ElegantJ BI Blog https://www.elegantjbi.com/blog Simply Smarter! Thu, 21 Feb 2019 09:32:21 +0000 en-US hourly 1 https://wordpress.org/?v=4.3.18 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 the forecasting of trends are just two of the factors that drive your business. If you are to achieve excellence in customer satisfaction and optimize resources, investments, and performance, you need a simple way to view and analyze data and make confident decisions.

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

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

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

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

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

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

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

Contact Us to explore the benefits of Smart Data Visualization.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

What is Smart Data Visualization?

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

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

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

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

Can Smart Data Visualization Make Business Users Smarter?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Linear Trend

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

Linear Trend

Exponential Trend

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

 

Exponential Trend

Damped Trend

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

 

Damped Trend

Seasonality

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

Seasonality

Irregular/Random Patterns

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

 

Irregular/Random Patterns

Stationary/Stationarity

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

 

Stationary/Stationarity

Cyclical Patterns

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

 

Cyclical Patterns

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

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

About Smarten

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

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

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

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

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

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

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

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

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

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

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

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

This twenty-four (24) article series includes:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

About Smarten

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

What is Social BI?

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

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

How Can Social BI Enable Business Success?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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BI Tools for Hospitality and Entertainment https://www.elegantjbi.com/blog/analytics-for-hospitality-and-entertainment.htm https://www.elegantjbi.com/blog/analytics-for-hospitality-and-entertainment.htm#comments Wed, 25 Apr 2018 14:15:52 +0000 https://www.elegantjbi.com/blog/?p=5378 Continued]]> Analytics for Hospitality and EntertainmentWhat Can Analytics for Hospitality and Entertainment Do For Your Business?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Explore the opportunities of Mobile BI.

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

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

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

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

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

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

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

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

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

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

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

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

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Plug n’ Play Predictive Analytics for Your Business https://www.elegantjbi.com/blog/assistive-predictive-modeling-for-every-business-user.htm https://www.elegantjbi.com/blog/assistive-predictive-modeling-for-every-business-user.htm#comments Tue, 17 Apr 2018 13:29:38 +0000 https://www.elegantjbi.com/blog/?p=5361 Continued]]> Assistive Predictive Modeling for Every Business UserHow Can Assistive Predictive Modeling Help My Business Users?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

What is a Citizen Data Scientist (Citizen Analyst)?

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

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

How Does the Analytics Translator Role Differ?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Contact Us today to find out how to get started.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Social BI will:

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

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

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

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

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

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

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

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

While my friend didn’t really know about binning, clustering or regression, she did grasp the significance of having a tool to guide her through the process of preparing data and help her see the results and the relationships with more clarity. Yes, the system does ‘augment’ and support the user but the user is able to do the work on their own and that is great! It means users don’t have to wait for IT staff or analysts to help them. It means, the business intelligence solution is self-serve!

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

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ElegantJ BI Announces Social BI in Version 4.5 Business Intelligence Solution https://www.elegantjbi.com/blog/elegantjbi-announces-social-bi-in-version-4-5-business-intelligence-solution.htm https://www.elegantjbi.com/blog/elegantjbi-announces-social-bi-in-version-4-5-business-intelligence-solution.htm#comments Fri, 23 Feb 2018 12:56:09 +0000 https://www.elegantjbi.com/blog/?p=5240 Continued]]> ElegantJ BI Announces Social BI in Version 4.5 Business Intelligence SolutionElegantJ BI recently announced the release of version 4.5 of its Business Intelligence and Corporate Performance Management suite, which includes major features and enhancements. The release of ElegantJ BI v4.5 represents another step on the path to enhanced self-serve BI tools to support the transition of business users to collaborative power users with powerful Social BI capabilities. In addition to its many new features and enhancements, ElegantJ BI 4.5 introduces Social Business Intelligence, to support data sharing, rating, collaboration and the emergence of data popularity.

Kartik Patel, CEO of ElegantJ BI says, “Every aspect of modern life involves sharing and social interaction, The Social BI tools and environment are designed to support business users so that they can access a business intelligence and analysis portal and discuss questions, observations and suggestions with other users to analyze and understand a particular dashboard, report or KPI. Users can also rate the data available and any BI content, which can lead to the emergence of popular data and BI content in the business user community.”

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

“As power users, and data analysis, become ‘popular’,” Patel says, “We believe the enterprise will see improved user adoption of BI tools and better understand the types of data that users value, and how to provide, and present, data to improve data leverage, and increase confidence in decisions.

ElegantJ BI is honored to be listed as a Niche BI and Analytics Vendor in Gartner Competitive Landscape: BI Platforms and Analytics Software, Asia/Pacific Report. ElegantJ BI was also listed in the Gartner ‘Market Guide for Enterprise-Reporting-Based Platforms’ as one of Representative Vendors, and in the ‘Gartner Magic Quadrant for Business Intelligence and Analytics Platforms’ Report, in the Other Modern BI Platform Vendors section.

You can experience the power of ElegantJ BI by downloading a free evaluation version at our download page.

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What is an Analytics Translator and Why is the Role Important to Your Organization? https://www.elegantjbi.com/blog/what-is-an-analytics-translator-and-why-is-the-role-important-to-your-organization.htm https://www.elegantjbi.com/blog/what-is-an-analytics-translator-and-why-is-the-role-important-to-your-organization.htm#comments Fri, 23 Feb 2018 09:29:12 +0000 https://www.elegantjbi.com/blog/?p=5237 Continued]]> What is an Analytics Translator and Why is the Role Important to Your Organization?Today, enterprises recognize the critical value of advanced analytics within the organization and they are implementing data democratization initiatives. As these initiatives evolve, new roles emerge in the organization. The newest of these analysis-related roles is the ‘analytics translator‘. As the enterprise considers the relevance of this new role within the business, it is important to understand the responsibilities of an Analytics Translator, and how this role might help the organization to achieve its goals.

What is an Analytics Translator?

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

Analytics Translators do not have to be analytical specialists or trained professionals. With the right tools, they can easily translate data and analysis without the skills of a highly trained data pro.

Using their knowledge of the business and their area of expertise, translators can help the management team focus on targeted areas like production, distribution, pricing and even cross-functional initiatives.

With self-serve, advanced analytics tools, translators can then identify patterns, trends and opportunities, and problems. This information is then handed off to data scientists and professionals to further clarify and produce crucial reports and data with which management teams can make strategic and operational decisions.

Why is an Analytics Translator Important to Your Organization?

IT resources and data professionals are typically in short supply within an organization and, if the enterprise wishes to increase staff, the cost of these highly skilled professionals can be prohibitive. In the average organization, these resources are usually stretched thin and time is wasted on projects that are:

  • Too complex for business team members
  • Conceived or inappropriate for attention at the data scientist or IT level
  • Comprised of incomplete requirements
  • Required for day-to-day or immediate analysis or data sharing initiatives
  • Tactical or low-level operational in nature

The time it takes for a data professional or IT professional to review the project and assign a priority, will take them away from more strategic or more critical tasks and, in the process, the business user may miss day-to-day deadlines or information that is critical to them. Perhaps, the data professional may need more information on requirements, which will further delay the project. There are many examples of unnecessary or inappropriate data analysis requests and many instances where a business user with access to analytical tools might be able to do the work themselves. But, there are even more examples of projects or analytical requirements that fall somewhere between the skills of a business user and the skills of a trained data scientist and just as many examples of poorly understood or poorly translated data analysis that sends a business user off in the wrong direction.

That is where the Analytics Translator comes in. Using her or his knowledge of the industry, the organization, the team and the analytics tools, the translator can play a crucial role in understanding requirements, preparing data and producing and explaining information in a way that is accurate and clear. As this role evolves within your organization, you will find that, by allowing the average business user to work with the Analytics Translator, that business user will become more knowledgeable and skilled in interpreting and understanding data.

The Ideal Analytics Translator

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

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

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

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

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

As self-serve Advanced Analytics and data democratization becomes more common across industries and organizations, the role of the Analytics Translator will also become more important. As a power-user of BI tools and Self-Serve Analytics, the translator functions as a liaison between critical analytical and technical resources and the business user community and ensures that BI tools will be adopted and shared across the enterprise.

In our next article, we will consider the difference between the Analytics Translator and the Citizen Data Scientist or Citizen Analyst.

