Users can access information online and offline with near real-time data access and access to multi-company data. Users can get a snapshot of key indicators like cash balance, bank balance, receipts, payments, stock inward and outward, payables and receivables and leverage basic BI tools and features.

In a business world that requires support for ‘bring-your-own-device’ (BYOD), the enterprise should not be constrained by an application that only supports a desktop or a particular type of smart phone, tablet or device.

Users often work from home, from a hotel while on the road, or from an airport or client location. The Tally on Mobile environment allows access to features, reporting, and tasks in a near real-time environment that allows users to be more productive and to have the flexibility of user various types of devices to get the job done Tally Mobile App connects your enterprise by providing access via iOS and Android devices so users are always in touch. Contact Us today and let us help you discover how the Mobile App for Tally can help your users and your business.

Original Post: The Tally Mobile App Supports iOS and Android Devices!

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Drive BI Tool Adoption with Social BI! https://www.elegantjbi.com/blog/social-bi-an-important-consideration-of-self-serve-bi-tools.htm https://www.elegantjbi.com/blog/social-bi-an-important-consideration-of-self-serve-bi-tools.htm#comments Mon, 25 Nov 2019 08:26:25 +0000 https://www.elegantjbi.com/blog/?p=6261 Continued]]> Social BI: An Important Consideration of Self-Serve BI Tools!Why is Social Business Intelligence Important for My Business?

If your business is planning to implement self service business intelligence, you may be focused on cascading data analysis and fact-based decision-making throughout the enterprise and, hopefully, your focus includes improving the data literacy of your business users and team members.

One of the additional benefits of Self Service BI Tools is the concept of social BI, and it is important not to overlook these benefits when you lay out the justification of your self-serve BI project for your senior management team. Why is Social Business Intelligence important?

Just think about it. Every aspect of modern life involves sharing and social interaction. If your business users can access business intelligence and see popular data to rate, share and comment, you can begin to optimize resources. You 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. Here are just a few of the benefits you can enjoy:

• Share, rate, comment and popularize data to understand what data business users want and need
• Balance Data Quality vs. Popularity
• Promote collaborative decision-making among business users
• Drive BI tool user adoption, and shared resources and knowledge, remain relevant, and contribute value to users and to the enterprise
• Create culture of popular ‘data heroes’ among business users
• Transform business users into Citizen Data Scientists

If you want to explore the opportunities of Self Service Business Intelligence and Social BI, Contact Us now.

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A Message For Your Business: How to Become Data Literate! https://www.elegantjbi.com/blog/establishing-a-data-literacy-program.htm https://www.elegantjbi.com/blog/establishing-a-data-literacy-program.htm#comments Fri, 22 Nov 2019 09:33:25 +0000 https://www.elegantjbi.com/blog/?p=6258 Continued]]> Establishing a Data Literacy Program!Why is Data Literacy Important?

If you have attended technology conferences or read industry publications, you have probably heard the term ‘Data Literacy’. If your enterprise is considering undertaking an initiative to encourage and nurture data literacy in your organization, you may be looking for a better understanding of the concept and the benefits.

The definition of the term ‘data literacy’ may be readily apparent but, in case you are looking for a definition to use in your internal discussions, you might want to think of data literacy in this way. Data Literacy means that your team members have the ability to read, work with and understand, analyze, present and make decisions using data. Data literacy focuses on encouraging and nurturing data competencies and making your team members comfortable with the use of analytical tools, technology solutions and data comprehension and presentation, including a comfort level with data collection and analysis, data sharing and data-driven business decisions.

Becoming Data Literate – To be data literate, your team members do not need to be data scientists or business analysts. They do not have to grasp and use algorithms and analytical techniques at a technical level. They simply have to be confident in the use of Augmented Analytics Tools and solutions that allow them to gather and analyze data for forecasting and planning, problem solving and understanding trends and patterns and changes in customer buying behavior, sales results etc. Team members should be able to read graphs, charts, polls, surveys and analytics and derive clear answers from these tools.

To accomplish your data literacy mission, you must look at the culture, encourage and nourish power users and those who can see the value in the creative and innovative use of data in everyday situations as well as in developing the strategic initiatives of the organization. In addition to these cultural changes, the enterprise must also look at technology with an eye toward integration of data and the implementation of tools that will make it easy for business users to join in the initiative. Augmented analytics and tools like Smart Visualization and Self-Serve Data Preparation, as well as Assisted Predictive Modeling can provide guidance and auto-suggestions and recommendations to make users more comfortable in adopting analytics and achieving positive outcomes. The use and adoption of these tools will help all team members become more data fluent and allow them to leverage data to express ideas and tell a story to support a decision.

The organization must create a stable foundation for data literacy and data fluency by looking at standards, processes, activities and tasks and establishing meaningful metrics and measurements that include data engagement in goals and objectives.

If you want to explore the rich benefits of data literacy and discover the foundational tools that will help your users achieve data literacy and data fluency, Contact Us today.

Original Post: Establishing a Data Literacy Program!

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ETL and Self-Serve Data Prep for ALL! https://www.elegantjbi.com/blog/etl-need-not-be-daunting.htm https://www.elegantjbi.com/blog/etl-need-not-be-daunting.htm#comments Wed, 20 Nov 2019 07:59:42 +0000 https://www.elegantjbi.com/blog/?p=6255 Continued]]> ETL Need Not Be Daunting!Don’t Be Intimidated by ETL and Data Prep. It’s EASY!

When you hear the term ‘Extract, Transform and Load’, does it make you want to run in the opposite direction? ETL, as it is called, refers to the process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting.

The term, and the process, seem daunting to many people and when managers think about allowing business users to access data through ETL and prepare that data for analysis, the prospect of ETL becomes even MORE daunting!

But, with the right tools, ETL need not be as difficult as you imagine, and establishing the appropriate data security and access to protect users and data privacy does not have to stop your ETL initiative. The idea of providing ETL and data access to business users may cause concern but before you discount the democratization of data, it is important to understand the agility and accessibility provided by business user access to Self-Serve Data Preparation tools.

When you provide a solid ETL foundation with appropriate monitoring, management, integration processes and skills and add the flexibility of self-serve data preparation for business users, you can acquire good data quickly and offer insight to business users. With the right ETL and Data Preparation Tools, business users can compile, and analyze data from data warehouses, data marts, ERP, best-of-breed applications, CRM and any number of operational system databases, spreadsheets, cloud based data sources and legacy systems.

A great Augmented Analytics solution provides self-serve data preparation, including ETL for business users, and it enables business users to leverage sophisticated, easy-to-use tools for self-serve ETL. Self-Service ETL will walk business users through an augmented data preparation process and take the complicated, confusing steps out of the process by helping the user make decisions on how to prepare, clean, reduce and use the data in the best way possible.

If you want to take the mystery and intimidation out of ETL and data prep, talk to the experts. Easy Self-Serve ETL and Data Prep.

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How Can My Business Get the Most Out of Self-Serve Advanced Analytics? https://www.elegantjbi.com/blog/how-can-my-business-get-the-most-out-of-self-serve-advanced-analytics.htm https://www.elegantjbi.com/blog/how-can-my-business-get-the-most-out-of-self-serve-advanced-analytics.htm#comments Thu, 14 Nov 2019 08:27:19 +0000 https://www.elegantjbi.com/blog/?p=6251 Continued]]> How Can My Business Get the Most Out of Self-Serve Advanced Analytics?How does an organization help the self-serve advanced analytics model grow and thrive? Responsibility lies in a number of places within the enterprise.

Data Analysts/Data Scientists: If the business is large enough and sophisticated enough to have data analysts or data scientists on its team, those individuals will benefit from self-serve analytics. Because business users can leverage the tools to make better day-to-day decisions and to perform their own analysis, the professional analyst or data scientist will have more time to focus on strategic initiatives and more complex analytical projects. Look to these professionals to monitor the effects of self-serve analytics on their workload, and to identify opportunities to capitalize on power users, and the advent of data popularity within the organization. By encouraging the adoption of these tools and mentoring appropriate business users, the data analyst will contribute to the advancement of these tools within the organization.

Senior Management: As the executive team incorporates analytics into its strategy and business decisions, it will encourage the use of these tools within the organization. When a middle manager or team member understands that the senior management team values analytics and expects to see data-driven decisions, each business unit and department will embrace the use of self-serve advanced analytics.

IT: The IT team can offer encouragement and ensure that business users have insight into the origin and dependability of data by establishing watermarks, labeling and other systems that help users identify the source of data and when and why it was edited or changed by other users. The IT team provides critical support to ensure appropriate data integration from various data sources and to support an environment that allows for dependable performance, mobile access and appropriate data security.

Business Users: The enterprise should identify and encourage power users and those who apply their skills, creativity and knowledge to develop and share reports and to adopt self-serve advanced analytics tools. These team members can become powerful mentors and role models for the organization and can help other team members understand how best to leverage these analytical tools to achieve their goals.

As business users adopt and gain confidence with advanced analytics, power users and data popularity will emerge and the organization will experience a transformation from business users to Citizen Data Scientists and Analytics Translator. Analytics Translators can also introduce efficiencies, productivity and optimization into the organization as natural leaders emerge within the organization and Analytics Translators provide a liaison role between IT, data scientists and business users. These power users can be role models and offer support within business user teams to assure enterprise-wide comfort with analytics tools.

As you can see, the responsibility for growing and capitalizing on the potential of self-serve advanced analytics lies within every aspect of the organization. These tools can offer numerous benefits and the ways the business can leverage the tools are as varied and unique as the organization itself. If the business management team makes the commitment to engrain the analytical philosophy in its organization at every level, it will have the best chance of success.

Original Post: How Can My Business Get the Most Out of Self-Serve Advanced Analytics?

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Analytics for Data Scientists and Business Users! https://www.elegantjbi.com/blog/2019/11/12/november-12-2019/analytics-for-business-users-and-data-scientists.htm https://www.elegantjbi.com/blog/2019/11/12/november-12-2019/analytics-for-business-users-and-data-scientists.htm#comments Tue, 12 Nov 2019 10:19:47 +0000 https://www.elegantjbi.com/blog/?p=6246 Continued]]> Business Users and Data Scientists Need Analytics Tools!Analytics for All: You Can Serve Business Users AND Data Scientists!

I hope you would agree that every team member in your business is an important and valuable resource. When we talk, in the tech world, about self-serve apps and the concept of cascading analytics to everyone in the organization, managers and team members start to get nervous.

Does the use of analytical tools mean that every business user has to become an analyst or a data scientist? Does the roll-out of Augmented Analytics to business users mean that data scientists will lose their jobs? Not to worry. There is a good reason to pursue your self-serve augmented analytics projects AND a good reason to keep those data scientists right where they are!

With the democratization of analytics and the advent of self-serve tools, organizations can encourage and create Citizen Data Scientists and enable the average business user to leverage sophisticated predictive algorithms without the expertise and skill of a trained data scientist. This approach allows users who are not statisticians, data scientists, programmers or analysts to leverage self-service tools to confidently make business decisions, share data, and reports and present data in a way that allows the organization to identify trends, patterns, opportunities and challenges.

But, the transformation of business users into Citizen Data Scientists does not mean there is no need for professional data scientists. A business user might use Assisted Predictive Modeling, to analyze customer churn and find out which customers are likely to move away (churn) based on purchase patterns, demographics, geographic and other macro parameters. BUT, if the business needs to fine-tune or further explore an issue, a parameter, or a model, the Data Scientist is there to do the strategic work. If there is a need for precision calculation, a unique algorithm application, analysis of selection bias, theory-driven methodology or other in-depth analysis, the organization would look to a data scientist.

By providing the right tools to the right people and focusing on the core job responsibilities that drive the day-to-day tasks of a business users or a data scientist, the organization can gain insight to make good decisions AND carefully craft and refine strategic initiatives by leveraging the skills of its Data Scientist team. So, YES, there is a place in your organization for both team members and there are Advanced Analytics Tools to serve the needs of both of these team members.

Find out how augmented analytics and advanced analytics tools can support the needs of your business users, your IT team, your analysts and your data scientists…and let’s not forget your management team! Analytics for All.

Original Post: Business Users and Data Scientists Need Analytics Tools!

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BI and Analytics Can Drive Performance! https://www.elegantjbi.com/blog/business-intelligence-and-analytics-for-your-team.htm https://www.elegantjbi.com/blog/business-intelligence-and-analytics-for-your-team.htm#comments Fri, 08 Nov 2019 07:12:28 +0000 https://www.elegantjbi.com/blog/?p=6243 Continued]]> Business Intelligence and Analytics for Your Team!Data Analysis for Business Should Include Every Business User!

Business Intelligence and Analytics is as necessary for small businesses and start-ups as it is for a large enterprise. There is no room for a misstep or a market error in today’s competitive environment. Whether your business is local or global, all online or brick and mortar, government, public sector or consumer focused or playing in a very specialized market, you and your team need business intelligence and analytics tools.

If you have not yet had a business intelligence introduction, it is imperative that you jump in now! Understand the benefits to your organization and choose BI and Analytics Tools that will democratize data within your organization and provide a foundation for a digital transformation within your enterprise.

No team member in your organization should be exempt from using data analysis for business, because every team member must make fact-based decisions, and have a current and clear grasp of opportunities and issues so that each team member can help to move the organization forward and support goals and objectives. There is no room for guesswork in business.

Business Intelligence examples and areas of focus include sales, finance, customer buying behavior, product pricing, training and resource requirements and forecasting, manufacturing and production management, marketing, shipping, purchasing, legal, risk and privacy issues, and every other aspect of your organization and its activities, tasks and processes. Your team members should have access to integrated data from all sources across the enterprise to build and share reports, make presentations and make good decisions.

If you want to empower your business users and your organization, Contact Us now to explore the possibilities of Data Analytics within your business.

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Digital Transformation and Augmented Analytics Go Hand in Hand! https://www.elegantjbi.com/blog/begin-your-digital-transformation-with-augmented-analytics.htm https://www.elegantjbi.com/blog/begin-your-digital-transformation-with-augmented-analytics.htm#comments Wed, 06 Nov 2019 08:33:41 +0000 https://www.elegantjbi.com/blog/?p=6240 Continued]]> Begin Your Digital Transformation with Augmented Analytics!How Can My Business Begin Digital Transformation? How About Augmented Analytics?

If you read industry and technology journals, you have probably seen the term, ‘digital transformation’. So, what is digital transformation Gartner asked, and here is what the Gartner glossary of terms says about that: ‘Digital business transformation is the process of exploiting digital technologies and supporting capabilities to create a robust new digital business model.’ So, that is the digital technology business definition and that definition will translate differently for every organization in terms of where the enterprise will begin to focus the transformation process and how it will get to its goal.

Among the many digital transformation examples one might find in an organization is the focus on data democratization and the introduction of initiatives to encourage and support Data Literacy among an enterprise team at the business user level. You can find numerous digital transformation articles online today but when it comes to your own business, you will have to decide how and where to focus your initiative.

One such starting point might be Advanced Analytics. With the introduction of advanced analytics to the business user community, the organization can encourage the adoption, sharing and popularity of data and support fact-based decision making to achieve its goals and objectives. Business users that employ Augmented Analytics Tools can leverage sophisticated analytics, forecasting and predictive algorithms and techniques, smart data visualization, tools that utilize machine learning, simple search analytics and natural language processing (NLP) to achieve better results and, in the process, to become more data literate, allowing data scientists and IT staff to focus more on strategic projects.

In short, transforming business users into Citizen Data Scientists is a great place to start your digital transformation initiative. This type of engagement builds confidence and comfort with technology, data and analytics and allows the organization to better leverage its resources and build skills within the enterprise.

Contact Us today if you want to explore the opportunities of digital transformation through Augmented Analytics.

Original Post: Begin Your Digital Transformation with Augmented Analytics!

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KPI Analytics Can Help You Achieve Results! https://www.elegantjbi.com/blog/2019/10/21/october-21-2019/key-performance-analytics.htm https://www.elegantjbi.com/blog/2019/10/21/october-21-2019/key-performance-analytics.htm#comments Mon, 21 Oct 2019 12:03:58 +0000 https://www.elegantjbi.com/blog/?p=6236 Continued]]> Key Performance Analytics for Every Team Member!Multidimensional KPI Analytics Are Beneficial for Every User and Business!

Every business manager and most every team member in every organization today understands the need for objective metrics and measurements and knows that senior management and shareholders will not accept guesswork or a lack of clarity on where and how resources and investments are helping or hurting the bottom line. So, it is no surprise that Key Performance Analytics have become the norm. And, KPI Analytics are not reserved for data scientists, IT staff or business analysts.

If your team is to succeed in its day-to-day and long-term goals and objectives, it must have a way to monitor results and clearly see what is working and where the team is falling short. What your team needs is a KPI Dashboard that is easy to use and will help you to achieve your goals – a Multidimensional KPI Analytics tool that provides clarity and actionable reporting.

Your users should be able to define KPI with an easy to use, powerful expression engine and set polarity, frequency, and threshold levels using a browser-based interface. You must be able to establish and monitor KPIs at the individual, team, department, division and company level. A KPI Tool should provide interactive options to change frequencies, dimension break downs and drill down to further analyze trends, and reasons for performance and non-performance.

If you think your organization and your team members could benefit from this type of dynamic, Multidimensional KPI Software, here is how to get started with easy, comprehensive tools that every user can leverage.

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KPI Dashboards Should Not be Static, But Rather Dynamic! https://www.elegantjbi.com/blog/kpi-analytics-that-is-useful-and-easy-for-every-team-member.htm https://www.elegantjbi.com/blog/kpi-analytics-that-is-useful-and-easy-for-every-team-member.htm#comments Wed, 16 Oct 2019 11:03:15 +0000 https://www.elegantjbi.com/blog/?p=6230 Continued]]> KPI Analytics that is USEFUL and Easy for Every Team Member!KPI Software for an Ever-Changing Business Market!

KPI analytics is not just the process of choosing static measurements and placing them on a chart or graph, then reviewing them once every few months to see where your business falls in terms of its projected results and success.

A comprehensive, flexible, dynamic KPI Dashboard provides a snapshot of where you are at any given moment and shows you what is working, what needs to change and what devilish details you need to address to improve results. KPI Software should allow your business users to leverage a simple, intuitive tool to set polarity, frequency, and threshold levels and it should give users access via a browser-based solution so they can explore and discover on the road and in the office.

Your users should be an integral part of the process with tools that allow them to establish and monitor KPIs at the individual, team, department, division and company level and interactive options to change frequencies, dimension break downs and the ability to drill down to further analyze trends, and discover the real reasons for great or poor results or performance. That’s the kind of KPI apps your business users need!

Your industry and market publications probably have plenty of KPI examples and ideas of what you should be measuring, and this information can be helpful but your business and your team are unique and you need the ability to establish, monitor, clarify and adapt and that kind of dynamic environment requires a KPI Tool that is easy enough for everyone to use and one that users will want to adopt because it helps them to do their job better.

If you want to monitor and manage results to achieve your goals, Contact Us now to find out how a KPI Tool can help you.

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Tally Mobile App Improves Productivity! https://www.elegantjbi.com/blog/tally-mobile-app-improves-productivity.htm https://www.elegantjbi.com/blog/tally-mobile-app-improves-productivity.htm#comments Tue, 15 Oct 2019 09:33:17 +0000 https://www.elegantjbi.com/blog/?p=6227 Continued]]> Tally Mobile App Improves Productivity!The Mobile App for Tally Gives Users Access and Makes Them More Productive!

Tally® Mobile App is the access point for mobile users to leverage features and functionality of the Tally dashboard by connecting to the Tally desktop.

Today’s team members are on the road and working outside the office on a regular basis. The Mobile App for Tally makes users more productive by giving them access to accounting, payroll, finance-related features and allowing users to browse reports and access data through Basic BI Tools for decision-making and day-to-day tasks and activities.

Tally on mobile capitalizes on the popularity of the Tally solution and enables users to access previously unavailable data and information via a connection to the Tally desktop application via iOS and Android, and users can access information online and offline with near real-time data access and access to multi-company data. Users can get a snapshot of key indicators like cash balance, bank balance, receipts, payments, stock inward and outward, payables and receivables.

Tally Mobile App improves productivity and connects your enterprise from inside and outside the walls of the organization, Contact Us today and let us help you discover the expanded value of your Tally solution.

Original Post: Tally Mobile App Improves Productivity!

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There are Many Advantages of Advanced Analytics! https://www.elegantjbi.com/blog/2019/10/14/october-14-2019/augmented-analytics-advantages.htm https://www.elegantjbi.com/blog/2019/10/14/october-14-2019/augmented-analytics-advantages.htm#comments Mon, 14 Oct 2019 11:18:06 +0000 https://www.elegantjbi.com/blog/?p=6223 Continued]]> Augmented Analytics Benefits are Numerous and Impressive!Enjoy the Benefits of Advanced Analytics with Augmented Analytics Support!

As a business manager or a business team member, you probably make it your business to stay abreast of industry and market trends and to understand how best to use technology to refine business results and better understand your market, competition and customers. If you have been reading industry publications, you are probably familiar with the concept of augmented analytics and augmented analytics benefits.

But, understanding the Advantages of Advanced Analytics and implementing advanced analytics throughout your organization may be two very different things. To democratize advanced analytics, you will need to choose the right solution. To enjoy the Benefits of Advanced Analytics in your enterprise you will need to select a partner and a solution that provides an Augmented Analytics approach with auto-suggestions, recommendations and guidance that will help every user to find, analyze and report on information without the assistance of an IT staff member or a data scientist.

Advanced analytics support that is built-in to the solution and allows even a user with average skills to leverage these sophisticated tools will ensure that users adopt the solution and ensure that your organization enjoys all advanced analytics benefits. If you want to democratize analytics and provide your users with tools that allow them to achieve consistent, dependable results and meet objectives, you can find expert Augmented Analytics Support and Products Here.

Original Post: Augmented Analytics Benefits are Numerous and Impressive!

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NLP and Augmented Analytics: A Recipe for Success! https://www.elegantjbi.com/blog/how-can-natural-language-processing-help-with-data-analytics.htm https://www.elegantjbi.com/blog/how-can-natural-language-processing-help-with-data-analytics.htm#comments Wed, 09 Oct 2019 06:50:07 +0000 https://www.elegantjbi.com/blog/?p=6218 Continued]]> How Can Natural Language Processing Help with Data Analytics?Augmented Analytics Benefits Include NLP for Easy Analysis!

Everyone has heard the term ‘natural language processing or NLP. So, what is natural language processing, exactly, and how can it help your business? NLP allows a program or software to understand language as written/spoken by humans so that people can interact with a system without using long strings of code. You use natural language processing every day when you engage with your word processing software to perform spell check, when your smart phone auto-corrects your words, when you use voice to text messaging, when your email system applies a spam filter, when you are served keywords that relate to a search you did on a search engine and when you use ‘assistants’ like Siri or Alexa.

So, how can NLP help your business users to leverage advanced analytics solutions and enjoy Augmented Analytics BenefitsNatural 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 engaging in 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 users can compose and enter a question using common human language. For example, a business user might ask, ‘who sold the most bakery products in 2017 in the Southwest region?’ Users 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.

Let’s take it one step further with Clickless Analytics. What is clickless analytics? This process provides seamless augmented analytics and Advanced Data Discovery using machine learning and natural language processing (NLP), in a self-serve environment that is easy enough for every business user.

If you want to find out how NLP and simplified Search Analytics can help your organization and your users to be more productive and to make faster, simpler decisions with confidence, Contact Us today.

Original Post: How Can Natural Language Processing Help with Data Analytics?

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Data Analytics Software Need Not be Out of Reach! https://www.elegantjbi.com/blog/data-analytics-tools-for-business-users.htm https://www.elegantjbi.com/blog/data-analytics-tools-for-business-users.htm#comments Fri, 27 Sep 2019 07:06:09 +0000 https://www.elegantjbi.com/blog/?p=6213 Continued]]> Data Analytics Tools for Business Users!Data Analytics Can Transform Users to Citizen Data Scientists!

The term ‘data analytics can seem daunting to the average business user. Isn’t analytics something that is the sole domain of data scientists? No, actually it is not!

Today’s Data Analytics Tools are designed for the average business user and make it easier than ever to gather, analyze and understand data. Data is integrated from multiple sources and users can leverage business analytics tools with Smart Data Visualization, Assisted Predictive Modeling, and even Self-Serve Data Preparation.

As users adopt these intuitive tools and build confidence, they can share data, and the organization will experience a higher level of data literacy and data popularity. It will be easier for IT and management to understand how and when users engage in business analytics and champion the use of these tools to shift the culture and transform business users into Citizen Data Scientists.

Data analytics software can be the key to driving fact-based decisions and quickly resolving issues and identifying opportunities within the business environment.

If you want to empower your business users and your organization, Contact Us now to explore the possibilities of Data Analytics within your business.

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Visual Analytics for Business Users! https://www.elegantjbi.com/blog/data-visualization-software-for-your-users.htm https://www.elegantjbi.com/blog/data-visualization-software-for-your-users.htm#comments Thu, 26 Sep 2019 09:12:57 +0000 https://www.elegantjbi.com/blog/?p=6210 Continued]]> Data Visualization Software For Your Users!Data Visualization Tools Provide Crucial Decision Support!

If they are to help your users achieve their goals and understand what is happening within your organization, data visualization tools must be easy to use, with sophisticated functionality and an intuitive user interface. If you want business users to leverage data visualization software, you have to give them something they can easily use and adopt with smart visualization that will recommend the best way to process and visualize data, depending on what the user wants to interpret and the type of data they are working with and sharing.

Visual Analytics does not have to be the domain of data scientists or IT staff. With Smart Data Visualization business users can view and analyze data to identify a problem and clarify a root cause. Business users can interact easily with Data Discovery Tools and build a view that will tell a story using guided visualization and recommended data presentation. Guided recommendations are made based on data type, volume, dimensions, patterns and nature of data.

By combining cutting-edge technology and machine learning on the backend, and an intuitive user experience on the front end, business users can easily leverage sophisticated tools to personalize data displays and create meaningful views and collaboration.

Contact Us today if you want to explore the opportunities of Smart Visualization.

Original Post: Data Visualization Software For Your Users!

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Business Intelligence Tools Can be Easy to Use! https://www.elegantjbi.com/blog/2019/09/20/september-20-2019/bi-tools-for-business-users.htm https://www.elegantjbi.com/blog/2019/09/20/september-20-2019/bi-tools-for-business-users.htm#comments Fri, 20 Sep 2019 06:19:52 +0000 https://www.elegantjbi.com/blog/?p=6206 Continued]]> BI Software for Every User and Every Need!A Great BI Solution with Easy-to-Use Tools!

A great business intelligence tool does not have to be complicated or expensive. If you want to do it right, you should strive for data democratization and look for a BI solution that is designed for business users with average technical skills. BI software that is meant to be used by your business users will allow for quick and accurate decisions, ensure that everyone is working with the right information.

Dashboarding tools should be easy to personalize so that users can see data in a way that is meaningful to them and easily track, monitor, gather, analyze and share information. While start-up, small and medium businesses may feel that they don’t need Business Intelligence Analytics Tools, nothing can be further from the truth. Even in the smallest organization, competition is keen these days. Whether your business competes locally, globally, online, in a specific industry or market, BI Analytics allows you to solve problems, forecast and predict more accurately and provide business users with a BI Tool that optimizes productivity and empowers users at every level.

If you think these tools are too complicated for your organization or that they are unaffordable, you will be pleasantly surprised by the ease of use and cost-effective licensing! Start here: Business Intelligence Tools

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KPI Software Helps You Manage with Insight! https://www.elegantjbi.com/blog/key-performance-indicators-kpis-ensure-fact-based-metrics.htm https://www.elegantjbi.com/blog/key-performance-indicators-kpis-ensure-fact-based-metrics.htm#comments Thu, 19 Sep 2019 07:36:00 +0000 https://www.elegantjbi.com/blog/?p=6203 Continued]]> Key Performance Indicators (KPIs) Ensure Fact-Based Metrics!KPI Tools Provide Accurate and Clear Metrics and Measurements!

If your business is like most, you are trying to focus on the facts! You want to measure results and make plans, using the facts rather than opinion or guesswork but that can be difficult. Key performance indicators (KPIs) allow you to establish and monitor metrics and measurements that will tell you whether activities, tasks, and processes are getting you to your goals and helping you to meet your objectives. KPI Software is crucial to the management of your workflow, training initiatives, investments etc.

KPI examples for sales might include metrics regarding customer acquisition costs, the lifetime value of a customer, sales targeting and net profit margins. By tracking these KPIs, the business can begin to understand how cost-effective its policies, procedures, activities and resources are and where to make changes.

If you can provide your business users with a KPI Dashboard, you enable them to monitor results and metrics and spot issues and opportunities as they arise. With a KPI tool, users can define KPI with an easy to use, powerful expression engine and set polarity, frequency, and threshold levels using a browser based interface. Users can establish and monitor KPIs at the individual, team, department, division and company level. Defined KPIs are not limited itself to static monitoring. KPI Analytics provide interactive options to change frequencies, dimension break downs and drill down to further analyze trends, and reasons for performance and non-performance.

If you want to monitor and manage results to achieve your goals, Contact Us now to find out how a KPI Tool can help you.

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Smarten Offers 30-day Free Trial of Augmented Analytics Solution on AWS Marketplace https://www.elegantjbi.com/blog/smarten-offer-30-day-free-trial-of-augmented-analytics-solution-on-aws-marketplace.htm https://www.elegantjbi.com/blog/smarten-offer-30-day-free-trial-of-augmented-analytics-solution-on-aws-marketplace.htm#comments Wed, 18 Sep 2019 06:40:43 +0000 https://www.elegantjbi.com/blog/?p=6200 Continued]]> Smarten Offers 30-day Free Trial of Augmented Analytics Solution on AWS MarketplaceThe Smarten suite of advanced analytics tools is now available for a free 30-day trial on the AWS Marketplace. This augmented analytics solution includes smart data visualization, assisted predictive modeling and a self-serve data preparation assisted by machine learning to help business users without any data science skills to create, use and share predictive models on their own.

The Elegant MicroWeb (Smarten SSDP solution) is listed as a Representative Vendor in the Gartner Market Guide for Data Preparation Report, as a Niche BI and Analytics Vendor in the Gartner Report, Competitive Landscape: BI Platforms and Analytics Software, Asia/Pacific, as a Representative Vendor in the Gartner Market Guide for Enterprise-Reporting-Based Platforms, and a Listed Vendor in the Other Vendors to Consider for Modern BI and Analytics, Gartner Report

Smarten CEO, Kartik Patel says, “We are pleased to announce the availability of the innovative Smarten preconfigured solution on the AWS Marketplace. This 30-day free trial provides access to those who wish to explore the benefits and possibilities inherent in the features of this augmented analytics solution.”

The Smarten tool is designed for business users working in an environment that encourages and supports data democratization and data literacy within the ranks of the enterprise team. Augmented analytics provides recommendations and auto-suggestions to ensure that business users can leverage these sophisticated tools to advance user adoption in the business environment, transform users into Citizen Data Scientists, and encourage empowerment and accountability for all team members.

“The 30-day free trial of the preconfigured Smarten product provides ample opportunity for users to explore and understand the value of advanced analytics,” says Patel. “These tools support fact-based day-to-day decisions and strategic, operational and tactical initiatives, goals and objectives.”

The Smarten 30-day free trial download is preconfigured and easily accessible on the AWS Marketplace, and the trial includes Smarten team support to help prospective users get started with Smarten.

Following the 30-day free trial, the Smarten product is available for extended use with Bring Your Own License (BYOL) availability. One can launch a preconfigured AWS Smarten instance with a free 30-day trial period from the AWS marketplace and answers to Frequently Asked Questions (FAQs), as well as Learning Opportunities to help users understand the benefits and value of the Smarten solution. Launch Smarten with the 30-day free trial on AWS now.

More information on the benefits of the Smarten Augmented Analytics product suite is available here.

Original Post: Smarten Offers 30-day Free Trial of Augmented Analytics Solution on AWS Marketplace

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Is Advanced Data Discovery Suitable for Business Users? https://www.elegantjbi.com/blog/can-data-discovery-improve-my-business-users-performance.htm https://www.elegantjbi.com/blog/can-data-discovery-improve-my-business-users-performance.htm#comments Tue, 17 Sep 2019 07:59:05 +0000 https://www.elegantjbi.com/blog/?p=6197 Continued]]> Can Data Discovery Improve My Business Users’ Performance?Is Augmented Data Discovery Easy Enough for My Business Users?

A data discovery tool is a crucial tool for every business user in your organization. With so many sources of data, in so many locations with your enterprise, it is impossible for users to know whether they have access to complete, accurate data to make decisions.

With the right Advanced Analytics Tools, business users can have access to data integrated from disparate data sources and can use that date for Advanced Data Discovery so they can gain insight into problems and opportunities, share information with other users and be more productive, empowered and accountable. So, what is advanced analytics and should you consider this type of solution for your business users?

Advanced Analytics comprises the discovery, interpretation, and communication of meaningful patterns in data; and considers and applies patterns and trends to achieve clear, fact-based decision-making. To put it another way, advanced analytics connects information to decisions and strategies and allows the organization to set objectives and goals that are practical and attainable given the competitive and market landscape. While businesses had looked to IT and data scientists to find and analyze and interpret data in the past, the business market is moving too fast today to wait for this information and the truth is that business users need this data and insight to do their jobs just as much (if not more) than senior managers.

Augmented Analytics provides guidance and recommendations so users can visualize data in a way that makes sense for the type of data they want to analyze and it offers auto-suggestions to enable forecasting and predictive analytics methodology that is right for the data the user is considering.

Contact Us today to find out more about how Augmented Data Discovery can help your business to succeed.

Original Post: Can Data Discovery Improve My Business Users’ Performance?

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Can Business Users Leverage Self-Serve Data Prep? https://www.elegantjbi.com/blog/2019/09/16/september-16-2019/augmented-data-prep.htm https://www.elegantjbi.com/blog/2019/09/16/september-16-2019/augmented-data-prep.htm#comments Mon, 16 Sep 2019 07:09:20 +0000 https://www.elegantjbi.com/blog/?p=6194 Continued]]> What Is Self-Serve Data Preparation?How About Giving Your Business Users the Power to Prepare Data for Analysis?

Can Your Business Achieve Self-Serve Data Prep? Lots of my friends talk about the difficulty of preparing data for analysis and how long it takes to get IT or data scientists or analysts to take on the project, get the data prepared and run reports or perform analytics. Frankly, this problem is a puzzle to me!

Data prep does not have to be something your IT or data science staff does. It can be done easily with simple tools that are accessible and can be leveraged by every business user without any specialized technical skills. Self-Serve Data Preparation and self-serve ETL (data extraction, transformation and loading) can and should be easy. Users can transform, shape, reduce, combine, explore, clean, sample and aggregate data, without the need for SQL skills, ETL or other programming language.

With the right Augmented Analytics solution, data preparation is presented with tools, guidance and machine learning. Machine learning capability provides guidance to determine the best techniques and the best fit transformations for the data business users want to analyze, allowing for better understanding of data.

Data Preparation Tools can make your life a lot easier and will allow every user in your organization to gather and prepare data for analysis without delay so users can leverage fact-based analytics to make decisions and to move forward with projects, capitalize on opportunities and find the root cause of problems.

With the mobility and affordability of these tools, there is no reason why your organization cannot enjoy Self-Serve ETL.

If you want to find out more about Self-Serve Data ETL, start here: Augmented Data Preparation.

Original Post: What Is Self-Serve Data Preparation?

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Business Intelligence Consulting Services! https://www.elegantjbi.com/blog/self-serve-business-intelligence-and-data-literacy.htm https://www.elegantjbi.com/blog/self-serve-business-intelligence-and-data-literacy.htm#comments Wed, 11 Sep 2019 06:35:08 +0000 https://www.elegantjbi.com/blog/?p=6190 Continued]]> Self-Serve Business Intelligence and Data Literacy!Get Business Intelligence Tools and a Business Intelligence Consultant!

If a business is trying to implement self-serve business intelligence tools, it must look at its organization, processes and culture to determine whether it is prepared to roll-out data democratization and provide direct access to business intelligence tools. Changes in the environment and the expectations can help to empower business users and hold them accountable and to encourage data popularity and data sharing to work toward transformation of business users to Citizen Data Scientists.

Business intelligence consulting services can be of great value in establishing the foundation for this type of environment and moving forward toward Advanced Analytics and a cutting-edge culture of true data literacy. An enterprise can engage these business intelligence services from a Business Intelligence Company with a comprehensive understanding of the domain, the market the detailed features and functionality of a competitive, mobile, affordable business intelligence solution.

If you want to find the right Business Intelligence Consultant, Contact Us now and let us help you discover the potential of self-serve business intelligence.

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Tally on Mobile Brings Mobile Agility to Tally ERP! https://www.elegantjbi.com/blog/tally-on-mobile-brings-mobile-agility-to-tally-erp.htm https://www.elegantjbi.com/blog/tally-on-mobile-brings-mobile-agility-to-tally-erp.htm#comments Mon, 09 Sep 2019 07:18:09 +0000 https://www.elegantjbi.com/blog/?p=6187 Continued]]> Tally on Mobile Brings Mobile Agility to Tally ERP!Tally Mobile App Provides Crucial User Access to Tasks and Reporting!

Tally® ERP 9 is an accounting and finance solution that is popular among business users in India. As a desktop app, Tally users have no access from outside the walls of the enterprise. Fortunately, Tally in mobile app form has extended the office environment so that users can access the Tally mobile app on the road, from home or from anywhere!

The Tally In Mobile move transition allows users access online or offline, to save expensive data transfer). While in online mode, the last updated data from cloud server is displayed in the mobile app. So, if users leverage shorter frequencies for the scheduler in the Desktop App, they can get near real time data on Tally Mobile App.

Tally On Mobile supports multi-company data with a snapshot of key indicators like cash balance, bank balance, receipts, payments, payables and supports ledger inquiries. It displays the last ten transactions and provides the latest balance and transactions for taxes and duties including GST.

With Tally mobile apps, full company data extraction is fast and easy and app loading is rapid, so users can access and use the data to perform tasks quickly and without delay. The Tally mobile app is easy-to-use, with an intuitive native mobile app user interface.

Tally Mobile App supports tasks, reporting and analysis so users can leverage this familiar, critical solution from anywhere. Contact Us today to find out more about the Tally App for Mobile.

Original Post: Tally on Mobile Brings Mobile Agility to Tally ERP!

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What is SSDP and Can it Truly Make Analytics Self-Serve? https://www.elegantjbi.com/blog/what-is-ssdp-and-can-it-truly-make-analytics-self-serve.htm https://www.elegantjbi.com/blog/what-is-ssdp-and-can-it-truly-make-analytics-self-serve.htm#comments Fri, 06 Sep 2019 09:15:20 +0000 https://www.elegantjbi.com/blog/?p=6183 Continued]]> What is SSDP and Can it Truly Make Analytics Self-Serve?SSDP (otherwise known as self-serve data preparation) is the logical evolution of business intelligence analytical tools. With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise.

What is SSDP?
SSDP or Self-Serve Data Preparation is a crucial component of Advanced Data Discovery. With self-serve data prep, data analytics moves out of the sole domain of analysts and IT and into the domain of business users. With true self-serve business intelligence and analytics solutions, the average business user can perform data preparation, test theories and hypotheses by prototyping on their own and share clear, objective data with others.

The traditional definition of data preparation describes an iterative process, typically executed by IT staff or analysts to extract and transform raw data so that the data can be used for discovery, analytics and reporting. Self-Serve Data Preparation (SSDP) allows the organization, and its users, to gather, manipulate and analyze complex data from multiple sources in a single interface with easy-to-use tools.

SSDP allows business users to leverage tools without the restrictions placed on managed dashboards or standardized reporting tools. Users can access complex tools in an easy-to-use environment without the help of programmers or data scientists. SSDP (Self-Service Data Preparation) empowers business users and allows them to perform tasks, make decisions and recommendations quickly and with speed, agility and accuracy.

Rather than preparing data at the central meta-data layer, and restricting what business users can do and see, these
IT enabled (NOT IT controlled),
self-serve data preparation and business intelligence tools and features put meaningful views of data in the hands of business users.

SSDP allows average business users to compile and prepare data and use that data in analytics to test hypotheses, visualize and share data, prepare reports and support day-to-day tasks with complete drill-down and drill-through capability, custom alerts and mobile access that supports the needs of every team member. Users can control the data elements, the volume and the timing of the analysis and reporting.