Original Post: What is an Analytics Translator and Why is the Role Important to Your Organization?

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BI Tools for Supply Chain Management https://www.elegantjbi.com/blog/business-intelligence-for-supply-chain-management.htm https://www.elegantjbi.com/blog/business-intelligence-for-supply-chain-management.htm#comments Fri, 09 Feb 2018 11:48:27 +0000 https://www.elegantjbi.com/blog/?p=5232 Continued]]> Business Intelligence for Supply Chain ManagementHow Can Business Intelligence for Supply Chain Management Help Your Business?

Gathering and analyzing Business Intelligence should not be difficult and it should not be generic. Dashboards should not be restrictive and business users should be able to get what they need, when they need it to make good business decisions and accurately plan. When it comes to the Supply Chain function and industry, business intelligence is more important than ever today.

If a business can cut through the months and years of customization and planning to achieve a robust business intelligence foundation that provides rapid return on investment (ROI) with low Total Cost of Ownership (TCO), it can get the best from its business intelligence and be competitive and successful. The ideal solution provides tools and features that support Business Intelligence for Supply Chain Management and are flexible enough to allow the business to meet its own unique business requirements.

Dashboards for Supply Chain Management should provide a comprehensive, out-of-the-box domain and industry focus that includes KPI for supply chain management, and a reporting tool for supply chain management. With these tools, business users can adopt and use business intelligence right away with minimal training and be empowered to find solutions to problems and see patterns and trends and test hypotheses to meet future market and business needs.

As organizations grapple with the expense, importance and value hidden along the steps in the supply chain, most enterprises depend on supply chain reporting and enterprise analyses to establish goals and metrics, and monitor results – all in an effort to control costs, optimize resources and ensure customer and partner satisfaction.

Business Intelligence Software provides the supply chain manager and other teams and individuals engaged in aspects of the supply chain the ability to create reports and personalized dashboards and alerts to establish objective goals and KPI for Supply Chain Management and monitor shipment systems and other enterprise applications using an integrated, single view of data.

If you want to explore the benefits of out-of-the-box BI Tool for Supply Chain Management, Contact Us today.

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Is Smart Data Visualization Really Smart? https://www.elegantjbi.com/blog/what-makes-smart-data-visualization-different.htm https://www.elegantjbi.com/blog/what-makes-smart-data-visualization-different.htm#comments Fri, 09 Feb 2018 09:42:36 +0000 https://www.elegantjbi.com/blog/?p=5229 Continued]]> What Makes Smart Data Visualization Different?What’s So Great About Smart Data Visualization?

Exactly what is smart data visualization? Are we now dependent on a computer or a piece of software to decide how we see our data? Have we lost control of our reporting, data sharing and data views? The answer to those questions: a resounding ‘NO’. To understand smart visualization, let’s consider the old, traditional data visualization tools. Traditional data visualization is static and, while it may offer a choice of graphs and displays, it is not interactive. In other words, it is not smart. In the traditional scenario, visual illustrations, graphs, and displays are not useful. They don’t help business users to analyze and understand data or, more importantly, to choose the right method to display and report data for decision-making. The right view of data can make all the difference!

Great Software for Data Visualization allows users to gather various data components and tell a story. Whether you are preparing a presentation or sharing data with a team, the story you tell can illustrate a problem, highlight an opportunity or demonstrate a market shift. Augmented data discovery happens when data visualization tools reveal those all-important nuggets of information and make it easier for business users to reach confident decisions.

Your users must be able to interact with Data Visualization Software using guided visualization and recommended data presentation to illustrate underlying data and issues, and quickly, and efficiently produce the best possible visualization based on data type, volume, dimensions, patterns and nature of data, without technical skills or in-depth training.

Let your users leverage tools that recommend displays, views, and plotting to explore the best possible value from underlying data with better options, formats and views to help them understand data. Users can identify patterns and trends and get valuable insight.

Smart Data Visualization allows your users to visualize and plot for certain types of data, based on the nature, dimensions, and trends inherent in the data, with sophisticated tools in an easy-to-use, drag and drop interface, and NO advanced skill requirement.

If you want your business users to be empowered with tools that will make them more of an asset to the organization, take the Smarten approach with Smart Data Visualization, Contact us and discover the possibilities.

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Business Intelligence for Project Management https://www.elegantjbi.com/blog/bi-for-project-management-provides-clarity-and-results.htm https://www.elegantjbi.com/blog/bi-for-project-management-provides-clarity-and-results.htm#comments Tue, 06 Feb 2018 14:15:45 +0000 https://www.elegantjbi.com/blog/?p=5226 Continued]]> BI for Project Management Provides Clarity and ResultsAnalytics for Project Management: Metrics, Clarity and Results!

Every organization manages projects – some are big and some are small and some are the lifeblood of the enterprise. Even with an enterprise project management solution, consulting companies, internal project management teams and other businesses that provide project management services often fail to meet objectives. Your organization needs analytics for project management in order to establish goals and track milestones and project results, or the enterprise cannot learn from its mistakes, forecast resources, predict revenue or improve its competitive position in the market.

Business Intelligence for Project Management enables the project team and project manager to manage milestones and project timelines at the individual project level and across projects so that resource allocation, equipment, reporting and other project factors are optimized. Aggregation of project information enables the team to manage multiple projects for one client or many clients and to drill down to information for an activity, task or individual team member. Project managers can share information, slice and dice, drill down with KPI for Project Management templates to determine the cause of a problem, establish strategy, and evaluate tactical and operational results at a summary level and at a detailed level for an individual task or contributor.

BI for Project Management should provide a flexible, browser-based tool that is accessible from within the enterprise and on the road. Implementation must be fast and simple and training requirements should be minimal – even for the average business user! The right dashboards for project management should be easy to personalize and flexible to view integrated data with an intuitive flexible display that can be personalized to every business user to create a unified view of performance and results.

If you want to explore the benefits of Business Intelligence for Project Management, Contact Us today.

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Explore the Potential of Self-Serve Analytics https://www.elegantjbi.com/blog/advanced-data-discovery-is-easier-and-more-popular-than-ever.htm https://www.elegantjbi.com/blog/advanced-data-discovery-is-easier-and-more-popular-than-ever.htm#comments Mon, 05 Feb 2018 14:18:32 +0000 https://www.elegantjbi.com/blog/?p=5223 Continued]]> Advanced Data Discovery Is Easier and More Popular Than EverSelf-Serve Advanced Analytics is Moving and Growing and Changing!

The Gartner Magic Quadrant is a well-known report and tool both for vendors and for prospective customers. The Gartner Business Intelligence Magic Quadrant offers in-depth analysis of the current market and predictions of where the market is going. There is no doubt that the Business Intelligence market has moved toward Advanced Data Discovery tools and self-serve tools like Self-Serve Data Preparation, and Plug n’ Play Predictive Analysis.

The key to serving this ever-expanding market is to provide tools that are suitable for every business user so that every organization can encourage and sustain and environment where business users can become Citizen Data Scientists. There are important innovations taking place in the self-serve business intelligence market and the evolution of this market is very encouraging and, as business users and organizations embrace these tools, the scope of user creativity has expanded data popularity and resulted in the expansion of social BI.

The Gartner Magic Quadrant for BI and Analytics reflects the changing market and the continuation business user empowerment with Self-Serve Deep Dive Analytics. A user-centric, self-serve approach to business intelligence must also be designed to expand the boundaries of self-serve analytics while ensuring appropriate data governance and security.

To better understand the profound changes in this market and the potential for your organization and business users, it is important to work with an expert team that can help you to achieve your goals and plan for future growth. If you want to dive in and take advantage of the benefits of self-serve solutions, explore the Smarten approach with Data Visualization Tools for Augmented Data Discovery and clear, insightful data visualization.

Contact Us and find out more about the ever-expanding world of self-serve analytics.

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Analytics for Sales Force: A Real Benefit to Your Team https://www.elegantjbi.com/blog/bi-for-sales-team-management-can-change-your-fortune.htm https://www.elegantjbi.com/blog/bi-for-sales-team-management-can-change-your-fortune.htm#comments Fri, 02 Feb 2018 12:01:46 +0000 https://www.elegantjbi.com/blog/?p=5219 Continued]]> BI for Sales Team Management Can Change Your FortuneBI for Sales Force is the Way to Understand and Achieve Results!

Whether you are a Sales Manager or an executive, you really need to understand the impact of sales efforts for every product, every division and every location. There is no way to achieve consistent sales results without up-to-date, accurate information. Analytics for sales force allows Sales Directors and Sales Managers to use data to monitor goals and objectives. Dashboards for sales teams allow you to monitor enterprise sales results at the international, national, regional, local, team, and individual level! With a reporting tool for sales teams, you can manage incentives and set targets and provide accurate sales forecasts and predictions to ensure that the enterprise consistently meets its goals and can depend on the predicted revenue and profits for investment, new product development, market expansion and resource acquisition.

BI for Sales Force provides true, meaningful information by integrating the data from enterprise systems and presenting a single, unified view of results. This view can be customized to meet the needs of a sales manager, a team leader or an individual sales professional – so everyone will have the information they need to manage their role and be accountable for objectives and goals. You can slice and dice data, summarize results and drill down, drill through and analyze information to discover the source of a problem. If a sales region fails to meet the established plan, you can quickly ascertain the root cause of the issue, whether it is product dissatisfaction, poor sales performance, or any one of a number of other sources.

Since the demand generated by your sales force directly affects the production cycle and plan, you will also want to monitor sales targets and objectives with product capacity and production using KPI for Sales Force, so your sales team can satisfy the customer without shortfalls or back orders. If some customers are behind on product payments, you can identify the source of the issue and address that issue with KPI for Sales, before it results in declined revenue and results.

If BI for Sales Team Management sounds like just what you need to get your hands around your sales results, Contact Us to get started.

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Smart Data Visualization Makes Users Smarter https://www.elegantjbi.com/blog/your-users-will-love-smart-data-visualization-tools.htm https://www.elegantjbi.com/blog/your-users-will-love-smart-data-visualization-tools.htm#comments Tue, 30 Jan 2018 13:43:13 +0000 https://www.elegantjbi.com/blog/?p=5216 Continued]]> Your Users Will Love Smart Data Visualization ToolsSmart Data Visualization Guides Users to Clear Data in the Right View!

Imagine if your advanced data discovery tool could take the guesswork out of data preparation and visualization and allow your business users to see past the obvious to find the true insight and subtle patterns, trends and data that will help your business to achieve success. Features like smart data visualization make it easy to see what is happening, where the source of a problem lies and what market opportunities may be ripe for the taking.

The right Data Visualization Tool incorporates cutting-edge technology on the backend, and an understanding of the user experience on the front end, so your business users get a helping hand and are guided with suggestions and recommendations to tell them how best to view their data and to personalize data displays.

Smart Visualization and Data Visualization Software makes it possible for business users to respond to ever-changing needs and alleviates the problem of the organization trying to anticipate exactly what every user needs on a daily basis.

With tools like Auto-Recommend and Auto Suggest the user can view recommended displays, views, and plotting and find the best way to view and use the data to share information and to make crucial, confident decisions. They can see options, formats and alternate views and make choices without the assistance of a technical team member or a data scientist.

If your users need sophisticated tools in an easy-to-use environment, you will want to explore the Smarten Approach with Smart Data Visualization tools for augmented data discovery and clear, insightful data visualization.

Contact us and discover the possibilities for your business users and your organization.

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What is Clickless Analysis? Can it Simplify Adoption of Augmented Analytics? (Part 1 of 3 articles) https://www.elegantjbi.com/blog/what-is-clickless-analysis-can-it-simplify-adoption-of-augmented-analytics.htm https://www.elegantjbi.com/blog/what-is-clickless-analysis-can-it-simplify-adoption-of-augmented-analytics.htm#comments Thu, 25 Jan 2018 11:44:13 +0000 https://www.elegantjbi.com/blog/?p=5213 Continued]]> What is Clickless Analysis? Can it Simplify Adoption of Augmented Analytics? (Part 1 of 3 articles)The concept of Clickless Analytics is one that will be happily embraced by business users and by the business enterprise. The reason is simple! Clickless Analytics allows users to find and analyze information without specialized skills, by using natural language.

In this, the first of a three-part series we discuss Clickless Analytics and how it can simplify user adoption of augmented analytics.

What is Clickless Analytics?

Clickless Analytics incorporates Natural Language Processing (NLP) and takes augmented analytics to the next level with machine learning and NLP in a self-serve environment that is easy enough for every business user. Business users can leverage sophisticated business intelligence tools to perform advanced data discovery by asking questions using natural language. The system will translate that search analytics language query into a query that the analytics platform can interpret, and return the most appropriate answer in an appropriate form such as visualization, tables, numbers or descriptions in simple human language. Clickless Analytics interprets natural language queries and presents results through smart visualization and contextual information delivered in natural language.

Can Clickless Analytics Simplify Adoption of Augmented Analytics?

Clickless analytics, NLP and search analytics provides true data democratization of advanced analytics. Clickless Analytics incorporates NLP within a suite of Augmented Analytics features, leveraging computational linguistics, data mining, and analytical algorithms to provide a self-serve, natural language approach to data analysis. Search Analytics and NLP filters through mountains of data to answer a question in the way a user can understand, thereby simplifying and speeding the decision process and ensuring clarity.

Clickless Analytics suggests relationships and offers insight to previously hidden information so that business users can ‘discover’ subtle, crucial business results, patterns, problems and opportunities. Clickless Analytics provides maximum results and business user access with minimum implementation time and minimal training.

Clickless Analytics and an NLP approach to augmented analytics utilizes a Google-type interface where business users can enter a question in human language, i.e., ‘what is our best selling product in Arizona’ or ‘who is the best performing salesperson in this year as compared to previous year.’ The ease-of-use assures user adoption and the clarity of analysis and reporting achieved by the enterprise results in an environment where the team, managers and executives can achieve rapid, accurate results without the assistance of IT or business analysts.

The evolution of search analytics and the application of NLP search within the confines of a business intelligence solution have allowed the average organization to leap forward with advanced data discovery and the incorporation of these crucial tools into a self-serve environment for user empowerment and accountability. Clickless Analytics and NLP help businesses to achieve rapid ROI and sustain low total cost of ownership (TCO) with meaningful tools that are easy to understand, and as familiar as a Google search. These tools require very little training, and provide interactive tools that ‘speak the language’ of the user.

Clickless Analytics, NLP and Search Analytics are a crucial component of business intelligence and Augmented Analytics, and are essential to business success and to building and sustaining a competitive advantage.

Watch for Part II and Part III of this article series: ‘What is Search Analytics and Can it Improve Self-Serve Data Discovery?’ and ‘What is Natural Language Processing & How Does it Benefit a Business?’

Original Post: What is Clickless Analysis? Can it Simplify Adoption of Augmented Analytics? (Part 1 of 3 articles)

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Measure Social Media and Internet Marketing Results https://www.elegantjbi.com/blog/you-need-bi-for-social-media-and-internet-marketing.htm https://www.elegantjbi.com/blog/you-need-bi-for-social-media-and-internet-marketing.htm#comments Tue, 16 Jan 2018 11:24:46 +0000 https://www.elegantjbi.com/blog/?p=5208 Continued]]> You Need BI for Social Media and Internet MarketingUse BI for Social Media and Internet Marketing to Understand and Measure Results!

Nearly every organization is using social media to promote its products and services and to establish and sustain relationships with prospects and customers. But, how do you know whether your social media outreach and your internet marketing campaigns are working?

Senior management teams and shareholders do not take kindly to guess work or to subjective opinions about business success or applied techniques. If you want objective metrics and tools to help you solve problems, address challenges and capitalize on opportunities, you will want to employ KPT for social media, and implement and leverage a reporting tool for internet marketing. BI for Social Media and Internet Marketing provides valuable analytics that will help you and your team to understand the impact of your social media and internet marketing campaigns and to employ deep dive analytics to drill down and through data and find the root cause of problems.

In order to understand the success of social media marketing, and the trends and patterns in customer buying behavior, a business can use a business intelligence solution to interpret the activity feeds from various social media networks and analytics engines, and analyze visits, clicks, conversions, likes, shares, tags, timing and, also the underlying demographics and geographies of the participants. This analysis will help the business to understand the popularity of a topic or product, and the demographics and geographies of the potential audience, and to track various activities and campaigns to goal conversions.