Can SSDP Truly Make Analytics Self-Serve?
The key to self-serve solutions is to provide sophisticated features and functionality in an easy-to-use, intuitive, interactive environment that users will want to adopt and leverage. By putting the power of data preparation in the hands of business users, the business can unshackle its users and make them more of an asset to the enterprise, while empowering them to find and solve day-to-day problems. SSDP can, and does make analytics self-serve, so analysts, data scientists and IT staff can focus on strategic and long-term organizational needs and provide expert advice and support as needed. In the meantime, business users have a tool that is sophisticated enough to present clear, accurate, measurable results and allow them to find the source of problems, optimize results and share data to support business decisions.

SSDP tools allow users to compile and analyze data and test theories and prototypes to support dynamic decisions and planning on their own so the business does not lose time or competitive advantage while waiting for reports or analysis from a central source.

A Gartner report published on May 24, 2016 (ID G00274731) , entitled ‘Embrace Self-Service Data Preparation Tools for Agility, but Govern to Avoid Data Chaos’, predicts that, ‘By 2018, data discovery and data management evolution will drive most organizations to augment centralized analytic architectures with decentralized approaches.’

2017 has certainly proven this to be true, as businesses embrace the value of self-serve data preparation and analytics tools.

SSDP tools integrate data from multiple data sources and make it accessible in a single, uniform, interactive view with features like smart suggestions, auto-suggested relationships, JOINs, type casts, hierarchies, data cleansing and statistical algorithms like binning, clustering, and regression for noise reduction, and trend and pattern identification. SSDP balances flexibility and agility with data governance so business users have access to the right data at the right time, and the IT team can maintain crucial security and data privacy controls and standards, as well as data quality.

Self-Serve Data Prep in Action

Perhaps the most important aspect of SSDP success is making the Self-Serve Data Prep solution simple and valuable enough to encourage business user adoption so that the enterprise can achieve and sustain ROI and TCO goals.

In a business environment where business users expect tools that are simple and powerful, SSDP can do much to advance the objectives and goals of the organization and make each business user a more valuable business resource. Self-serve tools allow users to leverage knowledge and skill and better perform against forecasts and plans.

Original Post: What is SSDP and Can it Truly Make Analytics Self-Serve?

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Augmented Data Preparation and Self-Service ETL! https://www.elegantjbi.com/blog/self-service-data-preparation-that-is-easy-and-worry-free.htm https://www.elegantjbi.com/blog/self-service-data-preparation-that-is-easy-and-worry-free.htm#comments Wed, 04 Sep 2019 10:01:33 +0000 https://www.elegantjbi.com/blog/?p=6180 Continued]]> Self-Service Data Preparation that is Easy and Worry-Free!What is Self Service Data Preparation?

Data prep can slow down analytics and cause delays. Self-service data preparation (when done right) can enable business users to leverage sophisticated, easy-to-use tools for self-serve ETL. Data extraction, transformation and loading (otherwise known as ETL) can be time-consuming and requires professional skills but self-service ETL will walk business users through an augmented data preparation process and take the complicated, confusing steps out of the process by helping the user make decisions on how to prepare, clean, reduce and use the data in the best way possible.

The right Self-Serve Data Preparation tool makes all the difference in the world! It enables self-serve, advanced analytics and provides business users with tools they will want to adopt and use so the enterprise can make the most of their Augmented Analytics environment and reap rapid return on investment (ROI) and low total cost of ownership (TCO).

If you want to improve productivity and empower business users with tools that will guide them through an otherwise complex process, Contact Us today to find out more about how Self-Serve Data Preparation can help your organization.

Original Post: Self-Service Data Preparation that is Easy and Worry-Free!

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White Paper – Accelerating Advanced Analytics in an Immature Analytics Culture https://www.elegantjbi.com/blog/white-paper-accelerating-advanced-analytics-in-an-immature-analytics-culture.htm https://www.elegantjbi.com/blog/white-paper-accelerating-advanced-analytics-in-an-immature-analytics-culture.htm#comments Thu, 29 Aug 2019 11:53:07 +0000 https://www.elegantjbi.com/blog/?p=6170 Continued]]> For organizations that wish to leverage advanced analytics, the first order of business is to evaluate the maturity of the advanced analytical culture within the organization and among its users and decide whether the entire team is ready to take on the task of accurately analyzing business results, and planning and making course corrections on a daily basis. If the organization is not ready for this change, the business management team must plan for and execute a transition to quickly, carefully, and successfully move the enterprise into the advanced analytics arena.

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Business Intelligence and Analytics for All Users! https://www.elegantjbi.com/blog/business-intelligence-and-analytics-tools.htm https://www.elegantjbi.com/blog/business-intelligence-and-analytics-tools.htm#comments Thu, 22 Aug 2019 11:59:38 +0000 https://www.elegantjbi.com/blog/?p=6167 Continued]]> Business Intelligence and Analytics Tools!Data Analysis for Business Supports Fact-Based Decisions!

Business intelligence and analytics are necessary tools for every business today. No business manager or team member can make decisions in vacuum and business intelligence and analytics tools are key to fact-based, data-driven decisions that will ensure positive results, help the business to avoid missteps and critical errors and allow the enterprise to anticipate changes in the competitive landscape and in customer buying behavior.

Data analysis for business need not be complex or restrictive. New advances in the Business Intelligence Solution market have allowed businesses to open up previously restrictive data analytics tools and provide support for business users with average technical skills so every professional in the organization can leverage their area of expertise and apply that knowledge to data integrated from multiple sources to gain valuable insight into problems, identify opportunities and plan and forecast with confidence.

Business Intelligence examples include data and finance, marketing, sales, production, supply chain, manufacturing, HR, facilities management, competitive and third party intelligence and social media analysis. Data Analytics vs business analytics draws a fine line between the mountains of data and the business that must use that data to gain insights and better understand where the business is going and how to put strategies in place that will benefit the enterprise and its team in the short-term and the long-term.

If you want to empower your business users and your organization, Contact Us now for a Business Intelligence Introduction!

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Smarten Augmented Analytics: Sophistication and Simplicity https://www.elegantjbi.com/blog/smarten-augmented-analytics-sophistication-and-simplicity.htm https://www.elegantjbi.com/blog/smarten-augmented-analytics-sophistication-and-simplicity.htm#comments Wed, 21 Aug 2019 10:57:31 +0000 https://www.elegantjbi.com/blog/?p=6164 Continued]]> Smarten Augmented Analytics: Sophistication and SimplicityDiscover the Smarten approach to Augmented Analytics and Advanced Data Discovery tools. These tools allow business users to leverage augmented analytics that provide guides and suggestions to help the business user more quickly and effectively produce clear advanced analytics with little to no training, thereby transforming the average business user into a Citizen Data Scientist. Using the Smarten approach, users can quickly and easily prepare and analyze data and visualize and explore data, notate and highlight data and share data with others.

Smarten CEO, Kartik Patel says, “Our business users leverage Augmented Analytics to identify the important ‘nuggets’, buried in traditional data, and to connect the dots, find exceptions, identify patterns and trends and better predict results, and they can do so without specialized skills or a knowledge of statistical analysis or assistance from data scientists or the IT team.”

There are many features and benefits to the Smarten approach to Advanced Data Discovery. Here are just a few:

  • Self-Serve Data Preparation – Self-Serve Data Preparation empowers business users with access to meaningful data and prepares data for analysis without the assistance of data scientists or ETL experts or IT staff.
  • Smart Data Visualization – Smart Data Visualization gives users a helping hand with suggestions and recommendations for the best possible visualization of underlying data to generate meaningful insights from data.
  • Assisted Predictive Modeling – These tools enable the average business user to leverage sophisticated predictive algorithms without requiring statistical or data science skills.

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

Augmented Analytics allows every user, data scientist and enterprise user to enjoy the benefits of advanced analytics with sophisticated features that include suggested relationships, clear, concise identification of patterns and suggested visualization techniques and formats. Users can highlight trends and patterns, test hypotheses and theories to reduce business risk, and easily predict and forecast results.

This 100% browser-based, mobile BI solution is flexible, scalable and easy to implement with minimal training and implementation time and unmatched ROI and TCO. By empowering users with Smarten tools, every organization can optimize resources, achieve strategic and operational goals and create a competitive advantage.

Original Post: Smarten Augmented Analytics: Sophistication and Simplicity

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Flexible Deep Dive Analytics for Business Users! https://www.elegantjbi.com/blog/2019/08/13/august-13-2019/deep-dive-analytics.htm https://www.elegantjbi.com/blog/2019/08/13/august-13-2019/deep-dive-analytics.htm#comments Tue, 13 Aug 2019 09:49:27 +0000 https://www.elegantjbi.com/blog/?p=6160 Continued]]> Deep Dive Analytics: Simple Answers to Complex Questions!Your Users are Starving for Info. Deep Dive Analytics Can Feed Your Business!

What exactly is deep dive analytics? It might help to think of deep dive vs. simple analysis as a comparison similar to a one-ingredient dish vs. a dish with multiple ingredients, flavors and aromas. Which would you rather eat? Exactly! You want something that provides all the flavors and the experience you need in dining.

In a similar way, deep dive gives you more refined, insightful information with which to make decisions. When compared to simple analysis using a spreadsheet or staring at data and trying to draw conclusions, Deep Dive Analytics reveals the ‘nuggets’ of information you need to get a jump on the competition and to identify trends, patterns and opportunities.

Just imagine that you could identify the root cause behind why a particular branch is not performing. Expense, sales, salaries, customer analytics, profitability, and their combination will be needed for answers, but this is an impossible task in a pre-configured dashboard that provides you with just filtering, drill down and drill up, and similar operations.

If you have the flexibility to dive into data and ask difficult questions, you can solve complex problems. You can use ad hoc analysis with a large range of data operations to explore and discover value from your data. With the right tools, there are no limits on how you use date and time. Monitoring dashboards are usually limited to two to three predefined options for a time series.

Deep Dive analysis allows you to make cross tabs with filters and data operations so you can ask questions on the fly to make decisions. In Deep Dive analytics, you can explore and investigate problems on your own as a business user. You don’t need the help of an IT staff member or an analyst. You can drill into the data the way you want and add columns, compare disconnected time periods, add columns with computed data, rank, filter, sort, change data operations, change summary operations and groups.

Why leave your business users starving for good, solid information when you can give them a flavorful, multi-layered experience that will feed their needs and empower them to make better decisions.

If that sounds good to you, take a look at this: Get Deep Dive Analytics.

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Citizen Data Scientists Rule! https://www.elegantjbi.com/blog/2019/08/09/august-09-2019/citizen-data-scientists.htm https://www.elegantjbi.com/blog/2019/08/09/august-09-2019/citizen-data-scientists.htm#comments Fri, 09 Aug 2019 07:17:09 +0000 https://www.elegantjbi.com/blog/?p=6157 Continued]]> What’s So Great About Citizen Data Scientists?Why Should Your Business Users Want to Become Citizen Data Scientists?

You have probably heard a lot about the benefits of transforming business users into Citizen Data Scientists by deploying an advanced analytics platform. Let’s say you did your homework and found just the right solution so that all your needs are met and your business users can happily embrace the solution and become empowered – and in so doing, add value and accountability to your organization.

But, in order to complete this picture, you will need to help your business users see the benefit to THEM! So, what kind of value can your business users expect to experience when they engage in the use of Augmented Analytics?

First, they do not have to wait for crucial information to be gathered and reported by IT or data scientists or analysts. If they have an issue they want to understand so they can answer a customer question or present data to a manager, they can use auto-recommendations on how to best visualize data and what algorithms to use to analyze a particular type of data and get to where they are going quickly and without frustration.

Secondly, they will gain insight into problems and opportunities and get to the root cause of issues before they negatively impact the business. They can gain perspective and even test theories and hypotheses so they can assess results before making that decision, thereby avoiding a misstep.

Thirdly, business users can make timely, accurate decisions and managers will know that these decisions are based on facts and driven by data rather than guesswork or opinion.

For those users that love using their creativity and may be inclined toward power use of solutions, these Advanced Analytics Tools can allow them to spread their wings and help them to show their true potential.

Transforming business users with average technical skills into Citizen Data Scientists is definitely a benefit to the individual and to the organization.

If you want to enjoy the benefits of Citizen Data Scientists, improve user satisfaction and make timely, accurate decisions, you can start here: Benefits of Citizen Data Scientists and Augmented Analytics.

Original Post: What’s So Great About Citizen Data Scientists?

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Get Augmented Analytics Advantages Now! https://www.elegantjbi.com/blog/discover-the-advantages-of-augmented-analytics.htm https://www.elegantjbi.com/blog/discover-the-advantages-of-augmented-analytics.htm#comments Wed, 07 Aug 2019 10:03:33 +0000 https://www.elegantjbi.com/blog/?p=6152 Continued]]> Discover the Advantages of Augmented Analytics!Do You Know the Benefits of Advanced Analytics? Find out Now!

The benefits of advanced analytics are many and the current support in the market for business user access and data insight provides expanded advantages of advanced analytics.

Access to these crucial tools is no longer limited to IT and data scientists or analysts. Business users can leverage Augmented Analytics advantages by using tools that make suggestions and recommendations to help a user decide how to visualize data, which algorithms and analytical techniques to use for forecasting and prediction and many other features that make the use of these tools simple and add value.

Augmented Analytics Benefits include clear insight into data to find those ‘ah hah’ moments that will help a user to solve a problem, find the root cause of an issue, test theories and hypotheses, share data and information and clearly identify new approaches to customers, suppliers and to the market.

Contact Us today to find out more about the Advantages of Augmented Analytics.

Original Post: Discover the Advantages of Augmented Analytics!

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Business Analytics Helps You See the Future! https://www.elegantjbi.com/blog/data-analytics-brings-it-all-together.htm https://www.elegantjbi.com/blog/data-analytics-brings-it-all-together.htm#comments Mon, 05 Aug 2019 07:31:00 +0000 https://www.elegantjbi.com/blog/?p=6149 Continued]]> Data Analytics Brings it All Together!Business Analytics Tools Are the Secret Weapon of the Wise Enterprise!

Data analytics is a necessity in today’s competitive business market. It isn’t enough to guess at the cause of a problem or guess at the results you expect next year. In order to compete, you will need business analytics and self-service BI tools that allow each one of your business team members to see and use data in a way that is meaningful to them and that will help them to do their job more accurately, to make better decisions, to share and use data with confidence.

When it comes to planning and forecasting for resources, new locations, new products, changes in customer buying behavior, risk analysis, competitive analysis and other crucial factors, Business Analytics Tools can make the difference between success and failure, avoid delays and missteps in the market and allow for growth without chaos.

Data analytics software need not be difficult to navigate. With the right data analytics tools a business can affordably and quickly implement tools for business users (without lengthy, complex training) and easily gather, prepare, analyze and report on data. Most businesses have plenty of data but that data is stored in different places and in different formats and it is difficult (or impossible) to marry these data sources. To make the most of your data you will need to gain insight into the reasons for success, the need for additional training, the appropriate price point for a product, the right way to market, and more!

If you want to empower your business users and your organization with Business Intelligence and optimize results and resources, Contact Us now.

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Tally Mobile Apps Offers Great User Support! https://www.elegantjbi.com/blog/tally-app-for-mobile-ensures-access-to-critical-information.htm https://www.elegantjbi.com/blog/tally-app-for-mobile-ensures-access-to-critical-information.htm#comments Thu, 01 Aug 2019 11:38:37 +0000 https://www.elegantjbi.com/blog/?p=6145 Continued]]> Tally App for Mobile Ensures Access to Critical Information!Tally Mobile App Offers Seamless Access and Seamless Support!

You know Tally® ERP! It is a very popular accounting and finance related solution that allows business users access to crucial information for analysis, update, and decision-making. The Tally app is a desktop application that has recently added mobile access and, with that mobile access, the popularity has soared even higher!

The Tally Mobile App provides support for Tally on Android and Tally for iOS and whether your users like Apple phones or prefer the pocket Tally for Android solution, they can enjoy the same seamless access and navigation to share reports in PDF and XLS formats via WhatsApp, email and other options and to display all ledgers, and all products with dependable, seamless search options and text searches throughout the application.

Support for Tally Mobile Apps will ensure that users quickly adopt the mobile solution with assistance available for registration, configuring the desktop app, completing payments and more!

There is no easier way to extend user access to critical Tally ERP features! Tally Mobile App offers many benefits to users and to the business organization. Contact Us today and let us help you explore the opportunities provided by the Tally App for Mobile.

Original Post: Tally App for Mobile Ensures Access to Critical Information!

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How Do I Prove the Value of Self-Serve Augmented Data Discovery? https://www.elegantjbi.com/blog/how-do-i-prove-the-value-of-self-serve-augmented-data-discovery.htm https://www.elegantjbi.com/blog/how-do-i-prove-the-value-of-self-serve-augmented-data-discovery.htm#comments Wed, 31 Jul 2019 11:36:31 +0000 https://www.elegantjbi.com/blog/?p=6142 Continued]]> How Do I Prove The Value Of Self-Serve Augmented Data Discovery?How does one measure the effectiveness of a new Augmented Data Discovery solution? Once the business has chosen data democratization and implemented a self-serve analytics solution, it must measure ROI & TCO and establish metrics that will compare business results achieved before and after the implementation.

Without measurable results, it will be difficult to garner and sustain support for business transformation and for creating an environment where Citizen Data Scientists can thrive. Senior managers, corporate stakeholders and naysayers may resort to gut feelings and business users may perceive that there is little to be gained from embracing self-serve advanced analytics tools if the management team does not value these new tools.

When an organization establishes metrics, it must consider its goals and objectives and analyze the results of actions taken and decisions made with the support of data analytics versus those made ‘the old way’. For example, if one were to set new pricing, decide on a new business location or create a new promotion based on Assisted Predictive Modeling, the business would measure the success and results versus the results achieved when decisions were made without data analytics.

Many organizations depend on the vision of one individual or a small team of executives who have market or industry experience. This approach can be difficult to defeat without clearly defined metrics and results to support the case for data-driven decisions. At its inception, these tools may be used to ‘test’ a theory or compare a direction or decision to another option. But, that is OK. By offering recommendations and options, the team will begin to consider other possibilities and, as the data foundation is created, the argument for ‘going with your gut’ will fade.

As the enterprise shifts its focus, and team members adopt and depend on Augmented Analytics for presentations, data sharing and reporting, the culture will shift and the business will gain a new appreciation for clear, precise data and the results it can produce in the planning process, in day-to-day decisions and in solving problems and identifying market potential.

Original Post: How Do I Prove the Value of Self-Serve Augmented Data Discovery?

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You Can Have BI Tools AND R Integration! https://www.elegantjbi.com/blog/2019/07/30/july-30-2019/bi-tools-with-r-integration.htm https://www.elegantjbi.com/blog/2019/07/30/july-30-2019/bi-tools-with-r-integration.htm#comments Tue, 30 Jul 2019 07:26:27 +0000 https://www.elegantjbi.com/blog/?p=6138 Continued]]> Look for a BI Solution with R Integration!Business Intelligence and R Scripting Integration!

When you choose a BI tool that is appropriate for your business users, you may be focused on ease-of-use and on Citizen Data Scientist and data democratization and data literacy initiatives but, don’t forget your analysts, data scientists and IT team members!

Your professional analysts and IT team members can certainly use the solution you choose for your business users and, while their focus may be more strategic and the outcome may require 100% accuracy, there is no reason to believe that your team cannot share the use of a Self-Serve Business Intelligence tool.

When you focus on requirements for business intelligence, look for a solution that allows for R integration and works well with the other tools your data scientists and IT team are used to leveraging. If your Business Intelligence Solution integrates seamlessly with R, the popular open source programming language and software environment for statistical computing, your analysts can integrate any R script with input and output configuration both to and from R script. Users 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).

As for power users, even if they are not Data Scientists, they might still want to leverage R scripting and they can do so without extensive training or knowledge. 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 embedded in the business intelligence solution.

If that sounds good to you, take a look at this: Business Intelligence with R Integration.

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Data Modeling Pulls it All Together for the Business! https://www.elegantjbi.com/blog/predictive-modeling-creates-a-clear-picture-of-the-future.htm https://www.elegantjbi.com/blog/predictive-modeling-creates-a-clear-picture-of-the-future.htm#comments Wed, 24 Jul 2019 06:12:21 +0000 https://www.elegantjbi.com/blog/?p=6129 Continued]]> Predictive Modeling Creates a Clear Picture of the Future!What is Predictive Analytics and How Can it Help My Business?

What is predictive analytics? Put simply, predictive analytics is a method used to forecast and predict the future results and needs of an organization using historical data and a comprehensive set of data from across and outside the enterprise.

Predictive Modeling allows users to test theories and hypotheses and develop the best strategy. It enables more accurate, dependable planning and allows the organization to use fact-based planning, rather than using guesswork or opinion or using incomplete data.

Data modeling provides a picture of products, services, locations, customers, investments, resources, competitors, marketing, sales and other aspects of the organization that will impact forecasting and planning.

If the business chooses an Advanced Analytics solution that includes Natural Language Processing (NLP), every member of the enterprise team can leverage these tools and plan for the future, asking questions in natural language and receiving answers in the same way. There is no need for programming or training in algorithms or statistical or analytical techniques.

Contact Us today to find out Predictive Analytics can help your business users analyze data and achieve results to make the best business decision.

Original Post: Predictive Modeling Creates a Clear Picture of the Future!

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Augmented Analytics with Smart Data Visualization! https://www.elegantjbi.com/blog/2019/07/11/july-11-2019/smart-data-visualization.htm https://www.elegantjbi.com/blog/2019/07/11/july-11-2019/smart-data-visualization.htm#comments Thu, 11 Jul 2019 08:09:34 +0000 https://www.elegantjbi.com/blog/?p=6132 Continued]]> Smart Data Visualization Works for All Business Users!Smart Data Visualization and Augmented Analytics Makes Users Smarter!

Why is smart data visualization important? Consider how difficult it would be to put together a jigsaw puzzle if you were blindfolded. You might have access to all the pieces, but you could not truly see the picture unless you were able to visualize the outcome.

Data is like that. You know you have all the pieces but you can’t really see the meaning until you can put it all together in a way that makes sense. Imagine how much better it would be to take all those disconnected pieces of data in your business and put them together into a meaningful picture – one that will tell you a story and help you get to the bottom of an issue, solve a problem, find an opportunity or understand why and how things are working the way they are!

Smart Data Visualization does that! With augmented analytics tools that allow you to choose how to visualize the data based on the type of data and what you want to accomplish…well, you can bypass all that confusion and get right to the solution. You can achieve that ‘ah hah’ moment without frustration. You can interact easily with Advanced Analytics Software (without the skills of a data scientists or IT professional) and build a view that will tell a story using guided visualization and recommended data presentation. Guided recommendations are made based on data type, volume, dimensions, patterns and nature of data.

Visual Analytics tools 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.

How does that sound? If you want the benefits of smart data visualization, you can start here!

Original Post: Smart Data Visualization Works for All Business Users!

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Business Intelligence Tools Are Suitable for Business Users! https://www.elegantjbi.com/blog/business-intelligence-and-analytics-need-not-be-complicated.htm https://www.elegantjbi.com/blog/business-intelligence-and-analytics-need-not-be-complicated.htm#comments Tue, 09 Jul 2019 09:25:01 +0000 https://www.elegantjbi.com/blog/?p=6126 Continued]]> Business Intelligence and Analytics Need Not Be Complicated!Data Analysis is Easier than Ever Today!

Business intelligence and analytics is not just for data scientists or IT professionals anymore. If your business is going to be successful, it must compete and it must solve problems, find opportunities and plan with accuracy. There is no time for a misstep in the market!

Today’s data analysis for business looks very different than what it did ten or 20 years ago. Today, business users are engaged and using Business Intelligence Tools to monitor and manage roles and responsibilities and to share data across teams and business units in order to create more uniformity of business, operational, tactical and strategic activity and to ensure that everyone is working with the same, accurate, timely data.

Dashboard software that is designed for business users empowers every team member, allows the organization to hold each team member accountable and enables sophisticated, Advanced Analytics without the need for advanced analytical skills or knowledge beyond that which is provided in the form of user guidance and auto-recommendations. These tools allow users to gain insight into data with recommendations on how to prepare, visualize and report on data.

Choose the right BI tools. Contact Us today to get started.

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Data Discovery, Data Visualization: You Can Have it All! https://www.elegantjbi.com/blog/augmented-analytics-software-frustration-free.htm https://www.elegantjbi.com/blog/augmented-analytics-software-frustration-free.htm#comments Wed, 03 Jul 2019 05:54:05 +0000 https://www.elegantjbi.com/blog/?p=6121 Continued]]> Augmented Analytics Software: Frustration Free!Self-Service Data Prep and Advanced Analytics for Business Users!

Are your business users trying their best to leverage advanced analytics tools, only to find that the software solution requires them to be an expert in data science? Do your users have to ask IT to professional analysts for data preparation assistance in order to ensure that they can access, prepare and use the data they need to analyze.

Data analysis does not have to be frustrating! With the right Augmented Analytics solution, business users can transform, shape, reduce, combine, explore, clean, sample and aggregate data, without the need for SQL skills, ETL or other programming languages. Self-Service Data Prep empowers every business user and allows them to prepare data for their analytics using tools that enable data extraction transformation and loading – ETL for business users! In other words, business users can quickly move data into the analytics system without waiting for IT. Users can access sophisticated, intuitive tools to compile and prepare data for use in analytics to test hypotheses, visualize data and create and share reports with other users.

Once the data is prepared and analyzed, business users can leverage visual analytics with augmented data visualization tools that will clearly and easily identify a problem and clarify a root cause. 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. Guided recommendations are made based on data type, volume, dimensions, patterns and nature of data.

If this all sounds like something your team can use, Contact Us to discover the Benefits of Augmented Analytics now!

Original Post: Augmented Analytics Software: Frustration Free!

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Business Intelligence Software for All Users! https://www.elegantjbi.com/blog/bi-reporting-and-bi-analytics-improve-business-intelligence.htm https://www.elegantjbi.com/blog/bi-reporting-and-bi-analytics-improve-business-intelligence.htm#comments Thu, 27 Jun 2019 08:36:13 +0000 https://www.elegantjbi.com/blog/?p=6118 Continued]]> BI Reporting and BI Analytics Improve Business Intelligence!Understanding Business Intelligence Will Help You Achieve Your Goals!

What is business intelligence? It is quite simple, really. Business intelligence is ‘intelligence’ about ‘business’. Having said that, we cannot really presume that ‘intelligence’ is simply data. Data on its own tells us little and can, at times, actually confuse the very issue you are trying to understand. In order to get to the heart of the business intelligence definition it is useful to consider that the word ‘intelligence’ as defined in the dictionary as ‘the ability to acquire and apply knowledge and skills’.

Business Intelligence is, therefore, knowledge that is acquired regarding a business and can be applied to solve problems, understand issues, identify opportunities, and forecast and plan results.

To make sense out of all the data in the organization, a business needs business intelligence software and a BI tool that is designed for business users with an easy-to-use interface and auto-recommendations and suggestions to lead users through sophisticated functionality to achieve BI Reporting, and BI analytics and to enable sharing of data to encourage social BI and improve business decisions.

If you want an easy-to-use business intelligence solution and Dashboarding Tools that your business users will adopt and use for day-to-day and strategic initiatives, Contact Us today.

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Take Tally to Mobile with Tally Mobile App! https://www.elegantjbi.com/blog/tally-mobile-app-tally-in-android-tally-for-ios.htm https://www.elegantjbi.com/blog/tally-mobile-app-tally-in-android-tally-for-ios.htm#comments Wed, 26 Jun 2019 08:21:09 +0000 https://www.elegantjbi.com/blog/?p=6115 Continued]]> Tally Mobile App: Tally in Android, Tally for iOS!Tally Mobile App Brings All the Power of Tally ERP to Smart Phones!

Today’s businesses depend on mobile solutions to make the most of resources, improve software ROI and productivity and keep business users informed while they are on the road, so they can make informed decisions and positively impact the bottom line. The Tally® ERP solution is a desktop application that is used by many businesses to manage accounting tasks and other financial related tasks.

The evolution of the Tally ERP product into the mobile arena has been positively received by users and businesses, as this shift of Tally to mobile allows users access to the desktop app from anywhere at any time. With near real-time updates, the Tally Mobile App allows user access for reporting, analysis and decision-making with seamless access to Tally for Android and Tally for iOS, so users are not restricted to access from a particular device.

Tally Mobile Apps allows users access to key indicators, trend tracking and analysis, recent transaction review and analysis, as well as all other processes and tasks.

If your team is using Tally ERP and you want to expand access and improve productivity, explore the possibilities of Tally Mobile App. Contact Us today and let us help you leverage the potential of Tally Mobile Apps.

Original Post: Tally Mobile App: Tally in Android, Tally for iOS!

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Advanced Analytics for Business Users? That’s Right! https://www.elegantjbi.com/blog/augmented-analytics-is-as-easy-as-1-2-3.htm https://www.elegantjbi.com/blog/augmented-analytics-is-as-easy-as-1-2-3.htm#comments Tue, 25 Jun 2019 10:01:02 +0000 https://www.elegantjbi.com/blog/?p=6110 Continued]]> Augmented Analytics is as Easy as 1-2-3!Data Discovery and Data Exploration to Advance the Organization!

Data discovery is not data management. If one is to make the right decisions in business, one must engage in data exploration and data profiling. In other words, one must gather, prepare and analyze data to truly understand how the business is working, what must change, what activities and tasks support the goals of the business, and what the business should anticipate in the future in terms of revenue, risk, resources, financial investment, growth, products, location and all other aspects of business.

When a business chooses an Advanced Analytics solution and deploys that solution to every corner of the enterprise, it can leverage all of its data in real time and allow every user to look at a problem, prepare for a meeting, test hypotheses and theories and share information with other users in order to advance the objectives of the business and align all activities and decisions with the desired outcome.

The concept of Augmented Analytics is one that is crucial to business success. Augmented analytics allows business users to access and analyze data from numerous sources in a simple, intuitive interface that provides an underpinning of sophisticated tools, analytical techniques and algorithms. Augmented analytics allows for data prep, Smart Data Visualization and Assisted Predictive Modeling with the help of machine learning and natural language processing (NLP), so users need not be trained as data scientists to get to the heart of the data and find those elusive nuggets of information that will help them create, change and improve.

If your business and business users are ready for Advanced Analytics and better, more accurate decisions, Contact Us today.

Original Post: Augmented Analytics is as Easy as 1-2-3!

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Self Service Business Intelligence For Your Team! https://www.elegantjbi.com/blog/enjoy-the-benefits-of-self-service-bi.htm https://www.elegantjbi.com/blog/enjoy-the-benefits-of-self-service-bi.htm#comments Fri, 21 Jun 2019 06:51:21 +0000 https://www.elegantjbi.com/blog/?p=6104 Continued]]> Enjoy the Benefits of Self Service BI!Self Service Business Intelligence For Your Team!

There are many benefits to self-service business intelligence and business analytics. Many (in fact most) enterprises are going to a self service BI environment that will increase the value of each team member by providing them with easy-to-use BI tools that they can leverage to make decisions, to understanding issues, to share data and plan for the future and to find business opportunities.

Business Analytics Tools offer flexible, personalized tools that allow every business user to manage their particular role and skill set so they can do their job to the best of their ability.

Business Analytics Software can help your business solve problems, identify market and competitive trends, establish new price points, introduce new products, anticipate changes in customer buying behavior, identify new business locations and plan for business investment.

Without the assistance of IT or data scientists, business users can employ computational linguistics, analytical algorithms and data mining in with natural language processing and search analytics to support data democratization and enhance the value of every team member.

If you want to empower your business users and your organization with Self Service Business Intelligence and optimize results and resources, Contact Us now.

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Predictive Analytics for Business Users! https://www.elegantjbi.com/blog/learning-for-citizen-data-scientists-easy-and-swift.htm https://www.elegantjbi.com/blog/learning-for-citizen-data-scientists-easy-and-swift.htm#comments Wed, 19 Jun 2019 10:19:34 +0000 https://www.elegantjbi.com/blog/?p=6098 Continued]]> Learning or Citizen Data Scientists – Easy and Swift!Encourage Data Literacy and Achieve Results with Assisted Predictive Modeling!

If you want to include predictive analytics and forecasting in your planning process, there are numerous analytical techniques and algorithms at your disposal.

You may hire a data scientist or analyst to help you plan OR, if your organization wishes to provide analytical access to business users, you will want to implement a self-serve Advanced Analytics solution that incorporates all of the standard, comprehensive techniques in an easy-to-use interface. These tools will provide auto-suggestions and recommendations and allow the average business user to leverage sophisticated tools without the knowledge or skill of a data scientist.

You can encourage data literacy and learning for Citizen Data Scientists so that business users with average technical skills can employ sophisticated techniques like Naïve Bayes Classifier, ARIMAX Forecasting, Frequent Pattern Mining, Karl Pearson Correlation, Hierarchical Clustering Algorithm and more, without the need for an analytical degree!

In short, augmented analytics learning does not have to include years of study. By its nature, augmented analytics and Assisted Predictive Modeling can be performed with little training, because the system does the work, and will make the appropriate recommendations for the type of algorithm or technique that is most appropriate for a certain type of data analysis.

Contact Us today to find out Augmented Analytics can help your business users analyze data and achieve results to make the best business decision.

Original Post: Learning for Citizen Data Scientists – Easy and Swift!

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Self-Serve BI Tools with Elegant Data Governance! https://www.elegantjbi.com/blog/2019/06/18/june-18-2019/bi-tools-data-governance-and-data-access.htm https://www.elegantjbi.com/blog/2019/06/18/june-18-2019/bi-tools-data-governance-and-data-access.htm#comments Tue, 18 Jun 2019 10:17:44 +0000 https://www.elegantjbi.com/blog/?p=6095 Continued]]> Business Intelligence and Analytics with Data Governance!BI Tools That Ensure Data Governance AND Business User Access!

Your business is excited about the prospect of implementing a self-serve business intelligence solution! You have heard your colleagues talk about the benefits of data democratization, and you know your business users will take full advantage of BI reporting, social BI, and mobile BI, and that they understand the importance of business intelligence and analytics. You want all the advantages offered by a great business intelligence solution, the BI dashboard, KPI software, and all those useful Business Intelligence Tools

There’s just one problem! Your IT team is steadfastly decrying the risk associated with putting all that data in the hands of every business user. What about security, data privacy, industry standards? There is no doubt that data governance is a real concern and I would never suggest that you minimize this issue BUT there is really no reason why you can’t have data democratization AND data governance at the same time. There’s really no reason you can’t make everyone happy!

Your business must reckon with the reality of open access, multiple platforms, expanding user devices, integrated data repositories and data democratization and it is important to understand the self-serve concept, and the importance of data governance and, at the same time, engender business user empowerment and accountability. If you try to overreach on data governance you are likely to end up creating a restrictive environment in which a few people are the sole keepers of critical data and that will not help you drive fact-based decision making.

You can achieve Data Governance with an IT controlled centralized semantic meta-data layer and still allow business users appropriate access to the data they need and the analytical tools and reports that will enable user adoption and increase the value of every team member. With the right BI Tools, your users can have data access without having to access data sources. Governed data will satisfy your IT team and executive management while still providing agile tools and functionality to allow your users to gather, manage and deliver data while protecting data integrity, data sources and data security.

If that sounds good to you, take a look at this: All in One Business Intelligence Technology, Security and Access.

 

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What is Natural Language Processing & How Does it Benefit a Business? (Part 3 of 3 articles) https://www.elegantjbi.com/blog/what-is-natural-language-processing-how-does-it-benefit-business.htm https://www.elegantjbi.com/blog/what-is-natural-language-processing-how-does-it-benefit-business.htm#comments Mon, 17 Jun 2019 08:48:04 +0000 https://www.elegantjbi.com/blog/?p=6091 Continued]]> What is Natural Language Processing & How Does it Benefit a Business? (Part 3 of 3 articles)Whether we know it or not, we use Natural Language Processing every day. It makes it easier for us to interact with computers and software and allows us to perform complex searches and tasks without the help of a programmer, developer or analyst.

In this, the last article in our three-article series we discuss Natural Language Processing and how it can benefit a business.

What is Natural Language Processing (NLP) Driven Analytics?

Natural Language Processing (NLP) is an integral part of today’s advanced analytics. If you have clicked in the search window on Google and entered a question, you know NLP! When NLP is incorporated into the business intelligence environment, business users can enter a question in human language. For example, ‘which sales team member achieved the best numbers last month?’ or ‘which of our products sells best in New York?’

The system translates this natural language search into a more traditional analytics query, and returns the most appropriate answer in the most appropriate form, so users can benefit from smart visualization, tables, numbers or natural language descriptions that are easy to understand.

How Does NLP-Based Analytics Benefit a Business Organization?

Perhaps the most important benefit of NLP is that it allows the business to implement Augmented Analytics in a self-serve environment with very little required training and ensures that users will adopt business intelligence and analytics as a tool to use every day.

NLP allows the enterprise to expand the use of business intelligence across the enterprise by offering business users an intuitive tool to ask for and receive crucial data and to understand the analytical output and share it with other users.

NLP opens and expands the data repositories and information in an organization in a way that is meaningful, and easy to understand, so data is more accessible and answers are more valuable. This will improve the accuracy of planning and forecasting and allow for a better overall understanding of business results.

Natural Language Processing helps business users sort through integrated data sources (internal and external) to answer a question in the way the user can understand, and will provide a foundation to simplify and speed the decision process with fact-based, data-driven analysis.

The enterprise can find and use information using natural language queries, rather than complex queries, so business users can achieve results without the assistance of IT or business analysts.

NLP presents results through Smart Visualization and contextual information delivered in natural language. Because these tools are easy to use and to understand, users are more likely to adopt them and to add value to the organization.

With NLP searches and queries, business users are free to explore data and achieve accurate results and the organization can achieve rapid ROI and sustain low total cost of ownership (TCO) with tools as familiar as a Google search.

Users can combine NLP with Plug n’ Play Predictive Analysis or Assisted Predictive Modeling so the organization can achieve data democratization.

NLP and the Advanced Data Discovery tools it supports can provide important, sophisticated tools in a user-friendly environment to suggest relationships, identify patterns and trends, and offer insight to previously hidden information so business users can ‘discover’ subtle, crucial problems and opportunities.

Natural Language Processing (NLP) is an integral part of today’s Advanced Analytics. It establishes an easy-to-use, interactive environment where users can create a search query in natural language and, as such, will support user adoption and provide numerous benefits to the enterprise.

For more information on this topic read, ‘What is Clickless Analysis? Can it Simplify Adoption of Augmented Analytics? (Part 1 of 3 articles)’ and, ‘What is Search Analytics and Can it Improve Self-Serve Data Discovery? (Part 2 of 3 articles)’

Original Post: What is Natural Language Processing & How Does it Benefit a Business? (Part 3 of 3 articles)

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Business Users Can Enjoy Self-Serve Data Preparation! https://www.elegantjbi.com/blog/2019/06/13/june-13-2019/self-serve-data-preparation.htm https://www.elegantjbi.com/blog/2019/06/13/june-13-2019/self-serve-data-preparation.htm#comments Thu, 13 Jun 2019 08:14:51 +0000 https://www.elegantjbi.com/blog/?p=6086 Continued]]> Self-Serve Data Preparation for Business Users!The Benefits of Self-Serve Data Prep for YOU and Business Users!

I won’t lie to you! The benefits of augmented analytics that includes self-serve data preparation for business users…well, those benefits are truly impressive! So, let’s cut to the chase. With self-serve data preparation tools, you can:

  • Improve business analyst and business user productivity
  • Reduce the time to prepare data for analysis
  • Reduce user dependence on analysts, ETL and SQL expertise
  • Engender social BI and data popularity
  • Balance agility with data governance and data quality

So, why wouldn’t your organization want to implement Data Preparation Software that is easy enough for every business user? Probably because your IT team and/or your executive management team believe it is a) too expensive, b) will take a long time to implement, c) will not be something users CAN adopt because of the need for expertise or skills.

To those naysayers, I would respond that they simply haven’t found the right Advanced Analytics solution! With the right solution and features, business users with average skills can perform data preparation tasks with ease and get results quickly. These easy-to-use tools allow business users to transform, shape, reduce, combine, explore, clean, sample and aggregate data, without the need for SQL skills, ETL or other programming language.

Self-Service Data Prep empowers every business user and allows them to prepare data for their analytics using tools that enable data extraction transformation and loading (ETL) so users can quickly move data into the analytics system without waiting for IT or data scientists.

Give your business users the power to access sophisticated, intuitive tools and compile and prepare data for use in Data Analytics, so they can test hypotheses, visualize data and create and share reports with other users. These simple tools provide recommendations and guidance so your business users will get the output they expect and can make the right business decision.

If you want the benefits of self-serve data preparation, you can Start Here!

Original Post: Self-Serve Data Preparation for Business Users!

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Business Intelligence Consulting Services! https://www.elegantjbi.com/blog/business-intelligence-services-and-solutions-for-all.htm https://www.elegantjbi.com/blog/business-intelligence-services-and-solutions-for-all.htm#comments Tue, 11 Jun 2019 11:17:08 +0000 https://www.elegantjbi.com/blog/?p=6083 Continued]]> Business Intelligence Services and Solutions for All!A Business Intelligence Company with Solutions and Services for Your Business!

When your business begins the process of choosing or changing business intelligence tools and business intelligence services, it is easy to get confused! There are many choices in the market and not all of them are created equal. A business intelligence company offering solutions, features and functionality for advanced analytics must be suitable for your requirements or your initiative will not succeed.

If your business wants to implement a Self Service BI Tool, you will want to consider the flexibility, scalability and mobility of the solution and also the ease of use for the average business user. Is the solution easy enough for business users to adopt without a lot of training? Is implementation easy and fast? Is the solution cost effective?

You will also want to look at Business Intelligence Integration with data sources to be sure you can bring data from all sources into the analytical environment. If your analysts, data scientists or IT team members are going to use the solution, you will also want to consider whether the solution is easily integrated and usable with SAP, Tally ERP Solution, R scripting and all types of databases.

If you plan to engage a partner as a business intelligence consultant to help you get up and running, be sure the Business intelligence consulting services are performed by a team that has a comprehensive understanding of the market, the solution, the types of issues your business will face in rolling out this type of solution in the enterprise and the organizational and cultural changes required to achieve optimal adoption and use of the BI tools .

If you want to avoid guesswork and choose the right BI tools and Business Intelligence Technology and Consulting Services, Contact Us today to get started.

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The Benefits of Augmented Analytics Are Many! https://www.elegantjbi.com/blog/enjoy-the-advantages-of-advanced-analytics.htm https://www.elegantjbi.com/blog/enjoy-the-advantages-of-advanced-analytics.htm#comments Thu, 06 Jun 2019 09:37:07 +0000 https://www.elegantjbi.com/blog/?p=6080 Continued]]> Enjoy the Advantages of Advanced Analytics!What are the Advantages of Augmented Analytics and How Can My Business Benefit?

It is hard to overstate the benefits and advantages of advanced analytics. If an enterprise takes the time to review and document requirements for an advanced analytics solution and chooses wisely, it can improve its bottom line, optimize competitive strategies, plan for new products and pricing initiatives, establish marketing channels and messaging for target markets and customers and plan for resources, training, financial investment, supplier and partnership opportunities and more.

And, the Benefits of Augmented Analytics provide enough more advantages. An augmented analytics solution is designed to encourage user empowerment and user adoption and to enable data sharing. Augmented analytics support allows the organization to produce fast, dependable insights and improve the value of business analysis across the enterprise.

If you can democratize Advanced Analytics and distribute these tools to all business users, you can allow every team member to have access to and share data and to gather, integrate and analyze data to drive fact-based decisions across the enterprise. Users can be creative and the organization will engender power users and data popularity and support timely, accurate decisions by providing insight and perspective.

Analysts and IT team members will have more time to attend to critical projects and strategic initiatives and business users will become more data literate.

If your organization leverages the Benefits of Advanced Analytics, your business will enjoy maximum results, with minimal training requirements, minimum implementation time and minimal support and you will achieve rapid ROI and low TCO.

Contact Us to discover the Advantages of Augmented Analytics now!

Original Post: Enjoy the Advantages of Advanced Analytics!

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Smarten Advanced Analytics is a Silver Sponsor for Gartner Data & Analytics Summit, June 2019 in Mumbai, India https://www.elegantjbi.com/blog/smarten-advanced-analytics-is-a-silver-sponsor-for-gartner-data-analytics-summit-june-2019-mumbai-india.htm https://www.elegantjbi.com/blog/smarten-advanced-analytics-is-a-silver-sponsor-for-gartner-data-analytics-summit-june-2019-mumbai-india.htm#comments Wed, 05 Jun 2019 09:02:36 +0000 https://www.elegantjbi.com/blog/?p=6075 Continued]]> Smarten Advanced Analytics is a Silver Sponsor for Gartner Data & Analytics Summit, June 2019 in Mumbai, IndiaSmarten, an advanced analytics service provider, has announced that it will act as a Silver Sponsor for the Gartner Data & Analytics Summit 2019, June 10 through June 11 in Mumbai, India where it will demonstrate its Smarten Advanced Analytics solution and its product roadmap for the future of the Smarten Augmented Analytics product suite.

Kartik Patel is the CEO of Smarten. “The Gartner Data & Analytics Summit attracts the leading minds of the analytical community, including information architects, CAOs, CDOs, data analysts and executives from many functional disciplines,” says Patel. “We are pleased to represent the Smarten Advanced Analytics vision as a Silver Sponsor for this important Summit.”

The Smarten advanced analytics team will participate in the Gartner Data & Analytics Summit and engage with partners and clients to demonstrate the Smarten approach to Augmented Analytics and join with Summit attendees to explore the future of analytics and fact-based business strategy. The Summit will take place at the Renaissance Mumbai Convention Centre Hotel in Mumbai, India on June 10 and June 11, 2019.

Smarten clients, partners and technology innovators are invited to visit the Smarten team at Booth No. S2 to discover the Smarten advanced analytics product and explore the Smarten roadmap that promises to lead this product into the exciting future of advanced analytics and Data Literacy.

CEO Patel, says, “As the Smarten product evolves, it is truly exciting to see the ways in which business users, data scientists, IT staff and business managers have embraced and adopted advanced analytics as part of the day-to-day and strategic business decision process.”

The Smarten self-serve advanced analytics solution includes smart data visualization, assisted predictive modeling and self-serve data preparation, all of which support the transformation of business users into Citizen Data Scientists. The product roadmap includes Smarten Auto Insights, to free business users and reduce the time and skills required to produce accurate, clear results, quickly and dependably. Auto Insights leverages machine learning allowing the user to collect and analyze data with the guided assistance of a ‘smart’ solution. The Smarten roadmap also includes Natural Language Processing (NLP) based ‘Clickless Analytics‘ that further refine and simplify the search analytics process to create tools that are truly self-serve and enable creativity, innovation and user empowerment and accountability.

The Smarten Team of India-based experts combines business intelligence, business analysts, data scientists, engineers and data warehouse (DWH) professionals, working together in a dedicated team environment to re-imagine advanced analytics and support data democratization across the entire enterprise.

Join the Smarten Team at the Gartner Data & Analytics Summit 2019 June 10 through June 11, 2019 at the Renaissance Mumbai Convention Centre Hotel in Mumbai, India, Booth No. S2 and find out how Smarten augmented analytics can engender and simplify analytics throughout the organization.

Original Post: Smarten Advanced Analytics is a Silver Sponsor for Gartner Data & Analytics Summit, June 2019 in Mumbai, India

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Encourage Data Literacy with Easy BI Tools! https://www.elegantjbi.com/blog/choose-a-user-friendly-bi-solution.htm https://www.elegantjbi.com/blog/choose-a-user-friendly-bi-solution.htm#comments Mon, 27 May 2019 10:29:48 +0000 https://www.elegantjbi.com/blog/?p=6071 Continued]]> Choose a User-Friendly BI Solution!BI Reporting Tools That Are Easy to Use and Share!

When you are looking for a BI solution, do not ignore the trend toward data democratization and data literacy among your team members. To create the greatest assets to your company and improve team member value, you want to provide access to critical data and a simple way to perform advanced analytics so that users will adopt BI tools and you can create a social BI environment with improved data popularity and power users who will share knowledge and encourage the use of data and fact-driven decision-making.

An intuitive BI Dashboard is critical and one that can be easily personalized to create meaningful views that help a business user fulfill their daily and strategic objectives is a great way to improve your bottom line and to drive a common understanding of goals throughout the enterprise.

BI Reporting does not have to be restricted to analysts or IT staff. With the right BI reporting tools business users can leverage auto-recommendations to help them visualize data in a way that will make that data clearer and easier to interpret and they can easily create reports that are flexible and customized to their needs for a particular purpose or audience.

BI Dashboarding Tools need not be static or restrictive. They can help users with an integrated view of data from disparate sources and the easy-to-use yet sophisticated tools that give them the power to get the job done and to make confident decisions, to identify opportunities and test theories, all in a user-friendly environment.

If you want an easy-to-use Dashboarding Tools that your business users will adopt and use for day-to-day and strategic initiatives, Contact Us today.

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Augmented Data Discovery Offer Guidance to Business Users! https://www.elegantjbi.com/blog/advanced-data-discovery-does-not-have-to-be-difficult-to-use.htm https://www.elegantjbi.com/blog/advanced-data-discovery-does-not-have-to-be-difficult-to-use.htm#comments Thu, 23 May 2019 09:57:57 +0000 https://www.elegantjbi.com/blog/?p=6068 Continued]]> Advanced Data Discovery Does Not Have to Be Difficult to Use!Smart Data Discovery Takes the Guesswork Out of Advanced Analytics!

If you are implementing a data democratization project and you want the most sophisticated, easiest advanced data discovery solution so your business users can get the most out of the initiative and add the most value to the enterprise, you definitely want to look at a data discovery tool that provides augmented analytics.

Augmented Data Discovery tools offer guidance, auto-suggestions and recommendations to business users do not have to guess at what techniques to use for data visualization, or predictive analytics. Smart data discovery allows users to leverage sophisticated tools, algorithms and analytical techniques without the expertise of an IT staff member or a data scientist, so users are empowered and more likely to adopt the tools and use them to benefit the organization and their teams.

Advanced analytics tools DO have to be founded on comprehensive analytical standards and practices but they DO NOT have to be difficult to use! Today’s data discovery tools are flexible, intuitive, mobile and designed to bring Advanced Analytics to every user in the organization.

If you would like to find out how you can successfully adopt Advanced Analytics ToolsContact Us today.

Original Post: Advanced Data Discovery Does Not Have to Be Difficult to Use!

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The Mobile Tally App Makes Access Easy on Any Device! https://www.elegantjbi.com/blog/tally-in-mobile-extends-the-office-environment-to-the-road.htm https://www.elegantjbi.com/blog/tally-in-mobile-extends-the-office-environment-to-the-road.htm#comments Wed, 22 May 2019 07:54:11 +0000 https://www.elegantjbi.com/blog/?p=6065 Continued]]> Tally in Mobile Extends the Office Environment to the Road!Tally App for Mobile is the Perfect Marriage of Mobility and Productivity!

The Tally ERP solution is one that is quite familiar to users, especially in India. Its features and functionality support accounting and financial related activities and the solution is used by many businesses.

When you add mobility to this solution, users have the ability to use the Tally features on the road and Tally in Mobile adds many benefits to the already impressive list of advantages. Users can leverage familiar tools and the business will enjoy faster ROI. With Tally app for mobile devices your organization can extend the office environment and ensure improved productivity, swift analysis and support for business decisions from anywhere at any time.

Whether you want to use the Tally Android App or Tally for iOS, the access is seamless and the Tally Mobile App provides near real-time access for reporting, analysis, input, and other tasks.

The Tally Mobile App makes it easy for users to leverage their favorite application on any device, at any time. Contact Us today and let us help you discover the expanded value of the Mobile Tally App.

Original Post: Tally in Mobile Extends the Office Environment to the Road!

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Successful Augmented Analytics Initiatives Do Not End with Implementation! https://www.elegantjbi.com/blog/successful-augmented-analytics-initiatives-do-not-end-with-implementation.htm https://www.elegantjbi.com/blog/successful-augmented-analytics-initiatives-do-not-end-with-implementation.htm#comments Tue, 21 May 2019 09:57:27 +0000 https://www.elegantjbi.com/blog/?p=6061 Continued]]> Successful Augmented Analytics Initiatives Do Not End with Implementation!The successful implementation of an augmented analytics solution for business users is not just about choosing a cost-effective tool and completing a timely deployment, nor does the process stop with training. In order to get business users to embrace and adopt self-serve augmented data discovery tools, the enterprise must approach the implementation with appropriate change management processes.

If you want a business user or a team to align with the Citizen Data Scientist philosophy, you must engage the enterprise at every level. Senior managers and executives must understand why it is important to build a data-driven business environment and how that environment can help the organisation to succeed. The enterprise must require that analysis and data is used in presentations and decision-making, and it must reward this evolution appropriately. Creating Analytics Translator roles within the organisation is also helpful. Recognise and organise around this liaison role by allowing power users and those who can build a bridge between data scientists, IT and the business user base.

If the organisation is to get the most out of data democratization and augmented analytics, it must not ignore the importance of change management in rolling out the tools and the process. Making Data Analytics part of the day-to-day and strategic decision process is key. Making sure that business users have access to the data they need to successfully gather and analyse data and to share, report and publish data is a necessity, and the IT staff, data analysts and managers must be available to encourage and support the use of these tools and to answer questions and clarify usage and processes as necessary.

When data analysis is presented, team managers and executives should take the next step by establishing metrics and assigning actions to staff members to address and improve results, tackle issues or capitalise on the opportunities identified the analytics. In this way, the organisation can ensure follow through and embed the analysis process and the data focus within every team goal and objective.

To successfully implement and leverage Augmented Analytics in the organisation, the enterprise and its managers and executives must commit to the daily use of these tools and must assess workflow and processes to incorporate the data-driven philosophy into every process and goal. It must encourage and grow data literacy by transforming business users into Citizen Data Scientists and Analytics Translators so that all team members are comfortable with the tools and the concepts.

Original Post: Successful Augmented Analytics Initiatives Do Not End with Implementation!

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Data Analytics Does Not Have to be Daunting! https://www.elegantjbi.com/blog/business-analytics-is-for-every-size-and-type-of-company.htm https://www.elegantjbi.com/blog/business-analytics-is-for-every-size-and-type-of-company.htm#comments Tue, 21 May 2019 07:56:20 +0000 https://www.elegantjbi.com/blog/?p=6058 Continued]]> Business Analytics is for Every Size and Type of Company!The Right Business Analytics Tool Will Help Your Business!

Don’t let business analytics intimidate you! Whether you are a small, medium or large enterprise; whether you have an unlimited budget or a tight budget, whether you have a team of analysts and data scientists or one individual struggling to provide the data your team needs to make decisions – you CAN and MUST embrace data analytics.

Your competitors are using Data Analytics Tools, and so should you! You don’t need to worry about the cost of the data analytics software or about the or the staff to perform the analysis. If you choose a self-serve BI tool, business users with average skills can adopt and use business analytics tools to the benefit of an individual, a department, a business unit and the entire organization.

Choosing the right Business Analytics Tools can speed implementation and user adoption. Choose tools that require minimal training; tools that are mobile and easy to leverage so you can encourage social BI, data sharing and power users. These tools will allow your users to test theories, perform accurate forecasting and planning, understand problems, target customer demographics, refine the supply chain, create marketing strategies and more!

If you want to take your business to the next level, you (and your users) can achieve better results and optimize resources with business analytics that are designed for Every Skill, Every Size Company and Every Industry.

Contact Us now to find out how to get started.

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Data Science and Predictive Analytics Made Simple! https://www.elegantjbi.com/blog/the-importance-of-data-analysis-cannot-be-overstated.htm https://www.elegantjbi.com/blog/the-importance-of-data-analysis-cannot-be-overstated.htm#comments Mon, 20 May 2019 09:38:15 +0000 https://www.elegantjbi.com/blog/?p=6055 Continued]]> The Importance of Data Analysis Cannot be Overstated!Augmented Analytics Tools to Support Business Users and the Organization!

The importance of data analysis cannot be overstated, but if the enterprise does not choose the right data analysis tool, it will not achieve its potential and it is likely to frustrate the business users who are now expected to participate in the analytical process.

Data Science and Predictive Analytics must be made simple, but based on sophisticated features that will enable data modeling and predictive analytics technique. Data exploration tools that capitalize on the use of Natural Language Processing allow users to submit a query using natural language and to receive results in the same manner so there is no need for interpretation of data by a data scientist.

Business Analytics tools should also recognize the importance of data visualization and help business users to choose from among the many data visualization types so that each user receives recommendations for how best to visualize the data, considering the type of data being analyzed.

Contact Us today to find out Augmented Analytics Tools can help your business users analyze data and receive results in a way that is meaningful to them and that will help them to make the best business decision to support a positive outcome.

Original Post: The Importance of Data Analysis Cannot be Overstated!

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Predictive Analytics Use Cases: Envision Success with Comprehensive Planning and Forecasting! https://www.elegantjbi.com/blog/predictive-analytics-use-cases-envision-success-with-comprehensive-planning-and-forecasting.htm https://www.elegantjbi.com/blog/predictive-analytics-use-cases-envision-success-with-comprehensive-planning-and-forecasting.htm#comments Fri, 17 May 2019 12:17:52 +0000 https://www.elegantjbi.com/blog/?p=6044 Continued]]> Predictive Analytics Use Cases: Envision Success with Comprehensive Planning and Forecasting!When it comes to using Predictive Analytics and a self-serve augmented analytics environment, businesses often want to sell the management team on these tools by suggesting real-world use cases that reflect the needs of the organization and illustrate how advanced analytics can help business users and the organization at large with accurate, efficient insight into the planning and forecasting process, and the ability to identify trends and patterns, understand target custom buying behavior, predict fraud and loan default, combine internal and external data analytics, manage quality, improve demand planning and marketing processes and manage human resource attrition.

These are just some of the examples of use cases that effectively illustrate how your business can benefit from predictive analytics in real-world scenarios. Whether you need to anticipate and plan for equipment maintenance, target online customers, control customer churn, or identify ways to cross-sell and upsell customers on existing and new products and services, these predictive analytics tools can help you to optimize your marketing budget and your resources and mitigate risk and market missteps.

The benefits of advanced analytics and assisted predictive modeling are too numerous to provide a complete list here. Whether you are using these tools for day-to-day or strategic planning, self-serve augmented analytics provides easy-to-use tools for business users and analysts alike and these tools can be used to achieve a competitive advantage and make better, more educated business decisions.

Gain insight into customers, competition, resource allocation, investments, new product and service offerings, supply chain and production issues and more.

Learn More: Augmented Analytics Use Cases

Explore these use cases and discover how predictive analysis, and self-serve, advanced analytics tools can help you achieve your goals.

Learn more about Augmented Analytics, its uses, techniques and applications.

Contact Us today to find out how you can create your own success story with assisted predictive modeling and augmented analytics.

Original Post: Predictive Analytics Use Cases: Envision Success with Comprehensive Planning and Forecasting!

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Predictive Analytics Use Case: Online Target Marketing! https://www.elegantjbi.com/blog/predictive-analytics-use-case-online-target-marketing.htm https://www.elegantjbi.com/blog/predictive-analytics-use-case-online-target-marketing.htm#comments Fri, 17 May 2019 10:18:35 +0000 https://www.elegantjbi.com/blog/?p=6041 Continued]]> Predictive Analytics Use Case: Online Target Marketing!To make the most out of online marketing, every organization must target the customers with the most promising profile. Businesses must understand what makes customers click on an ad, and what will compel them to make a purchase. Who is most likely to purchase your product or service? Where do they live, how old are they, how many children do they have (if any), what is their annual income, and what interest or driving force is the best fit for what you have to offer?

Predictive analytics can help the business to understand online buying behavior, and when, where and how to serve ads, market products and offer discounts or other incentives.

Assisted predictive modeling and advanced analytics incorporates data from social media, email marketing campaigns, Google analytics, apps and web sites, ecommerce channels, sales data and more to analyze products, pricing, customer geography, preferences, demographics and other data. It factors in seasonality, competitive positioning and many other considerations to help the business design campaigns that better target the ideal customer with a concise message to achieve sales conversion.

Whether you enterprise is engaged in online retail, media services, subscription services, entertainment, health insurance, financial services, life, home or auto insurance or professional services like IT consulting or event planning, predictive analytics can help you understand your clients and gain insight into what will make your customers more loyal, what types of campaigns will bring in the most new clients and more!

Use Assisted Predictive Modeling and Predictive Analytics to paint a clear picture, to test theories and hypotheses, to optimize the cost per click and improve customer target and sales conversion. Predictive analytics will help you optimize your marketing budget and improve brand loyalty.

Learn More: Online Target Marketing Use Case

View the Online Target Marketing Use Case Slide Share

We invite you to explore other use cases and discover how predictive analytics, and assisted predictive modeling can help your business to achieve its goals.

Contact Us today to find out how your industry or business function can apply Predictive Analytics to improve results and forecasting.

Original Post: Predictive Analytics Use Case: Online Target Marketing!

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Predictive Analytics Use Case: Predictive Analytics Using External Data! https://www.elegantjbi.com/blog/predictive-analytics-use-case-predictive-analytics-using-external-data.htm https://www.elegantjbi.com/blog/predictive-analytics-use-case-predictive-analytics-using-external-data.htm#comments Fri, 17 May 2019 07:39:01 +0000 https://www.elegantjbi.com/blog/?p=6038 Continued]]> Predictive Analytics Use Case: Predictive Analytics Using External Data!There is a lot of information within your enterprise, and being able to analyze that information is crucial to decision-making and to managing your business and predicting results with efficiency and accuracy. But, when it comes to information, the average business may have quite a bit of data within its walls but, it often falls short of painting a complete picture because the data it needs is not maintained within its internal systems.

With the right advanced analytical tools, a business can combine internal and external data to understand and anticipate trends, patterns and factors that will affect the bottom line, the supply chain, resource and location planning and other aspects of business success.

If you can easily integrate data from sources outside the business, you can provide a more comprehensive picture for predicting and forecasting results and anticipating the needs of the market.

External data may come from industry or government sources but your business does not have the time or the resources to integrate this data manually and analyze that data. But, with the right augmented analytics solution, this process is simple. External data can be integrated with internal data sources and analyzed efficiently and quickly.

Where external factors like GDP can affect the success of the organization, the enterprise should consider these issues in the planning process and augmented analytics can help you by merging internal data and external data. These techniques can be beneficial for infrastructure planning, construction, highway planning and management, government, agriculture, weather, travel and city planning, and can help the business to plan for resources, locations, supply chain, marketing, inventory, pricing, risk management, maintenance and other planning activities.

Your business can leverage Assisted Predictive Modeling and Predictive Analytics to integrate and analyze internal and external data and identify key issues, risks, opportunities, scheduling and seasonal issues and resource management.

Learn More: Predictive Analytics Using External Data

View the Predictive Analytics Using External Data Use Case Slide Share

We invite you to explore other use cases and discover how predictive analytics, and assisted predictive modeling can help your business to achieve its goals.

Learn more about Augmented Analytics, its uses, techniques and applications.

Contact Us today to explore the potential of predictive analytics using external data.

Original Post: Predictive Analytics Use Case: Predictive Analytics Using External Data!

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Predictive Analytics Use Case: Marketing Optimization! https://www.elegantjbi.com/blog/predictive-analytics-use-case-marketing-optimization.htm https://www.elegantjbi.com/blog/predictive-analytics-use-case-marketing-optimization.htm#comments Thu, 16 May 2019 13:13:41 +0000 https://www.elegantjbi.com/blog/?p=6035 Continued]]> Predictive Analytics Use Case: Marketing Optimization!Using marketing and advertising dollars to target the general market is not a wise use of funding. Every business today is challenged to do more with less and marketing budgets are no exception. In order to reach the right target and convert prospects into sales, a business must create and distribute messaging to the right target audience, in the right way, at the right tie.

Without a fundamental understanding of how a customer makes a buying decision and how customers choose a product or service, the marketing and advertising process is based only on guesswork, and that guesswork is bound to result in lost revenue and poor optimization of the marketing budget.

Augmented analytics supports the identification of a target audience and identifies buying behaviors. It helps the business to determine what type of marketing and marketing channels will be the most effective to reach the target customer. This insight allows the business to customize targets for a region or market and identify appropriate messaging and marketing vehicles for seasonality and other factors.

Predictive analytics can help a business develop a profile for a target customer and segment, combine external and internal data like macroeconomics and competitive data, and define marketing and advertising messages and techniques for each segment to optimize the marketing budget and improve the competitive advantage.

Use Assisted Predictive Modeling and Predictive Analytics to gain critical insight into target customers and define the marketing and channels best suited for those targets.

Learn More: Marketing Optimization

View the Marketing Optimization Use Case Slide Share

We invite you to explore other use cases and discover how predictive analytics, and assisted predictive modeling can help your business to achieve its goals.

Learn more about Augmented Analytics, its uses, techniques and applications.

Contact Us today to discover the benefits of predictive analytics and marketing optimization.

Original Post: Predictive Analytics Use Case: Marketing Optimization!

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Predictive Analytics Use Case: Loan Approval! https://www.elegantjbi.com/blog/predictive-analytics-use-case-loan-approval.htm https://www.elegantjbi.com/blog/predictive-analytics-use-case-loan-approval.htm#comments Thu, 16 May 2019 10:11:49 +0000 https://www.elegantjbi.com/blog/?p=6032 Continued]]> Predictive Analytics Use Case: Loan Approval!Perhaps the greatest risk to a lending organization is that presented by loan applicants who are unprepared to fulfill the long-term obligation of paying off a loan. Banks and other lenders spend a lot of time and energy trying to identify the perfect profile for a borrower so they can make the right decision and avoid costly loan defaults and the expense and resources required to take legal action.

Making the right decision and choosing the perfect customers is crucial. To achieve consistent results, the business must have a dependable process for attracting the right clientele and reviewing, approving and managing loans.

Predictive analytics can be a crucial piece of the puzzle in supporting the loan approval process and monitoring and managing loans throughout the life cycle of the contract.

Augmented analytics helps the business to refine these processes using algorithms and analytical techniques so the company can see the big picture and target the right demographics with marketing messages. These techniques also help the business to identify common risk factors across multiple variables and anticipate loan defaults or issues long before the customer defaults on the loan. Advanced analytics solutions are perfect for credit unions, banks, insurance businesses, auto and real estate loan processes.

When applied to the loan approval process, predictive analytics can improve productivity and optimize resources and it can decrease loan defaults and help the business to capitalize on available funds.

Use Assisted Predictive Modeling to define the perfect loan applicant profile and to monitor and manage existing loans to anticipate and mitigate loan defaults.

Learn More: Loan Approval

View the Loan Approval Use Case Slide Share

We invite you to explore other use cases and discover how predictive analytics, and assisted predictive modeling can help your business to achieve its goals.

Learn more about Augmented Analytics, its uses, techniques and applications.

Contact Us today to explore the benefits of predictive analytics and find out how your business can optimize the loan approval process.

Original Post: Predictive Analytics Use Case: Loan Approval!

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Predictive Analytics Use Case: Human Resource Attrition! https://www.elegantjbi.com/blog/predictive-analytics-use-case-human-resource-attrition.htm https://www.elegantjbi.com/blog/predictive-analytics-use-case-human-resource-attrition.htm#comments Thu, 16 May 2019 07:52:23 +0000 https://www.elegantjbi.com/blog/?p=6029 Continued]]> Predictive Analytics Use Case: Human Resource Attrition!You probably know how much it costs to recruit and hire a team member but, do you know how long that team member is likely to stay in your employ and what factors will cause them to stay with the company or seek greener pastures? If you can’t anticipate the need for resources, you are likely to be short-handed at the wrong time, or to experience frequent turnover that will significantly impact your business success and your ability to get the job done.

When a team member leaves the company, the business must find, hire and train a new individual and, allow for ample transition time to get that new person up to speed. In the interim, there is loss of productivity and the risk of crucial mistakes.

Advanced analytics can help you to identify areas of dissatisfaction and understand the activities, processes, benefits, training and the work environment that encourages productivity and ensures employee satisfaction. Augmented analytics can also identify the need for training, the types of jobs that are most at risk of frequent turnover, the key skills for a particular position and the probability of advancement.

With predictive analytics the business can develop a clear picture of the ideal profile that will result in a good fit for a position and the types of training and mentoring required to assure that the team member will add the most value to the organization. These tools can help the organization to improve the recruiting and hiring process, and ensure that the enterprise mitigates attrition and increases employee loyalty and job satisfaction.

You can use Assisted Predictive Modeling to create a clear picture, and to develop effective benefits and training packages and attract and retain the right team members.

Learn More: Human Resource Attrition

View the Human Resource Attrition Use Case Slide Share

We invite you to explore other use cases and discover how predictive analytics, and assisted predictive modeling can help your business to achieve its goals.

Learn more about Augmented Analytics, its uses, techniques and applications.

Contact Us today to find out how your business can leverage predictive analytics to plan and manage resources.

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Predictive Analytics Use Case: Customer Targeting! https://www.elegantjbi.com/blog/predictive-analytics-use-case-customer-targeting.htm https://www.elegantjbi.com/blog/predictive-analytics-use-case-customer-targeting.htm#comments Wed, 15 May 2019 12:25:01 +0000 https://www.elegantjbi.com/blog/?p=6023 Continued]]> Predictive Analytics Use Case: Customer Targeting!Even with an unlimited budget, it would not be a wise decision for a business to target every customer in the market. If an enterprise is to succeed, it must understand its products and services and it must know the profile of the customer it is targeting.

If an organization is going to successfully target customers and make optimal use of its marketing budget, it must understand customer buying behavior, and categorize its products and services to target the right customer segments and preferences. If you can identify the reasons a certain customer buys a product or service, you can create products, marketing messages, and advertising to target those customers that are most likely to buy and to return and buy your products again.

Augmented analytics provides easy-to-use tools so business users can identify buying frequency, and understand the variables that influence a customer and cause them to buy a product or service. The business can develop a clear picture of the demographics (age, income, interests, geography, gender and education) that inform product and service purchases and the most effective marketing messages for a particular customer segment.

Predictive analytics can identify a trend or pattern so that the organization can anticipate that the market, or buying behavior is changing. Whether your business is real estate, retail, auto sales, hospitality, or entertainment, understanding your customer and why and when they buy is imperative and creating a clear profile of your target customer will allow you to directly, and effectively address their needs.

You can use Assisted Predictive Modeling and Predictive Analytics to paint a clear picture of your customers and to optimize resources, marketing budgets and inventory.

Learn More: Customer Targeting 

View the Customer Targeting Use Case Slide Share

We invite you to explore other use cases and discover how predictive analytics, and assisted predictive modeling can help your business to achieve its goals.

Learn more about Augmented Analytics, its uses, techniques and applications.

Contact Us today to find out how predictive analytics can help your industry or business function to improve results and plan and forecast more effectively and accurately.

Original Post: Predictive Analytics Use Case: Customer Targeting!

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Predictive Analytics Use Case: Maintenance Management! https://www.elegantjbi.com/blog/predictive-analytics-use-case-maintenance-management.htm https://www.elegantjbi.com/blog/predictive-analytics-use-case-maintenance-management.htm#comments Wed, 15 May 2019 09:47:13 +0000 https://www.elegantjbi.com/blog/?p=6019 Continued]]> Predictive Analytics Use Case: Maintenance Management!Businesses do not want to be surprised by downtime, equipment failure or the cost of unanticipated equipment replacement. If the enterprise can anticipate the need for equipment maintenance and downtime, it can plan more effectively for product output, resource requirements and expenses.

For a business that must purchase, maintain and replace equipment, it is crucial to anticipate resource requirements and plan for related expenses for hours on the job as well as the training required to maintain existing and new equipment.

With predictive analytics, the business can leverage data from various systems and software to take the guesswork out of production equipment maintenance and anticipate routine maintenance. The enterprise can plan to order parts and schedule downtime for equipment. For a business that places and maintains equipment in a customer location, this type of planning is just as crucial. The enterprise does not want to risk its reputation with unanticipated downtime or the loss of revenue for its customers.

Augmented analytics tools can be very beneficial for planning in the manufacturing and production environment, in utility and infrastructure businesses and in service industries. Forecasting necessary maintenance and equipment replacement and ensuring that the business is ready with resources and funding is critical and will help the business to optimize parts and inventory management, schedules and training, costs, customer satisfaction and revenue.

Your business can leverage Predictive Analytics to plan for and anticipate maintenance, investment, changes in resources and training requirements and supply chain management for parts, shipping, etc.

Learn More: Maintenance Management

We invite you to explore other use cases and discover how predictive analytics, and assisted predictive modeling can help your business to achieve its goals.

Learn more about Augmented Analytics, its uses, techniques and applications.

Contact Us today to explore the benefits of predictive analytics for maintenance management and other crucial planning and processes.

Original Post: Predictive Analytics Use Case: Maintenance Management!

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Predictive Analytics Use Case: Product and Service Cross-Selling and Upselling! https://www.elegantjbi.com/blog/predictive-analytics-use-case-product-and-service-cross-selling-and-upselling.htm https://www.elegantjbi.com/blog/predictive-analytics-use-case-product-and-service-cross-selling-and-upselling.htm#comments Wed, 15 May 2019 07:22:54 +0000 https://www.elegantjbi.com/blog/?p=6014 Continued]]> Predictive Analytics Use Case: Product and Service Cross-Selling and Upselling!If you want to make the most of your product and service portfolio, you must look for opportunities to cross-sell and upsell your clients and to bundle services to attract new clients. With the right information, business managers can leverage customer satisfaction to cross-sell and upsell products and services, and to increase revenue and brand loyalty.

Every organization needs a comprehensive understanding of why, when and how their customers buy and what makes a customer decide to try another product, switch brands or accept an offer to add a product or service to an existing purchase.

Predictive analytics and assisted predictive modeling solutions make it easy for business users to perform customer and market analysis and identify specific customer characteristics or specific products and services that will most likely result in bundled purchases, repeat purchases or purchases of products or services that specifically target their buying behaviors and decisions. If the business can market and advertise and reach out to customers to get them to make that purchasing decision at the right time and in the right way, the business is more likely to succeed.

Augmented analytics can help the enterprise to develop a better understanding of customers and their buying behavior and expand that knowledge to identify opportunities for new products and services. It can also help to develop appropriate marketing messages to target specific customer segments and demographics.

Use Predictive Analytics to test theories and hypotheses, and identify opportunities for cross-selling and upselling in your product and service portfolio.

Learn More: Product and Service Cross-Sell and Upsell

View the Product and Service Cross-Selling and Upselling Use Case Slide Share

We invite you to explore other use cases and discover how predictive analytics, and assisted predictive modeling can help your business to achieve its goals.

Learn more about Augmented Analytics, its uses, techniques and applications.

Contact Us today to find out how Predictive Analytics can help your business to capitalize on cross-selling and upselling opportunities in your market and customer base.

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Predictive Analytics Use Case: Demand Planning! https://www.elegantjbi.com/blog/predictive-analytics-use-case-demand-planning.htm https://www.elegantjbi.com/blog/predictive-analytics-use-case-demand-planning.htm#comments Tue, 14 May 2019 12:32:00 +0000 https://www.elegantjbi.com/blog/?p=6009 Continued]]> Predictive Analytics Use Case: Demand Planning!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.

Use Augmented Analytics and Assisted Predictive Modeling to accurately anticipate demand and optimize resources.

Learn More: Demand Planning

We invite you to explore other use cases and discover how predictive analytics, and assisted predictive modeling can help your business to achieve its goals.

Learn more about Augmented Analytics, its uses, techniques and applications.

Contact Us today to explore the benefits of Augmented Analytics and Assisted Predictive Modeling for demand planning.

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Predictive Analytics Use Case: Quality Control! https://www.elegantjbi.com/blog/predictive-analytics-use-case-quality-control.htm https://www.elegantjbi.com/blog/predictive-analytics-use-case-quality-control.htm#comments Tue, 14 May 2019 09:06:29 +0000 https://www.elegantjbi.com/blog/?p=6005 Continued]]> Predictive Analytics Use Case: Quality Control!It is easy to understand the importance of producing quality products and services and the impact of poor quality on business reputation. If your business does not have adequate quality controls in place, it will lose market share and may even expose the enterprise and its team to legal liability.

Anticipating quality issues and monitoring and managing quality is crucial to business success. Having solid processes in place will optimize resources and budgets and ensure swift and accurate execution of new product rollout, product and service delivery and the consistency and quality of the business offerings.

Businesses work hard to acquire customers and to sustain that customer base and compete in the market of choice but quality issues will negatively impact the business reputation and cause loss of revenue and erosion of the customer base.

Using advanced analytics to identify quality issues will improve production processes, protect the business against liability claims and allow the organization to more easily upgrade products, create new products and services and anticipate issues along the way. Advanced analytics and predictive analysis can be used to achieve these goals in an IT consulting business, in telecommunication, in manufacturing and in many other industries.

Your business can use Augmented Analytics and Predictive Analysis to predict quality issues, monitor and manage quality standards and improve and optimize performance.

Learn More: Quality Control

We invite you to explore other use cases and discover how predictive analytics, and assisted predictive modeling can help your business to achieve its goals.

Learn more about Augmented Analytics, its uses, techniques and applications.

Contact Us today and find out how Augmented Analytics can improve quality and decrease the incidence of issues, and improve the consistency of products and services.

Original Post: Predictive Analytics Use Case: Quality Control!

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Predictive Analytics Use Case: Fraud Mitigation! https://www.elegantjbi.com/blog/predictive-analytics-use-case-fraud-mitigation.htm https://www.elegantjbi.com/blog/predictive-analytics-use-case-fraud-mitigation.htm#comments Mon, 13 May 2019 11:49:56 +0000 https://www.elegantjbi.com/blog/?p=6001 Continued]]> Predictive Analytics Use Case: Fraud Mitigation!Fraud costs businesses millions of dollars per year, and the resources and effort required to mitigate fraud can take precious focus way from core business initiatives. But enterprises must address this critical issue, if they are to protect their interests and the interests of their partners and customers. While one may think of fraud most commonly associated with financial and banking organizations or IT functions or networks, industries like healthcare, government and public sector are also at risk. And fraud can take many forms and affect the supply chain in numerous ways.

The good news is that a business can more readily and effectively anticipate fraud by identifying the signs and signals that indicate a problem and creating strategies and processes to monitor and manage risk so that the incidence of fraud is significantly decreased.

An enterprise can leverage predictive analytics to identify the most likely areas and actors that will be involved in fraudulent activities and by developing fraud detection models, the enterprise can reduce the cost and the negative impact to the business reputation and to the bottom line. Businesses that are proactive in identifying these risks can better optimize resources and respond to changing trends and patterns.

With the right tools, algorithms and assisted predictive modeling techniques, your business can create fraud behavior models and monitor ongoing activity to get ahead of the problem and to identify critical gaps or holes in processes, systems and activities.

Use Predictive Modeling and Predictive Analytics to create a profile of fraud risk and to manage and monitor fraud.

Learn More: Fraud Mitigation

We invite you to explore other use cases and discover how predictive analytics, and assisted predictive modeling can help your business to achieve its goals.

Learn more about Augmented Analytics, its uses, techniques and applications.

Contact Us today and find out how Predictive Analytics can increase the accuracy of predictions and improve risk avoidance and fraud monitoring processes.

Original Post: Predictive Analytics Use Case: Fraud Mitigation!

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Predictive Analytics Use Case: Customer Churn Analysis! https://www.elegantjbi.com/blog/predictive-analytics-use-case-customer-churn-analysis.htm https://www.elegantjbi.com/blog/predictive-analytics-use-case-customer-churn-analysis.htm#comments Mon, 13 May 2019 09:03:35 +0000 https://www.elegantjbi.com/blog/?p=5998 Continued]]> Predictive Analytics Use Case: Customer Churn Analysis!Every business understands the importance of acquiring and sustaining its customer base. In a competitive, global economy, even the smaller local businesses can lose customers to competitors on the other side of the world. The cost of acquiring a new customer includes marketing and advertising, resources and personnel, customer support, search engine optimization and more. The cost to sustain a customer relationship is equally important and encompasses customer care, online and personal support, the cost of introducing new products and services, the cost of targeting specific customers with discount, offers and outreach designed to keep the customer engaged and interested.

Customer churn is the bane of business success and, while you may think that losing customers is inevitable, you can mitigate this problem by understanding which customers are likely to leave and go to the competition, and where you may have reached ‘saturation’ with products and services.

Customers don’t usually tell you that they are leaving or, more importantly, they don’t tell you WHY they are leaving. They simply close their account or stop visiting your site. Self-serve, assisted predictive modeling and predictive analytics can help you to identify the customers who are most likely to leave and allow you to develop processes and strategies, as well as new marketing, new products and services, and other strategies that will improve customer retention and reduce customer churn.

Predictive Analytics can help you identify those customers who are most likely to leave and improve marketing messaging and marketing campaigns to get to the issues your customers have and to create new services and products that will help you retain a customer.

Use Predictive Analytics to identify at risk customers and issues that will impact customer churn and customer retention.