Most of this data is structured, and can be analyzed by exporting or integrating social media and analytics engines using BI tools, and performing various analytical operations and visualizations with slice and dice, drill down, drill through, filtering and other analytical operations. The content generated and written by users on various social media platforms is not structured, and to access and analyze this data, a business must apply semantic analytics to derive quantifiable data from these unstructured data and make confident decisions. To achieve a true picture of the business and its customers the enterprise must combine structured and non-structured data to derive overall snapshots, direction, trends and performance of social media and internet marketing campaigns.

If you are ready to take control of your Social Media and Internet Marketing, Contact us to find out how we can help!

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Mobile BI: Designed for EVERY Device https://www.elegantjbi.com/blog/2018/01/16/january-16-2018/design-once-use-anywhere.htm https://www.elegantjbi.com/blog/2018/01/16/january-16-2018/design-once-use-anywhere.htm#comments Tue, 16 Jan 2018 06:18:09 +0000 https://www.elegantjbi.com/blog/?p=5205 Continued]]> Design it Right, Design it Once: Great Mobile BI ToolsMobile BI That is Designed for Every Device, Every user, Every Environment!

Design is important! Design skills are used in many industries; everything from appliances and cars to clothing and software interface design. The overall design, the layout, the detail…it is all important. People want to use products that work in many environments. Think about it! It wouldn’t make sense to design a car that was suitable only for people with short legs!

Yet, when it comes to business intelligence solutions, technology vendors sometimes make that mistake. A BI tool might work well on a desktop or a tablet but the interface might not be suitable for a mobile environment or for all the various sizes of smart phone screens, dimensions and resolutions. In today’s crazy, mobile business world, your business can’t afford to use a solution that isn’t accessible to all users on every device.

You need an out-of-the-box solution that doesn’t dictate the device, the screen size or the setting in which you access your critical business intelligence data. You need a solution that is based on a ‘Design Once, Use Anywhere’ approach, so it is responsive, and provides an intelligent adaptive UI to-use on any device, any screen size, at any time and in any place with seamless performance.

You want a high-performance Mobile BI Tool that will work on any size or type of device to provide access to data in an interactive, personalized view and enable data sharing, identification of trends and patterns and user empowerment and accountability.

If this sounds good to you, let me point you in the right direction. Design Once, Use Anywhere

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What is Augmented Data Discovery? https://www.elegantjbi.com/blog/2018/01/15/january-15-2018/augmented-data-discovery.htm https://www.elegantjbi.com/blog/2018/01/15/january-15-2018/augmented-data-discovery.htm#comments Mon, 15 Jan 2018 11:47:04 +0000 https://www.elegantjbi.com/blog/?p=5202 Continued]]> Augmented Data Discovery Supports Every UserWondering if Augmented Data Discovery is for You? Wonder No More!

If you have heard of Augmented Data Discovery (aka Smart Data Discovery), but you don’t quite understand what it is and its value to average business, then we really need to talk!

Augmented Data Discovery allows your business to go beyond data monitoring and helps users discover the more subtle yet crucial factors that affect business success. It identifies hidden issues and patterns within the data so the organization can address challenges, capitalize on competitive and market advantages and plan for the future with more confidence. A well-conceived augmented data discovery solution includes tools and features that are simple enough for business users and allow users with average skills to perform augmented data preparation, drawing data from various repositories to test theories and hypotheses without the assistance of IT or analysts to prepare the data.

Augmented Data Discovery also includes augmented analytical tools that provide data insight. With an advanced augmented data discovery solution, the organization can share, manipulate and present data with clear results and access to sophisticated tools. These tools ensure that the organization makes decisions based on fact rather than opinion and that users get real insight and can act on data quickly and accurately.

With Augmented Data Discovery, the organization can notate and highlight data, share data with other users and most importantly, the enterprise can identify critical ‘ah hah’ data points and information hidden within the data to accurately plan, forecast and solve problems.

Augmented Data Discovery (Advanced Data Discovery) enables gathering, preparation, integration and analysis of data and allows users to address strategic, operational and tactical activities. These easy-to-use tools and solutions provide important support, suggesting relationships, identifying patterns, suggesting visualization techniques and formats, highlighting trends and patterns and helping users and organizations to forecast and predict results.

With augmented data discovery, the enterprise has a simple way to manage data overload and overwhelming workload, and to provide important information and answers to every team member with sophisticated tools in an easy-to-use, drag and drop interface, which requires no advanced skill or knowledge of statistical analysis, algorithms or techniques.

When you understand the value proposition inherent in these tools and the way this type of solution supports business users with sophisticated, easy-to-use tools, it becomes clear just how important this type of analytical tool is to your business. If you want to take advantage of augmented data discovery tools, you can start here: Augmented Data Discovery Tools

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Self-Serve Data Prep Puts the Power in Hands of Your Users https://www.elegantjbi.com/blog/augmented-data-preparation-is-in-your-future.htm https://www.elegantjbi.com/blog/augmented-data-preparation-is-in-your-future.htm#comments Thu, 11 Jan 2018 13:46:25 +0000 https://www.elegantjbi.com/blog/?p=5198 Continued]]> Augmented Data Preparation is in Your Future!Self-Serve Data Preparation is Easy as Pie!

Data preparation tools come in many shapes and sizes and not all are equal. If your business is interested in implementing a self-serve environment where its business users can become a greater asset to the organization, and use data preparation for analytics, you definitely need to consider ease-of-use for your users and flexibility, sophisticated functionality and mobile accessibility for the good of the organization.

When you adopt the right self-serve BI tools, your users can enjoy elegant Self-Serve Data Preparation and ETL for business users. ETL (AKA extraction, transformation and loading) solutions assist the average user and make the process of gathering, compiling, sorting and managing data a much easier task. These self-serve tools allow your business users to engage in ETL without the assistance of IT staff or a data analyst, so that they can see, use and share data more quickly and easily, and understand what that data is illustrating and what decision is best for the organization.

Augmented Data Preparation provides access to crucial data and allows you to connect to various data sources – personal, external, cloud, and IT provisioned You can mash-up and integrate data from disparate data sources and view it in a uniform, interactive display. Your users have access to clear data and your organization can balance agility with data governance to ensure that data security and data access are appropriate and well managed.

Take the Smarten Approach to Self-Serve Data Prep and see how easy data preparation software can be.

Contact us and find out how you can reap the benefits of these tools.

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Self-Serve Data Preparation Doesn’t Mean Traditional ETL is Dead! https://www.elegantjbi.com/blog/self-serve-data-preparation-does-not-mean-traditional-etl-is-dead.htm https://www.elegantjbi.com/blog/self-serve-data-preparation-does-not-mean-traditional-etl-is-dead.htm#comments Thu, 04 Jan 2018 09:42:26 +0000 https://www.elegantjbi.com/blog/?p=5195 Continued]]> Self-Serve Data Preparation Doesn't Mean Traditional ETL is Dead!Extract, Transform and Load (ETL) refers to a process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting. It offers high quality data, which otherwise resides in poorly structured heterogeneous, complicated data sources.

Think of your data warehouse as an active repository that is ever changing as new data sources keep on getting added and existing data sources keep on getting updated. In order to manage the environment, an organization must dedicate resources to monitor and track ETL process, its data flow, data integration and data updates.

It is no wonder that the average enterprise is cautious when any suggestion is made to change the process they have in place. So, the idea of data access by business users may cause concern, and the IT staff may wonder whether this access signals the end of the true ETL process along with the comprehensive maintenance and data governance policies.

But, before the organization discounts the democratization of data and the concept of Self-Serve Data Preparation, it is important to understand the need for (and benefits of) comprehensive ETL policies and maintenance AND the flexibility, agility and accessibility provided by business user access to self-serve data preparation tools.

When an enterprise provides a solid ETL foundation with appropriate monitoring, management, integration processes and skills and adds the flexibility of self-serve data preparation for business users, the organization can acquire good data quickly and offer insight to business users and ultimately to the entire business organization. This approach ensures that the users and the organization can make better business decisions, and make them more quickly. By combining traditional ETL, data warehouse management and technical skills with self-serve data preparation and business user access to ETL and cube management, your organization can balance and optimize quality vs agility to create an agile analytical environment.

Let’s look at the benefits of, and the need for, traditional ETL as well as self-serve data preparation performed by business users.

Give the Power to Business Users

When an organization invests in a business intelligence solution that provides flexible options for data access and management, users can choose the option that is best for a use case scenario. They can use self-serve data preparation tools to connect to data sources like databases, OLAP cubes and spreadsheets using simple wizard based connection interface.