Learn More: Customer Churn

View the Online Customer Churn Use Case Slide Share

We invite you to explore other use cases and discover how predictive analytics, and assisted predictive modeling can help your business to achieve its goals.

Learn more about Augmented Analytics, its uses, techniques and applications.

Contact Us today to find out how your business users can leverage Predictive Analytics to increase the accuracy of predictive analysis and forecasting.

Original Post: Predictive Analytics Use Case: Customer Churn Analysis!

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Elegant MicroWeb (Smarten SSDP Solution) Named as a Representative Vendors in Gartner April 2019 ‘Market Guide for Data Preparation Tools’ https://www.elegantjbi.com/blog/elegantmicroweb-smarten-ssdp-solution-named-as-a-representative-vendors-in-gartner-april-2019-market-guide-for-data-preparation-tools.htm https://www.elegantjbi.com/blog/elegantmicroweb-smarten-ssdp-solution-named-as-a-representative-vendors-in-gartner-april-2019-market-guide-for-data-preparation-tools.htm#comments Fri, 10 May 2019 09:27:36 +0000 https://www.elegantjbi.com/blog/?p=5994 Continued]]> Elegant MicroWeb (Smarten SSDP Solution) Named as a Representative Vendors in Gartner April 2019 'Market Guide for Data Preparation Tools'Elegant MicroWeb is included in the Gartner Market Guide for Data Preparation Tools, published on April 17, 2019. The Elegant MicroWeb (Smarten SSDP solution) is listed as a Representative Vendor in the Gartner Market Guide for Data Preparation.

The CEO of Elegant MicroWeb, Smarten, Kartik Patel says, “We are truly honored to be recognized by Gartner. We believe that our focus on self-serve data preparation and our product roadmap assures the continued evolution and advancement of data democratization, and business user data literacy. Smarten offers numerous Advanced Analytics Benefits to an organization, as well as providing a solid foundation for fact-driven business analysis and decisions that will result in a positive outcome for the businesses using these tools.”

The Smarten Self-Serve Data Preparation (SSDP) Tool is a crucial tool for business users who want and need to make sense of augmented analytics and a central factor in advancing business empowerment and accountability for all team members. The Smarten SSDP solution allows users to transform, shape, reduce, combine, explore, clean, sample and aggregate data, without the need for SQL skills, ETL or other programming language.

“Self-Service Data Prep empowers every business user,” says Patel. “These tools allow business users with average skills to prepare data for analysis and enable data extraction transformation and loading, so users can quickly move data without waiting for the assistance of a data scientist or an IT team member.”

Smarten SSDP is part of the innovative Smarten suite that includes Smart Data VisualizationAssisted Predictive Modeling and a roadmap to Natural Language Processing (NLP) including machine learning and other sophisticated features and functionality.

More information on the data preparation tools market is available in the Gartner report: Market Guide for Data Preparation Tools, Published: 17 April 2019 ID: G00386354, Analyst(s): Ehtisham Zaidi, Sharat Menon

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.

Original Post: Elegant MicroWeb (Smarten SSDP Solution) Named as a Representative Vendors in Gartner April 2019 ‘Market Guide for Data Preparation Tools’ 

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SME Business Intelligence Solution! https://www.elegantjbi.com/blog/2019/05/08/may-08-2019/small-medium-business-bi-tools.htm https://www.elegantjbi.com/blog/2019/05/08/may-08-2019/small-medium-business-bi-tools.htm#comments Wed, 08 May 2019 08:33:51 +0000 https://www.elegantjbi.com/blog/?p=5991 Continued]]> BI Tools for Small and Medium Sized Business!Small and Medium Sized Businesses CAN Enjoy the Benefits of BI Tools!

I recently attended a business intelligence conference and I spoke with a small business owner who attended the conference in hopes of finding out how to leverage business intelligence to sustain growth and address competition while juggling other responsibilities and managing a small business budget.

“I have tried to figure out how to make this happen,” she said. “But, I honestly think these solutions are too complicated and too expensive for us.”

Happily, I was able to point her in the right direction! I talk to small and medium sized businesses all the time and I tell them that just because a business is small, that doesn’t’ mean they are exempt from the problems of larger organizations. Small businesses have the same need to monitor and manage data and to understand results and plan for the future. No matter the size of the organization, no business manager wants to spend money needlessly and no business wants to operate in an environment of confusion or guess at results and the potential for future success.

A small business owner knows the company and product or service very well, but she or he may not have the time, money or skill to perform complex analysis and see hidden patterns or trends or identify the frustratingly elusive root cause of a problem. BI Tools that are designed for the average skills of a business user and BI tools that are mobile and can be used on any device, will give small and medium (SME) sized business owners the ability to quickly and easily leverage sophisticated Business Intelligence Features with little or no training and to use the information gleaned from these tools to plan, make decisions, solve problems and capitalize on business opportunities.

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

If you are looking for a cost-effective, easy-to-use, Mobile BI Solutions, you can start here: Business Intelligence Solution

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Augmented Analytics is Key to User Adoption! https://www.elegantjbi.com/blog/2019/05/07/may-07-2019/augmented-analytics-for-all.htm https://www.elegantjbi.com/blog/2019/05/07/may-07-2019/augmented-analytics-for-all.htm#comments Tue, 07 May 2019 06:52:22 +0000 https://www.elegantjbi.com/blog/?p=5988 Continued]]> Advanced Analytics for Every Business User in Your Biz!Augmented Analytics: The Advanced Analytics Solution to Ensure User Adoption!

The concept of advanced analytics can seem out of reach for many businesses. Business execs and managers often picture a team of data scientists and IT staff busily analyzing data and, included in that picture, they imagine the bags full of cash required to fund that team of professionals.

The reality is that every business needs Advanced Analytics AND that reality is not out of reach for any organization. You don’t need a team of data scientists and IT staff. You DO need advanced analytics tools that include augmented analytics. These tools make it possible for business users with average skills to leverage sophisticated features, algorithms and analytical techniques to make business decisions and to accurately plan, forecast and manage the business.

There is no reason to limit access to data preparation software or advanced predictive analytics to data scientists, analysts and IT staff. The evolution of Augmented Analytics provides guidance and recommendations to help users decide how to visualize data, how best to prepare data and what predictive analytical techniques to use to achieve the best, clearest, results.

If you want to encourage the adoption of advanced analytics tools, a solution with augmented analytics capability is the best way to increase Data Literacy and engender data democratization within your enterprise. Users can easily share data and create innovative views of data so that other business users will learn from them and the organization can encourage power users and data popularity.

If you want to enable the adoption of advanced analytics and improve the value of every team member within your organization, you should select an augmented analytics tool that is designed for use by all business users. Augmented Analytics Benefits

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KPI Dashboard Software Manages for Results! https://www.elegantjbi.com/blog/kpi-dashboard-will-show-users-the-path-forward.htm https://www.elegantjbi.com/blog/kpi-dashboard-will-show-users-the-path-forward.htm#comments Fri, 03 May 2019 11:33:59 +0000 https://www.elegantjbi.com/blog/?p=5985 Continued]]> A KPI Dashboard Will Show Users the Path Forward!KPI Software Should be Part of Your Suite of BI Tools!

There is no doubt that business intelligence and analytics should include key performance indicators (KPIs). Business intelligence tools must include KPI software and an intuitive KPI dashboard that is easy for business users to adopt and to use to monitor, manage and understand business metrics, actual vs. planned results and other data.

Once a business has established appropriate, objective, Key Performance Indicators, it must cascade those metrics to all team members in the organization so that every person is working with the same information and has a comprehensive understanding of what ‘success’ means to this enterprise.

With easy-to-use Dashboard Software, users can review KPI examples, define KPI with a powerful expression engine and lets them set polarity, frequency, and threshold levels using a browser based interface. Users can establish and monitor KPIs at the individual, team, department, division and company level.

KPI Analytics provide interactive options to change frequencies, dimension break downs and drill down to further analyze trends, and reasons for poor performance or for positive results.

A KPI Dashboard that integrates with other business intelligence solution features is a crucial piece of the foundation and will help the business to build a complete and concise picture of results, activities and the factors affecting success.

If you want to avoid guesswork and manage your business using clear, concise KPIs and Metrics, Contact Us today to get started.

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Advanced Analytics Platform for Business Users! https://www.elegantjbi.com/blog/augmented-analytics-platforms-can-encourage-business-growth.htm https://www.elegantjbi.com/blog/augmented-analytics-platforms-can-encourage-business-growth.htm#comments Thu, 02 May 2019 09:10:23 +0000 https://www.elegantjbi.com/blog/?p=5981 Continued]]> Augmented Analytics Platforms Can Encourage Business Growth!Advanced Analytics for Business Users is Key to Business Success!

Most businesses are choosing advanced analytics for business users and there is a good reason for that! Even the largest businesses rarely have an unlimited budget for data scientists and the trend toward data democratization has revealed the value in enabling business users with a data and analytics platform that is easy and mobile and can provide clear, concise results for planning, issue resolution and management of results at every level within the organization.

An Advanced Analytics Platform should include self-serve data preparation, smart data visualization and assisted predictive modeling with natural language processing and machine learning that will support users with simple search analytics.

An Augmented Analytics Vendor provides tools that make it easy for the average business user to develop reports, analyze data and share that data with confidence. Predictive Analytics for Business Users allows team members to forecast and predict and to create and test hypotheses before introducing changes into the market or the organization.

Contact Us to find out how an Augmented Analytics Platform can provide the foundation for your business growth and for confident business decisions.

Original Post: Augmented Analytics Platforms Can Encourage Business Growth!

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A Self-Serve BI Solution Adds Value! https://www.elegantjbi.com/blog/understand-the-value-of-bi-tools.htm https://www.elegantjbi.com/blog/understand-the-value-of-bi-tools.htm#comments Mon, 29 Apr 2019 13:18:45 +0000 https://www.elegantjbi.com/blog/?p=5978 Continued]]> Understand the Value of BI Tools!BI Software Adds Value to Every Organization!

In spite of the fact that trade publications and business conferences have been talking about business intelligence and BI software for years, there are still some business executives and business owners that do not understand how business intelligence tools can help the organization achieve its goals and stay ahead of the competition.

So, what is business intelligence and what are the business benefits? Business Intelligence is, generally, derived from the data and information that exists in the business systems and knowledge base. Using this data in an analytical way can produce ‘intelligence’ that is meant to drive changes in the business, validate a strategy, develop a competitive position, etc.

When a business chooses a Self-Serve Business Intelligence solution, any business user with average skills can leverage the BI tool to find the root cause of a problem, to identify patterns and trends, to predict and forecast, to find and leverage opportunities and to share meaningful data with other users, thereby increasing the value of every user and of the data that resides within the enterprise.

BI Analytics and business analytical tools provide rapid ROI and low total cost of ownership (TCO), so the organization can be more productive, and leverage its IT team and its analytical staff to focus on strategic issues.

If you want an easy-to-use BI Dashboard and bi reporting tools that your business users can adopt and use with minimal training and implementation time, Contact Us today.

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Business Analytics and NLP Search for Business Users! https://www.elegantjbi.com/blog/application-of-nlp-and-advanced-analytics-for-every-business.htm https://www.elegantjbi.com/blog/application-of-nlp-and-advanced-analytics-for-every-business.htm#comments Fri, 26 Apr 2019 11:08:34 +0000 https://www.elegantjbi.com/blog/?p=5975 Continued]]> Application of NLP and Advanced Analytics for Every Business!Natural Language Processing Makes Advanced Analytics Accessible to Every User!

Whether you know it or not, you are familiar with Natural Language Processing. Applications of NLP include search techniques used in Google and other popular tools. The use of natural language processing in self-serve advanced analytics solutions can mean the difference between a simple, yet sophisticated, business user tool and a tool that is only suitable for a data scientist or professional analyst.

When a user leverages Natural Language Processing applications, the search itself can be entered using normal language and the results will be returned using natural language as well. Search Analytics using an NLP search are far easier to use and ensure that the business user gets the information they need easily and quickly. In a business environment where every organization must democratize data and encourage data literacy to improve competitive advantage, the Business Analytics techniques and business analytics tools that are the simplest and yet provide the most sophisticated underpinning will be the tools and techniques that are dependably adopted and used by every team member.

With the right tools, your business users can leverage natural language processing algorithms to achieve their goals and increase the agility and flexibility of the organization and its competitive response.

If you would like to find out how Natural Language Processing can help your users to leverage advanced analytics tools, Contact Us today.

Original Post: Application of NLP and Advanced Analytics for Every Business!

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What is Augmented Analytics and Can it Add Value to Business Intelligence? https://www.elegantjbi.com/blog/what-is-augmented-analytics-and-can-it-add-value-to-business-intelligence.htm https://www.elegantjbi.com/blog/what-is-augmented-analytics-and-can-it-add-value-to-business-intelligence.htm#comments Wed, 24 Apr 2019 11:07:28 +0000 https://www.elegantjbi.com/blog/?p=5972 Continued]]> What is Augmented Analytics and Can it Add Value to Business Intelligence?The Merriam-Webster dictionary defines the word ‘augment’ this way: ‘to make greater, more numerous, larger or more intense’. If you are wondering how this applies to the term ‘augmented analytics’, you are not alone. Let’s take a closer look at Augmented Analytics and talk about why it has gotten so much attention in the business intelligence world.

What is Augmented Analytics?

Think of it this way: Augmented Analytics automates data insight using machine learning and natural language generation. It automates data preparation and allows for easy data sharing. By leveraging sophisticated analytics techniques and algorithms in an automated environment, these solutions allow for advanced use, manipulation and presentation of data and simplify the analytical process for the average user, so that users are presented with clear results. As platforms and solutions have matured, augmented analytics has evolved into a self-serve environment, so that business users can leverage these sophisticated tools to get answers to questions, identify problems and opportunities and share data with other users.

The augmented analytics approach provides tools for better clarity and insight into and, as this approach evolves, it continues to change and disrupt the more traditional forms of analysis.

Augmented Analytics allows organizations to integrate data from numerous data sources and to use that data to analyze and display results in a clear manner so the business can make unbiased decisions and establish objective metrics. Users can compare results against plans and forecasts. By exploring and presenting data and using Data Science Modeling Techniques and auto-suggested data displays, the organization can identify key data points and trends. Users can leverage crucial business insight to build and sustain a competitive advantage, make decisions about market and product entries and assess team and project results, financials, HR and resources, partners and suppliers, industry and government compliance, data security and other critical business factors. Augmented Analytics Tools provides clear results in context so that users can drill down to find the root cause of a problem. These techniques allow users to identify a logical direction, analyze historical results and plan for the future. This approach supports user/data interaction by removing restrictive boundaries and enabling flexibility for analysis and reporting.

How Can Augmented Analytics Add Value to Business Intelligence?

There are numerous Benefits to Augmented Analytics approach to business intelligence and, with the right self-serve analytics and data discovery tool, the average enterprise can expand these benefits and add even more value. Here are just a few of the ways in which self-serve augmented analytics can add value to business intelligence.

  • A self-serve augmented analytics solution allows analysts, data scientists and internal IT staff to focus on critical projects and to provide support for strategic issues, freeing them from focusing on the day-to-day analytical needs of the business community.
  • Augmented analytics empowers business users and provides critical information that will allow them to focus on goals, provide objective metrics and enable data sharing to advance the interests of the business.
  • Augmented Analytics provides complex, sophisticated techniques and tools in an easy-to-use interface to bring together data from disparate data sources and allow for confident, accurate decisions.
  • Augmented analytics provides immediate, objective results and improves ROI and TCO.
  • This approach to analytics ensures accurate business forecasting and predictions and provides metrics to ensure that appropriate decisions are made and that the business takes appropriate action regarding products and services, pricing, competition and other crucial business factors.
  • Simplified augmented analytics tools improve user adoption, data sharing, the advancement of data popularity, the integration of social BI within the organization and data and metrics literacy.

A July 27, 2017 Gartner Report, entitled, ‘Augmented Analytics Is the Future of Data and Analytics’ (ID G00326012) predicts that, ‘by 2020, organizations that offer users access to curated catalog of internal and external data will derive twice as much business value from analytics investments as those that do not.’

This report provides insight into the future of the analytics market and the foundation of next-generation analytics as a crucial foundation for business success.

The world of data analytics is no longer restricted to IT, data scientists and analysts. If an organization is going to be productive and successful today it must allow its business users to access easy-to-use tools with sophisticated features and functionality so that the entire team can work from the same roadmap and stay on track.

Original Post: What is Augmented Analytics and Can it Add Value to Business Intelligence?

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Data Analytics for Day-to-Day and Strategic Decisions! https://www.elegantjbi.com/blog/business-analytics-is-crucial-to-your-business.htm https://www.elegantjbi.com/blog/business-analytics-is-crucial-to-your-business.htm#comments Wed, 24 Apr 2019 07:32:46 +0000 https://www.elegantjbi.com/blog/?p=5969 Continued]]> Business Analytics is Crucial to Your Business!Data Analytics Tools Will Help You Solve Problems and Optimize Business!

If your business is looking for more insight, more targeted decisions and improved revenue and agility, data analytics is a necessary component of your strategy. If you are considering data analytics tools, it is important to consider that a data democratization initiative that will provide self-serve business intelligence tools to business users will reap more benefits than static, restrictive data analytics software that can only be used by data scientists, analysts and IT staff.

Business Analytics is critical to the success of every company today. If you are not using business analytics tools, you should know that your competitors ARE using these tools to refine their customer demographics, make pricing and product and service decisions, monitor and make decisions about training, resources, business locations and more.

Data Analytics can be used for day-to-day and strategic decisions and, if your business chooses a self-serve approach to business analytics, your business users can enjoy data democratization and you can build data literacy within the organization.

If you want to explore the potential of Data Analytics Tools, Contact Us today to get started.

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Data Analytics Software is Easy Enough for Business Users! https://www.elegantjbi.com/blog/self-serve-data-analytics-can-work-for-you.htm https://www.elegantjbi.com/blog/self-serve-data-analytics-can-work-for-you.htm#comments Thu, 18 Apr 2019 13:45:41 +0000 https://www.elegantjbi.com/blog/?p=5965 Continued]]> Self-Serve Data Analytics Can Work for You!Citizen Data Scientists are Not Born, They are Created!

Data analytics software used to be reserved for data scientists, analysts and IT staff but not today! Talk to any business colleague or pick up any technology analyst article and you will find plenty of discussion about the current use of data analytics tools and impressive predictions about the growth of this market. There is a reason for that popularity and growth! Businesses have discovered the value of business analytics and the benefit of taking the guesswork out of planning, problem solving and decision-making.

Business is moving too fast today to make the wrong decision and then have to try to catch up to the market or to miss a problem that may harm your reputation or an opportunity that may help you grow faster and stronger in your market of choice. Data Analytics is not just for data scientists! Today’s tools are designed with guidance and auto-recommendations to help business users choose the right type of data visualization, to help users leverage self-serve data preparation tools and to allow users to choose the right algorithm or analytical technique for predicting and forecasting results and choosing the right direction.

If you want to make the most of the knowledge your team possesses and transform business users into Citizen Data Scientists, you should select a self-serve Business Analytics Tools that will help you implement these tools quickly with minimal training requirements and swift, positive results.

If you would like to find out how you can successfully adopt Data Analytics Tools within your enterprise, Contact Us today.

Original Post: Self-Serve Data Analytics Can Work for You!

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A BI Solution Will Help You to Succeed! https://www.elegantjbi.com/blog/business-intelligence-tools-will-make-you-competitive.htm https://www.elegantjbi.com/blog/business-intelligence-tools-will-make-you-competitive.htm#comments Wed, 17 Apr 2019 10:26:24 +0000 https://www.elegantjbi.com/blog/?p=5962 Continued]]> Business Intelligence Tools Will Make You Competitive!What Is Business Intelligence and Why is it Important for Business?

A business might wonder how to justify the implementation and cost of business intelligence tools when, in fact, it is more difficult to justify the decision NOT to implement a BI solution. A BI solution can provide targeted, concise information with which the business and business users can make fact-based decisions, and it can provide insight into trends and patterns that will help to dictate new product and service decisions, pricing decisions, staffing and training decisions and more.

What is Business Intelligence? It is just that: intelligence about your business…and insight into the root cause of problems, the opportunities that can take your business to the next level and the hidden nuggets of information that will help you to compete in your market of choice. In a self-serve environment, BI Reporting can be leveraged by business users to share data with other users and cascade critical information to team members and to create presentations and discuss strategies and tactics to keep the business agile and on the right path.

A BI Dashboard that is easily personalized can provide a meaningful view for every business user so that they can see and use information in a way that makes sense for their role and responsibilities.

If you want to take your business to the next level with flexible Self Service BI Software, Contact Us today to engage business intelligence services.

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Tally App for Mobile Gives Users Seamless Access! https://www.elegantjbi.com/blog/tally-on-mobile-is-your-secret-weapon.htm https://www.elegantjbi.com/blog/tally-on-mobile-is-your-secret-weapon.htm#comments Tue, 16 Apr 2019 08:06:52 +0000 https://www.elegantjbi.com/blog/?p=5959 Continued]]> Tally on Mobile is Your Secret Weapon!Tally in Mobile App Increases Access and Productivity!

Tally continues to grow in popularity and it recently released new features in Tally ERP 9 to streamline data entry and uploading, allow for easier export of files and more. As this solution evolves, perhaps one of the most popular upgrades and changes has been the added mobile access to the Tally app. Tally on Mobile allows users to access important tools from the road and to work after hours from home or another location without losing productivity or data sharing capabilities.

Using Tally in Mobile provides near real-time access so users are able to capitalize on the latest information to make decisions, report, share data and analyze results. Whether your users want Tally for Android or Tally for iOS, a Tally app for mobile is suitable for your mobile device or smart phone.

Here’s the way it works: The on-premises Tally installation is connected to the Tally desktop application, and the desktop application connects to a secured cloud server to push the data at a predefined frequency. A native mobile app then communicates with the cloud server to fetch and display required data, graphs and reports and all interaction and transactions are secure.

The Tally Mobile App offers many benefits to the Tally user and the organization. Contact Us today and let us help you discover the expanded value of the Tally App for Mobile.

Original Post: Tally on Mobile is Your Secret Weapon!

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Business Intelligence Software with Cross-Tab Analysis! https://www.elegantjbi.com/blog/2019/04/12/april-12-2019/cross-tab-analysis.htm https://www.elegantjbi.com/blog/2019/04/12/april-12-2019/cross-tab-analysis.htm#comments Fri, 12 Apr 2019 08:15:22 +0000 https://www.elegantjbi.com/blog/?p=5956 Continued]]> Cross-Tab Analysis is a Powerful BI Tool!Business Intelligence Tools Should Include Cross-Tab Analysis!

When you are considering a business intelligence tool, you may not think it is important to consider whether that solution has the capacity to provide cross-tab analysis. Even though cross-tab analysis has been around awhile, it is still very relevant and, when it is paired with other great business intelligence tools, it can be a powerful feature to provide data clarity and support confident business decisions. Business intelligence software with cross-tab analysis enables a 360° view of data and a BI reporting tool that offers insight into data in a way that other tools do not.

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

Cross-tab analysis in BI Analytics 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.

If you are looking for a robust, comprehensive Business Intelligence Solution with cross-tab analytical capabilities, you can start here: Cross-Tab Deep Dive

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NLP and Clickless Analytics: The Perfect Pairing! https://www.elegantjbi.com/blog/2019/04/10/april-10-2019/natural-language-processing-clickless-analytics.htm https://www.elegantjbi.com/blog/2019/04/10/april-10-2019/natural-language-processing-clickless-analytics.htm#comments Wed, 10 Apr 2019 07:31:05 +0000 https://www.elegantjbi.com/blog/?p=5953 Continued]]> Clickless Analytics with Natural Language Processing (NLP)!Search Analytics with Natural Language Processing Makes Advanced Analytics Easy!

Whether you are a consumer or a business user, today’s technology users are savvy and they are used to having easy-to-use tools and features that make them more productive and allow them to quickly complete tasks. The same holds true for users of advanced analytics users. These users are also consumers when they are off the job and they are used to simple search technology like Google and other search methodologies that allow them to think, search and get results in a way that is fitting for normal speech and language.

This expectation has driven the integration of Natural Language Processing (NLP) as part of Advanced Analytics products so business users with average skills can leverage Search Analytics that employ machine learning, NLP and ‘clickless analytics’ to quickly perform searches and get results that will help them make business decisions and help them to better understand their data.

If you are a sales manager, you might use this NLP feature to ask your Augmented Analytics ‘which Southwestern region sales person sold the most units of tea products in September of 2018?’.

With natural language-processing-based search capability, users can avoid menus and scrolling and get right to the heart of the question (and answer). Results will be returned in natural language and displayed in an appropriate format with appropriate visualization to illustrate numbers, content or tables.

The concept of Clickless Analytics provides seamless augmented analytics, in a self-serve environment that is easy enough for every business user resulting in increased user adoption, improved data democratization, and return on investment (ROI).

If your users need a simpler, more intuitive way to perform search analytics, you can find the solution here: NLP and Clickless Analytics

Original Post: Clickless Analytics with Natural Language Processing (NLP)!

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What Are the Necessary Components of an Advanced Analytics Solution? https://www.elegantjbi.com/blog/what-are-the-necessary-components-of-an-advanced-analytics-solution.htm https://www.elegantjbi.com/blog/what-are-the-necessary-components-of-an-advanced-analytics-solution.htm#comments Tue, 02 Apr 2019 10:11:00 +0000 https://www.elegantjbi.com/blog/?p=5949 Continued]]> What Are the Necessary Components of an Advanced Analytics Solution?Business markets and competition are moving much more quickly these days and predicting, planning and forecasting is more important than ever. It is also important to ensure that every team member is a real asset to the organization and can contribute their knowledge and skill with full Insight into the effects and outcome of activities and processes and the ability to correct the course and make recommendations using clear, concise information. Advanced analytics is the logical tool to help a business optimize its investments and achieve its goals.

But, when an organization is ready to consider the implementation of an Advanced Analytics solution, it is difficult to know what it needs to ensure that it can satisfy current and future requirements and ensure user adoption. The current course of advanced analytics is taking businesses into the area of augmented analytics – tools that allow business users to leverage sophisticated algorithms and analytical techniques without the help of data scientists, analysts or IT staff.

If a business wants to assure that it has full coverage for its Advanced Analytics needs and can leverage all the benefits of advanced analytics, it should consider a solution with the following capabilities:

  • Assisted Predictive Modeling provides predictive analytics capability assisted by auto-recommendations and auto-suggestions so users can apply predictive analytics to any use case using forecasting, regression, classification, clustering and other algorithms to analyze an infinite number of use cases and address customer targets, cross-sales opportunities, pricing, risk assessment and promotional targets and buying behavior.
  • Smart Data Visualization allows users to view and analyze data to identify a problem and clarify a root cause and to interact easily with data discovery tools and analytics software to 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.
  • Self-Serve Data Preparation allows users with average skills to perform data prep and transform, shape, reduce, combine, explore, clean sample and aggregate data without advanced skills In other words business users can perform data extraction, transformation and loading (ETL) without help – ETL for business users!
  • Advanced analytics with Natural Language Processing (NLP) gives users a familiar Google-type interface to compose and enter a question using common human language, so they don’t need to scroll through menus and navigation. Clickless search analytics allow users to 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.

The augmented analytics advantages far outweigh the considerations for time and cost of implementation and the right advanced analytics tool will provide timely, cost-effective implementation and data integration to get the organization up and running quickly and efficiently.

Original Post: What Are the Necessary Components of an Advanced Analytics Solution?

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Assisted Predictive Modeling for All Users! https://www.elegantjbi.com/blog/predictive-modeling-for-every-business-user.htm https://www.elegantjbi.com/blog/predictive-modeling-for-every-business-user.htm#comments Mon, 01 Apr 2019 08:53:29 +0000 https://www.elegantjbi.com/blog/?p=5946 Continued]]> Predictive Modeling for Every Business User!Predictive Analytics Techniques That Are Easy Enough for Business Users!

There are a myriad of predictive analytics techniques and predictive modeling algorithms and you can’t expect your business users to understand and use them. If you are taking on an advanced analytics initiative and you want to leverage data democratization to cascade data analytics and data literacy throughout the organization, you will need a data modeling solution that takes the guesswork out of the process.

Business users do not need to know how Predictive Analytics works to achieve their goals. What they need are simple, sophisticated tools that help them analyze data, create reports and share data with other users without knowing the data science behind the process. Business users need Assisted Predictive Modeling that can make suggestions on which algorithms and techniques to use for a certain type of data.

These self-serve Predictive 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. 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.

Contact Us to find out how Predictive Analytics Software can help your business and your business users to plan, predict and forecast results.

Original Post: Predictive Modeling for Every Business User!

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KPI Tools and Well-Conceived KPIs = Great Metrics! https://www.elegantjbi.com/blog/choose-the-right-kpi-software-and-the-right-kpis.htm https://www.elegantjbi.com/blog/choose-the-right-kpi-software-and-the-right-kpis.htm#comments Wed, 27 Mar 2019 08:16:55 +0000 https://www.elegantjbi.com/blog/?p=5942 Continued]]> Choose the Right KPI Software and the Right KPIs!Combine Flexible, Intuitive KPI Tools with Appropriately Targeted KPI Metrics!

KPI Analytics is important to every company. Key performance indicators, or KPIs, help a business to monitor and measure business success by looking at specific factors, activities, tasks and processes. Often, an industry has a standard set of KPI examples it uses that is widely accepted as measurement for success but, many times, the business has its own unique way of measuring success and, when used correctly, KPI software can help the business to identify issues and change processes or policies before the issue results in a negative impact to the bottom line.

Dashboard Software should make it easy to establish, monitor and share KPIs to ensure that the team has the right information is making decisions based on fact, rather than guesswork. A great KPI Tool can provide uniform information and metrics for every business user but, in the end, the business must establish the RIGHT KPIs to measure the RIGHT things. The enterprise must ask how each area it intends to measure impacts the company success. For example, if you want to measure the impact of your policies and processes on sales, you might look at how your staffing decisions and hours affect accessibility and availability so that customers can buy products at your store.

Remember that flexible, intuitive KPI Software that integrate with other business intelligence solution features are an important part of the puzzle when it comes to building a complete and concise picture of your business and what is driving success, what is holding you back and what opportunities you might be able to leverage. But, in the end, when it comes to KPIs, if you measure the wrong things, it will be difficult to glean any insight from your reports.

If you want expert assistance in developing KPIs, and implementing Business Intelligence and Multidimensional KPI, Contact Us.

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Advanced Analytics Tools and Visual Analytics! https://www.elegantjbi.com/blog/visual-analytics-is-important-to-advanced-analytics.htm https://www.elegantjbi.com/blog/visual-analytics-is-important-to-advanced-analytics.htm#comments Tue, 26 Mar 2019 11:31:30 +0000 https://www.elegantjbi.com/blog/?p=5939 Continued]]> Visual Analytics is Important to Advanced Analytics!The Importance of Data Visualization Cannot be Overstated!

Data visualization may not seem important, but the way you see data can provide additional insight or it can muddle the picture to the point where you will miss critical issues or opportunities. The importance of data visualization is even more evident when that data is being analyzed by business users who are not likely to see data in an analytical way and probably do not have the knowledge or skill required to change visualization techniques to accommodate a particular type of data.

But, with the right tools, Visual Analytics can tell a tale in a way that no other technique can. If you expect your business users to leverage advanced analytics tools you can provide data visualization examples or you can implement an augmented analytics solution that offers Smart Data Visualization. The best interactive data visualization provides auto-recommendations and suggestions so that users can select the best method for visualizing the data.

Data Visualization Tools enable users to identify relationships, patterns, trends and opportunities and to explore detailed data with simple drill down and drill through capabilities 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.

Contact Us today to find out how Smart Data Visualization Tools can help you and your business users to make better decisions and achieve the best results.

Original Post: Visual Analytics is Important to Advanced Analytics!

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Business Intelligence Services Can Get You Started! https://www.elegantjbi.com/blog/let-business-intelligence-consultant-help-you-integrate-bi.htm https://www.elegantjbi.com/blog/let-business-intelligence-consultant-help-you-integrate-bi.htm#comments Fri, 22 Mar 2019 11:17:50 +0000 https://www.elegantjbi.com/blog/?p=5936 Continued]]> Let a Business Intelligence Consultant Help You Integrate BI!How Can Business Intelligence Consulting Services Help My Business?

If your business wants to democratize data and provide access to business intelligence tools to satisfy the needs of every business user, you may want to engage a business intelligence consultant to help you better understand your requirements for data and systems integration and to plan a simple, straightforward implementation and training schedule that will get you where you want to go, quickly and easily.

Business Intelligence Consulting Services can provide insight into the cultural changes required to establish a foundation where business users can confidently embrace these tools and share data in a social BI environment, and where power users will emerge and IT and data analysts and scientists can re-focus their energies on strategic initiatives and areas of analytics that require 100% accuracy.

The concept of Self Service Business Intelligence is one that is changing the landscape of analytics and decision-making around the world and, if you want to do it right, you must consider the necessary changes in process, data governance and security and, most of all, in a culture where users will be empowered and held accountable for objectives and goals in a new way. This shift will improve productivity and build skills and knowledge but it must be undertaken carefully in order to achieve the results you want.

If you are considering this kind of Business Intelligence Integration, you may wish to employ business intelligence services to get your started and provide the right foundation.

Contact Us today to find out how BI Integration can change your business environment for the better.

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Proven, Rapid ROI Assures Project Funding for Augmented Analytics Projects https://www.elegantjbi.com/blog/proven-rapid-roi-assures-project-funding-for-augmented-analytics-projects.htm https://www.elegantjbi.com/blog/proven-rapid-roi-assures-project-funding-for-augmented-analytics-projects.htm#comments Tue, 19 Mar 2019 11:16:34 +0000 https://www.elegantjbi.com/blog/?p=5932 Continued]]> Proven, Rapid ROI Assures Project Funding for Augmented Analytics ProjectsAs business organizations fight for competitive advantage, funding for projects and large expenditures can fall by the wayside. In today’s competitive business market, every senior executive looks at risk, value and calculations like return on investment (ROI) and total cost of ownership (TCO) before approving a budget.

When it comes to Advanced Analytics, businesses large and small may hesitate to invest the time and effort in choosing and implementing a solution. Although Data Democratization and Data Literacy are topics of earnest discussion, the average enterprise may feel that the expense and time required will not provide enough impact to the bottom line. Nothing could be further from the truth!

The Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics, published on October 31, 2018, includes the following strategic assumptions:

By 2020, augmented analytics will be a dominant driver of new purchases of analytics and BI as well as data science and machine learning platforms, and of embedded analytics.

When a business chooses a self-serve advanced analytics solution, the benefits go beyond cost-effective, collaborative tools. With the right solution, business users can leverage features like Self-Serve Data PreparationSmart Data Visualization and Assisted Predictive Modeling to produce reports, share data and make decisions using data integrated from multiple sources in an environment that allows for auto-suggestions and recommendations.

When an advanced analytics project is brought before a budget or funding committee, it is far easier to gain approval when that project is one that will provide numerous benefits across the enterprise, e.g., business users can leverage core knowledge and skill to produce and share meaningful reports and data, and data scientists and analysts can optimize time for more strategic projects that require 100% accuracy. These are just two of the benefits provided by an augmented analytics environment.

These auto-suggestion and guided recommendation tools ensure that users are not left on their own to decide how to prepare data or what techniques to use to forecast and predict. Smart visualization allows users to see data in the right way for the type of data they are analyzing so the conclusions they draw are clear and concise.

These tools encourage adoption and create power users and an environment of creativity where users can share and learn from each other and from the data and results produced. The organization will gain valuable insight into the types of reporting and data that are helpful in making decisions. The enterprise can move from error-prone spreadsheet analysis and guesswork to uniform, flexible tools that allow for comprehensive analysis.

Augmented Analytics allows for sophisticated analytics, using algorithms and analytical techniques in an easy-to-use environment that is not intimidating and does not require advanced analytical skills so every business user will add more value and become a real asset to the organization. By combining knowledge and skill in their area of expertise with simple analytical tools, each business user can contribute to the bottom line.

Because these augmented analytics tools pay such rapid and certain dividends, funding for projects is easier to secure. By implementing these advanced analytical tools, the enterprise will achieve rapid ROI and low TCO and the organization can improve data literacy and transition business users into Citizen Data Scientists.

Original Post: Proven, Rapid ROI Assures Project Funding for Augmented Analytics Projects

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Visual Analytics Software and Predictive Analytics Made Easy! https://www.elegantjbi.com/blog/predictive-analytics-and-visual-analytics-for-business-users.htm https://www.elegantjbi.com/blog/predictive-analytics-and-visual-analytics-for-business-users.htm#comments Mon, 18 Mar 2019 08:36:32 +0000 https://www.elegantjbi.com/blog/?p=5929 Continued]]> Predictive Analytics for Business Users!Data Science and Predictive Analytics Made Simple!

Imagine a world where data science and predictive analytics tools are created for business users! That world exists today with the evolution of sophisticated, yet easy-to-use tools that include predictive analytics for business users, visual analytics software and tools, and self-serve data preparation.

These tools are supported by Natural Language Processing (NLP) and simple Search Analytics supplemented by machine learning, so business users can take advantage of complex Predictive Modeling Algorithms, smart data visualization and data prep that includes data from disparate sources, all without the skills of a professional data scientist or IT staff member.

Visual Analytics and Predictive Analytics provide a full suite of advanced analytical tools to support business users with the foundation of sophisticated and complex analytical techniques in an easy-to-use, worry free environment so users can gather, analyze and share data to forecast, plan, report and problem solve.

Contact Us if you want an Advanced Analytics Solution that will support business users and enhance business results.

Original Post: Predictive Analytics for Business Users!

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BI for Tally Provides Critical BI and Analytics! https://www.elegantjbi.com/blog/integrate-and-report-on-crucial-data-with-business-intelligence-for-tally.htm https://www.elegantjbi.com/blog/integrate-and-report-on-crucial-data-with-business-intelligence-for-tally.htm#comments Thu, 14 Mar 2019 10:14:30 +0000 https://www.elegantjbi.com/blog/?p=5926 Continued]]> Integrate and Report on Crucial Data with Business Intelligence for Tally!BI for Tally Offers Data Analysis for Business with Easy Integrated Dashboards!

If your business is struggling to adopt and embrace business intelligence and analytic, you know how difficult it can be to deal with solutions that are crucial to your business success yet difficult to integrate. The right business intelligence and analytics tools can ensure integration of critical data from all types of systems and software solutions.

If you are a Tally user, you probably love this accounting and finance related application and you know that the power of ad-hoc data mining and visualization can take your organization to the next level. Your reporting needs are always changing, and the need for ad hoc data mining and visualization is constant. Providing sophisticated, integrated Analytics for Tally is easier than ever. Your Tally users can easily adopt BI and analytics with sophisticated, easy-to-use data analysis for business.

Your business can enjoy a complete Business Intelligence for Tally, with ready-to-use, pre-built dashboards, KPI and reporting tool to monitor business parameters and performance indicators. Users can create dashboards, reports and KPIs without the assistance of a programmer and receive a snapshot view of consolidated data from Tally and various applications and spreadsheets.

Contact Us today and find out how flexible self-serve BI for Tally can change your business.

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Augmented Analytics Makes Advanced Analytics Simple! https://www.elegantjbi.com/blog/data-preparation-tools-and-advanced-analytics-for-all.htm https://www.elegantjbi.com/blog/data-preparation-tools-and-advanced-analytics-for-all.htm#comments Wed, 13 Mar 2019 10:56:47 +0000 https://www.elegantjbi.com/blog/?p=5923 Continued]]> Data Preparation Tools and Advanced Analytics for All!Augmented Analytics Tools and Data Prep Tools Make Life Easy for Business Users!

In today’s world, advanced analytics is for everyone. There is no reason to limit access to data preparation software or advanced predictive analytics to data scientists, analysts and IT staff. The evolution of augmented analytics and intelligence augmentation has created some impressive tools and solutions that allow business users with average skills to use self-serve data prep and complete data preparation using auto-recommendations and suggestions to work through the process easily and with no confusion.

Augmented Analytics Tools include Smart Data Visualization with recommendations on how best to visualize data based on data type, etc., as well as Assisted Predictive Modeling with recommendations on which techniques and algorithms to use to get the best outcome for the data a user is trying to analyze.

Data Scientists who are used to working in R scripting, can perform data preparation in R, as well, so your analysts and data scientists will never be left out! IT and data scientists can also leverage these tools to supplement other techniques and tools. Data Analysis, data blending, and data preparation tools for all!

If you would like to know more about these Advanced Analytics and Data Preparation ToolsContact Us today.

Original Post: Data Preparation Tools and Advanced Analytics for All!

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Do I Really Need a Mobile BI Solution? https://www.elegantjbi.com/blog/2019/03/11/march-11-2019/mobile-business-intelligence.htm https://www.elegantjbi.com/blog/2019/03/11/march-11-2019/mobile-business-intelligence.htm#comments Mon, 11 Mar 2019 07:49:49 +0000 https://www.elegantjbi.com/blog/?p=5919 Continued]]> Mobile BI is Key to Resource Optimization!Does My BI Solution Need to be Mobile?

How can any business today be willing to accept a BI solution that has little or no mobile capability? Not only do most businesses have staff members on the road, but most businesses have staff members who work from home at least part of the time or those who extend their working hours outside the office.

If you want to make your team members more efficient and productive; if you want to provide the tools they will need to make confident decisions and to work smarter real time BI tools are crucial. Modern BI must be Mobile BI if it is to serve the type of team environment businesses have today. Mobile business intelligence must accommodate every type of device and screen size and it must provide seamless performance.

If you want to empower your users with integrated Business Intelligence Tools and provide access to data in an interactive, personalized view; if you want to encourage data sharing, and provide the tools your team will need to identify trends and patterns, you need mobile BI. The old BI tools were difficult to use and limited or restricted to access within the office. Modern BI designed for today’s fast-paced, demanding business environment, and supports your users in the office and on the road. Our BI tools are ready to use, out of the box without restrictive licensing.

Business Intelligence Out-of-the-Box Mobile Business Intelligence support business users and the organization with personalized dashboards and reporting, elegant graphs and charts, and key performance indicators (KPIs) that display seamlessly on every type and size of device. Get true self-serve business intelligence that is truly mobile, and features responsive, adaptive UI performance to accommodate use in a desktop, tablet or smart phone environment!

If you want a dependable, seamless mobile BI environment, look no further! Mobile BI

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Citizen Data Scientists and Data Literacy! https://www.elegantjbi.com/blog/2019/03/07/march-07-2019/data-literacy-citizen-data-scientists.htm https://www.elegantjbi.com/blog/2019/03/07/march-07-2019/data-literacy-citizen-data-scientists.htm#comments Thu, 07 Mar 2019 12:39:33 +0000 https://www.elegantjbi.com/blog/?p=5916 Continued]]> Data Literacy Improves Resource Optimization!Encourage Data Literacy and Create Citizen Data Scientists!

Data literacy is a very popular idea these days. As business users adopt and embrace data and advanced analytics, features like predictive analytics for business users make it easier for a user with average skills to leverage data to make decisions and share information and, in so doing, to become more literate about data analytics.

The goal of many businesses is to transform their business users into Citizen Data Scientists who will be an even greater asset to the organization by optimizing professional knowledge and training and using data in a way that is meaningful to them in their role. Power users will help other users understand the data better and raise the general level of data literacy across the organization.

The Advantages of Augmented Analytics are too numerous to mention and the addition of Natural Language Processing (NLP) to enable users to ask questions and get information using natural language has really helped businesses to grow and to plan and forecast more efficiently and accurately Users can enjoy the benefits of simple search analytics and without advanced training and utilize auto-recommendations and suggestions to choose appropriate visualization techniques and select the right algorithms and analytical techniques to get the results they need and to produce clear, concise reports.

The evolution of these Advanced Analytics Tools has made it easier than ever to achieve and sustain a competitive advantage and to build data literacy within the organization with quick implementation and easy-to-use tools that will help you to optimize your resources and knowledge across the business.

If you want to improve the efficiency of your organization and leverage the skills and knowledge of every user by increasing data literacy and data democratization, start here: Benefits of Augmented Analytics

Original Post: Data Literacy Improves Resource Optimization!

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Simple Enterprise Reporting Software is Crucial! https://www.elegantjbi.com/blog/business-analytics-must-include-agile-enterprise-reporting.htm https://www.elegantjbi.com/blog/business-analytics-must-include-agile-enterprise-reporting.htm#comments Tue, 05 Mar 2019 10:02:57 +0000 https://www.elegantjbi.com/blog/?p=5913 Continued]]> Business Analytics Must Include Agile Enterprise Reporting!Great Data Analytics Requires a Great Enterprise Reporting Tool!

Providing ample business intelligence in clear, concise fashion is important for every business. But, if the business analytics tools are not simple enough for business users, all that sophisticated analytical data will not help your team to make confident decisions or to accurately and effectively plan.

A primary component of Self Service Business Intelligence is agile enterprise reporting software. Enterprise reporting should be flexible enough to allow the user to gather, analyze, present and share data in a way that is meaningful to their role and in a way that will provide actionable information to ensure that the business stays on track and remains competitive.

Great Business Analytics delivers web-based BI reports and enterprise reporting to everyone in your business with simple to use, practical to implement, affordable Data Analytics Tools. Users point-and-click and drag-and-drop to instantly create a report and summarize performance metrics, or operational data, all in a self service BI environment without programming or database or SQL skills. Users can automate publication and delivery of reports via email, thereby improving productivity and ensuring that information reaches the right people at the right time.

If you want Data Analytics with a great Enterprise Reporting Software, Contact Us today to get started.

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Is Advanced Analytics Right for Business Users? https://www.elegantjbi.com/blog/can-business-users-easily-adopt-data-discovery-solution.htm https://www.elegantjbi.com/blog/can-business-users-easily-adopt-data-discovery-solution.htm#comments Mon, 04 Mar 2019 12:12:11 +0000 https://www.elegantjbi.com/blog/?p=5910 Continued]]> Can Business Users Easily Adopt a Data Discovery Solution?Are Data Discovery Tools Suitable for Business User Skills?

If you want your business users to function and perform at their highest level and you want to optimize all resources, your data discovery solution must provide the guidance and ease-of-use that a business user requires to analyze and share data and make confident decisions that will improve the business bottom line.

A great data discovery solution allows business users to quickly and easily prepare and analyze data and to visualize and explore data, notate and highlight data and share data with others. Business users can use advanced predictive analytics to identify patterns and trends and better predict results. The right Smart Data Discovery tool is designed for business users with average skills can do all of this without specialized skills, knowledge of statistical analysis or support from IT or professional data scientists.

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

Advanced Analytics uses sophisticated techniques and algorithms in an automated environment to simplify the analytical process for the average business user, so users are presented with clear results to use in making decisions and analyzing problems. Users can perform data profiling, discover data lineage, perform data exploration using easy-to-use data exploration tools and easily perform data discovery and classification all without the help of a programmer.

If you would like to find out how Advanced Analytics and Data Discovery solution can help your business, Contact Us today to get started.

Original Post: Can Business Users Easily Adopt a Data Discovery Solution?

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What is Augmented Data Science and Why is it Important to My Business? https://www.elegantjbi.com/blog/what-is-augmented-data-science-and-why-is-it-important-to-my-business.htm https://www.elegantjbi.com/blog/what-is-augmented-data-science-and-why-is-it-important-to-my-business.htm#comments Thu, 28 Feb 2019 08:41:15 +0000 https://www.elegantjbi.com/blog/?p=5906 Continued]]> What is Augmented Data Science and Why is it Important to My Business?If Data Science was once the sole domain of analysts and data scientists, Augmented Data Science represents the democratized view of this domain. With Augmented Data Science, the average business user can engage with advanced analytics tools that allow for automated machine learning (AutoML) and leverage sophisticated analytical techniques and algorithms in a guided environment that uses auto-recommendations and suggestions to lead users through the complex world of data science with ease and intuitive tools.

Augmented Data Science is integrated into the average enterprise, the domain of data science proliferates as does the knowledge and understanding of analytical techniques. Citizen X roles, like the much-discussed Citizen Data ScientistAnalytics Translator, Data Translator, Citizen Integrators and Citizen Developers will emerge, cascading knowledge and leveraging power users as liaisons with IT and data science staff. The propagation of these tools throughout the enterprise will improve decisions, planning, and competitive advantage.

Augmented Analytics includes Assisted Predictive Modeling, Smart Data Visualization, Self-Serve Data Preparation, Clickless Analytics, NLP Search Analytics, Automated Machine Learning (AutoML), which enables faster, or accurate analysis across the organization, optimizes resources and improves the value of each team member. Business users can merge core business knowledge and skill with critical analysis and share, collaborate and advance ideas, innovations and issue resolution.

The popularity and availability of intuitive, guided, Advanced Analytics allows for new analytic insights. As business users adopt and become comfortable with advanced data discovery and advanced analytics tools, that no longer require the skills of IT or a data scientist. This democratization of data analysis tools frees the data scientist and IT teams to focus on core tasks and on those strategic analytical projects that require 100% accuracy and refinement. Business users can perform analysis and use this analysis on a daily basis without delay, thus increasing the return on investment, and the accuracy of decisions and supporting data.

In a report published by Gartner on October 31, 2018, and entitled ‘Augmented Analytics Is the Future of Data and Analytics’, Gartner analysts provide the following strategic assumption: ‘By 2020, automation of data science tasks will enable citizen data scientists to produce a higher volume of advanced analysis than specialized data scientists’.

Augmented data science automates and simplifies analysis with machine learning so implementation, training and adoption of these tools is rapid and successful. Users do not need the skills or knowledge of a data scientist. Instead, they can leverage the easy-to-use augmented analytics tools that provide guidance, suggestions and auto-recommendations to ensure that the data retrieved, analyzed and presented is the right data in the right format to produce clear, concise results.

To put it simply, augmented data science lends a helping hand to users and to the enterprise that wishes to streamline the analytical process and provide every team member with access to the sophisticated tools they need to produce results without delays, complication or advanced skills.

Original Post: What is Augmented Data Science and Why is it Important to My Business?

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Is There a Mobile App That Will Help Me Leverage Tally? https://www.elegantjbi.com/blog/improve-roi-and-tco-for-my-tally-solution.htm https://www.elegantjbi.com/blog/improve-roi-and-tco-for-my-tally-solution.htm#comments Tue, 26 Feb 2019 13:21:24 +0000 https://www.elegantjbi.com/blog/?p=5903 Continued]]> Can I Improve ROI and TCO for My Tally Solution?How Can I Get More From My Tally Solution?

Tally users love the accounting and finance features of the Tally solution and would love nothing more than to take that desktop application on the road. But, without mobile access, these users must do without the crucial support of the Tally solution and the data it contains.

Today, there is a Tally Mobile App and that is changing the landscape for users who are on the road, or wish to work from home. A mobile app for Tally offers a multitude of advantages for your small or medium sized business and your business users.

Organizational Advantages:

  • Your business can leverage its investment for improved ROI.
  • Your team will be more productive.
  • Your IT support professionals are ensured that data and user access will be secured.
  • Managers and team leaders have access to reporting.
  • Tally Mobile App can support multi-company data to serve the entire enterprise.
  • The Tally Mobile App ensures online and offline access to critical tools and data from the Tally systems.

These mobile Tally dashboards are designed by ElegantJ BI, a Tally ISV partner that also offers Business Intelligence for Tally. Every enterprise, small or large can leverage these cost-effective BI Tools that are easily integrated with the Tally solution and provide sophisticated, yet easy-to-use analytical features. ElegantJ BI, a Tally ISV partner, has designed the Tally Mobile Application and provides support and domain expertise for Business Intelligence for Tally and for the mobile app for Tally.

Tally Mobile App adds value and enables near real-time access to Tally data and systems. If you want more information on the mobile app for Tally, Contact Us today and let us help you discover the expanded value of your Tally solution.

Original Post: Can I Improve ROI and TCO for My Tally Solution?

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White Paper – Organizational Readiness Is Crucial to the Success of an Advanced Analytics Initiative https://www.elegantjbi.com/blog/white-paper-organizational-readiness-is-crucial-to-the-success-of-an-advanced-analytics-initiative.htm https://www.elegantjbi.com/blog/white-paper-organizational-readiness-is-crucial-to-the-success-of-an-advanced-analytics-initiative.htm#comments Thu, 21 Feb 2019 09:32:21 +0000 https://www.elegantjbi.com/blog/?p=5900 Continued]]> There are many variables to the success of an advanced analytics solution but the primary pitfalls for this type of project can be traced back to poor planning. If the organization is not ready for self-serve advanced analytics, the initiative will fail. Organizational readiness is, in fact, one of the most overlooked issues in any type of software, system or technology introduction. If the enterprise wishes to succeed and achieve its goals for self-serve advanced analytics it must have a clear vision of what it wants to accomplish. It needs to have a comprehensive understanding of its requirements (technical, infrastructure, processes, tasks, locations, team members, etc.) The enterprise also needs to assess its need for external vs. internal assistance in implementation and training.

download-whitepaper

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Data Visualization Tools Make Sense of Confusing Data! https://www.elegantjbi.com/blog/smart-data-visualization-is-important-to-advanced-analytics.htm https://www.elegantjbi.com/blog/smart-data-visualization-is-important-to-advanced-analytics.htm#comments Tue, 19 Feb 2019 14:34:47 +0000 https://www.elegantjbi.com/blog/?p=5896 Continued]]> Smart Data Visualization is Important to Advanced Analytics!What is Smart Data Visualization?

Smart data visualization is a crucial part of advanced analytics. Smart visualization allows business users to view and analyze data to identify a problem, clarify a root cause, identify a business opportunity, and to make confident decisions. Business users can interact easily with visual analytics tools to build a view that will tell a compelling story using guided visualization tools so there is no need for assistance from data scientists or delay in finding, analyzing and understanding the data. Guided data visualization recommendations are provided to the user, based on the data type, volume, dimensions, patterns and nature of data.

With Smart Data Visualization, business users can find those elusive pieces of information that will have the most impact on business results.

Data Visualization Tools 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 that allow users to personalize data displays and create meaningful views and collaboration.

Machine Learning Algorithms provides guidance to determine the data visualization types and techniques that will be the best fit for the data business users want to analyze. It allows for better understanding of data, and identifies unusual patterns in data, and achieves the best output and results.

If you would like to find out more about Smart Data Visualization and how it can support your business and users, Contact Us today to get started.

Original Post: Smart Data Visualization is Important to Advanced Analytics!

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BI Reporting is Simpler and Faster Than Ever! https://www.elegantjbi.com/blog/static-bi-reporting-tools-are-yesterdays-news.htm https://www.elegantjbi.com/blog/static-bi-reporting-tools-are-yesterdays-news.htm#comments Fri, 15 Feb 2019 12:19:41 +0000 https://www.elegantjbi.com/blog/?p=5893 Continued]]> Static BI Reporting Tools Are Yesterday’s News!Your Users Can Have Personalized BI Dashboards for True Flexibility!

If your business users are frustrated with BI solutions that are restrictive or BI reporting tools that offer only formats and static reports chosen by others who do not know their needs, you are not alone.

In an effort to streamline operations or to ensure data governance, businesses often employ methods of access to Business Intelligence that will only allow business users to see and use certain data in certain ways. But this is not the way users think, learn or share and it certainly does not provide business users with the tools they need to make decisions and to work on tasks on-the-fly.

BI Software should be flexible and BI Dashboards should be easily customized to provide meaningful views and the data a particular user needs to do his or her job.

What your users need is 100% browser-based access, and the ability to design personalized dashboards in minutes, without knowledge of any programming or SQL queries. Users can enjoy stunning visualizations, alerts for exceptions and trends, and deep dive analysis using highly interactive one-stop-shop dashboard.

Your enterprise can deliver web-based BI reports to anyone (or everyone) in your organization within minutes! Users point-and-click and drag-and-drop and to instantly create a report 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.

Contact Us today to find out how elegant, easy-to-use, flexible Business Intelligence Reporting can help you to achieve your business goals.

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Advanced Analytics to Increase Productivity! https://www.elegantjbi.com/blog/data-analytics-that-will-improve-your-bottom-line.htm https://www.elegantjbi.com/blog/data-analytics-that-will-improve-your-bottom-line.htm#comments Thu, 14 Feb 2019 12:34:04 +0000 https://www.elegantjbi.com/blog/?p=5890 Continued]]> Data Analytics That Will Improve Your Bottom Line!Can Citizen Data Scientists Support Advanced Analytical Needs?

No business, large or small, has unlimited funds and resources. In a world where data analytics is more important than ever to the business bottom line and competitive position, the typical business cannot afford to hire dozens of data scientists but it absolutely must have access to detailed, clear data analysis that will drive the bottom line and ensure success.

The domain of Business Analytics does not have to be limited to data scientists. With the right augmented data discovery tools that are suitable for business users but sophisticated enough to produce professional-level results, the organization can get what it needs without hiring teams of analysts, data scientists and IT professionals.

Self-Serve Data Analytics Software includes dynamic, cutting-edge business intelligence and data discovery tools with self-serve data preparation, smart visualization, assisted predictive modeling, and search analytics supported by Natural Language Processing. Solid foundation in which business users can become Citizen Data Scientists.

By applying core business skills to analytical tasks with guidance, recommendations and auto-suggestions from the Data Analytics Tools, business users can function at a higher level and increase their value to the organization, making decisions that support goals and objectives and sharing data and information with other business users to collaborate, increase productivity and swiftly and efficiently complete tasks.

Contact Us if you want an Advanced Analytics that will transform your business users to Citizen Data Scientists.

Original Post: Data Analytics That Will Improve Your Bottom Line!

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Out-of-the-Box Industry Specific Business Intelligence! https://www.elegantjbi.com/blog/2019/02/12/february-12-2019/out-of-the-box-industry-business-intelligence.htm https://www.elegantjbi.com/blog/2019/02/12/february-12-2019/out-of-the-box-industry-business-intelligence.htm#comments Tue, 12 Feb 2019 07:30:48 +0000 https://www.elegantjbi.com/blog/?p=5887 Continued]]> Don’t Settle! Industry Specific BI Tools Are Available Today!No Expensive Customization! Out-of-the-Box Business Analytics for YOUR Industry!

No matter how large or small your business, no matter whether your business is fifty years old or a start-up, you need business intelligence software today to maintain a competitive advantage and to establish a collaborative culture with data democratization. But your needs are unique. That is true of every business and every industry. So, how do you get what you need without expensive customization. How do you quickly and easily implement business intelligence tools with no extensive training and cost impact?

What you really need is true out-of-the-box Business Analytics that you can implement quickly and that will begin to pay dividends in rapid return on investment (ROI) and low total cost of ownership (TCO). Enjoy ready to use Business Intelligence to meet the needs of your business function and industry. Out-of-the-box BI templates include meta data definitions, dashboards, KPIs and reports, designed to fit the needs of your industry and give you a quick start. If your team or organization has specific Data Analytics needs for a specific industry, do not despair! expectations. You can get ready-to-use BI tools and solutions to jump start your business intelligence initiative and transform your business users into Citizen Data Scientists.

If your business wants to reap the benefits of fact-based decision making, data sharing and collaboration, you can get started right away with Out-of-the-Box Industry BI Tools.

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Are Analytics Translators & Citizen Data Scientists Critical? https://www.elegantjbi.com/blog/2019/02/11/february-11-2019/analytics-translator-citizen-data-scientist.htm https://www.elegantjbi.com/blog/2019/02/11/february-11-2019/analytics-translator-citizen-data-scientist.htm#comments Mon, 11 Feb 2019 12:33:29 +0000 https://www.elegantjbi.com/blog/?p=5884 Continued]]> Succeed with Citizen Data Scientists & Analytics Translators!Transform Your Culture with Analytics Translators and Citizen Data Scientists!

As business becomes more competitive, as markets get tighter, there is a need to leverage and optimize your resources to the greatest extent possible. Using the knowledge and skill of each individual on your team and allowing these skills to inform business decisions and business analysis is key. As businesses democratize data and look for ways to improve collaboration and ensure that information makes it to everyone who needs it, a new business role has emerged.

This role is known as an ‘Analytics Translator’. By combining domain, organizational and industry skills with self-serve analytical tools, the Analytics Translator can help the enterprise to achieve low total cost of ownership (TCO) and rapid return on investment (ROI) for its Advanced Analytics initiatives and can encourage and nurture data democratization and optimal analytical business results within the organization. Analytics Translators bridge the gap between IT, data scientists and business users, and move initiatives forward by acting as a liaison and topic expert to help the organization focus on the right things to achieve its goals.

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

The importance of the Analytics Translator and the Citizen Data Scientist is undeniable to the average enterprise. Acting as liaisons between the business user population and IT, and enhancing and leveraging analytical skills combined with crucial core business knowledge, these roles and individuals can connect, translate and analyze issues, problems and opportunities and ensure that critical information is not lost or misunderstood, while minimizing the frustration and delay within the organization. By establishing and optimizing these resources, the organization can make the most out of its data and its team members.

Explore the possibilities and transform your culture to take advantage of Augmented Analytics with Analytics Translators and Citizen Data Scientists.

Original Post: Succeed with Citizen Data Scientists & Analytics Translators!

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Can My Business Achieve Optimal Analytics Without Hiring Dozens of Data Scientists? https://www.elegantjbi.com/blog/can-my-business-achieve-optimal-analytics-without-hiring-dozens-data-scientists.htm https://www.elegantjbi.com/blog/can-my-business-achieve-optimal-analytics-without-hiring-dozens-data-scientists.htm#comments Thu, 07 Feb 2019 10:38:47 +0000 https://www.elegantjbi.com/blog/?p=5880 Continued]]> Can My Business Achieve Optimal Analytics Without Hiring Dozens of Data Scientists?As the need for advanced analytics increases in organizations, enterprises large and small struggle to find and sustain the professional resources they need to meet their requirements for data, analysis and strategic direction.

In some businesses, Data Scientists, professional analysts and IT staff are often buried under requests for analysis and data and, as a result, these teams are unable to focus on strategic issues and on crucial questions that require 100% accuracy to drive the direction of the business.

For other businesses, the issue is more pressing. When a company cannot afford to hire data scientists or analysts because of budgets and financial constraints, the problem is clear. There is a need for Advanced Analytics but there is no funding to hire the required resources.

The Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics, published on October 31, 2018, includes the following strategic assumptions:

  • By 2025, a scarcity of data scientists will no longer hinder the adoption of data science and machine learning in organizations.
  • By 2020, automation of data science tasks will enable citizen data scientists to produce a higher volume of advanced analysis than specialized data scientists.

In this rapidly changing, increasingly competitive business landscape, the wise enterprise will focus, not on adding dozens of data scientists, but on capitalizing on the time and skills of those data scientists and analysts by giving business users the ability to tools they need to make the day-to-day decisions and to produce data-driven analytics that are accurate and timely without the assistance of a data scientist.

As businesses incorporate self-serve advanced analytics into their technology landscape and business users adopt these tools and begin to share and learn from Data Analysis, the business can transition to a more balanced environment that allows data scientists and analysts the time and focus to perform critical activities.

Augmented AnalyticsAssisted Predictive ModelingSmart Data VisualizationSelf-Serve Data Preparation and Search Analytics are designed to help the average business user with auto-suggestions and recommendations on how to prepare and view data to achieve the best outcomes and make analysis easy and clear.

When business users can transition to Citizen Data Scientists, the organization will enjoy numerous benefits, including:

Business Users:

  • Support for day-to-day business decisions
  • Insight, perspective and analysis
  • Quick hypothesis and prototyping
  • Improved agility for business development
  • Timely and accurate decision-making
  • Emergence of power users and data popularity
  • Transformation to citizen data scientists

Data Scientists:

  • Reduction in day-to-day requests
  • Ability to focus on strategic projects
  • Focus on projects that require 100% accuracy
  • Ability to achieve mature modeling goals

Original Post: Can My Business Achieve Optimal Analytics Without Hiring Dozens of Data Scientists?

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Is Self-Serve BI Analytics Necessary for Business Success? https://www.elegantjbi.com/blog/give-business-users-bi-analytics-and-watch-what-happens.htm https://www.elegantjbi.com/blog/give-business-users-bi-analytics-and-watch-what-happens.htm#comments Tue, 05 Feb 2019 12:34:35 +0000 https://www.elegantjbi.com/blog/?p=5877 Continued]]> Give Business Users BI Analytics and Watch What Happens!BI Dashboards Can Make Your Users More Productive!

BI dashboard is no longer the sole domain of a business intelligence analyst or data scientist. When a business implements a mobile, self-serve BI tool, it ensures that its business users and team members will have access to critical analytical tools in the office and on the road.

Users can share business intelligence and receive reports and alerts, dive deep into data to identify issues before they become problems and identify business opportunities, testing new pricing strategies and considering new locations, customer demographics, key performance indicators (KPIs), and the success of marketing and advertising campaigns – just to name a few topics. BI Analytics is based on complex analytical techniques and algorithms but it need not be difficult to use.

With the advent of easy-to-use systems and a flood of online, integrated data sources, business users are accustomed to getting detailed information and completing tasks easily so they can get on with the other important aspects of their day. When it comes to business applications, these users will bring their experience as consumers into the workplace and demand ease-of-use, intuitive analytical tools and smart data visualization tools that make their analysis clear and concise. Tools like self-serve data preparation and assisted predictive analysis provide guidance, recommendations and auto-suggestions so users do not have to spend time wondering if they are using the right techniques to get the best outcome.

If your business is like most, your market is changing rapidly and your users do not have the time to deliver report and analytical requirements to IT or to an analyst and wait days or weeks for reports to be produced, only to discover that they forgot a critical parameter or that the information does not include data from a crucial dataset.

Allowing your business users to apply their own core business knowledge and skill to Data Analytics and to use this Business Intelligence on a daily basis provides numerous benefits to the team member and to the business.

Contact Us today and find out how self-serve Advanced Data Discovery can help your users and your business.

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Clickless Analytics: Search Analytics That is Easy and Fast! https://www.elegantjbi.com/blog/advanced-analytics-with-natural-language-processing-nlp.htm https://www.elegantjbi.com/blog/advanced-analytics-with-natural-language-processing-nlp.htm#comments Tue, 05 Feb 2019 10:20:22 +0000 https://www.elegantjbi.com/blog/?p=5874 Continued]]> Advanced Analytics with Natural Language Processing (NLP)!Natural Language Processing (NLP) and Clickless Analytics: Advanced Analytics for All!

Natural Language Processing (NLP) takes the shackles off business users and provides advanced search analytics that is as easy as using a search engine. When advanced analytics incorporates natural language processing, business users can formulate questions and receive answers in a way that mirrors human language and writing. They do not need code or specific formats. They can just enter a question and receive an answer.

Users may want to leverage Advanced Analytics to find out which region sold the most units of a particular product last quarter, or they may want to find out how many units of a certain product are available in a certain warehouse, or which suppliers delivered products in the shortest time from order to delivery. Those are just some of the questions a business user might ask. Natural language search analytics can be used in advanced analytics to uncover valuable nuggets of information in the financial arena, in sales, marketing, HR, IT, manufacturing, purchasing, payroll and every other aspect of the organization.

Natural Language Processing search analytics 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. With natural language-processing-based search capability, users do not need to scroll through menus and navigation.

Clickless Analytics enhances this process further by providing simplified search analytics with seamless Augmented Analytics so users can work through searches and produce results with guidance, auto-recommendations and suggestions in an environment that uses machine learning and natural language processing (NLP) so the process is simple, swift and worry-free. Users work in a self-serve environment that is easy enough for every team member and will result in increased user adoption, improved data democratization, and return on investment (ROI).

If you would like to know more about Clickless AnalyticsContact Us today.

Original Post: Advanced Analytics with Natural Language Processing (NLP)!

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Are Business Analytical Tools Elite Applications? https://www.elegantjbi.com/blog/can-business-analytics-tools-work-for-business-users.htm https://www.elegantjbi.com/blog/can-business-analytics-tools-work-for-business-users.htm#comments Mon, 04 Feb 2019 12:12:50 +0000 https://www.elegantjbi.com/blog/?p=5871 Continued]]> Can Business Analytics Tools Work for Business Users?Can Business Intelligence and Analytics Truly Work for Business Users?

Business intelligence and analytics has changed drastically over the past five years. Data analysis for business is more democratic today and that is good for the organization. By extending access throughout the organization, the enterprise can provide a solid foundation for confident decision-making. Business users can have access to sophisticated business intelligence software and use business analytical tools without the advanced training of a data scientist, an analyst or an IT professional.

As the self-serve Business Intelligence Software evolves, social BI will increase and, with it, collaboration, data sharing, and better, faster, more dependable data analytics will ensure that the organization can find the root cause of issues, test theories and hypotheses, visualize data in a way that clearly illustrates results and assure user adoption across the enterprise.

These intuitive Business Intelligence Tools are suitable for every industry and provide out-of-the-box functionality and features for all types of businesses and industries including government and public sector, so return on investment (ROI) is rapid and total cost of ownership (TCO) is low. If your organization has not undertaken a data democratization initiative with self-serve business intelligence tools, it is not optimizing its time or its resources.

If you want BI Tools that will work for your industry or business right out of the box, Contact Us today to get started.

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What is Self-Service Data Preparation? https://www.elegantjbi.com/blog/self-serve-data-prep-is-key-to-data-democratization.htm https://www.elegantjbi.com/blog/self-serve-data-prep-is-key-to-data-democratization.htm#comments Mon, 04 Feb 2019 11:29:13 +0000 https://www.elegantjbi.com/blog/?p=5868 Continued]]> Self-Serve Data Prep is Key to Data Democratization!Data Literacy and Self-Serve Data Prep Encourage Citizen Data Scientists!

In years past, data preparation was the domain of IT professionals and data scientists. In order to prepare data for analysis, one had to find, gather, and prepare the data and that preparation included cleaning, combining, reduction and shaping of the data.

For the average manager, executive or business user, this complex process meant that they could not receive analysis or reports in a timely manner and that results were often difficult to interpret.

Self-Serve Data Preparation is a process by which business users can view data integrated from disparate sources and easily prepare that data for analysis with ease and clarity. Self-serve data preparation is a crucial piece of the puzzle for business users who want and need to make sense of data.

Self Service Data Preparation allows business users with average skills to perform data preparation (AKA data extraction, transformation and loading or ET). These easy-to-use tools allow business users to transform, shape, reduce, combine, explore, clean, sample and aggregate data, without the need for SQL skills, ETL or other programming language – and all without the assistance of data scientists or IT staff.

Self-Serve Data ETL empowers every business user and allows them to prepare data for their analytics using tools that enable data extraction transformation and loading – ETL for business users! In other words, business users can quickly move data into the analytics system without waiting for IT. Machine learning capability provides guidance to determine the best techniques and the best fit transformations for the data business users want to analyze, allowing for better understanding of data.

If you would like to explore the possibilities provided by Self-Serve Data PrepContact Us today to get started.

Original Post: Self-Serve Data Prep is Key to Data Democratization!

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Is Advanced Analytics the Next Logical Step Beyond Self-Serve Business Intelligence? https://www.elegantjbi.com/blog/advanced-analytics-next-logical-step-beyond-self-serve-business-intelligence.htm https://www.elegantjbi.com/blog/advanced-analytics-next-logical-step-beyond-self-serve-business-intelligence.htm#comments Thu, 31 Jan 2019 11:43:40 +0000 https://www.elegantjbi.com/blog/?p=5865 Continued]]> Is Advanced Analytics the Next Logical Step Beyond Self-Serve Business Intelligence?Many organizations have grown comfortable with their business intelligence solution, and find it difficult to justify the need for advanced analytics. The advantages of advanced analytics are numerous and those advantages are based on the ability to further improve the business, increase user adoption (and therefore user empowerment and accountability) and, best of all, improve the bottom line and the accuracy of predictions and forecasts that will dictate the success of the business in the future.

How is Advanced Analytics Different from Business Intelligence?

Put simply, business Intelligence uses historical data to reveal where the business has been, and managers can use this data to predict competitive response and discover what is changing in customer buying behavior and in sales. Advanced analytics goes beyond history by leveraging predictive analytics to give businesses insight into the future, and allows for the testing of theories and hypotheses in a risk-free environment so businesses can plan, predict and forecast for things like product pricing changes, new locations, changes in customer buying behavior, competitive response, etc.

Today’s Advanced Analytics Tools allow business users to leverage features like self-serve data preparation, smart data visualization and assisted predictive modeling. These tools allow for auto-recommendations and suggestions to guide users through the choices and options that will allow for the best visualization and produce the best predictions. Business users with average skills can explore and share data and produce reports with better, clearer results (all without the skills or knowledge of an analyst or data scientist). These augmented analytics tools use sophisticated algorithms and analytical techniques, married with natural language processing (NLP) so users can ask questions using normal human language and get results in the same way. The addition of Clickless Search Analytics makes it easier to bring advanced analytics to the organization and engage business users with full confidence in user adoption.

A comprehensive, self-serve advanced analytics solution Incorporates computational linguistics, analytical algorithms and data mining into a self-serve environment and provides an easy-to-use NLP search capability for swift, accurate data analysis. It gives the organization insight into previously hidden data so it can explore and ‘discover’ crucial patterns, trends, issues and opportunities to improve productivity and improve decision making across the organization.

The Components of Self-Serve Advanced Analytics:

Advanced analytics takes the organization and its users beyond BI tools by providing comprehensive functionality with an underpinning of sophisticated algorithms and tools in an easy-to-use environment.

Assisted Predictive Modeling provides predictive analytics capability assisted by auto-recommendations and auto-suggestions so users can apply predictive analytics to any use case using forecasting, regression, classification, clustering and other algorithms to analyze an infinite number of use cases and address customer targets, cross-sales opportunities, pricing, risk assessment and promotional targets and buying behavior.

Smart Data Visualization allows users to view and analyze data to identify a problem and clarify a root cause and to interact easily with data discovery tools and analytics software to 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.

Self-Serve Data Preparation allows users with average skills to perform data prep and transform, shape, reduce, combine, explore, clean sample and aggregate data without advanced skills In other words business users can perform data extraction, transformation and loading (ETL) without help – ETL for business users!

Advanced Analytics with Natural Language Processing (NLP) gives users a familiar Google-type interface to compose and enter a question using common human language, so they don’t need to scroll through menus and navigation. Search Analytics allow users to 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.

Business markets and competition are moving much more quickly these days and predicting, planning and forecasting is more important than ever. It is also important to ensure that every team member is a real asset to the organization and can contribute their knowledge and skill with full Insight into the effects and outcome of activities and processes and the ability to correct the course and make recommendations using clear, concise information. Advanced Analytics is the logical tool to help a business optimize its investments and achieve its goals.

Original Post: Is Advanced Analytics the Next Logical Step Beyond Self-Serve Business Intelligence?

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Deep Dive Analytics Makes Analysis Clear and Effective! https://www.elegantjbi.com/blog/deep-dive-analytics-tools-for-business-users.htm https://www.elegantjbi.com/blog/deep-dive-analytics-tools-for-business-users.htm#comments Wed, 30 Jan 2019 12:23:18 +0000 https://www.elegantjbi.com/blog/?p=5862 Continued]]> Deep Dive Analytics Tools for Business Users!Can Deep Dive Make My Analytics More Meaningful?

When it comes to data analytics, one can skim the surface, or take a deep dive into the data and, in so doing, find those hidden ‘nuggets’ of information that will change the perspective of the business, confirm a theory or reveal the root cause of a problem. With the right business intelligence solution, deep dive analytics is accessible to every business user.

Using sophisticated tools designed for the technical skills of the average business user, your team can analyze data for any time period and compare ad-hoc time periods without limits. Deep Dive Data Analytics allow you to make cross tabs with filters and data operations, and allow users to ask any questions on the fly to refine decisions and see with clarity.

The right Business Intelligence Analytics can help users with filtering, sorting, and manipulating data with unlimited dimensions. Users can drill into the data the way they want and reveal the details they need to see. They can add columns, compare disconnected time periods, add columns with computed data, rank, filter, sort, change data operations, change summary operations and groups, and much more.

Contact Us today and find out how Visual Analytics and the right Business Analytics can help your users and your business.

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Augmented Analytics Learning for All Users! https://www.elegantjbi.com/blog/enable-learning-for-citizen-data-scientists.htm https://www.elegantjbi.com/blog/enable-learning-for-citizen-data-scientists.htm#comments Wed, 30 Jan 2019 11:14:52 +0000 https://www.elegantjbi.com/blog/?p=5859 Continued]]> Enable Learning for Citizen Data Scientists!Can Augmented Analytics Tools Improve Business User Analytics Adoption?

When a business commits to data democratization and to improving data literacy, it must add advanced analytics tools that will support these initiatives. The education of business users is crucial if these projects are to be successful, but no business has the time or the money to schedule intensive training.

If a business wants to encourage adoption of advanced Data Analysis tools, it must provide Learning for Citizen Data Scientists, and nothing is better than learning by doing. With Augmented Analytics Learning, business users can enjoy the advantages of auto-recommendations and guidance to perform self-serve data preparation, smart data visualization and assisted predictive modeling.

While they are performing Advanced Analytics, they are learning and becoming power users. They can share data and create innovative views of data so that other business users will learn from them as well. Augmented Analytics Education does not have to take place in a classroom. It can take place during the analytical process. With the right tools, users will be willing to adopt the tools and, because they do not experience frustration, they will continue to learn as they work.

Techniques such as time series forecasting, decision tree analysis, linear regression, binary logistic regression, ARIMAX forecasting and ARIMA forecasting, and many other algorithms and analytical techniques are accessible in an easy-to-use environment, and users are offered recommendations to select the appropriate techniques, so no guesswork is necessary.

Contact Us if you want an advanced analytics solution that will encourage and support business users and sophisticated augmented analytics tools that will provide comprehensive planning, forecasting and analytical tools for use by every team member. Data Literacy

Original Post: Enable Learning for Citizen Data Scientists!

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ReImagine Business Intelligence and Analytics! https://www.elegantjbi.com/blog/can-bi-tools-help-my-business-to-disrupt-the-market.htm https://www.elegantjbi.com/blog/can-bi-tools-help-my-business-to-disrupt-the-market.htm#comments Tue, 29 Jan 2019 09:25:24 +0000 https://www.elegantjbi.com/blog/?p=5855 Continued]]> Can BI Tools Help My Business to Disrupt the Market?Can Business Intelligence Support Enterprise and Business User Needs?

The key to analytics today is to provide the tools to every user on the team and allow them to leverage those tools in whatever way is meaningful to their role and will help them support the goals of the organization. Business users need a BI tool that can provide business intelligence reporting and let them visualize data in a way that makes sense for the data and purpose they are considering.

Success in business today comes form market disruption and, like every other aspect of business, the successful enterprise must reimagine Business Intelligence.

The domain of Business Intelligence Software is no longer restricted to data scientists and IT staff. If these initiatives are to be successful, they must be open to all business users and allow them to engage in sophisticated advanced analytics with tools that are easy enough for the average business user to adopt.

No one can anticipate every analytical need and, when Business Intelligence Dashboards are static, rather than interactive, they put obstacles in the path of true market and competitive advantage and true analytical insight.

If you want to ReImagine Business Intelligence and BI Tools, and support your business users and your organizational objectives, Contact Us today to get started.

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Citizen Data Scientists Can Leverage Business Analytics! https://www.elegantjbi.com/blog/improve-data-literacy-and-create-citizen-data-scientists.htm https://www.elegantjbi.com/blog/improve-data-literacy-and-create-citizen-data-scientists.htm#comments Tue, 29 Jan 2019 07:03:17 +0000 https://www.elegantjbi.com/blog/?p=5852 Continued]]> Improve Data Literacy and Create Citizen Data Scientists!Citizen Data Scientists Improve Productivity and Innovation in the Enterprise!

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.

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.

Data Scientists play a critical role in some organizations and can continue to 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.

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.

If you would like to know more about how Advanced Analytics Tools can improve your enterprise planning and how your business users can graduate to Citizen Data Scientist roles, Contact Us today.

Original Post: Improve Data Literacy and Create Citizen Data Scientists!

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What is Automated Machine Learning (AutoML)? https://www.elegantjbi.com/blog/what-is-automated-machine-learning-automl.htm https://www.elegantjbi.com/blog/what-is-automated-machine-learning-automl.htm#comments Thu, 24 Jan 2019 10:43:34 +0000 https://www.elegantjbi.com/blog/?p=5849 Continued]]> What is Automated Machine Learning (AutoML)?What is Automated Machine Learning? Quite simply, it is the means by which your business can optimize resources, encourage collaboration and rapidly and dependably distribute data across the enterprise and use that data to predict, plan and achieve revenue goals.

With the right tools, today’s average business user can become a Citizen Data Scientist, using data integrated from various sources to learn, test theories and make decisions. AutoML comes into play as business users leverage systems and solutions that are designed with Machine Learning capabilities to predict outcomes and analyze data.

Take for example, the task of performing predictive analytics. Business users can leverage machine learning and assisted predictive modeling to achieve the best fit 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.