Today’s business users and managers face the daunting task of compiling and analyzing data simply and easily and using that data to make confident decisions. Users need a scalable, high-performance solution that can integrate data from data warehouses, data marts, ERP, best-of-breed applications, CRM and any number of operational system databases, spreadsheets, cloud based data sources and legacy systems and leverage Deep Dive Analytics and self-serve data preparation to compile and analyze data quickly and easily.

The key focus in this scenario is agility. When business users need information they don’t always need exacting, detailed data extraction and analysis. Many times, they are testing a hypothesis or creating a prototype to analyze options or to see how things will play out in a particular set of circumstances, and in those cases, 100% accuracy of data is not necessary. By providing access to data and simple data preparation tools, the organization can keep things moving and allow for empowerment and creativity.

Preserving Traditional ETL

Data Extraction, Data Transformation and Data Management solution provides the foundation for an enterprise to extract, load and transform (ETL) data. While it is important to provide business users with access to sophisticated, easy-to-use tools, the foundational work of ETL must be preserved.

If the integrity of enterprise data and data integration is to be preserved, the data warehouse environment must integrate, and consolidate data from a disparate group of systems and allow for data extraction and compilation across the enterprise. Highly skilled, trained professionals manage these systems with a thorough understanding of the source of the data and how to manipulate and report on that data to create complex reports and provide support for business users and managers.

When combined with in-depth IT and analytical knowledge, this complex data environment and resource pool provides crucial support to refine and cleanse data and to ensure that only the necessary data is extracted and analyzed so that critical resources are not wasted and data is not misinterpreted. There are times when an organization must look to these foundational processes and team members to clarify data and to ensure that hardware, networks, and data sources come together to optimize extraction and reporting and assure appropriate interpretation.

Traditional ETL performed by experts produces great data quality at the right level of aggregation to ensure stable performance and integrity of data governance. Because these tasks are performed by IT certified professionals, the organization can be sure of the reliability and quality of the data. But these resources should be optimized to optimize the special skill set and knowledge of these team members and to prevent competing priorities, and delays in crucial data analysis and timeliness.

By combining the traditional ETL processes and skills with business user access to self-serve data preparation tools, your organization can optimize skilled resources and move quickly to addresses opportunities, challenges and trends.

When the organization needs very precise, comprehensive ETL, your trained team can provide those services. When a business user requires information, but does NOT require exacting precision, self-serve data preparation tools can speed decisions and empower users to analyze data for day-to-day tasks and discussions.

The rationale for any organizational or process change is always the bottom line. When you balance self-serve data preparation with traditional ETL processes and skills, you get the best of both worlds and improve resource optimization and the bottom line. By balancing speed and agility with quality and data governance, the organization can save its skilled resources for the most important projects and business users can prepare and analyze data for those projects and decisions that do not require high-level, dedicated attention.

Original Post: Self-Serve Data Preparation Doesn’t Mean Traditional ETL is Dead!

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Deep Dive Analytics Doesn’t Have to be Scary! https://www.elegantjbi.com/blog/deep-dive-analytics-makes-the-plunge-exciting.htm https://www.elegantjbi.com/blog/deep-dive-analytics-makes-the-plunge-exciting.htm#comments Wed, 27 Dec 2017 12:24:02 +0000 https://www.elegantjbi.com/blog/?p=5191 Continued]]> Deep Dive Analytics Makes the Plunge Exciting!Are You Ready to Take the Plunge? Deep Dive Analytics Is the Treasure!

Some organizations find it difficult to manage data and to take advantage of business intelligence tools. Integrating data sources is necessary, of course, but once the data is integrated, business users, IT staff, data analysts and senior executives must make sense of the data.

If a business is going to make the best use of BI Analytics, it must produce clear, understandable reports that reveal trends and patterns and point to the source of challenges and to market opportunities. Let’s say that you want to find out why a particular branch is not performing. Expense, sales, salaries, customer analytics, profitability, and their combination will be needed for answers, but this is an impossible task in a preconfigured dashboard that provides only simple filtering, drill down and drill up, and similar operations.

What you need is the ability to dive deep into your data! Deep Dive Analytics lets you ask difficult questions and solve complex problems. You can use ad hoc analysis with a large range of data operations to explore and discover value from your data. Deep Dive analytics tools make a visible impact for decision-making, which is a critical need for any manager.

Business users can analyze data for any time period and compare ad hoc time periods. There are no limits on how you use date and time. Deep Dive analytics software allows you to make cross tabs with filters and data operations, allowing you to ask any questions on the fly to make decisions.

If you are ready to take the plunge, you can Deep Dive Into Data and Contact us to find out how we can help!

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Are You Ready for Simpler, Smarter Data Discovery? https://www.elegantjbi.com/blog/augmented-data-discovery-is-simpler-than-it-sounds.htm https://www.elegantjbi.com/blog/augmented-data-discovery-is-simpler-than-it-sounds.htm#comments Mon, 18 Dec 2017 13:26:54 +0000 https://www.elegantjbi.com/blog/?p=5178 Continued]]> Augmented Data Discovery Is Simpler Than it SoundsAdvanced Data Discovery for Every Business User. No Special Skills Required!

There are many facets to Advanced Data Discovery. The processes are sophisticated and the algorithms are exacting, but your business users need not worry about those things. To make the best use of augmented data discovery tools, you need to implement an advanced analytics solution that gives your team sophisticated tools and true insight into data, with flexible, personalized dashboards, and reporting that are easy enough for the average user to adopt.

With tools like smart data discovery, self-serve data preparation, smart visualization and plug n’ play predictive analysis, the average user can answer questions, gain insight, address the root cause of challenges and capitalize on business opportunities  all without the assistance of IT staff or data scientists.

The right Augmented Data Discovery tool allows users to leverage a drag and drop interface, with no advanced skill requirement for statistical analysis, algorithms or technical knowledge, so they can gather, prepare, integrate and analyze data, find patterns and trends, share findings and apply to strategic, operational and tactical activities. With smart data discovery, your users can enjoy the benefits of a truly intelligent solution that suggests relationships, identifies patterns, suggests visualization techniques and formats, highlights trends and patterns, and presents predictions. These auto-suggestions and recommendations allow users to explore data and reveal subtle, important actors and considerations that will change the landscape of your business.

You can explore the Smarten BI Advanced Data Discovery and find out how to make your business users more productive, accountable and empowered.

Contact us and find out how easily and quickly your business can implement these tools in your organization.

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Self-Serve BI Must Support Business Users https://www.elegantjbi.com/blog/self-serve-bi-tools-are-just-the-beginning.htm https://www.elegantjbi.com/blog/self-serve-bi-tools-are-just-the-beginning.htm#comments Fri, 15 Dec 2017 10:53:05 +0000 https://www.elegantjbi.com/blog/?p=5175 Continued]]> Self-Serve BI Tools Are Just the Beginning!Does Your Self-Serve BI Tool Provide Flexibility to Support Social BI?

Self-serve business intelligence tools are no longer new. Nearly every BI tool vendor has an offering in the market. But, not every business intelligence tool is equally useful.

To be truly ‘self-serve’ a Business Intelligence Dashboard must be flexible (not restrictive). It must allow for personalization, rather than being designed (and controlled) by the IT staff or data analysts. No team or individual within the organization can anticipate every business user need and, when business intelligence dashboards are designed to be static, rather than truly interactive, they shackle users and put obstacles in the way of true market and competitive advantage and true analytical insight.

So, while there are many Self-Serve BI Tools offerings out there, you can ReImagine Business Intelligence to give your business users the tools they need, with advanced data discovery, flexible BI reporting that is designed to allow users to create intuitive reports that are easy to share and will encourage social BI and all-important data popularity to enhance productivity and accountability across the enterprise.

If you want to satisfy your self-serve business intelligence requirements and inspire business users to adopt and leverage these tools to the benefit of the team and the organization, you can get started here: Business Intelligence Software

Contact us now and explore the possibilities!

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Predictive Analytics Can Guide the Organization to Success https://www.elegantjbi.com/blog/is-assisted-predictive-modeling-right-for-my-business.htm https://www.elegantjbi.com/blog/is-assisted-predictive-modeling-right-for-my-business.htm#comments Fri, 15 Dec 2017 09:04:40 +0000 https://www.elegantjbi.com/blog/?p=5172 Continued]]> Is Assisted Predictive Modeling Right for My Business?Plug n’ Play Predictive Analysis for Accurate Forecasting!