This Predictive Modeling capability is combined with auto-recommendations and auto-suggestions to simplify use so that business users can work with sophisticated predictive algorithms in an intuitive, easy-to-use environment and apply advanced analytics to use case using forecasting, regression, clustering and other methods to assess customer churn, target customers for acquisition, identify cross-sales opportunities, optimize pricing and promotional targets and analyze and predict customer preferences and buying behaviors.

AutoML is, quite simply, 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.

In its report entitled, ‘Augmented Analytics Is the Future of Data and Analytics’, published on October 31, 2018, Gartner provided the following strategic planning assumption: ‘By 2020, augmented analytics will be a dominant driver of new purchases of analytics and BI as well as data science and machine learning platforms, and of embedded analytics.’

Machine learning takes the heavy lifting away from business users and allows them to leverage their core business knowledge and skills to engage in predictive analytics, while allowing the flexibility and sophistication of machine learning to offer the guided assistance of a ‘smart’ solution. The system interprets the dataset, selects important columns, analyzes categories, types and other parameters and uses intelligent machine learning to automatically apply the best algorithm and analytical technique and provide data insights.

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.

Not so long ago, this type of Advanced Analytics would have demanded the services of a full-time, trained data scientist. Today, augmented data science and machine learning automates and democratizes key aspects of data science, predictive analytics and machine learning, and reduces the need for analysts and data science skills to generate, manage and collaborate using advanced analytic models. As AutoML and assisted predictive modeling evolves, business users, and the organizations they support, will benefit with increased productivity, improved knowledge management and more refined planning, predictions and outcomes.

Original Post: What is Automated Machine Learning (AutoML)?

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Mobile BI Software for All Devices! https://www.elegantjbi.com/blog/mobile-bi-tools-can-improve-productivity-business-success.htm https://www.elegantjbi.com/blog/mobile-bi-tools-can-improve-productivity-business-success.htm#comments Wed, 23 Jan 2019 13:03:18 +0000 https://www.elegantjbi.com/blog/?p=5846 Continued]]> Mobile BI Tools Can Improve Productivity & Business Success!Does My Team Need Mobile Business Intelligence Tools?

One of the critical factors in BI tools consideration is whether those tools are easily used on mobile devices. Mobile business intelligence tools are crucial to the success of a business intelligence project. Businesses may spend considerable time and effort on data democratization and on providing tools for team members to use in data analysis but if those tools are not mobile, if they are inaccessible to those on the road, out of the office or working from home, business users do not have equal access or adequate tools to perform day-to-day analytics, to share data with other users or to prepare reports or presentations.

Mobile BI Tools must be available on all manner of devices (desktops, tablets, laptops, smart phones – in all screen sizes and resolutions). No matter how large or small your business is, no matter what industry you are in, you probably have staff on the road. Today’s business users are also consumers when they are not work and they expect to be able to use their favorite applications on every type of device and in every location where they have a need to view or use the data.

Without Mobile BI Software your team will not have access to the crucial information they need to make decisions. A mobile BI tool will allow them the ability to respond to urgent requests, gather and analyze data in an easy-to-use, high-performance environment that will not frustrate them or make them wait.

Mobile Business Intelligence ensures access to data integrated from disparate data sources and allows users to share information, create reports, and perform sophisticated advanced analytics all in an easy-to-use interactive environment.

Contact Us today to find out how Mobile BI can help you to achieve your business goals.

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How Can Clickless Analysis Help Business Users? https://www.elegantjbi.com/blog/clickless-analytics-nlp-search-analytics-for-business-users.htm https://www.elegantjbi.com/blog/clickless-analytics-nlp-search-analytics-for-business-users.htm#comments Wed, 23 Jan 2019 11:47:12 +0000 https://www.elegantjbi.com/blog/?p=5843 Continued]]> Clickless Analytics & NLP Search Analytics for Business Users!What is Clickless Analytics and How Can It Help My Business?

Natural Language Processing Search Analytics (NLP) is a crucial component of search analytics and smart data discovery in today’s online and technology environment. Consumers and business users are very familiar with the search techniques used by online giants like Google and they expect and demand that same ease-of-use in apps and software designed for business user. 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 without the knowledge.

What is Search Analytics? With natural language-processing-based search capability, business users can perform research and analytics using data integrated from disparate data sources across the enterprise to get information, identify trends and patterns, forecast and plan and perform other analytics. They 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.

What is Clickless Analysis? Clickless analysis provides seamless search analytics and augmented analytics with advanced data discovery, using Machine Learning Modelling and Natural Language Processing (NLP), in a self-serve environment that is easy enough for every business user resulting in increased user adoption, improved data democratization, and return on investment (ROI). Clickless Analytics democratizes advanced analytics so business users can enjoy the benefits of smart data discovery using natural language searches. Simply enter the query in natural language and let the system do the rest. No advanced training is required!

If you would like to enjoy the ease and convenience of Search AnalyticsContact Us today to get started.

Original Post: Clickless Analytics & NLP Search Analytics for Business Users!

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Business Intelligence and Reporting for SAP! https://www.elegantjbi.com/blog/can-my-business-get-bi-integration-with-sap.htm https://www.elegantjbi.com/blog/can-my-business-get-bi-integration-with-sap.htm#comments Tue, 22 Jan 2019 13:46:34 +0000 https://www.elegantjbi.com/blog/?p=5840 Continued]]> Can My Business Get BI Integration with SAP?Business Intelligence Integration with SAP: Easy, Fast and Seamless!

If your business has invested in SAP and the ERP environment, then business intelligence integration with SAP® will definitely make your life easier! Imagine user-centric analytics for SAP with a focus on business users and a foundation of self-serve tools to support user adoption with Advanced Data Discovery so users can quickly and easily prepare and analyze data, and visualize and explore data, notate and highlight data and share data with others.

BI Integration with SAP your popular enterprise application provides organizations with ease of access to organizational data. Users can leverage the sophisticated, easy-to-use features of the ElegantJ BI suite to analyze data and produce reports and dashboards on their own without dependence on IT or analytical staff.

Organizations can leverage Business Intelligence and Reporting for SAP and access enterprise data stored within the SAP solution. BI integration with SAP is seamless and easy to use and allows users to leverage the ElegantJ BI interface to gather, analyze and report in minutes. The installation process takes less than a day and is simple and intuitive. Users do not need special skills to analyze data or create reports or dashboards.

Contact Us today and find out how ElegantJ BI and SAP Connectivity can combine to give you the data integration and analytics your business users need.

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Advanced Analytics Vendor with ETL for Business Users! https://www.elegantjbi.com/blog/advanced-analytics-for-business-users.htm https://www.elegantjbi.com/blog/advanced-analytics-for-business-users.htm#comments Tue, 22 Jan 2019 12:26:33 +0000 https://www.elegantjbi.com/blog/?p=5837 Continued]]> Advanced Analytics for Business Users!A Data and Analytics Platform to Support Business Users and Data Scientists!

A cutting-edge advanced analytics vendor takes an innovative approach to the data and analytics platform by focusing on Technology Leadership, Team Environment and a Customer and Partner Focus. A modern analytics platform should include predictive analytics for business users with cutting-edge business intelligence and data discovery tools.

Augmented Analytics represents the evolution of self-serve data preparation, including ETL for business users, smart visualization, assisted predictive modeling, and Clickless Analytics powered by Natural Language Processing.

An augmented analytics vendor should also provide tools that are suitable for data scientists for those times when 100% accuracy and strategic initiatives are at stake. Advanced Analytics for business users creates a solid foundation of self-serve, auto-recommendation tools in which Business Users can become Citizen Data Scientists.

Contact Us if you want a modern analytics vendor that can help your organization discover the benefits of the Smarten approach to Advanced Analytics Tools.

Original Post: Advanced Analytics for Business Users!

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How Can BI for BFSI Industry Help Me to Plan? https://www.elegantjbi.com/blog/business-intelligence-for-bfsi-industry.htm https://www.elegantjbi.com/blog/business-intelligence-for-bfsi-industry.htm#comments Mon, 21 Jan 2019 11:26:46 +0000 https://www.elegantjbi.com/blog/?p=5834 Continued]]> Business Intelligence for BFSI Industry!BI for BFSI Industry: Out-of-the-Box, Comprehensive Analytics!

Financial Services, Banking, Insurance and other finance-related industries are always working with numbers, statistics and data. When it comes to planning, analysis for business forecasting, identifying trends and patterns, anticipating risk and fraud, an analytics tool for banking, analytics for financial services and analytics for insurance should be out-of-the-box with functionality that is designed to make it easier for an enterprise to operate without customization or time-consuming, expensive changes.

Banking, financial services and insurance industries are sophisticated and complex and they are subject to significant regulation. These types of businesses generate mountains of data. For the enterprise that participates in one or more of these markets, it is important to stay abreast of changes in the market, changes in competition, and customer buying behavior and regulatory changes.

BI for Banking, Financial services & Insurance helps an enterprise achieve an integrated view of data across all systems and data sources in order to provide up-to-date data for analysis and decisions and focus on a secure transaction environment to ensure compliance and protect confidential and private data.

To be successful in this environment, an enterprise must establish and monitor appropriate KPI for BFSI Industry, and identify and support profitable customers, improve operations at the grass roots level and achieve true Business Intelligence for BFSI Industry planning and analytics to understand and improve portfolio performance and predict and forecast results based on trends and business patterns.

Contact Us today to explore the benefits of BI for BFSI Industry.

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Citizen Data Scientists and Augmented Analytics! https://www.elegantjbi.com/blog/data-literacy-for-business-users-with-augmented-analytics.htm https://www.elegantjbi.com/blog/data-literacy-for-business-users-with-augmented-analytics.htm#comments Mon, 21 Jan 2019 10:22:07 +0000 https://www.elegantjbi.com/blog/?p=5831 Continued]]> Data Literacy for Business Users with Augmented Analytics!Learning for Citizen Data Scientists and Data Literacy Across the Enterprise!

So you want to transform your business users and encourage learning for Citizen Data Scientists to enable data literacy across your enterprise? If your business is like most, your average business user doesn’t know (or need to know) the details of sophisticated algorithms and analytical techniques. But, you DO want to encourage data literacy and provide your business users with the tools they need to perform analytics.

Business users do not have the time or the inclination to get lost in complex algorithms or endure the frustration of trying to decide what technique to use to analyze a particular type of data. Consider the myriad of techniques used by data scientists and analysts!

  • Time Series Forecasting
  • Holt-Winters Forecasting
  • Exponential Smoothing
  • Descriptive Statistics
  • K-Means Clustering Algorithm
  • Multinomial Logistic Regression
  • ARIMA Forecasting
  • Frequent Pattern Mining Algorithm
  • Chi Square Test
  • Decision Tree Analysis
  • Outlier Analysis
  • Support Vector Machine Algorithm
  • SVM Algorithm
  • Hierarchical Clustering Algorithm
  • Karl Pearson Correlation
  • ARIMAX Forecasting
  • Linear Regression
  • Paired Sample T Test
  • Dependent Sample T-Test
  • Binary Logistic Regression
  • Spearman’s Rank Correlation
  • Simple Random Sampling
  • Stratified Random Sampling
  • Independent Samples T Test
  • Multiple Linear Regression
  • K-Nearest Neighbors Algorithm
  • KNN Classification
  • Naive Bayes Classifier

These are just some of the possible choices for analytical work. But, the mere mention of these techniques may strike fear into the hearts of your users. What you want is a way for your users to compile the data they want to analyze and receive some guidance and recommendations on how best to analyze this data based on the data type and other factors. THEN, all the user has to do is let the system do the work for them, using the best technique and the analysis is complete!

Discover how easy it is to capitalize on Augmented Analytics and Predictive Modeling! Business Users are the lifeblood of the organization. Encourage data sharing and Data Literacy and give business users what they need to the best asset possible.

If you would like to give your organization a competitive advantage, and discover how Augmented Analytics Learning and simplified use of sophisticated Predictive Modeling Algorithms and Analytical Techniques can help your business users and your organization, Contact Us today.

Original Post: Data Literacy for Business Users with Augmented Analytics!

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Why is Natural Language Processing Important to Enterprise Analytics? https://www.elegantjbi.com/blog/why-is-natural-language-processing-important-to-enterprise-analytics.htm https://www.elegantjbi.com/blog/why-is-natural-language-processing-important-to-enterprise-analytics.htm#comments Thu, 17 Jan 2019 12:12:40 +0000 https://www.elegantjbi.com/blog/?p=5827 Continued]]> Why is Natural Language Processing Important to Enterprise Analytics?The impact of natural language processing (NLP) on the productivity and decision quality within an organization cannot be overstated. As simplified search analytics expands into all corners of the enterprise, the business can expect business users to embrace advanced analytics and, in so doing, to become more of an asset to the organization.

The Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics, published on October 31, 2018, includes the following strategic assumptions:

  • By 2021, conversational analytics and natural language processing (NLP) will boost analytics and BI adoption from 32% of employees to over 50% of an organization’s employees, to include new classes of users particularly in front offices.
  • By 2020, 50% of analytical queries will be generated via search, NLP or voice, or will be automatically generated.

Consumers and business users alike have used natural language processing to search for and find information and, in the case of business users, there is an increasing expectation that search analytics will be simple and as easy to use as the search mechanisms provided by Google and other social networking companies and search engines.

So, what is search analytics today? It is a process that allows a business user with average technical skills to leverage sophisticated algorithms and techniques in a simple environment. 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.

An enterprise that commits to these types of advanced data analytics tools can enjoy the benefits of a shared understanding of data and goals, improved decision-making, fact-based analysis that avoids guesswork and allows for refined planning and forecasting at every level of the organization. Data Scientists and professional analysts can focus on strategic issues and analytical projects that require 100% accuracy while business users enjoy the benefits of increased accuracy, improved productivity, and ease of data sharing and collaboration.

Users ask a simple question and get a simple answer. For example, a business user might create the following search using natural language: ‘how did John Smith’s product sales in 2017 compare to his product sales in 2016?’

Conversational analytics and natural language processing (NLP) will advance the knowledge and skill of every business user and educate each user in the importance of metrics and analysis, so every business user will become a crucial business asset.

By simplifying search analytics, businesses will simplify and improve planning, forecasting, and capitalize on competitive opportunities and human capital and resources will be optimized.

Original Post: Why is Natural Language Processing Important to Enterprise Analytics?

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Social BI Tools Enable Business Users! https://www.elegantjbi.com/blog/2019/01/16/january-16-2019/social-bi.htm https://www.elegantjbi.com/blog/2019/01/16/january-16-2019/social-bi.htm#comments Wed, 16 Jan 2019 08:33:10 +0000 https://www.elegantjbi.com/blog/?p=5824 Continued]]> Social BI Expands Organizational Knowledge!Social Business Intelligence Engenders Sharing, Collaboration and Results!

You would have to be living on another planet to avoid social networking these days. The concept has permeated our lives and that includes the business environment. Whether you are engaging in online outreach to your customers and partners or encouraging sharing of data within your organization, you have probably experienced the benefits of shared knowledge, and collaboration and the new and innovative ideas and solutions that result from this kind of sharing.

When it comes to socialization and sharing, the Business Intelligence environment is no exception. Today’s data democratization and data literacy projects not only encourage this kind of sharing, but they recognize that these kinds of sharing environs can provide great benefit to the organization.

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

With Social Business Intelligence, 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.

If your business wants to encourage Social Business Intelligence, and reap the benefits of fact-based decision making, data sharing and collaboration, you can start here: Social BI

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Assisted Predictive Modeling for Business Users! https://www.elegantjbi.com/blog/2019/01/15/january-15-2019/assisted-predictive-modeling.htm https://www.elegantjbi.com/blog/2019/01/15/january-15-2019/assisted-predictive-modeling.htm#comments Tue, 15 Jan 2019 09:42:24 +0000 https://www.elegantjbi.com/blog/?p=5821 Continued]]> Assisted Predictive Modeling Improves Forecasting!How Can I Leverage Assisted Predictive Modeling to Benefit My Business?

Some people hear the term ‘assisted predictive modeling’ and their eyes cross. They immediately presume that we are talking about something complex and certainly NOT for them. Nothing could be further from the truth. This seemingly complex term actually describes a technique that is designed to be suitable for business users with average technical skills and, with these tools, the average user can enter the age of advanced analytics and make educated, confident business decisions about forecasts and predicted results.

Assisted Predictive Modeling provides the user with auto-suggestions and recommendations so the user can leverage the best analytical technique for a particular type of data. 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.

And, there are many benefits to the user and to organization!

  • No complex algorithms or data manipulation
  • Auto-recommendations for algorithms to explore underlying data without advanced knowledge
  • No advanced data science skills required
  • Analyze, share and optimize business potential
  • Business users can prototype and hypothesize without professional assistance
  • Support for day-to-day business decisions
  • Insight, perspective and analysis
  • Improved agility for business development
  • Timely and accurate decision-making
  • Emergence of power users and data popularity
  • Transformation to citizen data scientists

If you are looking for a way to leverage Advanced Analytics in a self-serve environment and to improve the knowledge and value-add of every team member, assisted predictive modeling tools can help you to achieve a more consistent understanding of targets and goals across the organization and a more fact-based forecasting and planning process.

Explore Assisted Predictive Modeling and find out how it can benefit your organization.

Original Post: Assisted Predictive Modeling Improves Forecasting!

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The Smarten Advanced Analytics Team Will Participate in the Vibrant Global Summit, Jan 18-22, 2019 https://www.elegantjbi.com/blog/smarten-advanced-analytics-team-will-participate-in-vibrant-global-summit-jan-18-22-2019.htm https://www.elegantjbi.com/blog/smarten-advanced-analytics-team-will-participate-in-vibrant-global-summit-jan-18-22-2019.htm#comments Fri, 11 Jan 2019 07:05:59 +0000 https://www.elegantjbi.com/blog/?p=5818 Continued]]> The Smarten Advanced Analytics Team Will Participate in the Vibrant Global Summit, Jan 18-22, 2019ElegantJ BI is pleased to announce that it will participate in The Vibrant Gujarat Global Summit 2019, where it will engage with partners and clients and demonstrate its Smarten product and innovative approach to advanced analytics. The Summit will take place at the Mahatma Mandir Exhibition cum Convention Centre, Gandhinagar, Gujarat, India January 18 through January 22, 2019.

Smarten clients, partners and technology innovators are invited to visit the Smarten team at Stall No 6n, in Hall No 5 to explore the Smarten product and its dynamic features and value-add.

Kartik Patel, CEO of ElegantJ BI, says, “The Smarten product continues to evolve in exciting and productive ways with Natural Language Processing (NLP) and Clickless Search Analytics that allow every business user to ask questions, receive answers and perform analysis without the specialized skills of a data scientist.”

The Smarten approach to augmented data discovery and advanced analytics tools is founded on technology leadership, customer and partner focus and a team environment that enables creativity, innovation and exciting advances in Advanced Analytics.

The ElegantJ BI Smarten Augmented Analytics solution represents the evolution of data analytics, and the Self-Serve Data PreparationSmart Data VisualizationAssisted Predictive Modeling and Clickless Analytics powered by Natural Language Processing.

“We are pleased to participate in the 9th Vibrant Gujarat Global Summit,” says Patel. “And to share the latest Smarten product features with clients, partners and technology innovators.”

The Smarten Augmented Analytics team of India based experts combines business intelligence, business analysts, data scientists, engineers and data warehouse (DWH) professionals, working together in a dedicated team environment to redefine and re-imagine analytical tools and create a new dynamic where business users, data scientists and IT staff can thrive and business can engender data literacy and data democratization.

Join the Smarten Team at the Vibrant Gujarat Global Summit 2019, January 18 through January 22, 2019 at the Mahatma Mandir Exhibition cum Convention Centre, Gandhinagar, Gujarat, India, Stall No 6n, in Hall No 5 and explore the innovative evolution of augmented analytics and advanced data discovery, suitable for every member of the organization.

Read More: The Smarten Advanced Analytics Team Will Participate in the Vibrant Global Summit, Jan 18-22, 2019

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Analytics for Telecommunication: Achieve Your Business Goals! https://www.elegantjbi.com/blog/can-bi-for-telecommunication-help-our-biz-to-achieve-goals.htm https://www.elegantjbi.com/blog/can-bi-for-telecommunication-help-our-biz-to-achieve-goals.htm#comments Wed, 09 Jan 2019 10:44:38 +0000 https://www.elegantjbi.com/blog/?p=5814 Continued]]> Can BI for Telecommunication Help Our Biz to Achieve Goals?Business Intelligence for Telecommunication: Your Secret Weapon!

Much of the telecom business is based on understanding the user base and the usage of the products and services. Understanding the volume and expectations and planning for future growth are key to continued success.

The telecommunication services industry is a market that faces significant challenges from competition, regulators, rapid technology shifts and innovations and a constant customer demand for new services, features and conveniences. In order to succeed, you must find and cultivate valuable partnerships and fend off or find new opportunities for acquisition. The opportunities for a sophisticated, prepared enterprise team are endless. However, it is difficult to merge and filter data and predict trends in the market and product and service offerings in order to stay ahead of the competition and be one-step ahead of customer needs.

Robust Business Intelligence for Telecom is mandatory to achieve success and the enterprise must provide a rich array of promotional programs, marketing campaigns and community outreach programs in order to get and keep the attention of the consumer. Additionally, BI for Telecommunication helps the enterprise to plan and make appropriate infrastructure and equipment investments so you can sustain client satisfaction and achieve your targeted profit margins.

Dashboards for Telecom, KPI for Telecom and a Reporting Tool for Telecommunication can provide out-of-the-box functionality to help your enterprise achieve a unified view of integrated data from various enterprise systems and sources. Users can leverage this data in a personalized dashboard view and schedule automated alerts to notify them of critical business issues.

Contact Us today to find out how Analytics for Telecommunication can help you to achieve your business goals.

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The Advantages of Augmented Analytics! https://www.elegantjbi.com/blog/benefits-of-advanced-analytics-are-numerous.htm https://www.elegantjbi.com/blog/benefits-of-advanced-analytics-are-numerous.htm#comments Wed, 09 Jan 2019 09:32:40 +0000 https://www.elegantjbi.com/blog/?p=5811 Continued]]> The Benefits of Advanced Analytics Are Numerous!What Are the Advantages of Augmented Analytics?

Advanced analytics benefits are too numerous to mention! What if your business users could leverage self-serve advanced analytics to see and use data in a way that made their jobs easier and made them more of an asset to the business?

Augmented Analytics advantages support users by empowering them and encouraging user adoption with auto-recommendations and suggestions that help them visualize data in a way that makes sense for the type of data they are analyzing. Assisted predictive modeling suggests techniques to analyze data that will result in the right outcome for the goals of the analysis. Self-serve data preparation walks the user through the data preparation process so that they can easily prepare data for analysis without the assistance of IT or a data scientist.

The benefits of Advanced Analytics include data sharing and allow the organization to produce fast, dependable insights and improve the value of business analysis across the enterprise. Empower users with augmented analytics that include ETL for business users, smart data visualization and more!

Business users get support for day-to-day decisions and can quickly and easily test theories and hypotheses in a risk-free environment. The organization enjoys improved agility for business development and timely, accurate business decisions. The enterprise can transform business users into Citizen Data Scientists and optimize the resources of the skilled data scientist with a renewed focus on strategic projects and data analysis.

Data scientists can reduce involvement in day-to-day analysis and focus on projects that require 100% accuracy to achieve mature modeling goals. IT can use their time on more critical projects and avoid routine report and analytical requests.

If you would like to enjoy the Advantages of Advanced AnalyticsContact Us today to get started.

Original Post: The Benefits of Advanced Analytics Are Numerous!

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Business Intelligence for Government: Get it Now! https://www.elegantjbi.com/blog/analytics-for-public-sector-is-timely-and-affordable.htm https://www.elegantjbi.com/blog/analytics-for-public-sector-is-timely-and-affordable.htm#comments Tue, 08 Jan 2019 11:15:30 +0000 https://www.elegantjbi.com/blog/?p=5806 Continued]]> Analytics for Public Sector is Timely and Affordable!BI for Government & Public Sector: A Reality Today!

Perhaps the most complex enterprise management environment is within the government and public sector arena. Here, the organization or institution must amend and monitor legislation and constitutional directives, laws, legislators, knowledge, data, and an overwhelming volume of information, articles, publications, events, campaign and program requirements and regulations. It is equally important for a government or public sector enterprise to accurately and quickly implement policies and legislation and to communicate with and service the community and its citizens. To government and public sector performance, the organization must have full insight into performance and accountability with the ability to forecast and predict changes and respond swiftly and appropriately.

BI for Public Sector and BI for Government are tools that many organizations consider and often dismiss as being too complex, too expensive and too difficult to implement in these types of environments. Nothing could be further from the truth. Today’s Business Intelligence for Public Sector and Business Intelligence for Government users is easy to use for business users and is cost-effective, scalable for growth and easy to implement.

In an environment where IT and technical advances often lag behind because of limits in budgets and IT staffing. Therefore, the government or public sector enterprise must have access to flexible, cost-effective technology solutions to satisfy current and future growth in a secured technology environment that ensures adequate privacy and confidentiality of information and data.

But, public sector and government enterprises need not lag behind! Tight budgets, users with average skills, restrictive timelines…none of that is cause for alarm. Whether it is analytics for public sector or KPI for government, these new, mobile, easy-to-use BI tools are suitable for every enterprise and will ensure appropriate data security and privacy initiatives and regulations are in compliance.

Contact Us today and find out how BI Tool for Government & Public Sector can meet your needs.

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What are Citizen Analysts and How Can They Improve Your Organization? https://www.elegantjbi.com/blog/what-are-citizen-analysts-and-how-can-they-improve-your-organization.htm https://www.elegantjbi.com/blog/what-are-citizen-analysts-and-how-can-they-improve-your-organization.htm#comments Thu, 03 Jan 2019 12:11:03 +0000 https://www.elegantjbi.com/blog/?p=5803 Continued]]> What are Citizen Analysts and How Can They Improve Your Organization?The days of data silos and isolated teams of data analysts and IT staff are behind us. Today, every business user must incorporate accurate analysis into the decision-making process. Enter, the Citizen Analyst!

What is a Citizen Analyst?

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

In the past, business users would request reports and data analysis from an analyst or IT professional with defined report and analytical requirements and then wait for the results to be produced through data extraction, transformation and loading (ETL) or analytical expertise. Today, Citizen Analysts can leverage self-serve business intelligence, and advanced data discovery tools, to produce reports and analysis in a flexible, interactive environment, with drag and drop capability and guided, auto-recommendations for display formats and the type of analysis best suited for a particular purpose.

How Can Citizen Analysts Improve Your Organization?

By enabling data integration and ease of analysis through the organization, the business can cascade knowledge and skill and make it easier for every business user to complete tasks, make accurate decisions and perform with agility in a fast-paced business environment.

Business users can work with self-serve advanced data discovery and advanced analytical tools using a drag and drop interface, with no advanced skill requirement for statistical analysis, algorithms or technical knowledge. Users can gather, prepare, integrate and analyze data, find patterns and trends, share findings and apply to strategic, operational and tactical activities.

These tools take the user beyond data monitoring and simple alerts and thresholds to help them discover subtle and important factors and avoid missteps in projects, markets and customer satisfaction. Self-serve BI tools provide a truly intelligent solution that suggests relationships, identifies patterns, suggests visualization techniques and formats, highlights trends and patterns, and presents predictions, so the organization can promote and encourage Citizen Analysts and advance the objectives and goals of the organization.

The Gartner report entitled, ‘Citizen Data Science Augments Data Discovery and Simplifies Data Science,’ dated December 9, 2016 (ID G00314599) states that, ‘ Through 2017, the number of citizen data scientists will grow five times faster than the number of highly skilled data scientists.’ Clearly, Citizen Analysts are here to stay!

Original Post: What are Citizen Analysts and How Can They Improve Your Organization?

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What is Clickless Analytics? You Will LOVE it! https://www.elegantjbi.com/blog/advanced-analytics-with-natural-language-processing.htm https://www.elegantjbi.com/blog/advanced-analytics-with-natural-language-processing.htm#comments Wed, 02 Jan 2019 11:44:00 +0000 https://www.elegantjbi.com/blog/?p=5800 Continued]]> Advanced Analytics with Natural Language Processing!Search Analytics that Works the Way Users Think!

Everyone knows how to ask a question using the Google search interface. It is easy because it allows the user to phrase the question using normal, human language. Imagine how few users Google would have if they required the user to know and use complex search queries to find a restaurant or locate a movie review!

Now, think about how much easier your Advanced Analytics solution would be if it engaged the user in the same way, allowing them to leverage natural language processing and ask questions in a way that makes sense to them. Your business users could take advantage of sophisticated analytical tools in an easy-to-use environment and get results in a way that makes sense to them.

This Search Analytics technique opens the door wide to data democratization and allows your business to get the most out of the knowledge and skill of every team member by enabling them to access and analyze data and make accurate decisions. Think of this technique as Clickless Analysis.

What is Clickless Analysis? Clickless analysis allows the user to leverage seamless augmented analytics and advanced data discovery, using machine learning and natural language processing (NLP), in a self-serve environment resulting in increased user adoption, improved data democratization, and return on investment (ROI).

Clickless Analytics democratizes advanced analytics so business users can enjoy the benefits of smart data discovery using natural language searches. Simply enter the query in natural language and let the system do the rest. No advanced training is required and no clicking, use of drop down menus or other ‘technical’ tricks and tools is required. Just type the question and you are done. The system will return the results in the same, easy-to-understand, natural language.

Contact Us if you want to discover the benefits of Natural Language Processing, Clickless Analytics and Search Analytics designed to support the way your users think and work.

Original Post: Advanced Analytics with Natural Language Processing!

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BI Tools for Hospitality and Entertainment Industries! https://www.elegantjbi.com/blog/bi-for-hospitality-and-bi-for-entertainment-industry.htm https://www.elegantjbi.com/blog/bi-for-hospitality-and-bi-for-entertainment-industry.htm#comments Wed, 02 Jan 2019 08:39:22 +0000 https://www.elegantjbi.com/blog/?p=5797 Continued]]> BI for Hospitality and BI for Entertainment Industry!BI for Hospitality and Entertainment: A Competitive Edge!

When it comes to recreation and enjoyment, the hospitality and entertainment industries are the best at anticipating how consumers want to relax. Whether a business is focused on lodging or on concerts, movies or live theater, the market for consumer dollars is hotter than ever and, to succeed, these types of businesses must predict trends, anticipate seasonality and modify products, services and marketing to accommodate changing consumer behaviors.

Analytics for Hospitality and Business Intelligence for Entertainment Industry are tools that are now widely used to predict and forecast, to test possible product and service ideas, and to anticipate competitive response. KPI for entertainment industry staff can help businesses to establish and manage key performance indicators and metrics and take the guesswork out of results. BI for hospitality teams can help organizations understand what guests like and dislike about services, what new amenities are the most popular, how locations and facilities compare and where the business should plan to open its next location.

The Hospitality and Entertainment industry is a fickle, competitive market. With so many options and choices for vacation, travel, entertainment and services, an enterprise in this industry must effectively manage its business and service value and offer new products and services, and innovation to keep pace with customer needs and market trends. Whether your business is a hotel, airline, pub, restaurant, travel agency, or entertainment complex, you have the same need for data. Analysis of current customer feedback and needs and the forecasting of trends are just two of the factors that drive your business. If you are to achieve excellence in customer satisfaction and optimize resources, investments, and performance, you need a simple way to view and analyze data and make confident decisions.

Contact Us today to explore the benefits of BI for Hospitality and Entertainment.

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Software for Data Visualization to Improve Your Results! https://www.elegantjbi.com/blog/smart-data-visualization-makes-your-users-smarter.htm https://www.elegantjbi.com/blog/smart-data-visualization-makes-your-users-smarter.htm#comments Mon, 31 Dec 2018 10:30:43 +0000 https://www.elegantjbi.com/blog/?p=5793 Continued]]> Smart Data Visualization Makes Your Users Smarter!Data Visualization Tools that are Smarter Can Make Users Smarter!

Visual Analytics tools 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.

Think about this for a moment and imagine what this approach to analytics could do for your users and for your company. Data Visualization should tell a story. It should paint a picture! If your business users are adopting self-serve advanced analytics tools, they want these tools to help them with their everyday tasks and reveal answers and ideas that will help them support the goals of the organization and succeed in their jobs.

Smart Data Visualization combines 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. Smart Data Visualisation will support your data democratization initiative and make it easier for your team members to contribute to the overall success of the business with easy to use, auto-suggestions that recommend visualization techniques for the type of data the user is analyzing.

If you would like to give your organization a competitive advantage, and discover how Data Visualization Software can help your organization, Contact Us today.

Original Post: Smart Data Visualization Makes Your Users Smarter!

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Can My Business Leverage Tally in a Mobile Environment? https://www.elegantjbi.com/blog/can-my-business-users-access-tally-via-mobile-devices.htm https://www.elegantjbi.com/blog/can-my-business-users-access-tally-via-mobile-devices.htm#comments Thu, 27 Dec 2018 09:55:47 +0000 https://www.elegantjbi.com/blog/?p=5790 Continued]]> Can My Business Users Access Tally Via Mobile Devices?Can Tally Help My Business Manage with Easy-to-Use Tools and Reporting?

Every Tally user sees the value of the Tally solution and its features and functionality. IF anything, Tally users just want to use the solution more but the need to access the information within Tally can be difficult to address because Tally is a desktop app, accessible from within the walls of the enterprise. For small and medium businesses, the prospect of customizing or taking on a long-term project to make Tally accessible via mobile devices is just too expensive, time consuming and complicated.

But, your users can gain access to Tally data in near real time using the Mobile App for Tally. The Tally Mobile App is easy to use and is accessible on iOS and Android devices, so your users can enjoy access to Tally on the road, in the office, at home – virtually anywhere!

Tally on Mobile provides online and offline access to critical tools and data from the Tally systems. These mobile Tally dashboards are designed by ElegantJ BI, a Tally partner that provides Business Intelligence for Tally. These BI Tools are easily integrated with the Tally solution with cost-effective functionality that offers sophisticated, yet easy-to-use features and analytical features to support IT, business users and managers alike. ElegantJ BI is an Independent Software Vendor (ISV) partner, that provides the Tally Mobile App and support and domain expertise for Business Intelligence for Tally for value-add features, functionality and flexibility.

Tally Mobile Application provides access to key indicators, trend tracking and analysis, and access to, and analysis of, recent transactions in a user-friendly, native mobile app user interface, so users can take advantage of familiar Tally tools and data and the organization can leverage its investment in Tally both in the office and on the road.

The Mobile App for Tally is free to try for 30 days and it only takes a few minutes to download and get started. Licensing is affordable for even the smallest enterprise and users have full support for the mobile app. Businesses can track data for multiple companies, execute ledger inquiries, display recent transactions, view balances, taxes, duties, etc. The Tally Mobile App connects to the desktop app and to secured Cloud access to push data at predefined frequency, so you have ongoing access to your data on the road.

If you want more information on the Tally Mobile App and how it will benefit your users and your organization, Contact Us today.

Original Post: Can My Business Users Access Tally Via Mobile Devices?

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India-Based BI Tools for Every Size Business! https://www.elegantjbi.com/blog/advanced-analytics-india-the-future-is-now.htm https://www.elegantjbi.com/blog/advanced-analytics-india-the-future-is-now.htm#comments Mon, 24 Dec 2018 11:08:35 +0000 https://www.elegantjbi.com/blog/?p=5787 Continued]]> Advanced Analytics India! The Future is Now!Business Intelligence in India: A Local Approach to Global Success!

India has a thriving business economy with a significant focus on technology. Whether a business plays in the technology market or is just trying to ensure that it can effectively compete in the local or global market, business intelligence is a necessary component of success. No matter how large or small the business may be, the concept of data democracy and business user empowerment is an important idea to embrace.

Most organizations today have a significant number of team members working outside the office or on the road. The best Mobile Business Intelligence India has to offer is easy to implement and suitable for every budget. Today’s BI tools market offers more cost-effective, easy-to-use tools to transform business users into Citizen Data Scientists with tools designed and developed by India-based vendors.

With the right Advanced Analytics India and its businesses, can effectively participate and compete in the global market and better predict business growth, the need for resources and the changes in customer buying behavior.

While some businesses may believe that Business Intelligence Solutions are too complicated and expensive for them to consider, nothing could be further from the truth. Fact-based, data-driven decisions are important for the success and growth of every business and, the good news is that modern BI tools are within the reach of every organization.

Contact Us today to find out how the most dedicated Business Intelligence Company in India can help you to achieve your business goals.

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Discover Advanced Analytics Advantages! https://www.elegantjbi.com/blog/benefits-of-augmented-analytics-are-many.htm https://www.elegantjbi.com/blog/benefits-of-augmented-analytics-are-many.htm#comments Mon, 24 Dec 2018 10:15:21 +0000 https://www.elegantjbi.com/blog/?p=5784 Continued]]> The Benefits of Augmented Analytics Are Many!What Are the Advantages of Advanced Analytics?

If you are considering an advanced analytics solution, you are probably wondering what you might get from the solution. Are there real benefits to this type of solution and to the democratization of data and the implementation of a self-serve augmented analytics solution that is meant for business users?

The answer to all those questions is a resounding, ‘yes’! Augmented Analytics Advantages are numerous! By implementing this type of advanced analytics solution in your organization, you can empower business users and hold them accountable for decisions. You can plan and forecast with more confidence, and you can make accurate, timely business decisions that are dependable. You can identify opportunities, solve problems and share data to ensure that everyone in the organization is informed, and working with the latest data.

With the right, self-serve tools, you can provide a sophisticated environment that is easy to use and allows for guidance and recommendations to ensure the appropriate type of smart data visualization, and provide support for self-serve data preparation and assisted predictive modeling to help users through the planning process. Advanced Analytics Benefits include advantages for business users AND for data scientists:

For Business Users

  • Support for day-to-day business decisions
  • Insight, perspective and analysis
  • Quick hypothesis and prototyping
  • Improved agility for business development
  • Timely and accurate decision-making
  • Emergence of power users and data popularity
  • Transformation to citizen data scientists

For Data Scientists

  • Reduction in day-to-day requests
  • Ability to focus on strategic projects
  • Focus on projects that require 100% accuracy
  • Ability to achieve mature modeling goals

If you would like to give your organization a competitive advantage, and discover the Advantages of Augmented AnalyticsContact Us.

Original Post: The Benefits of Augmented Analytics Are Many!

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It’s Easy to Connect Enterprise Apps to BI Tools! https://www.elegantjbi.com/blog/2018/12/19/december-19-2018/enterprise-app-connectors.htm https://www.elegantjbi.com/blog/2018/12/19/december-19-2018/enterprise-app-connectors.htm#comments Wed, 19 Dec 2018 13:09:03 +0000 https://www.elegantjbi.com/blog/?p=5780 Continued]]> Connect BI Tools to Enterprise Apps with Ease!Can My Business Leverage Data from Enterprise Apps by Connecting BI Tools?

Imagine if you were able to connect a business intelligence solution or BI tool to your enterprise applications without expensive, cumbersome integration! You would have access to all of that data for analysis, reporting and you could combine this data with data from other sources to get meaningful results, predict and forecast, identify trends and patterns and collaborate and share data.

If you could connect Business Intelligence with Enterprise Applications using easy-to-implement connectors, you could make a huge impact on your business users and on the ROI and TCO of your organization with minimal implementation time and little training requirement.

Ready to use BI Applications include meta-data definitions, dashboards, KPIs and reports, designed by industry, domain and BI experts to give your BI initiative a quick start. Your organization can start using this plug n’ play functionality right away with connectivity to many popular apps.

  • Connect BI Tool to Tally to monitor business parameters and performance indicators, and create reports, KPIs and dashboards for every business need. Analyze sales by customer, product and region. Compare performance for numerous time periods. Monitor revenue by Customer, Product/Product Category. Analyze Top/Bottom Receivables/Payables to drive collections.
  • Connect BI Tool to SAP with ease of access to organizational data. Users can analyze data, and produce reports and dashboards on their own without dependence on IT. The Business Application Programming Interface (BAPI) connection to SAP allows for access to data within SAP. Users can select a BAPI and then select from a list of available output columns, with simple drag n’ drop functionality in a 100% browser based, self-serve interface.
  • Connect BI Tool to MDX Data Sources with ready-to-use connectivity with Microsoft® SSAS and other MDX compliant data sources to leverage your investment in these technologies with easy to use, self-serve business intelligence tools.
  • Connect BI Tool to Other Apps like CSV/Excel® files and most RDBMS, e.g., Oracle®, Microsoft® SQL Server, IBM® DB2, MySQL®, Sybase ASE®, PostgreSQL®, and Amazon Redshift® via JDBC/ODBC connectivity.

If you need business intelligence and analytical tools with this type of inter connectivity at a reasonable cost, here it is: BI Tools with Enterprise Connections

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Case Study: Fund Management System with Business Intelligence Analytics for India’s National Dairy Development Board https://www.elegantjbi.com/blog/case-study-fund-management-system-with-business-intelligence-analytics-for-indias-national-dairy-development-board.htm https://www.elegantjbi.com/blog/case-study-fund-management-system-with-business-intelligence-analytics-for-indias-national-dairy-development-board.htm#comments Tue, 18 Dec 2018 10:29:59 +0000 https://www.elegantjbi.com/blog/?p=5777 Continued]]> The National Dairy Development Board promotes finances and supports producer-owned and controlled organizations across India. Its programs and activities are designed to strengthen farmer cooperatives and to support national policies that are designed for the growth of these institutions. The NDDB site and team provides information for consumers, dairy farmers, cooperative and engineering services, sector analysis and studies and more. The client wished to upgrade and improve its technology and tools to support the NDDB team and its stakeholders and information consumers. The project requirements included a Fund Management system, integration with other NDDB systems, crucial analytical tools, financial systems with budget allocation and utilization tools and other features and functions to support the organization.

The Elegant MicroWeb team coordinated its project and support approach to provide solutions to manage finances, budgets, workflow and analysis with crucial support for growth, stability and advancement of the NDDB mission and vision. Elegant MicroWeb also provided support for NDDB analytical requirements with the Elegant MicroWeb flagship business intelligence solution, ElegantJ BI, with BI tools for reporting, personalized dashboards, mobile BI, KPIs and other sophisticated, easy-to-use business intelligence features.

download-casestudy

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Business Users and Data Scientists Get Predictive Analytics! https://www.elegantjbi.com/blog/2018/12/17/december-17-2018/assisted-predictive-modeling-r-integration.htm https://www.elegantjbi.com/blog/2018/12/17/december-17-2018/assisted-predictive-modeling-r-integration.htm#comments Mon, 17 Dec 2018 14:14:45 +0000 https://www.elegantjbi.com/blog/?p=5774 Continued]]> Assisted Predictive Modeling with R IntegrationBiz Users Get Plug n’ Play Analytics, Data Scientists Get R Integration!

When someone says ‘plug n’ play’, a lot of people think of the idea of plugging in an electrical appliance and having it run instantly. I think plug n’ play analysis should be that simple as well!

My business users don’t have the skill, the patience or the time to become data scientists. But, they don’t have to be data scientists to use augmented analytics. Tools like Assisted Predictive Modeling allow the average business user to become a Citizen Data Scientist with tools that offer guidance and auto-suggestions to help the user arrive at the outcome they need without being frustrated or having to call in an army of analysts and IT staff to help them complete their analysis.

Predictive Analytics for business users leverages machine learning and assisted predictive modeling to help users achieve the best fit and ensure that they use the most appropriate algorithm for the data they wish to analyze. With these tools, users can explore patterns in data and receive suggestions to help them gain insight on their own without dependence on IT or data scientists. The enterprise can provide the tools needed at every level of the organization with tools and data science for business users that are sophisticated in functionality and easy-to-use for users at every skill level.

Predictive modeling capability and auto-recommendations simplify use and allow business users to leverage Predictive Analytics Algorithms without the expertise and skill of a data scientist. The plug n’ play predictive analytics and predictive modeling platform is suitable for business users. These tools allow the organization to apply predictive analytics to any use case using forecasting, regression, clustering and other methods to analyze an infinite number of use cases including customer churn, and planning for and target customers for acquisition, identify cross-sales opportunities, optimize pricing and promotional targets and analyze and predict customer preferences and buying behaviors.

In addition to all of these benefits, you can sell your organization on this type of easy-to-use, sophisticated augmented analytics tool by pointing out that data scientists who want to leverage R Script can use these tools to capitalize on their expertise and on enterprise investments in R open source platform. They can perform statistical and predictive algorithms, and complex analysis to provide the depth of detail and advanced analytics and reporting the organization needs for strategic decision-making.

So EVERYONE is happy. Business users have the plug n’ play predictive analytical capacity they need to function at peak performance and data scientists can leverage sophisticated tools to add value to strategic initiatives.

What could be better? If this sounds good to you, I can tell you how to get started. Assisted Predictive Modeling with R Integration

Original Post: Assisted Predictive Modeling with R Integration

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What Should I Look For In a BI Tool? https://www.elegantjbi.com/blog/the-right-bi-tool-solves-all-the-right-problems.htm https://www.elegantjbi.com/blog/the-right-bi-tool-solves-all-the-right-problems.htm#comments Thu, 13 Dec 2018 11:13:46 +0000 https://www.elegantjbi.com/blog/?p=5771 Continued]]> The Right BI Tool Solves All the Right Problems!Is There a Business Intelligence Solution That Suits My Needs?

There are a lot of components to a comprehensive business intelligence solution. The process of integrating data from disparate sources, and using that data to analyze, clarify, find issues, identify opportunities and make decisions is one that is crucial to every organization, no matter how small or large but it can seem daunting. But, with the right BI reporting tool and dashboard software, your business can do great things and you can empower your business users and make them more productive.

Look for Business Intelligence Software that is 100% browser-based and mobile so your users can access it at anytime from anywhere. The solution should include a dynamic KPI tool to establish and monitor metrics and measurements. The solution should allow your users to deep dive into data and drill down and through to find the root cause of problems, and it should enable business users to encourage Social BI, so users can share and rate data and the organization can discover what data is the most useful to its users.

Add in graphical analysis, visual analytics, what-if analysis, exception reporting and real time cube management to connect data sources like databases, OLAP cubes and spreadsheets, and you are there.

Contact Us today to find out how the right BI Tools and Solutions can help you to achieve your goals.

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What is Advanced Analytics and What Are the Benefits of Advanced Analytics? https://www.elegantjbi.com/blog/what-is-advanced-analytics-and-what-are-the-benefits-of-advanced-analytics.htm https://www.elegantjbi.com/blog/what-is-advanced-analytics-and-what-are-the-benefits-of-advanced-analytics.htm#comments Wed, 12 Dec 2018 12:08:37 +0000 https://www.elegantjbi.com/blog/?p=5768 Continued]]> What is Advanced Analytics and What Are the Benefits of Advanced Analytics?Many businesses are just discovering the benefits of self-serve business intelligence and establishing data democratization initiatives but, as every business manager and team member knows, business markets and competition move rapidly and yesterday’s business intelligence initiatives are morphing into advanced analytics efforts. As businesses consider the transition, it is important to understand the advantages of advanced analytics.

What is Advanced Analytics?

Advanced analytics is a comprehensive set of analytical techniques and methods designed to help businesses discover trends and patterns, solve problems, accurately predict the future and drive change using data-driven, fact-based information. It takes the enterprise beyond business intelligence by offering sophisticated algorithms and analytical techniques that allow for more refined, detailed answers and more creative, educated decisions.

Business Intelligence uses historical data to reveal where the business has been, and managers can use this data to predict competitive response, and ongoing changes in buying behaviour. Advanced analytics tools allow for better predictive analytics and provide insight into change as it is taking place, so businesses can be more responsive and forecasts and plans will be more accurate.

As the analytical solutions market evolves, the advent of self-serve tools provides business users with the ability to leverage self-serve data preparation, smart data visualization and assisted predictive modeling and operate at a level that was not possible before. Without the assistance of a data scientist, business users with average skills can explore data and enjoy the advantages of augmented analytics with guidance and recommendations that will help them get better, clearer results without the skills or knowledge of an analyst or data scientist. These tools use sophisticated algorithms and analytical techniques, married with natural language processing (NLP) so users can ask questions using normal human language and get results in the same way. The addition of Clickless Search Analytics makes it easier to bring advanced analytics to the organization and engage business users with full confidence in user adoption.

A self-serve advanced analytics solution Incorporates computational linguistics, analytical algorithms and data mining into a self-serve environment and provides an easy-to-use NLP search capability for swift, accurate data analysis. It suggests relationships and provides insight into previously hidden data so business users can explore and ‘discover’ crucial business results, patterns, trends, issues and opportunities and improve productivity and smart decision making across the organization.

What Are the Benefits of Advanced Analytics?

When an enterprise chooses to implement self-serve Advanced Analytics, it encourages user empowerment and user adoption. It also enables data sharing and allows the organization to produce fast, dependable insights and improve the value of business analysis across the enterprise, democratizing the use of advanced analytics and augmented predictive tools among business users. As the business world discovers the benefits of smart data discovery, these tools have evolved, making it easier for business users and data scientists to gather, integrate and analyze data.

Advantages of Augmented Analytics for Business Users:

  • Support for day-to-day business decisions
  • Insight, perspective and analysis
  • Quick hypothesis and prototyping
  • Improved agility for business development
  • Timely and accurate decision-making
  • Emergence of power users and data popularity
  • Transformation to citizen data scientists

Advanced Analytics Benefits for Data Scientists:

  • Reduction in day-to-day requests
  • Ability to focus on strategic projects
  • Focus on projects that require 100% accuracy
  • Ability to achieve mature modeling goals

In short, if an organization selects an advanced analytics solution that supports augmented data discovery with tools that are suitable for business users and data scientists alike, it can provide maximum results, quickly and easily, with minimal training requirements, minimum implementation time and minimal support to achieve rapid ROI and low TCO.

Original Post: What is Advanced Analytics and What Are the Benefits of Advanced Analytics?

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Why is Natural Language Processing Important? https://www.elegantjbi.com/blog/do-i-need-clickless-search-analytics.htm https://www.elegantjbi.com/blog/do-i-need-clickless-search-analytics.htm#comments Wed, 12 Dec 2018 10:33:27 +0000 https://www.elegantjbi.com/blog/?p=5765 Continued]]> Do I Need Clickless Search Analytics?What is Clickless Analysis and Why Should I Care?

What is Clickless Analysis, and why is it important to your Advanced Analytics solution? Clickless Search Analytics provides seamless augmented analytics and advanced data discovery, using machine learning and natural language processing (NLP), in a self-serve environment that is easy enough for every business user resulting in increased user adoption, improved data democratization, and return on investment (ROI).

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 so users do not need to scroll through menus and navigation. No clicking required! They simply enter a search query in natural language and the system translates the query, and returns the results in natural language in an appropriate form, such as visualization, tables, numbers or descriptions.

What is Clickless Analytics? Smarten Auto Insights Has It! If you want to explore the possibilities, and take smart data discovery to the next level, Contact Us.

Original Post: Do I Need Clickless Search Analytics?

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Business Intelligence Software for Shipping! https://www.elegantjbi.com/blog/bi-dashboards-for-shipping-can-simplify-your-business.htm https://www.elegantjbi.com/blog/bi-dashboards-for-shipping-can-simplify-your-business.htm#comments Thu, 29 Nov 2018 13:55:19 +0000 https://www.elegantjbi.com/blog/?p=5761 Continued]]> BI Dashboards for Shipping Can Simplify Your Business!Business Intelligence for Shipping: The Smart Choice!

If you work in the shipping and distribution industry, you know how complicated life can be! The industry has come under increasing scrutiny as international trade, national trade, security concerns and other factors impact the shipping enterprise in ports, distribution hubs, and entry points around the world.

Global demand for transportation services is strong, and the deregulated market means tougher competition for every business in the shipping market. Today, the shipping enterprise must work harder to acquire and retain clients and to meet industry and government standards and regulation.

Given this market reality, Business Intelligence for Shipping is more important than ever! Using business intelligence tool, shipping companies, distribution networks, carriers, and third party logistics (3PL) companies can accelerate the speed of goods distribution and effectively use and analyze sales data for competitive advantage.

Users can also leverage simple, practical analytics to create powerful reports and monitor critical business issues like safety, regulatory compliance, and quality and environmental protection measures.

Contact Us today to find out how Analytics for Shipping can help you simplify your decisions and your planning process.

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Does Data Democratization Result in Data Anarchy and Bad Business Decisions? https://www.elegantjbi.com/blog/does-data-democratization-result-in-data-anarchy-and-bad-business-decisions.htm https://www.elegantjbi.com/blog/does-data-democratization-result-in-data-anarchy-and-bad-business-decisions.htm#comments Thu, 29 Nov 2018 12:20:14 +0000 https://www.elegantjbi.com/blog/?p=5758 Continued]]> Does Data Democratization Result in Data Anarchy and Bad Business Decisions?One of the most common excuses used to avoid data democratization and self-serve augmented data discovery is that the organization cannot guarantee data integrity and that, if business users have access to dated, incorrect or incomplete data, the resulting decisions will not be better but rather worse than the decisions made today. Further, this theory says that the distribution of this inaccurate data will have a systemic effect on truth and promote disastrous business decisions. There are several mistaken assumptions in this theory, and several ways an organization can guarantee success in a data democratization initiative.

An augmented data discovery solution is not an argument for data anarchy:

Rather, with the tools provided, an organization can put in place the appropriate data governance to address concerns regarding user access and the data that is integrated and accessed by business users. Data governance must encompass the ways in which data is used, shared AND edited. The right self-serve Augmented Data Discovery tools allows for a balance of data governance and data democratization for easy access and allows the IT team to control appropriate user access and data security at the individual, team, department, division and corporate level, without sacrificing data democratization.

Every person in the organization should be accountable:

We have become so used to the idea that IT is responsible for IT that we don’t think of data as one of the aspects of accountability we expect of each team member.

Your analytics strategy should empower business users AND make them more accountable and more of an asset in building business success. And, you can improve and refine the quality and interpretation of data to enhance decision-making. With integrated, mobile access, users may still need context to properly interpret and analyze data and share and present it with clarity and precision. Promote Data Literacy, and train and hold your business users accountable for using and presenting data appropriately to ensure clarity and appropriate decision-making.

Provide curated data with clear provenance and assignation:

You can establish the IT team as curators of validated data, and identify and highlight data, images with tags or ‘watermarks’. This process is not necessarily required for every type of data but by establishing priorities for when and how these labels are applied; the organization can significantly improve user comprehension and appropriate analysis. This kind of labeling can include a ‘data hash’. A Data Hash is a string of numbers and/or letters. If a file is modified, the ID of the modified file will note that it is not the original, so the user understands the source of the data and whether it has been edited. A ‘watermark’ can also be used to allow users to drill down to the original data provenance and see the details of changes and edits to determine whether the data has been substantively altered.

These are just a few of the considerations and methods you can use to ensure appropriate data governance, data democratization and a better understanding of the source of data and allow the organization to take full advantage of self-serve Advanced Data Discovery without fear of data anarchy or loss of data integrity.

Original Post: Does Data Democratization Result in Data Anarchy and Bad Business Decisions?

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Advanced Analytics Tools Can Be Your Secret Weapon! https://www.elegantjbi.com/blog/can-advanced-analytics-software-help-my-business-planning.htm https://www.elegantjbi.com/blog/can-advanced-analytics-software-help-my-business-planning.htm#comments Wed, 28 Nov 2018 14:16:40 +0000 https://www.elegantjbi.com/blog/?p=5755 Continued]]> Can Advanced Analytics Software Help My Business Planning?What is Advanced Analytics, and How Can it Help My Business?

What is advanced analytics? Where to start? Advanced analytics takes analysis to the next level by providing sophisticated techniques designed to get to the heart of data and offer insight and answers with which businesses can make more accurate decisions and develop more dependable, accurate plans and forecasts. Advanced Analytics includes predictive analytics, smart data visualization, and other components.

In today’s business environment, the key to Advanced Analytics lies with tools that are simple enough for business users and will encourage data democratization, user empowerment and accountability and data sharing. That means that Data Discovery Tools must include self-serve features and modules like Smart Data Visualization, with auto-recommended suggestions for how to best visualize data for clarity, as well as self-serve data preparation to allow the average business user to prepare data for analysis without the assistance of an IT staff member or a data scientist.

The solution should also include assisted predictive modeling that provides augmented analytics with natural language processing (NLP) so users can ask questions using normal language and receive answers in the same way. Simplified search analytics are key to user adoption and understanding.

These augmented data discovery tools are crucial to data democratization and to enhancing and supporting business decisions and competitive advantage.

If you would like to explore the potential of Advanced Data DiscoveryContact Us today!

Original Post: Can Advanced Analytics Software Help My Business Planning?

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Explore the Potential of BI Tools for Pharma! https://www.elegantjbi.com/blog/bi-dashboards-for-pharmaceuticals.htm https://www.elegantjbi.com/blog/bi-dashboards-for-pharmaceuticals.htm#comments Tue, 27 Nov 2018 14:23:47 +0000 https://www.elegantjbi.com/blog/?p=5752 Continued]]> BI Dashboards for Pharmaceuticals!Can Analytics for Pharmaceuticals Simplify Decisions and Planning?

If you work in a pharmaceutical company, you can appreciate how large and complex these businesses are and the critical need for information and data that is a constant reality within your organization. Data crosses the enterprise in the form of research and development, regulatory compliance requirements, test data, drug contraindications, side effects, clinical trials, ingredients and dosage information, doctor and patient information and more.

Developing a pharmaceutical product for sale involves human resource allocation and skills and knowledge management, the expense of managing the patients and practitioners involved in clinical trials and a protracted time to market with the need for constant data management and analysis. Test data may cross-geographical and cultural boundaries, and require data analysis and communication in various languages and across multiple enterprise systems and platforms. Once a pharmaceutical product has been tested, the enterprise must obtain approval from regulatory agencies and work within strict parameters with less margin for error.

So, how does Business Intelligence support your pharmaceutical enterprise? The answer is simple. Business Intelligence for Pharmaceuticals provides you with the ability to quickly and easily implement Business Intelligence across the enterprise in a simple, practical, affordable, browser-based environment and allow your users to leverage a clear, accurate reporting tool for pharmaceuticals to share data and make confident decisions.

Users can view and manage data in a simple dashboard environment to manage quality control, receive notice of quality issues, target and manage sales, supply and distribution and supplier and network relationships.

Contact Us today to find out how we can simplify and clarify your pharmaceutical business and help you make the right decisions. BI for Pharmaceuticals

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Predictive Analytics for Every Skill and Use! https://www.elegantjbi.com/blog/assisted-predictive-modeling-that-is-suitable-for-all-users.htm https://www.elegantjbi.com/blog/assisted-predictive-modeling-that-is-suitable-for-all-users.htm#comments Mon, 26 Nov 2018 13:51:09 +0000 https://www.elegantjbi.com/blog/?p=5749 Continued]]> Assisted Predictive Modeling That is Suitable for All Users!Your Business Users Will LOVE Predictive Analytics Tools!

Predictive Analytics used to involve a crystal ball but, today, there are other options and they are more widely accepted in the business community! With the right predictive analytics tool, your business can hypothesize, test theories, discover the effects of a possible price increase, discover and address changing buying behavior and develop appropriate competitive strategies.

And, with Assisted Predictive Modeling, your business users can leverage sophisticated tools, algorithms and techniques in a simple, intuitive environment to predict future results. Predictive modeling provides auto-recommendations and auto-suggestions to simplify use so business users can take advantage of predictive algorithms without the expertise and skill of a data scientist.

Assisted predictive modelling tools allow the organization to apply Predictive Analytics to any use case using forecasting, regression, clustering or other methods. You can analyze an infinite number of use cases including customer churn, and planning for and targeting of customers for acquisition, and you can identify cross-sales opportunities, optimize pricing and promotional targets, and analyze and predict customer preferences and buying behaviors.

If you would like to give your business users these sophisticated, easy-to-use Predictive Analytics ToolsContact Us.

Original Post: Assisted Predictive Modeling That is Suitable for All Users!

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Can Tally Provide Support for My SME Business? https://www.elegantjbi.com/blog/is-tally-the-right-accounting-solution-for-my-business.htm https://www.elegantjbi.com/blog/is-tally-the-right-accounting-solution-for-my-business.htm#comments Wed, 21 Nov 2018 13:57:31 +0000 https://www.elegantjbi.com/blog/?p=5745 Continued]]> Is Tally the Right Accounting Solution for My Business?Is Tally a Good Solution for Small and Medium Sized Companies?

Tally is on on-premises accounting solution (aka a desktop software application) that is very popular among small and medium sized businesses and it offers numerous features and robust functionality.

It has features that support accounting, finance, inventory and purchasing, sales, banking, manufacturing, job and project costing, point of sale (POS) payroll and other functions. It is beneficial for business users and for managers and provides numerous reporting options. Users can leverage access features like Receivables and Payables, Budgets and Controls, Groups, Ledgers, Cost and Profit Centers, Fund and Cash Flow, Interest Calculations, and more, all conveniently presented and managed via mobile devices, so there is no lost productivity.

If you are considering Tally for accounting and finance, you will want to look seriously at the Tally Mobile App, as this will extend access to iOS and Android devices and allow users to access the features of the desktop solution from outside the office.

Tally dashboards are now accessible from anywhere at any time. Tally on Mobile devices provides near real-time access to your Tally data on the go, so users have secured access to familiar, valuable Tally data. The mobile app for Tally is easy to implement and it takes only a few minutes to register and download the software. Licensing fees are affordable for small and medium businesses and the Tally on mobile environment has full support so, if your users have questions, you can get quick, dependable support and answers.

If your organization wants to marry the Tally functionality with business intelligence features, your business users can leverage this functionality as well. Business Intelligence for Tally is cost-effective and provides analytical features and expanded, personalized reporting to support IT, business users and managers alike.

In short, if your organization is curious about Tally and wants to explore its features, there is no time like the present. The Tally Mobile Application makes it easy for users on the road and in the office to leverage and access the data in the system and your enterprise can support current and future requirements with additional features that include BI Tools – all integrated with Tally for ease of access, ease of implementation and ease of use.

Tally Mobile App is the place to start. If you want more information on the mobile app for Tally, Contact Us today.

Original Post: Is Tally the Right Accounting Solution for My Business?

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Integrated R Script and BI Tools Is Here! https://www.elegantjbi.com/blog/2018/11/20/november-20-2018/r-script-integration-with-bi-tools.htm https://www.elegantjbi.com/blog/2018/11/20/november-20-2018/r-script-integration-with-bi-tools.htm#comments Tue, 20 Nov 2018 13:30:45 +0000 https://www.elegantjbi.com/blog/?p=5742 Continued]]> Can I Get Great Self-Serve BI Tools WITH R Integration?Is There a BI Tool that Integrates R Script?

‘R’ is not just a letter in the alphabet! R is a programming language, offered in a free software environment that supports analysts, IT and data scientists in doing tasks that require statistical computing. The R language is very popular and is used in many organizations around the world to support statistical analysis and data mining. When a business implements a business intelligence solution, IT staff, data analysts and data scientists are often put into a quandary. The enterprise is actively using and benefiting from R but the BI tool the business selected forces them to choose between tools to get the job done.

If your team has this problem, you can take heart because there is BI reporting software and Self Service Business Intelligence that allows R users to leverage their favorite tool within the business intelligence software without missing a beat!

This Business Intelligence Solution integrates seamlessly with R and allows users to integrate any R script with input and output configuration both to and from R script and the business intelligence solution. Users have access to a full suite of self-serve visualization and analytical tools to present and share results from R script in a report, on a dashboard, with interactive graphs, and in ad hoc reporting, cross-tab reports and key performance indicators (KPIs). Data scientists and business analysts do not need extensive training or knowledge to use the BI tool, or to leverage the R script integration.

That sounds great, doesn’t it? The last thing an enterprise wants to o is to lose its investment of time and energy in an existing tool – one that the team loves and uses often. If you want to move forward with data democratization, analytical initiative AND ensure that your users can continue to leverage and enjoy the advantages of R, you can start here: Integrated BI Tools

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Smart Data Visualization Gets it Done! https://www.elegantjbi.com/blog/2018/11/19/november-19-2018/what-is-smart-data-visualization.htm https://www.elegantjbi.com/blog/2018/11/19/november-19-2018/what-is-smart-data-visualization.htm#comments Mon, 19 Nov 2018 14:22:34 +0000 https://www.elegantjbi.com/blog/?p=5737 Continued]]> Want Smarter Users? Get Smart Data Visualization!Smart Data Visualization Makes Your Users Smarter!

What on earth is smart data visualization? Is it a computer that actually ‘sees’ data for you and does the analysis? Not quite. Sorry to say that even with advanced analytics that provides smart data visualization, you will have to do SOME work, but fortunately, you will not have to guess!

Smart Data Visualization is a method of Visual Analytics that takes the data you want to analyze and allows business users to easily an intuitively analyze, share and present information without waiting for assistance from visualization experts or programmers. With augmented data discovery tools, business users can cut through that mountain of data to find those elusive nuggets of information that have the most impact on business results. The user can perform analysis with ‘augmentation’ or help from the analytics solution to suggest the best way to visualize the data based on data type, volume, dimensions, patterns and nature of data.

So, the system doesn’t exactly do the thinking for you but it does make the analysis and visualization much easier! 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.

It is not magic! The solution uses cutting-edge technology and machine learning on the backend, and combines it with an intuitive user experience on the front end, so business users can leverage sophisticated tools with suggestions and recommendations on how to personalize data displays to create meaningful views and collaboration.

Machine learning provides guidance to determine the visualization technique that will be the best fit for the data business users want to analyze. That allows for a better understanding of data so users can identify relationships, patterns, trends and opportunities and explore detailed data.

If smart data visualization sounds like something you could use, you can explore the benefits here: Smart Data Visualization

Original Post: Want Smarter Users? Get Smart Data Visualization!

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What is Predictive Analytics and Can it Help You Achieve Business Objectives? https://www.elegantjbi.com/blog/what-is-predictive-analytics-and-can-it-help-you-achieve-business-objectives.htm https://www.elegantjbi.com/blog/what-is-predictive-analytics-and-can-it-help-you-achieve-business-objectives.htm#comments Mon, 19 Nov 2018 11:57:52 +0000 https://www.elegantjbi.com/blog/?p=5734 Continued]]> What is Predictive Analytics and Can it Help You Achieve Business Objectives?The process of predictive analytics has come far in the past decade. No longer is this process the sole responsibility of data scientists or IT staff. Today’s self-serve predictive analytics and forecasting tools are designed to support business users and data analysts alike.

What is Predictive Analytics?

Predictive analytics is the process of forecasting or predicting business results for planning purposes. Predictive analytics employs various analytical and modeling techniques, leveraging historical data and business results to identify crucial relationships, opportunities and risks so that business managers can more accurately predict growth, and competitive and market changes and identify trends and patterns.

A self-serve predictive analytics tool allows the average business user to access sophisticated predictive algorithms without the expertise and skill of a trained data scientist, so users who are not statisticians or predictive algorithm experts, can leverage self-service plug n’ play predictive analytics tools to confidently make business decisions.

Can Predictive Analytics Help You Achieve Business Objectives?

If an organization wishes to be successful in the market and in its competitive efforts, it must accurately forecast and predict the future of its business, plan for new locations and products or services, and optimize internal operations. Predictive analytics can help a business understand the buying behavior of its customers and prospects and plug n’ play predictive and forecasting tools help businesses to create Citizen Data Scientists and establish metrics and goals across the enterprise for uniform execution and understanding of business objectives.

A Gartner report published July 27, 2017 (ID G00326012), entitled, ‘Augmented Analytics Is the Future of Data and Analytics’, predicts that ‘By 2020, the number of users of modern business intelligence and analytics platforms that are differentiated by augmented data discovery capabilities will grow at twice the rate – and deliver twice the business value – of those that are not.’

The benefits of these augmented data discovery and predictive analytic tools is undeniable. Self-Serve, Plug n’ Play Predictive Analysis allows the organization to identify which customers the organization may be at risk of losing, based on purchasing patterns, demographics, geographic and other macro parameters. These predictive tools can identify sets of prospects to be converted to customers, identify price point changes, new product opportunities or new features for existing products, and where to open a new location based on various parameters. Predictive analytics can help the organization to develop promotions, expand marketing channels, and identify high-performance, high-value targets for the business.

While self-serve predictive analytics tools are designed to satisfy the needs of business users, these tools can also be used by skilled data scientists and business analysts for statistical and predictive analytics algorithms, to perform more sophisticated and complex analysis, achieve clarity and provide detailed, meaningful advanced analytics and reporting for the organization.

When an organization employs self-serve predictive analytics tools to forecast and plan business results, it enables users at every level of the organization to participate in, and understand the impact of, activities, tasks and objectives designed to achieve dependable results.

Original Post: What is Predictive Analytics and Can it Help You Achieve Business Objectives?

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Gartner ‘Other Vendors to Consider for Modern Analytics and BI’, October, 2018 Includes Elegant MicroWeb (Smarten) in Category; Other Modern: Asia-Focused https://www.elegantjbi.com/blog/gartner-other-vendors-to-consider-for-modern-analytics-and-bi-october-2018-includes-elegantmicroweb-smarten-in-category-other-modern-asia-focused.htm https://www.elegantjbi.com/blog/gartner-other-vendors-to-consider-for-modern-analytics-and-bi-october-2018-includes-elegantmicroweb-smarten-in-category-other-modern-asia-focused.htm#comments Wed, 14 Nov 2018 11:35:52 +0000 https://www.elegantjbi.com/blog/?p=5731 Continued]]> Gartner 'Other Vendors to Consider for Modern Analytics and BI', October, 2018 Includes Elegant MicroWeb (Smarten) in Category; Other Modern: Asia-FocusedElegantJ BI, an innovative vendor with its Smarten approach to Augmented Analytics and Self-Serve Data Preparation, is pleased to announce that Elegant MicroWeb (Smarten) is included as one of the Other Modern: Asia-Focused Vendors in the Gartner ‘Other Vendors to Consider for Modern Analytics and BI’ Report published on October 29, 2018.

Kartik Patel, CEO of ElegantJ BI says, “Our continued focus on data democratization and on business user access to modern BI tools has evolved in our product roadmap to include ‘Clickless Analytics’ or Natural Language Processing (NLP) Search Analytics. These product innovations provide the foundation for exciting, new, easy-to-use features and self-serve, deep dive functionality that free IT and data scientists to focus on strategic issues, while ensuring an integrated, collaborative view of metrics, activities and tasks that enable business success.”

The Smarten offering is powered by ElegantJ BI, and provides augmented data discovery tools that allow business users to perform early prototyping and hypotheses testing, without advanced skills. Users are supported by an end-to-end enterprise-reporting platform and can perform self-serve data preparation with auto-recommendations and guidance to prepare the data in a manner appropriate to the data type and other considerations.

“The Smarten solution establishes a solid foundation for advanced analytics,” says Patel. “The user has access to dashboards, reports and KPIs, and can perform analytical functions without the assistance of IT, using a browser-based solution that is suitable for all types of mobile devices.”

The Smarten product can be embedded in third-party application using web services and JavaScript APIs, and supports numerous, sophisticated predictive and analytical techniques and integration with R Scripting. The Smarten solution suite includes assisted predictive modeling, smart data visualization and self-service data preparation – all designed to transform business users into Citizen Data Scientists.

More information on the business intelligence and data preparation market is available in the Gartner report: Other Vendors to Consider for Modern Analytics and BI, Analyst(s): Shubhangi Vashisth, Rita Sallam, Cindi Howson, James Richardson, Carlie Idoine. Published: 29 October 2018 ID: G00369983

About Smarten

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

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

Read More: Gartner ‘Other Vendors to Consider for Modern Analytics and BI’, October, 2018 Includes Elegant MicroWeb (Smarten) in Category; Other Modern: Asia-Focused

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White Paper – Paving the Road to Success: From Spreadsheets to Advanced Analytics https://www.elegantjbi.com/blog/white-paper-paving-the-road-to-success-from-spreadsheets-to-advanced-analytics.htm https://www.elegantjbi.com/blog/white-paper-paving-the-road-to-success-from-spreadsheets-to-advanced-analytics.htm#comments Tue, 13 Nov 2018 12:10:11 +0000 https://www.elegantjbi.com/blog/?p=5728 Continued]]> The ‘culture’ of an organization includes habits and processes that are familiar and comfortable. There are many aspects to the success of a culture change within a business organization. When an enterprise decides to move from the silo spreadsheet culture to Advanced Analytics it can go beyond simple spreadsheet analysis and BI reporting with a comprehensive analytical environment that identifies business opportunities, and provides metrics and measurements, predictive modeling and forecasting, and self-serve data preparation tools for business users. By understanding how and why team members employ spreadsheets, the enterprise can develop a strategy to move to a fact-based, secured environment with tools that users will want to adopt.

download-whitepaper

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Is BI for Tally a Reality? https://www.elegantjbi.com/blog/can-i-find-analytics-for-tally.htm https://www.elegantjbi.com/blog/can-i-find-analytics-for-tally.htm#comments Thu, 01 Nov 2018 11:30:56 +0000 https://www.elegantjbi.com/blog/?p=5721 Continued]]> Can I Find Analytics for Tally?Is There Business Intelligence for Tally?

There are lots of Tally users out there, and users are familiar with the solution and find it very valuable. It is great to leverage the power of ad-hoc data mining and visualization and your users are probably dependent on this solution. But, if your organization is like every other business, your reporting and data analytical needs are never-ending, and data-driven, fact-driven analysis and decision-making is an imperative.

Senior managers need to monitor summary results and key performance indicators, and sales managers need information on weekly sales, targets, and receivables. Tally reporting is valuable but wouldn’t it be great to go beyond monitoring and use flexible, personalized tools to gather business intelligence? Wouldn’t it be great to have Tally business intelligence?

With the right Business Intelligence for Tally solution, you can leverage Tally and use pre-built, ready dashboards, with KPI and reporting capability to monitor and manage business parameters and identify the root cause of problems, capitalize on business opportunities and plan and forecast.

Dashboards for Tally are built for a self-serve BI environment so business users can create dashboards, reports and KPIs on their own, without the need for assistance from programmers or analysts. You can explore visual data mining and deep dive into data drill down, drill through, slice and dice your data in tabular and graphs format, and access your data anywhere, anytime on your desktops, laptops, tablets and smart phones. So, you can implement performance driven culture in your organization and be ready for the next stage.

The ideal situation for your business users, managers and IT staff is to leverage the Tally solution you know and love, and build a foundation of business intelligence that is easily integrated for reporting, data sharing and analysis without extensive training, implementation schedules or extreme cost!

Contact Us today to explore the benefits of business intelligence and an out-of-the-box Tally Reporting Tool that will provide more value and results for your users and your organization.

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Advantages of Augmented Analytics! https://www.elegantjbi.com/blog/benefits-of-advanced-analytics.htm https://www.elegantjbi.com/blog/benefits-of-advanced-analytics.htm#comments Wed, 31 Oct 2018 13:21:21 +0000 https://www.elegantjbi.com/blog/?p=5718 Continued]]> Benefits of Advanced Analytics!What Are the Benefits of Augmented Analytics?

Augmented Analytics may sound complicated but the goal is to use all those complicated analytical techniques and algorithms as an underpinning for an advanced analytics solution that is suitable for the skills o an average business user. In other words, the system may be complicated, but the interface and process to gather and analyze information is easy!

Augmented Analytics is designed to encourage user empowerment and user adoption. It enables data sharing and allows the organization to produce fast, dependable insights and improve the value of business analysis across the enterprise, thereby democratizing the use of advanced analytics.

Did you know that the renowned technology analyst firm, Gartner predicts that the number of Citizen Data Scientists will grow five times faster than the number of expert data scientists through 2020? They also predicted 2019 that the amount of advanced analytics produced by citizen data scientists will surpass the data produced by data scientists, and that by 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage of these tools by citizen data scientists.

That’s a lot of data, and a major transition! With the right augmented analytics support, every enterprise can provided guidance and recommendations to make business users more productive and more of an asset to the organization. Advanced Analytics Advantages include strong support for day-to-day business decisions, improved insight and perspective for planning, forecasting and decision-making, quite hypotheses and prototyping (without the risk of a misstep in business), business development agility, timely and accurate support at every level of the organization, and the emergency of power users and citizen data scientists.

And, that’s just the beginning. Your IT and data science teams will also benefit by optimizing their time for critical activities and allowing them to focus on strategic initiatives.

If Augmented Analytics Benefits sounds like the right approach for your organization, Contact Us.

Original Post: Benefits of Advanced Analytics!

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The Tally Mobile App Gives Users Access to Tally On the Go! https://www.elegantjbi.com/blog/can-my-business-access-tally-on-the-road.htm https://www.elegantjbi.com/blog/can-my-business-access-tally-on-the-road.htm#comments Tue, 23 Oct 2018 12:58:46 +0000 https://www.elegantjbi.com/blog/?p=5714 Continued]]> Can My Business Access Tally On the Road?Does Your Organization Use the Tally Solution? How About a Tally Mobile App?

If you are a Tally user, you know that you and your team love Tally, and the inherent power of the features and functionality and the reporting capabilities can support your organization with valuable information, and help you report on and understand day-to-day issues and operational and strategic issues.

If you are NOT a Tally user, you may wish to consider this popular solution for your organization. Tally is on on-premises accounting solution (aka a desktop software application) that is very popular among small and medium sized businesses. It has features that support accounting, finance, inventory and purchasing, sales, banking, manufacturing, job and project costing, point of sale (POS) payroll and other functions. It is beneficial for business users and for managers and provides numerous reporting options.

If your users are often on the road or out of the office and you need to extend access to valuable Tally tools outside the desktop environment, you will be pleased to know that there is a Tally Mobile App that can solve this problem. Tally dashboards are now accessible from anywhere at any time. Tally on mobile devices is flexible and accessible from iOS and Android devices alike, so there is no restriction on your user access. Access is secured so data and users are protected.

Your users will have access to Receivables and Payables, Budgets and Controls, Groups, Ledgers, Cost and Profit Centers, Fund and Cash Flow, Interest Calculations, and more, all conveniently presented and managed via mobile devices, so there is no lost productivity.

You may also wish to consider the integrated functionality of BI tools to combine the Tally functionality with business intelligence features, so your business users can take advantage of this functionality as well. Business Intelligence for Tally is easy to implement, requires little to no training, and provides analytical features and expanded, reporting and business intelligence features to support IT, business users and managers alike.

Tally on Mobile will benefit your users and your organization. If you want more information on the Mobile App for Tally, Contact Us today to find out more.

Original Post: Can My Business Access Tally On the Road?

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BI Tools That Easily Integrate with SAP! https://www.elegantjbi.com/blog/business-intelligence-integration-with-sap-is-easy.htm https://www.elegantjbi.com/blog/business-intelligence-integration-with-sap-is-easy.htm#comments Mon, 22 Oct 2018 13:08:49 +0000 https://www.elegantjbi.com/blog/?p=5711 Continued]]> Business Intelligence Integration with SAP is Easy!Is There Business Intelligence and Reporting for SAP?

If you work in a large enterprise, you are most certainly familiar with SAP®. SAP provides ERP solutions that stretch across the organization and these systems contain data that is crucial to your organization. If your business is like most, you are focused on metrics, business intelligence and data-driven decisions. But, how do you leverage the data contained in your SAP systems to gather, prepare and analyze data and combine that data with other data sources across the enterprise so that your users can clearly see outcomes, discover insight and opportunities and identify issues before they become problems?

A great business intelligence solution is a self-serve, user-centric tool that supports business user adoption and supports users without a major investment in training so users can quickly and easily prepare and analyze data, and visualize and explore data, notate and highlight data and share data with others. When that solution is easily integrated with SAP, your users will have all the features they need in BI and Reporting for SAP. They can access to organizational data and can use that data to analyze and produce reports on their own without dependence on IT or analytical staff.

Organizations that have implemented SAP solutions can leverage familiar tools and expand usage of business intelligence and analytical tools throughout the organization to support hundreds or thousands of business users and democratize data analysis. Organizations can leverage the benefits and simplicity of self-serve BI tools, and access enterprise data stored within the SAP solution. Access through the ElegantJ BI solution assumes enterprise understanding and compliance with SAP licensing terms and conditions.

With the right BI tool, and easy BI Integration with SAP, users can connect to SAP. View and select a BAPI from a list of available BAPI and pass query parameters, then select columns and start building your dashboard or report in no time. Tools designed to support a large data volume and a large user community working from any device.

If you need self-serve business intelligence tools and advanced analytics for SAP, with flexible connections and seamless SAP Integration, Contact Us today.

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Explain NLP, Search Analytics and Clickless Analytics! https://www.elegantjbi.com/blog/search-analytics-nlp-and-clickless-analytics.htm https://www.elegantjbi.com/blog/search-analytics-nlp-and-clickless-analytics.htm#comments Mon, 22 Oct 2018 11:50:53 +0000 https://www.elegantjbi.com/blog/?p=5708 Continued]]> Search Analytics, NLP and Clickless AnalyticsWhat Is: Search Analytics, NLP and Clickless Analytics Explained!

What is Search Analytics? When a business user or analyst employs search analytics, it is for the express purpose of gathering content and data from various sources to achieve an analytical outcome. The data is gathered by ‘searching’, often using natural language processing. The benefits of natural language processing are many.