There are numerous considerations when a business looks at upgrading or acquiring an analytical solution. One very important capability is Put n’ Play predictive analysis. Assisted Predictive Modeling and predictive analysis tools should include sophisticated functionality in a simple environment that is easy for every business user.

Organizations should carefully review solutions to ensure that the prospective solution includes predictive algorithms (associative, decision trees, classification, clustering and other techniques) that will allow business users to explore hypothesis and assumptions using Advanced Data Discovery and provide recommendations to perform early prototyping, and drastically reduce the time and cost of analysis and experimentation.

Predictive Analytics is crucial to forecasting and predicting the future of its market, and a business operation, as well as market competition, and customer buying behavior. Plug n’ play predictive and forecasting tools allow an enterprise to transform business users into Citizen Data Scientists by enabling users with sophisticated predictive algorithms and allowing these users to leverage the tools without the expertise and skill of a trained data scientist.

When users are given dynamic, powerful tools, it is easier for them to achieve goals, share information, make confident decisions, understand trends and quickly adjust processes and activities to achieve the best results.

Explore the Smarten approach to plug n’ play predictive analytics and take the shackles off your business users.

Contact us and find out how easily and quickly your business can implement these tools in your organization.

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You CAN Have Advanced Data Discovery and Mobile BI Tools https://www.elegantjbi.com/blog/mobile-bi-tools-must-include-advanced-analytics.htm https://www.elegantjbi.com/blog/mobile-bi-tools-must-include-advanced-analytics.htm#comments Wed, 13 Dec 2017 11:18:32 +0000 https://www.elegantjbi.com/blog/?p=5169 Continued]]> Mobile BI Tools Must Include Advanced AnalyticsMobile, Advanced Analytics: The True Way Forward!

When you decide to implement mobile business intelligence, it is usually because you want seamless access to crucial tools so that your team can perform important tasks in the office and on the road, and share data that will help them make important decisions. Mobile business intelligence must be easy to access and easy to use. A vendor should not dictate the device, the screen size or the setting in which you access your business intelligence data. The solution must be responsive and adaptive and the UI must be intuitive and interactive, no matter what device your users choose to use to access that solution.

In addition to providing seamless mobile performance, today’s business intelligence solutions should also enable advanced analytics, and predictive analytics.

These BI tools must support business users and the organization with personalized dashboards and reporting, elegant graphs and charts, and key performance indicators (KPIs) that display seamlessly on every type and size of device. Additionally, the solution must provide advanced analytics that are sophisticated enough to allow business users to see and use data with clear insight, yet simple enough to allow the average business user to take advantage of the BI tools.

Look for business intelligence that is truly mobile, and features responsive, adaptive UI performance to accommodate use in a desktop, tablet or smart phone environment, and provides augmented data discovery, self-serve data preparation, and predictive analytics for business users. In other words, make it mobile and make it meaningful!

If your business needs a competitive advantage, you can find it here: Mobile BI Tools and Advanced Analytics

Contact us now and find out how mobile BI tools and advanced analytics can advance your business success.

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Uncover the Data ‘Nuggets’ with Smart Visualization https://www.elegantjbi.com/blog/full-insight-for-business-users-with-smart-visualization.htm https://www.elegantjbi.com/blog/full-insight-for-business-users-with-smart-visualization.htm#comments Wed, 13 Dec 2017 07:34:01 +0000 https://www.elegantjbi.com/blog/?p=5166 Continued]]> Full Insight for Business Users with Smart VisualizationSmart Data Visualization Helps Your Users to Gain Insight!

Organizations that are currently considering and upgrade or a new business intelligence solution, should focus on advanced analytics capability that is simple enough for its business users to improve accountability and empowerment and cascade information throughout the organization to improve planning, results and competitive advantage. Included in this solution is Smart Data Visualization. This feature suggests the best options for visualizing and plotting for a particular set or type of data, based on the nature, dimensions and trend of data. Tools like these can allow the average business user to leverage sophisticated tools without the knowledge and skill of an IT pro or a data scientist.

Smart visualization and augmented data discovery tools allow users to gather data from various sources clarify a problem, identify an opportunity or make a decision. To complete this type of analytics, the data visualization tool must be flexible and interactive enough to allow for guided visualization and recommend the data presentation technique that will best illustrate data, trends, patterns, challenges and opportunities.

Smart Visualization allows the enterprise and its users to select and display data in a way that assures accurate interpretation and assumes no technical skill or need for in-depth training. Smart Data Visualization allows your business users to analyze, share and present information without waiting for technical or data visualization expert assistance.

Take the Smarten approach to Smart Visualization. Contact us and find out how we can help your business and your users to leverage these dynamic, powerful tools with easy-to-use, cost-effective solutions that are quick to implement.

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BI Tools for Hospitality and Entertainment Businesses https://www.elegantjbi.com/blog/hospitality-and-entertainment-pros-need-dynamic-bi-tools.htm https://www.elegantjbi.com/blog/hospitality-and-entertainment-pros-need-dynamic-bi-tools.htm#comments Mon, 11 Dec 2017 13:59:45 +0000 https://www.elegantjbi.com/blog/?p=5162 Continued]]> Hospitality and Entertainment Pros Need Dynamic BI ToolsAre There Specific BI Tools for Hospitality and Entertainment Businesses?

One thing we all know about the hospitality and entertainment industry is that it is very competitive and that consumers have a lot of options and choices. In this competitive market, it is more important than ever to have the data and information that will help you make business decisions about new products, new channels, custom behavior and local and global competition.

If you own, manage or work in the hospitality or entertainment industry, your team needs a means to gather and analyze data to identify trends and patterns and make strategic and operational decisions that will result in business success. BI for hospitality and entertainment should include out-of-the-box tools that are easy for business users and easy to implement and adopt. Dashboards for hospitality and analytics for entertainment industry needs should not require a lot of customization or the assistance of IT staff or data scientists. These industries do not have time to waste! Every member of these teams needs simple business intelligence and analytical tools that can be part of their daily process and activities.

Whether your business is a hotel, airline, pub, restaurant, travel agency, or entertainment complex, you have the same need for data. Analysis of current customer feedback and needs and the forecasting of trends are just two of the factors that drive your business. If you are to achieve excellence in customer satisfaction and optimize resources, investments, and performance, you need a simple way to view and analyze data and make confident decisions about facilities usage, supplies, schedules, resource allocation, training, hiring, sales, marketing campaigns, revenue, billing, demographics and customer profiles, competition and more!

If your business needs dynamic BI tools, look no further Business Intelligence for Hospitality and Entertainment.

Contact us to find out how your team can benefit from these tools and solutions.

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Augmented Data Discovery Provides Users with Crucial Answers https://www.elegantjbi.com/blog/automated-analytics-tool-for-user-and-business-success.htm https://www.elegantjbi.com/blog/automated-analytics-tool-for-user-and-business-success.htm#comments Mon, 11 Dec 2017 12:53:48 +0000 https://www.elegantjbi.com/blog/?p=5158 Continued]]> Automated Analytics: A Tool for User AND Business SuccessAdvanced Data Discovery Can and Should Be Available to All!

Advanced Data Discovery allows business users to perform early prototyping and to test hypothesis without the skills of a data scientist. Advanced Data Discovery ensures data democratization and can drastically reduce the time and cost of analysis and experimentation.

With the right Data Discovery Software, business users have the freedom to imagine and leverage data without limiting the user’s ability to analyze and visualize data with restricted views and dashboards.

The concept of advance analytics and advanced data discovery can and should include augmented analytics and augmented data discovery. These tools are designed to simplify the user experience by providing easy-to-use guides and sophisticated (yet simple) tools that will lead the user to use the right technique for analysis and to present the data they are analyzing in the right format to make the results as clear as possible.

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

The Smarten approach to advanced data discovery can help your organization and business users with simple tools that are cost-effective and easy to implement and use.

Contact us and find out how easily and quickly you can satisfy your analytical needs.

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What is Self-Serve Data Preparation and How Can It Support Business Users? https://www.elegantjbi.com/blog/what-is-self-serve-data-preparation-and-how-can-it-support-business-users.htm https://www.elegantjbi.com/blog/what-is-self-serve-data-preparation-and-how-can-it-support-business-users.htm#comments Fri, 08 Dec 2017 06:19:36 +0000 https://www.elegantjbi.com/blog/?p=5154 Continued]]> What is Self-Serve Data Preparation and How Can It Support Business Users?Self-Serve Data Preparation is the next generation of business analytics and business intelligence. Self-serve data preparation makes advanced data discovery accessible to team members and business users no matter their skills or technical knowledge.

What is Self-Serve Data Preparation?

In the past, preparing data for analysis was a time-consuming process, a task that was relegated to the IT team and involved complex tasks like Data Extraction, Transformation and Loading (ETL), access to data warehouses and data marts and lots of complicated massaging and manipulation of data across other data sources. Today’s organization does not have the time or the money to provide IT resources or to satisfy the day-to-day data inquiry requirements of its ever-changing organization and its business market.

Enter Self-Serve Data Preparation, a set of sophisticated tools, designed for ease-of-use and access by business users in a self-serve environment. Self-Serve Data Prep provides business users with powerful capabilities to explore, manipulate and merge new data sources – all without the assistance of IT staff.

Self-service data preparation solutions make it possible for business users to access data, integrated from multiple sources and to prepare that data using drag and drop features and a simple, intuitive interface. Users can perform data preparation, test theories and hypotheses, and prototype to test price points, analyze changes in consumer buying behavior, anticipate changes in the competitive landscape and otherwise leverage data for analytical purposes, all without the assistance of IT or analysts.

Self-Serve Data Preparation solutions provide tools that are flexible so the user is not restricted to dashboards or interfaces that are designed by someone else. The user can use the power of self-serve data preparation to compile and prepare data, test hypotheses, visualize and share data, drill-down and drill-through data using selected data elements to prepare for and execute analysis.

How Can Self-Serve Data Preparation Support Business Users?

The best way to support business users is to give them tools that are flexible enough to be personalized to their needs, their role and the issues of the day. No matter how hard IT teams and analysts try, they cannot anticipate every possible requirement and the new, rapidly changing business landscape of today makes it impossible for business users to know what they will need tomorrow.

A May 24, 2016 Gartner report (ID G00274731) , entitled ‘Embrace Self-Service Data Preparation Tools for Agility, but Govern to Avoid Data Chaos’, offers the prediction that, ‘By 2017, most business users and analysts in organizations will have access to self-service tools to prepare data for analysis.’

As the market shifts and more and more organizations adopt these crucial tools, it must be noted that, those businesses that do not take advantage of self-serve data preparation are likely to fall behind the competition and the market.

With Self-Serve Data Preparation tools business users can gain insight into buying behavior, analyze supply chain issues, identify new markets, locations and opportunities and anticipate resource and training needs using selected data to easily illustrate results and uncover patterns and trends.

With self-serve data prep, business users can avoid the delays and out-of-date, inaccurate reports that sometimes result from incomplete requests or overworked IT teams. The business users gets access to data from numerous data sources and can easily select data, execute searches and analyze data to make timely, accurate decisions. The organization achieves impressive ROI and TCO, and better business results, and the business user is empowered to get the job done right.

Supporting business users with powerful tools that are meaningful to their role and goals is critical to every organization. Self-Serve Data Preparation takes the complexity out of the data prep and analytical process and results in better data discovery.

Original Post: What is Self-Serve Data Preparation and How Can It Support Business Users?

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Business Intelligence for Retail Provides Real Results https://www.elegantjbi.com/blog/bi-for-retail-out-of-the-box-access-for-business-users.htm https://www.elegantjbi.com/blog/bi-for-retail-out-of-the-box-access-for-business-users.htm#comments Wed, 06 Dec 2017 07:21:13 +0000 https://www.elegantjbi.com/blog/?p=5150 Continued]]> BI for Retail: Out-of-the-Box Access for Business UsersAnalytics for Retail: Mobile, Accessible, Easy for Every User!

Retail is changing, and it is changing fast! Online buying is having a significant impact on brick and mortar and customer loyalty has changed dramatically. Consumers now have more options and they are leveraging those options to find the best price and the best value.

Business Intelligence for Retail is more important than ever! BI for retail can provide a real competitive advantage and allow businesses to rapidly make changes to capitalize on opportunities and trends and to identify and resolve issues before they have a negative impact on revenue or customer satisfaction.

Retailers need complete insight into how actual results compare to plan numbers, revenue by store, location, region, product line and other factors. The retail enterprise must carefully manage operational costs to be sure these costs are optimized. Hours of operation, resource allocation, hiring, training, facilities management and other factors impact revenue and the bottom line.

Analytics for Retail is imperative. One must understand buying behavior, customer requirements, exact price points for products, shipping and inventory timing and changing trends. Getting the right product on the store shelves at the right time, for the right price is what retail is all about. Choosing the right location and mix of web and brick and mortar facilities is also important. If the customer cannot find your business, they cannot consider your products.

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

If your retail business needs easy-to-use, mobile BI tools for business users, analysts, executive teams and IT staff, you can find it here: Business Intelligence for Retail

Contact us now and find out how your retail business can obtain a competitive advantage.

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Assisted Predictive Modeling Guide Users Through the Maze https://www.elegantjbi.com/blog/can-assisted-predictive-modeling-work-for-business-users.htm https://www.elegantjbi.com/blog/can-assisted-predictive-modeling-work-for-business-users.htm#comments Mon, 04 Dec 2017 13:11:39 +0000 https://www.elegantjbi.com/blog/?p=5147 Continued]]> Can Assisted Predictive Modeling Work for Business Users?What is Assisted Predictive Modeling?

Anything that can help your business users to understand, interpret and analyze data is a help! Users have many tasks to perform in a given day and while analysis may not be their forte, they definitely need clear, concise data to share, to make decisions and to see opportunities, challenges and patterns.

To be a positive asset to the business, your business users must be able to accurately plan and forecast everything from budgetary needs to team members and resources, new suppliers, new locations, new products, etc.

Assisted Predictive Modeling is a great way to provide support for your users and your organization. Users get sophisticated tools and algorithms and suggested techniques, and formats, to accurately analyze and understand data in a way that is meaningful to their role and to the type of data and audience with whom they will share that data.

Assisted Predictive Modeling and Predictive Analysis Tools are key to swift analysis and a comprehensive understanding of data across the enterprise, in every department and business unit. Yes, plug n’ play predictive analysis must truly be plug and play! It must not require attention from IT or a data scientist. If you want your business users to adopt and use these tools, you must select predictive analytics tools that are simple; tools that will quickly reveal the trends and allow users to plan and forecast with precision and accuracy. Predictive analysis does not have to be tortuous or confusing.

The Smarten approach to assisted predictive modeling and plug n’ play predictive analytics allows users to forecast and predict results with true insight into the business and the market.

Contact us and find out how easily and quickly you can satisfy your data preparation and data analysis needs.

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Key Performance Indicators for All Users https://www.elegantjbi.com/blog/kpi-tools-are-easy-to-use-and-produce-consistent-results.htm https://www.elegantjbi.com/blog/kpi-tools-are-easy-to-use-and-produce-consistent-results.htm#comments Thu, 30 Nov 2017 12:53:30 +0000 https://www.elegantjbi.com/blog/?p=5143 Continued]]> KPI Tools Are Easy to Use and Produce Consistent ResultsMultidimensional KPIs that are Easy to Use and Produce Consistent Results!

Measuring Key Performance Indicators (KPIs) are important to every business, no matter how small or large. In the past, the process of identifying and measuring KPIs was daunting and it required the involvement of analysts and other experts. Today, BI tools and solutions provide multidimensional KPI analytics and feature tools that allow business users to leverage KPI Analytics without the assistance of IT staff or data scientists.

Once the organization establishes appropriate KPIs, it can cascade operational and strategic KPIs to the staff and thereby allow the entire team to work toward common goals and to see how each person’s department, role and team affect outcomes. Team members can also monitor metrics to understand how the day-to-day activities are helping to achieve goals and to further explore options to address issues and capitalize on opportunities.

KPI software and KPI dashboards should be part of every team member’s toolkit. The right KPI tool allows users to define KPIs with an easy to use, powerful expression engine and set polarity, frequency, and threshold levels using a browser based interface. Users can establish and monitor KPIs at the individual, team, department, division and company level. Defined KPIs are not limited itself to static monitoring. KPI Analytics provide interactive options to change frequencies, dimension breakdowns and drill down to further analyze trends, and reasons for performance and non performance.