What is Natural Language Processing? Natural language processing allows those who are not data scientists or programmers to create a search just as one might ask a question of a waiter at a restaurant, or an auto mechanic. Think of the ease with which one can search on a search engine. You might ask, ‘Who holds the world record in the long jump in the Olympics’. When you execute this search, the search engine or data analysis tool will look for the appropriate information and present it in the same natural language the person used to ask the question. So…no statistical mumbo jumbo or encrypted results!

What is Clickless Analytics? Clickless Analytics is a form of search analytics that provides seamless augmented analytics and advanced data discovery, using machine learning and the same natural language processing (NLP) we discussed above. It is presented in a self-serve environment that is easy enough for every business user. Because of the seamless, ease-of-use and guidance provided by the system, business users will adopt the solution, resulting in improved data democratization, and return on investment (ROI). Clickless Analytics democratizes advanced analytics so business users can enjoy the benefits of smart data discovery using natural language searches. Simply enter the query in natural language and let the system do the work, without the requirement for advanced training.

If your business can benefit from Natural Language Processing and Search AnalyticsContact Us.

Original Post: Search Analytics, NLP and Clickless Analytics

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What is Naïve Bayes Classification and How is it Used for Enterprise Analysis? https://www.elegantjbi.com/blog/what-is-naive-bayes-classification-and-how-is-it-used-for-enterprise-analysis.htm https://www.elegantjbi.com/blog/what-is-naive-bayes-classification-and-how-is-it-used-for-enterprise-analysis.htm#comments Thu, 18 Oct 2018 12:59:25 +0000 https://www.elegantjbi.com/blog/?p=5704 Continued]]>

This article will focus on the Naïve Bayes Classification method of analysis.

What is Naïve Bayes Classification?

Naive Bayes is a classification algorithm that is suitable for binary and multiclass classification. It is a supervised classification technique used to classify future objects by assigning class labels to instances/records using conditional probability. In supervised classification, training data are already labeled with a class. For example, if fraudulent transactions are already flagged in transactional data and if we want to classify future transactions into fraudulent/non fraudulent, then that type of classification would be called supervised.

Let’s say we want to classify fruit. Fruit may be considered to be an apple if it is red, round, and about 3″ in diameter. If we have data on 1000 pieces of fruit including features or characteristics of each fruit, we can classify the 1000 pieces of fruit characteristics such as shape, length, color, sweet, sour, etc.

naive bayes classification example

When we look at the table above, we see that: 50% of the fruits are bananas, 30% are oranges, 20% are other types of fruits.

The Naive Bayes classifier assumes that every feature/predictor is independent, which is not always the case, so it is important to understand the type of data you are analyzing before choosing this, or any other, analytical technique.

In order to make the best use of the Naïve Bayes method, the training dataset should be adequate enough to represent the entire population – containing every combination of class label and attributes. Naïve Bayes performs well in cases of categorical input variables compared to numerical variables. For numerical variable, normal distribution is assumed which is a strong assumption.

How Can Naïve Bayes Be Used for Enterprise Analysis?

This technique can be useful in evaluating many applications.

  • Weather Forecasting – Based on temperature, humidity, pressure etc., an organization can predict if it will be rainy/sunny/windy tomorrow.
  • Fraud Analysis – Based on various bills submitted by an employee for reimbursement for expenditures on food, travel, etc., a business can predict the likelihood of fraud.

Use Case – 1

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

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

Use Case – 2

Business Problem: A doctor wants to predict the likelihood of successful treatment of a patient disease or condition based on various attributes of a patient such as blood pressure, hemoglobin level, blood sugar level, the name of a drug given to the patient, the type of treatment given to patient etc. Here the target variable would be ‘past cure status’ and the predicted class would contain values ‘yes or no’ meaning ‘prone to cure/ not prone to cure’ respectively.

Business Benefit: Given the health and body profile of a patient and recent treatments and drugs administered, the probability of a cure can be predicted and changes in treatment and drug recommendations can be suggested if required.

The Naive Bayes is a classification algorithm that is suitable for binary and multiclass classification. Naïve Bayes performs well in cases of categorical input variables compared to numerical variables. It is useful for making predictions and forecasting data based on historical results.

About Smarten

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

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

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

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What is Frequent Pattern Mining (Association) and How Does it Support Business Analysis? https://www.elegantjbi.com/blog/what-is-frequent-pattern-mining-association-and-how-does-it-support-business-analysis.htm https://www.elegantjbi.com/blog/what-is-frequent-pattern-mining-association-and-how-does-it-support-business-analysis.htm#comments Thu, 18 Oct 2018 12:42:13 +0000 https://www.elegantjbi.com/blog/?p=5700 Continued]]>

In this article, we discuss the analytical method known as frequent pattern mining, previously known as ‘association’.

What is Frequent Pattern Mining?

Frequent Pattern Mining (AKA Association Rule Mining) is an analytical process that finds frequent patterns, associations, or causal structures from data sets found in various kinds of databases such as relational databases, transactional databases, and other data repositories. Given a set of transactions, this process aims to find the rules that enable us to predict the occurrence of a specific item based on the occurrence of other items in the transaction.

Let’s look at an example of Frequent Pattern Mining. First, we will want to understand the terminology used in this type of analysis. While there are numerous metrics and factors used in this technique, for this example, we will only consider two factors namely, Support and Confidence.

Support: The support of a rule x -> y (where x and y are each items/events etc.) is defined as the proportion of transactions in the data set which contain the item set x as well as y. So, Support (x -> y)= no. of transactions which contain the item set x & y / total no. of transactions.

Confidence: The confidence of a rule x -> y is defined as: Support (x -> y) / support (x). So, it is the ratio of the number of transactions that include all items in the consequent (y in this case), as well as the antecedent (x in this case) to the number of transactions that include all items in the antecedent (x in this case).

In the table below, Support (milk->bread) = 0.4 means milk and bread are purchased together occur in 40% of all transactions. Confidence (milk->bread) = 0.5 means that if there are 100 transactions containing milk then there will be 50 that will also contain bread.

frequent pattern mining association example

How Does Frequent Pattern Mining Support Business Analysis?

This method of analysis can be useful in evaluating data for various business functions and industries.

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

To understand the value of this applied technique, let’s consider two business use cases.

Use Case – 1

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

Business Benefit: Based on the rules generated, the store manager can strategically place the products together or in sequence leading to growth in sales and, in turn, revenue of the store. Offers such as “Buy this and get this free” or “Buy this and get % off on this” can be designed based on the rules generated.

Use Case – 2

Business Problem: A bank-marketing manager wishes to analyze which products are frequently and sequentially bought together. Each customer is represented as a transaction, containing the ordered set of products, and which products are likely to be purchased simultaneously/sequentially can then be predicted.

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

Frequent Pattern Mining (AKA Association Rule Mining) is an analytical process that finds frequent patterns, associations, or causal structures from data sets found in various kinds of data repositories. This method of analysis can be useful in evaluating data for various business functions and industries and is useful in determining the frequent patterns in buying behavior for various products and services, and in analyzing the relationships among various data points to cross-sell and bundle products, and service offerings, and to understand target audiences.

About Smarten

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

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

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

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What is KNN Classification and How Can This Analysis Help an Enterprise? https://www.elegantjbi.com/blog/what-is-knn-classification-and-how-can-this-analysis-help-an-enterprise.htm https://www.elegantjbi.com/blog/what-is-knn-classification-and-how-can-this-analysis-help-an-enterprise.htm#comments Thu, 18 Oct 2018 12:24:35 +0000 https://www.elegantjbi.com/blog/?p=5696 Continued]]>

In this article, we will discuss the KNN Classification method of analysis.

What is the KNN Classification Algorithm?

The KNN (K Nearest Neighbors) algorithm analyzes all available data points and classifies this data, then classifies new cases based on these established categories. It is useful for recognizing patterns and for estimating. Let’s say we want to determine the likelihood of loan default based on two predictors (age and loan type), with ‘default’ being the target.

We would first determine K = number of nearest neighbors (in terms of distance) to check for class assignment. Then calculate the distance between an instance and all the training instances. Then we would rank the instances by distance and find the nearest neighbors. In other words, we would find the shortest distance from the new instance. After that, we would gather the classes of the nearest neighbors to find the majority. This majority of class is a final predicted value of a class.

Let’s look at an example of KNN Classification, based on two attributes: Acid durability and strength. The goal is to classify a paper tissue into good/bad quality classes.

knn classification example

As the majority class = Good for the three nearest neighbors (two out of three records have class = Good), predicted class of an instance = Good, i.e. quality of a paper tissue having acid durability =3 and strength =7 is good.

How Can KNN Classification Help an Enterprise?

KNN Classification analysis can be useful in evaluating many types of data.

  • Credit/Loan Approval Analysis – Given a list of client transactional attributes, the business can predict whether a client will default on a bank loan.
  • Weather Prediction – Based on temperature, humidity, pressure etc., an organization can predict if it will be rainy/sunny/cold.
  • Fraud Analysis – Based on various bills submitted for reimbursement by an employee for food, travel, and other expense a business can predict the likelihood of fraud.

Let’s look at two use cases to illustrate the benefit of KNN Classification.

Use Case – 1

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

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

Use Case – 2

Business Problem: A doctor wants to predict the likelihood of successful treatment for a new patient based on various attributes such as blood pressure, hemoglobin, blood sugar, the name of a drug given to the patient, the type of treatment given to the patient etc. Here, the target variable would be ‘past cure status’ and the predicted class would contain values ‘yes or no’ meaning ‘prone to cure/ not prone to cure’ respectively.

Business Benefit: Given the health and body profile of a patient and the recent treatments and drugs prescribed for the patient, the doctor can predict the probability and make recommendations on changes in treatment/drugs.

The KNN Classification algorithm is useful in determining probable outcome and results and in forecasting and predicting results, given the existence of multiple variables.

About Smarten

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

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

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

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What is Multiple Linear Regression and How Can it be Helpful for Business Analysis? https://www.elegantjbi.com/blog/what-is-multiple-linear-regression-and-how-can-it-be-helpful-for-business-analysis.htm https://www.elegantjbi.com/blog/what-is-multiple-linear-regression-and-how-can-it-be-helpful-for-business-analysis.htm#comments Thu, 18 Oct 2018 12:06:12 +0000 https://www.elegantjbi.com/blog/?p=5692 Continued]]>

This article describes the analytical technique of multiple linear regression.

What is Multiple Linear Regression Analysis?

Multiple Linear Regression is a statistical technique that is designed to explore the relationship between two or more variables (X, and Y). It is useful in identifying important factors (X,) that will impact a dependent variable (Y), and the nature of the relationship between each of the factors and the dependent variable.

Linear 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.

To better understand multiple linear regression, let’s look at one such analysis of independent variables: Temperature and Humidity, and a target variable (yield).

multiple linear regression example

How Can Multiple Linear Regression Be Helpful for Business Analysis?

If we consider the use cases below, we can see the value of Multiple Linear Regression analysis.

Use Case – 1

Business Problem: An ecommerce company wants to measure the impact of product price, product promotions, and holiday seasonality on product sales.

Input Data: Predictor/independent variables include product price data, product promotions data such as discounts, flag representing presence/absence of seasonality. The dependent variable is product sales data.

Business Benefit: A product sales manager can discover which predictors included in the analysis will have significant impact on product sales. For the predictors with the most impact, the team can make important strategic decisions to meet product sales targets. For instance, if promotions and holiday seasons are significant factors, these factors should be given more focus when devising a marketing strategy.

Use Case – 2

Business Problem: An agriculture production firm wants to predict the impact of the amount of rainfall, humidity, and temperature on the yield of particular crop.

Input Data: Predictor/independent variables include the amount of rainfall during monsoon months, the humidity levels/measurements, and the temperature measurements. The dependent variable is crop production.

Business Benefit: An agriculture firm can understand the impact of each of these predictors on the target variable. For instance, if temperature and rainfall have a positive significant impact but humidity levels have a negative significant impact on crop yield, then crop production can be expected during high temperature and rainfall levels in conjunction with low humidity levels.

Multiple linear regression models are useful in helping an enterprise to consider the impact of multiple independent predictors and variables on a dependent variable, and can be beneficial for forecasting and predicting results.

About Smarten

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

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

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

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What is the Independent Samples T Test Method of Analysis and How Can it Benefit an Organization? https://www.elegantjbi.com/blog/what-is-the-independent-samples-t-test-method-of-analysis-and-how-can-it-benefit-an-organization.htm https://www.elegantjbi.com/blog/what-is-the-independent-samples-t-test-method-of-analysis-and-how-can-it-benefit-an-organization.htm#comments Thu, 18 Oct 2018 11:40:45 +0000 https://www.elegantjbi.com/blog/?p=5687 Continued]]>

This article focuses on the Independent Samples T Test technique of Hypothesis testing.

What is the Independent Samples T Test Method of Hypothesis Testing?

The independent sample t-test is a statistical method of hypothesis testing that determines whether there is a statistically significant difference between the means of two independent samples.

For example, one might use this method of analysis to determine whether the average value of a sedan type of car is significantly different from an SUV type of car. Here the hypothesis would be set as null hypothesis: SUV and Sedan car types have insignificant difference in terms of value, and the alternative hypothesis Value of SUV and Sedan: differ significantly.

Let’s look at a sample of the Independent t-test on two variables. One is a dimension containing two values and the other is a measure.

independent samples t test example

independent samples t test example output

  • At 95% confidence level (5% chance of error): As p-value = 0.041 which is less than 0.05, there is a statistically significant difference between the means of two groups A and B. Mean of Group A is significantly higher than that of Group B.
  • At 98 % confidence level (2% chance of error): As p-value = 0.041 which is greater than 0.02, there is no statistically significant difference between the means of two groups A and B.

How Can the Independent Samples T Test Method Benefit an Organization?

The Independent Samples T Test Method of Hypothesis testing can be used to address various needs in various types of industries and organizations.

  • Medicine – Has the quality of life improved for patients who took drug A as opposed to patients who took drug B?
  • Sociology – Are men more satisfied with their jobs than women? Do they earn more?
  • Biology – Are foxes in one specific habitat larger than in another?
  • Economics – Is the economic growth of developing nations larger than the economic growth of the first world?
  • Marketing – Does customer segment A spend more on groceries than customer segment B?

To better understand the benefits of the Independent Sample T Test Analysis, let’s look at two use cases:

Use Case – 1

Business Problem: An HR Manager wants to find out whether male employees earn more than female employees. Here, the dependent variable would be ‘Total Annual Income’.

Business Benefit: Once the test is completed, a p-value is generated which indicates whether there is a statistical difference between the income of two groups. Based on this value, a manager can easily conclude whether the average income earned by female employees is statistically different from male employees and if the different is statistically significant they can further conclude which gender earns higher or lower salaries.

Use Case – 2

Business Problem: A Grocery store sales manager wants to know whether customer segment A spends more on groceries than customer segment B. Here, the dependent variable would be ‘Purchase Amount’.

Business Benefit: Once the test is completed, a p-value is generated which indicates whether there is a statistical difference between the purchase amounts of both segments. Based on this value, the grocery store manager can decide on its marketing strategies for better sales and increased revenue.

The independent sample t-test is a useful statistical method of hypothesis testing when an organization wants to determine whether there is a statistical difference between two categories or groups or items and, furthermore, if there is a statistical difference, whether that difference is significant.

About Smarten

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

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

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

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What Are Simple Random Sampling and Stratified Random Sampling Analytical Techniques? https://www.elegantjbi.com/blog/what-are-simple-random-sampling-and-stratified-random-sampling-analytical-techniques.htm https://www.elegantjbi.com/blog/what-are-simple-random-sampling-and-stratified-random-sampling-analytical-techniques.htm#comments Thu, 18 Oct 2018 11:13:33 +0000 https://www.elegantjbi.com/blog/?p=5684 Continued]]>

This article discusses the analytical technique known as Sampling and provides a brief explanation of two types of sampling analysis, and how each of these methods is applied.

What is Sampling Analysis?

Sampling is the technique of selecting a representative part of a population for the purpose of determining the characteristics of the whole population. There are two types of sampling analysis: Simple Random Sampling and Stratified Random Sampling.

Let’s look at both techniques in a bit more detail.

Simple Random Sampling:

With this method of sampling, the selection is based on chance, and every item has an equal chance of selection. An example of simple random sampling would be a lottery system.

Example: if we want to come up with the average value of all cars in United States, it would be impractical to find every car and assign a value, and then develop an average. Instead, we might randomly select 200 cars, get a value for those cars and then find an average. The random selection of those 200 cars would be the ‘sample data of entire United States’ cars’ values (population data).

Pros and Cons of Simple Random Sampling:

Pros: Economical in nature, less time consuming.

Cons: Chance of bias, difficulty of getting a representative sample.

Stratified Random Sampling:

Here, the population data is divided into subgroups known as strata. The members in each of the subgroups have similar attributes and characteristics in terms of demographics, income, location etc. 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 from 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.

Example: One might divide a sample of adults into subgroups by age groups, like 18-29, 30-39, 40-49, 50-59, and 60 and above. To stratify this sample, the researcher would then randomly select proportional amounts of people from each age group. This is an effective sampling technique for studying how a trend or issue might differ across subgroups. Some of the most common strata used in stratified random sampling include age, gender, religion, race, educational attainment, socioeconomic status, and nationality. With stratified sampling, the researcher is guaranteed that the subjects from each subgroup are included in the final sample, whereas simple random sampling does not ensure that subgroups are represented equally or proportionately within the sample.

Pros and Cons:

Pros: Economical in nature, Less time consuming, less chance of bias as compared to Simple random sampling, higher accuracy than simple random sampling.

Cons: Need to define the categorical variable by which sub groups should be created. For instance Age group, Gender, Occupation, Income, Education, Religion, Region etc.

Sampling is the technique of selecting a representative part of a population for the purpose of determining the characteristics of the whole population. Sampling is useful in assigning values and predicting outcomes for an entire population, based on a smaller subset or sample of the population. The organization will choose either the Simple Random Sampling or the Stratified Random Sampling method, based on the type of data, the need for accuracy and representation of certain subsets and groups and other analytical requirements of the organization.

About Smarten

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

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

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

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What is Spearman’s Rank Correlation and How is it Useful for Business Analysis? https://www.elegantjbi.com/blog/what-is-spearmans-rank-correlation-and-how-is-it-useful-for-business-analysis.htm https://www.elegantjbi.com/blog/what-is-spearmans-rank-correlation-and-how-is-it-useful-for-business-analysis.htm#comments Wed, 17 Oct 2018 13:35:22 +0000 https://www.elegantjbi.com/blog/?p=5680 Continued]]>

This article describes the Spearman’s Rank Correlation and how it is used for enterprise analysis.

What is Spearman’s Rank Correlation?

Correlation is a statistical measure that indicates the extent to which two variables fluctuate together A positive correlation indicates the extent to which those variables increase or decrease in parallel. A negative correlation indicates the extent to which one variable increases as the other decreases. The Spearman’s Rank Correlation is a measure of correlation between two ranked (ordered) variables. This method measures the strength and direction of association between two sets of data when ranked by each of their quantities.

Let’s compute the Spearman’s Rank Correlation coefficient between two ranked variables X and Y that will illustrate a positive correlation:

spearmans rank correlation example

The closer the value is to ±1, the stronger the relationship between variables. The closer this value is to 0, the weaker the relationship/association is between both variables.

How is Spearman’s Rank Correlation Useful for Business Analysis?

Let’s look at two use cases to see the application and benefit of the Spearman’s Rank Correlation.

Use Case – 1

Business Problem: An educational organization wants to assess students’ rating, based on two different sources of observation.

Input Data: Students’ rating by department chairs and students’ rating by the faculty members.

Business Benefit: This analysis will help the organization to assess the consistency of the ratings provided by the two sources of student ranking and observation. If the ranking given by both observers is similar, the organization can put more faith in the ratings than if the observer ranking vary widely from one to the other. This will also reduce the chance of biased or unethical ranking systems.

Use Case – 2

Business Problem: A market research agency wants to cluster various survey responders into groups, based on the rank correlation output.

Input Data: Responses on brand loyalty containing values on a scale of 1 to 5, where 1 representing disloyal, 2 meaning somewhat disloyal and so on and respondent frequency of brand visits per month (here responders with visits above 10 per quarter can be ranked as “1” , between 8 to 10 as “2” and so on).

Business Benefit: If the values of brand visits and brand loyalty turn out to be positively correlated then the organization can cluster the ongoing frequently visiting customers into “brand loyal” segment and rarely visiting customers into “brand disloyal” segment. Upon identification of these disloyal customers, the organization can focus on converting ‘disloyal’ visitors to ‘loyal’ visitors.

The Spearman’s Rank Correlation is a measure of correlation between two ranked (ordered) variables. This method measures the strength and direction of association between two sets of data when ranked by each of their quantities and is useful in identifying relationships and the sensitivity of measured results to influencing factors.

About Smarten

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

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

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

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What is Binary Logistic Regression Classification and How is it Used in Analysis? https://www.elegantjbi.com/blog/what-is-binary-logistic-regression-classification-and-how-is-it-used-in-analysis.htm https://www.elegantjbi.com/blog/what-is-binary-logistic-regression-classification-and-how-is-it-used-in-analysis.htm#comments Wed, 17 Oct 2018 13:11:22 +0000 https://www.elegantjbi.com/blog/?p=5675 Continued]]>

In this article, we will discuss the Binary Logistic Regression Classification method of analysis, and how it can be used in business.

What is Binary Logistic Regression Classification?

Logistic regression measures the relationship between the categorical target variable and one or more independent variables. It is useful for situations in which the outcome for a target variable can have only two possible types (in other words, it is binary). Binary Logistic Regression Classification makes use of one or more predictor variables that may be either continuous or categorical to predict the target variable classes. This technique helps to identify important factors (Xi) impacting the target variable (Y) and also the nature of the relationship between each of these factors and the dependent variable.

Let’s look at an example of Binary Logistic Regression analysis, involving the potential for loan default, based on factors like age, marital status and income.

binary logistic regression example

binary logistic regression example output

P value for marital status, income and existing loan is <0.05; so these variables are important factors for predicting the likely default/non default class. But the p value for Age is >0.05 which means that Age does not significantly impact the potential for loan default.

How is Binary Logistic Regression Classification Used in Analysis?

Let’s look at two use cases where Binary Logistic Regression Classification might be applied and how it would be useful to the organization.

Use Case – 1

Business Problem: A bank loans officer wants to predict if loan applicants will be a bank defaulter or non defaulter based on attributes such as loan amount, monthly installments, employment tenure, how many times has the applicant been delinquent, annual income, debt to income ratio etc. Here the target variable would be ‘past default status’ and predicted class would include values ‘yes or no’ representing ‘likely to default/unlikely to default’ class respectively.

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

Use Case – 2

Business Problem: A doctor wants to predict the likelihood of a successful treatment of a new patient condition based on various attributes of a patient such as blood pressure, hemoglobin level, blood sugar level, name of a drug given to patient, name of treatments given to the patient etc. Here the target variable would be ‘past cure status’ and the predicted class would contain values ‘yes or no’ meaning ‘prone to cure/not prone to cure’ respectively.

Business Benefit: Given the heath profile of a patient and the recent treatments and drugs taken by him/her, the doctor can predict the probability of a cure and identify necessary changes to treatment and drug recommendations.

Binary Logistic Regression is useful in the analysis of multiple factors influencing a negative/positive outcome, or any other classification where there are only two possible outcomes.

About Smarten

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

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

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

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What is the Paired Sample T Test and How is it Beneficial to Business Analysis? https://www.elegantjbi.com/blog/what-is-the-paired-sample-t-test-and-how-is-it-beneficial-to-business-analysis.htm https://www.elegantjbi.com/blog/what-is-the-paired-sample-t-test-and-how-is-it-beneficial-to-business-analysis.htm#comments Wed, 17 Oct 2018 12:47:48 +0000 https://www.elegantjbi.com/blog/?p=5670 Continued]]>

This article discusses the Paired Sample T Test method of hypothesis testing and analysis.

What is the Paired Sample T Test?

The Paired Sample T Test is used to determine whether the mean of a dependent variable e.g., weight, anxiety level, salary, reaction time, etc., is the same in two related groups. For example, one might consider two groups of participants that are measured at two different “time points” or two groups that are subjected to two different “conditions”. Paired T Test is used to evaluate the before and after of a situation, treatment, condition, etc.

For example, a business might use this technique to understand whether there was a difference in manager salaries before and after undertaking a PhD program. In this case, the metrics would be, “salary”, and the two related groups would be the two different “time points”; that is, salaries “before” and “after” completion of the PhD program.

Here is another example. Let’s say that a medical organization wishes to measure the blood pressure of patient A, and then recommend a treatment plan like medication, diet or exercise to reduce his blood pressure, after which the organization would measure the blood pressure of patient A again. When this process is applied to patients B, C, and D, the results of the analysis for “Before” and “After” can be paired by patient to determine the effects and success rate of these treatments.

Paired Sample T testing can be applied only to two samples: one measure and one time dimension, or a sequence ID to decide the point where analysis will divide the measurement values into pre and post samples. The number of data points for Paired Sample T Tests should be at least 30.

Let’s conduct the Paired Sample T-Test on two variables. One is a time dimension containing months and the other is a measure.

paired sample t test example

Let’s say that the measurement values before April belong to the ‘before’ or ‘pre’ sample and from April belong to the ‘After’ or ‘post’ sampling.

paired sample t test example output

  • At 95% confidence level (5% chance of error): As p-value = 0.041 which is less than 0.05, there is a statistically significant difference between means of pre and post sample values. Therefore, the treatment was effective.
  • At 98 % confidence level (2% chance of error): As p-value = 0.041 which is greater than 0.02, there is no statistically significant difference between the means of pre and post samples. Therefore, the treatment was not effective.

How is the Paired Sample T Test Beneficial to Business Analysis?

This type of analysis can be useful in numerous situations.

  • Medicine – Has the particular medicine or treatment been effective?
  • Marketing – Have sales increased following a particular campaign?
  • Manufacturing – Has the cycle time or defect instance been reduced following a particular process change.
  • Logistics – Has the transit time reduced from supplier to customer following a route change.

Let’s look at two use cases to better understand the benefit of this technique in business analysis.

Use Case – 1

Business Problem: A manufacturing unit manager want to know if there is a statistically significant difference in cycle time pre and post a particular process change. Here the dependent variable would be ‘cycle time values’.

Business Benefit: Once the test is completed, p-value is generated which indicates whether there is statistical difference between cycle time of both time points. Based on this value, a manager can easily conclude whether a particular process change has had a significant impact on cycle time.

Use Case – 2

Business Problem: A grocery store sales manager wants to know whether daily sales have increased after an advertising campaign. Here the dependent variable would be ‘Daily sales’.

Business Benefit: Once the test is completed, p-value is generated which indicates whether there is a statistical difference between the average daily sales- pre and post an advertising campaign. Based on this value, grocery store manager can get to know if the campaign has been effective.

The Paired Sample T Test used to determine whether the mean of a dependent variable and is particularly useful in measuring results before and after a particular event, action, process change, etc. Paired Sample T testing can be applied only to two samples: one measure and one time dimension.

About Smarten

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

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

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

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What is Simple Linear Regression and How Can an Enterprise Use this Technique to Analyze Data? https://www.elegantjbi.com/blog/what-is-simple-linear-regression-and-how-can-an-enterprise-use-this-technique-to-analyze-data.htm https://www.elegantjbi.com/blog/what-is-simple-linear-regression-and-how-can-an-enterprise-use-this-technique-to-analyze-data.htm#comments Wed, 17 Oct 2018 12:11:47 +0000 https://www.elegantjbi.com/blog/?p=5666 Continued]]>

This article describes the Simple Linear Regression method of analysis.

What is Simple Linear Regression?

Simple Linear Regression is a statistical technique that attempts to explore the relationship between one independent variable (X) and one dependent variable (Y). This method helps a business to identify the relationship between X and Y and the nature and direction of that relationship.

Here is a sample of simple linear regression analysis, considering the effects of temperature on crop yield:

simple linear regression example

Simple linear regression is limited to predicting numeric output i.e., dependent variable has to be numeric in nature. This method of analysis can handle only two variables, namely one predictor and one dependent variable.

How Can the Enterprise Use Simple Linear Regression to Analyze Data?

Let’s look at two use cases that illustrate the value of Simple Linear Regression.

Use Case – 1

Business Problem: An eCommerce company wants to measure the impact of product price on product sales.

Input Data: The predictor/independent variable is product price data for last year. The dependent variable is product sales data for last year.

Business Benefit: The product sales manager can identify the amount and direction of product price impact on product sales. The organization can make confident decisions on product pricing and sales targets for a particular product.

Use Case – 2

Business Problem: An agriculture production firm wants to predict the impact of rainfall amounts on the yield of particular crop.

Input Data: The Predictor/independent variable is the amount of rainfall during the monsoon months of the last year. The dependent variable is crop production data during the monsoon months of the last year.

Business Benefit: An agriculture firm can predict the yield of a particular crop, based on the amount of rainfall this year and can plan for alternative crop contingencies if the amount of rainfall is not adequate enough to achieve the targeted crop production.

Simple Linear Regression is a useful analytical technique when an organization wants to explore and analyze existence and nature of a relationship between one independent variable (X) and one dependent variable (Y). The Simple Linear Regression technique is not suitable for datasets where more than one variable/predictor exists.

About Smarten

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

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

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

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What is ARIMAX Forecasting and How is it Used for Enterprise Analysis? https://www.elegantjbi.com/blog/what-is-arimax-forecasting-and-how-is-it-used-for-enterprise-analysis.htm https://www.elegantjbi.com/blog/what-is-arimax-forecasting-and-how-is-it-used-for-enterprise-analysis.htm#comments Wed, 17 Oct 2018 11:50:25 +0000 https://www.elegantjbi.com/blog/?p=5662 Continued]]>

This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis.

What is ARIMAX Forecasting?

An Autoregressive Integrated Moving Average with Explanatory Variable (ARIMAX) model can be viewed as a multiple regression model with one or more autoregressive (AR) terms and/or one or more moving average (MA) terms. This method is suitable for forecasting when data is stationary/non stationary, and multivariate with any type of data pattern, i.e., level/trend /seasonality/cyclicity.

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

ARIMAX is related to the ARIMA technique but, while ARIMA is suitable for datasets that are univariate (see the article, entitled’ What is ARIMA Forecasting and How Can it Be Used for Enterprise Analysis?’). ARIMAX is suitable for analysis where there are additional explanatory variables (multivariate) in categorical and/or numeric format.

To understand ARIMAX Forecasting, let’s look at an example of annual GDP values in India. As shown in the figure below, the plot of these data points suggests that this is non stationary data with an upward trend. This dataset is suitable for the ARIMAX algorithm because there is more than one variable affecting the GDP – in other words, the dataset is multivariate.

arimax forecasting example

How Can ARIMAX Forecasting Be Used for Enterprise Analysis?

Let’s look at a business use case to illustrate the benefit of the ARIMAX Forecasting method.

Business Problem: A company wants to forecast its product line growth for the new couple of years, based on data from the past thirty (30) years. The predictor variables for this use case would be yearly consumer inflation rate, yearly GDP data and yearly population growth rate.

Business Benefit: By analyzing the various combinations of predictor variables, the business can forecast product growth, trends, patterns and seasonality, if any. The enterprise can also identify any gap between the targeted and estimated growth and develop an appropriate strategy to reduce this gap in order to achieve targets and results.

The ARIMAX forecasting method is suitable for forecasting when the enterprise wishes to forecast data that is stationary/non stationary, and multivariate with any type of data pattern, i.e., level/trend /seasonality/cyclicity.

ARIMAX provides forecasted values of the target variables for user-specified time periods to clearly illustrate results for planning, production, sales and other factors.

About Smarten

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

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

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

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What is Karl Pearson Correlation Analysis and How Can it be Used for Enterprise Analysis Needs? https://www.elegantjbi.com/blog/what-is-karl-pearson-correlation-analysis-and-how-can-it-be-used-for-enterprise-analysis-needs.htm https://www.elegantjbi.com/blog/what-is-karl-pearson-correlation-analysis-and-how-can-it-be-used-for-enterprise-analysis-needs.htm#comments Wed, 17 Oct 2018 09:46:34 +0000 https://www.elegantjbi.com/blog/?p=5656 Continued]]>

This article explains the Karl Pearson Correlation method of analysis, and how it can be applied in business.

What is the Karl Pearson Correlation Analytical Technique?

Correlation is a statistical measure that indicates the extent to which two variables fluctuate together. A positive correlation indicates the extent to which those variables increase or decrease in parallel. A negative correlation indicates the extent to which one variable increases as the other decreases. The Karl Pearson’s correlation measures the degree of linear relationship between two variables.

karl pearson correlation analysis

In order to better understand the application of the Karl Pearson Correlation technique, let’s look at a sample analysis showing a positive correlation among data points.

 

karl pearson correlation example

karl pearson correlation example

Like other forms of correlation analysis, the Karl Pearson method measure the strength of relationships between only two variables, without taking into consideration the fact that both these variables may be influenced by a third variable. For example, sale of ice cream and the sale of cold drinks are related to weather conditions. They may show a positive correlation but they are not related to each other, but rather to the weather. Correlation analysis is applied only to numeric values, so if the data is not in numeric form, it must be converted. For example, survey responses like “Very dissatisfied”, “dissatisfied”, “neutral“, “satisfied”, “very satisfied” etc., must be converted to numeric ranking, i.e., 1,2,3,4,5.

How Can the Karl Pearson Correlation Method Be Used to Target Enterprise Analytical Needs?

Let’s take a moment to look at a use case so that we might better understand the application of the Karl Pearson Correlation method of analysis.

Business Problem: A bank wants to find the correlation between income and credit card delinquency rate of credit card holders.

Input Data: The delinquency rate of each credit card customer and the monthly income of each credit card customer.

Business Benefit: The credit card manager can decide on individual credit limit eligibility based on the correlation coefficient value between Income and delinquency rates.

Correlation analysis, and the Karl Pearson Correlation method, can be used to identify negative, positive and neutral correlations between two data points, e.g., the relationship between the age of a consumer and the color of shirt they might purchase or the level of education of a consumer and the delivery mechanism they choose for news and information.

About Smarten

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

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

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

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What is Hierarchical Clustering and How Can an Organization Use it to Analyze Data? https://www.elegantjbi.com/blog/what-is-hierarchical-clustering-and-how-can-an-organization-use-it-to-analyze-data.htm https://www.elegantjbi.com/blog/what-is-hierarchical-clustering-and-how-can-an-organization-use-it-to-analyze-data.htm#comments Tue, 16 Oct 2018 13:17:21 +0000 https://www.elegantjbi.com/blog/?p=5651 Continued]]>

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

What is Hierarchical Clustering?

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

hierarchical clustering example

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

 

hierarchical clustering example

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

How Does and Organization Use Hierarchical Clustering to Analyze Data?

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

Use Case – 1

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

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

Use Case – 2

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

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

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

About Smarten

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

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

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

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

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

What is SVM Classification Analysis?

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

svm classification analysis

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

conduct the SVM classification

sample output svm classification

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

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

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

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

SVM Classification Analysis can be used for many analytical tasks:

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

How Can SVM Classification Analysis Benefit Business Analytics?

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

Use Case – 1

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

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

Use Case – 2

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

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

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

About Smarten

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

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

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

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

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

What is Outlier Analysis?

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

what is outlier analysis

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

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

another illustration of an outlier

How Can Outlier Detection Improve Business Analysis?

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

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

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

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

About Smarten

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

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

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

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

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

What is Decision Tree Analysis?

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

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

Let’s look at two examples:

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

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

example of classification tree analysis

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

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

Let’s look at an example:

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

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

regression trees example

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

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

Use Case – 1

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

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

Use Case – 2

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

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

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

About Smarten

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

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

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

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

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

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

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

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

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

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

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

chi square statistics

This analytical technique can be used for numerous purposes.

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

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

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

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

Use Case – 1

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

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

Use Case – 2

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

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

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

About Smarten

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

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

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

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Are BI Tools Designed for Production Planning & Control? https://www.elegantjbi.com/blog/can-i-find-bi-tools-for-production-planning-control.htm https://www.elegantjbi.com/blog/can-i-find-bi-tools-for-production-planning-control.htm#comments Mon, 15 Oct 2018 12:24:06 +0000 https://www.elegantjbi.com/blog/?p=5626 Continued]]> Can I Find BI Tools for Production Planning & Control?Do I Need BI Tools Designed for Production Planning and Control?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Original Post: Simple Search Analytics to Simplify Advanced Analytics

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

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

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

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

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

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

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

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

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

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

Benefits of Advanced Analytics and Predictive Analytics:

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

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

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

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

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

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

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

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

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

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

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

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

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

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Augmented Analytics Benefits are Numerous! https://www.elegantjbi.com/blog/the-benefits-of-augmented-analytics.htm https://www.elegantjbi.com/blog/the-benefits-of-augmented-analytics.htm#comments Wed, 03 Oct 2018 10:55:14 +0000 https://www.elegantjbi.com/blog/?p=5607 Continued]]> The Benefits of Augmented Analytics!Is Augmented Analytics Easy Enough for the Average Business User?

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

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

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

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

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

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

Original Post: The Benefits of Augmented Analytics!

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

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

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

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

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

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

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

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

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

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

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

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

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

Original Post: Natural Language Processing for the Common Good!

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Original Post: Advanced Data Discovery Can Benefit Every Team Member

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

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

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

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

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

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

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

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

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

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

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

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

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

Original Post: Predictive Analytics for Business Users

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

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

What is Search-Based Analytics?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Original Post: Can Advanced Analytics Create Citizen Data Scientists?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

TRY IT FOR FREE

Download Here

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

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

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

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

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

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

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

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

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

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

Original Post: Establish a Solid Foundation for Advanced Analytics

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

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

What is the FP Growth Algorithm?

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

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

This technique can used to analyze numerous types of datasets.

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

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

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

Use Case – 1

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

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

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

Use Case – 2

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

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

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

About Smarten

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

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

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

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What is ARIMA Forecasting and How Can it Be Used for Enterprise Analysis? https://www.elegantjbi.com/blog/what-is-arima-forecasting-and-how-can-it-be-used-for-enterprise-analysis.htm https://www.elegantjbi.com/blog/what-is-arima-forecasting-and-how-can-it-be-used-for-enterprise-analysis.htm#comments Tue, 14 Aug 2018 12:49:34 +0000 https://www.elegantjbi.com/blog/?p=5527 Continued]]>

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

What is ARIMA Forecasting?

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

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

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

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

What is ARIMA Forecasting?

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

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

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

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

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

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

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

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

About Smarten

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

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

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

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

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

What is the Multinomial-Logistic Regression Classification Algorithm?

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

What is the Multinomial-Logistic Regression Classification Algorithm?

This analysis reveals the following:

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

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

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

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

Let’s look at two use cases:

Use Case – 1

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

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

Use Case – 2

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

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

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

About Smarten

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

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

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

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

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

What is the KMeans Clustering algorithm?

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

What is the KMeans Clustering algorithm?

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

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

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

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

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

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

Use Case – 1

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

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

Use Case – 2

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

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

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

About Smarten

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

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

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

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

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

What is a Descriptive Statistics?

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

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

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

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

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

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

Percentile

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

Quartile

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

Standard Deviation/Variance

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

Skewness

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

Histogram

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

Box Plot

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

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

1) Mean/Median

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

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

2) Mode

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

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

3) Percentile

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

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

4) Quartile

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

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

5) Standard Deviation/Variance

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

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

6) Skewness/Histogram

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

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

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

About Smarten

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

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

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

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

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

What is the Holt-Winters Forecasting Algorithm?

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

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

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

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

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

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

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

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

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

1) Single Exponential Smoothing Use Case

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

2) Double Exponential Smoothing Use Case

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

3) Triple Exponential Smoothing Use Case

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

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

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

About Smarten

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

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

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

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BI Tools for Small, Medium and Large Biz! https://www.elegantjbi.com/blog/business-intelligence-for-every-size-business-and-need.htm https://www.elegantjbi.com/blog/business-intelligence-for-every-size-business-and-need.htm#comments Wed, 08 Aug 2018 07:08:17 +0000 https://www.elegantjbi.com/blog/?p=5500 Continued]]> Business Intelligence for Every Size Business and Need!Small, Medium or Large, Business Intelligence is Critical to Your Business!

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

With so many options and choices for vacation, travel, related and services, an enterprise must effectively manage its business and service value and offer new products and services, and innovation to keep pace with customer needs and market trends. Whether your business is an airline, travel agency, tour bus company, commercial cargo, rental car agency or other related business, you have the same need for data. Analysis of current customer feedback and needs and th