If you are looking for out-of-the-box KPI functionality that will ensure swift user adoption, you can find the solution here: Multidimensional KPI

Contact us now and let us help you achieve your analytical goals and meet objectives.

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Cross-Tab Reporting is More Relevant Than Ever https://www.elegantjbi.com/blog/2017/11/22/november-22-2017/cross-tab-analysis.htm https://www.elegantjbi.com/blog/2017/11/22/november-22-2017/cross-tab-analysis.htm#comments Wed, 22 Nov 2017 13:26:18 +0000 https://www.elegantjbi.com/blog/?p=5137 Continued]]> Don't Call Cross-Tab Reporting Old School!Cross-Tab Analytics Proves Its Value as a Relevant, Powerful BI Reporting Tool!

When it comes to business data and business intelligence, no one wants to get caught by surprise. If you are missing data, or if you don’t have the ability to get a 360° view of your data, you just know you are going to miss something and that something will probably be very important.

When I talk to others about Business Intelligence Reporting Tools, and I mention cross-tab reporting, people often say that cross-tab is ‘old school’. They talk about it in the same breath as spreadsheets and file cabinets. But, it is important to recognize the value of this kind of BI reporting tool and the insight it provides. Not every traditional tool should be left behind in our rush to the future. If a tool works, we should keep it and, within the framework of new BI reporting software, we can definitely make a place for cross-tab reporting!

What you want is to see your information in the format that makes the most sense for the type of data and the situation. BI objects such as dashboards, reports, cross-tab or graphs allow users to stay abreast of issues, opportunities, financials, sales and other metrics. Using cross-tab, in particular, allows you to analyze the relationship among two or more variables and summarize the data in rows and columns to illustrate the intersection points. I am sure we would all agree that understanding the relationships between data points can help you manage your business and identify patterns, trends, and sensitivity for things like pricing, etc.

Cross-tab analytics offers a 360 degree view of multi-dimensional data with ad-hoc queries, a clear view of corporate performance and the ability to slice and dice data, drill down, drill up and drill through to find the most relevant Information. It also provides easy-to-use complex data operations, summary operations, time series functions, filters and custom column expressions engine to help users make prompt, effective business decisions. Cross-tab analysis provides pivot table and OLAP Analysis to any user.

So, the next time you are inclined to dismiss cross-tab reporting as ‘old school’, stop and think about the value it offers and keep it on your list of ‘go to’ tools for a 360° view of your business data.

If you want better Business Intelligence Reporting Tools, don’t wait. Explore the benefits here: BI Reporting Tools

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What is Advanced Analytics and How Can it Advance Your Organization? https://www.elegantjbi.com/blog/what-is-advanced-analytics-and-how-can-it-advance-your-organization.htm https://www.elegantjbi.com/blog/what-is-advanced-analytics-and-how-can-it-advance-your-organization.htm#comments Wed, 22 Nov 2017 11:56:01 +0000 https://www.elegantjbi.com/blog/?p=5134 Continued]]> What is Advanced Analytics and How Can it Advance Your Organization?The term ‘Advanced Analytics’ can seem daunting to the average business user and even to the average business enterprise but the process is not as complex as it may seem.

What is Advanced Analytics?

Advanced Analytics is comprised of numerous sophisticated analytical techniques, designed to parse, explore and analyze data and produce results to support business decisions. Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member. Advanced Analytics provides a 360 degree view of data from data marts, data warehouses, best-of-breed, legacy systems and other data sources. The analytical techniques and algorithms are designed to identify patterns and trends, pinpoint issues and the root cause of these issues and allow the enterprise to capitalize on opportunities and accurately plan for the future.

The concept of Advanced Analytics and cutting-edge BI solutions has evolved to include IT-enabled analytic processing and data manipulation and management, built on a foundation of flexible, scalable architecture that allows business users to perform in-depth analysis across the entire spectrum of analytical tasks from access to integrated data from multiple sources to data preparation, analysis, drill-down, reporting and sharing.

Self-Serve Advanced Analytics provides a roadmap to guide you through a maze of organizational data with tools and models that will bring together data from disparate sources and enable sophisticated yet simple analytics. These tools allow the enterprise to establish and monitor key metrics and to objectively assess results. But, perhaps the most important aspect of advanced analytics is the flexibility of these tools and the ability to go beyond restricted reporting or standardized analytical reports and processes to design and execute unique analysis that will address a particular issue or question for a specific project, or to address a newly discovered problem or question. These self-serve tools allow business users to dive deep into data and enable analysis and reporting that is as unique and creative as the user.

How Can Advanced Analytics Advance Your Organization?

With the right advanced analytics solution, your enterprise does not need advanced analytical skills. The advent of new and improved self-serve business intelligence solutions means that advanced analytics is easier than ever for the average business user to adopt and leverage. Your business users can perform advanced analytics, using sophisticated tools in an easy-to-use, drag and drop interface, with no advanced skill requirement for statistical analysis, algorithms or technical knowledge. Empowering your users to gather, prepare, integrate and analyze data, find patterns and trends, share findings and apply to strategic, operational and tactical activities means that users are more accountable for results and that the organization can more easily cascade objectives and goals and allow users to see and understand how their role and activities affects these objectives and goals. Your enterprise can go beyond data monitoring to ‘discover’ subtle and important factors that will identify issues and patterns, and help the organization capitalize on opportunities.

Advanced Analytics allows the organization to leverage Advanced Data Discovery features and enjoy the benefits of a truly intelligent solution that suggests relationships, identifies patterns, suggests visualization techniques and formats, highlights trends and patterns, and presents predictions.

Tools like Plug n’ Play Predictive AnalysisSmart Visualization and Self-Serve Data Preparation allow the enterprise to transform the average business user into a Citizen Data Scientist and to better plan and forecast and make confident decisions. Your organization can test theories and hypotheses in a risk-free environment without making a market misstep and predict the outcome of pricing changes, new product introductions, supplier changes, added locations and other crucial proposed changes. With the power to test competitive and market strategies, management and business users can see and leverage the hidden value within the organization and find the small problems before they become large issues.

In the Gartner report entitled, ‘Technology Insight for Modern Analytics and Business Intelligence Platforms’, published on September 12, 2017 (ID: G00331857), Gartner analysts predicted that, by 2020, 50% of analytic queries will be generated using search, natural-language processing or voice, or will be automatically generated.

Clearly, the trend toward self-serve Advanced Analytics is going to build in popularity as organizations recognize the significant benefits to the business user and the enterprise.

Advanced Analytics is an invaluable set of tools to help the enterprise engage team members, resolve issues and capitalize on market and competitive opportunities using factual, objective metrics and data for strategic, operational and tactical results.

Original Post: What is Advanced Analytics and How Can it Advance Your Organization?

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Predictive Analytics for Business Users https://www.elegantjbi.com/blog/2017/11/15/november-15-2017/predictive-analytics-for-business-users.htm https://www.elegantjbi.com/blog/2017/11/15/november-15-2017/predictive-analytics-for-business-users.htm#comments Wed, 15 Nov 2017 07:27:12 +0000 https://www.elegantjbi.com/blog/?p=5130 Continued]]> Assisted Predictive Modeling Is Easier than it SoundsLeave it to the Software! Predictive Analytics for the Faint of Heart!

Assisted Predictive Modeling, Predictive Analytics. Those terms strike terror in the hearts of most business users, and that is understandable. These mysterious-sounding terms sound complicated and lead business users to imagine confounding, confusing algorithms, and endless strings of numbers.

What business users want is to find the cause of a problem, discover an opportunity that will help the business, and solve problems. They don’t want to have to try to unravel the complicated world of data analytics and be forced to choose forecasting techniques or predictive models. Your business users aren’t data scientists or analysts. They have a role to play in the organization, and that role increasingly requires them to understand data.

If you give your business users the right predictive analytics tools, if you give them true Plug n’ Play Predictive Analysis, they will be forever grateful and, more importantly, your organization will reap the benefits with improved decisions, and better business results.

Predictive analytics for business users should provide guides to auto-suggest analytical techniques, and reports and graphical displays that will best accomplish the user goals by looking at the type of data and other factors. So your users don’t have to be data scientists! They can depend on the advanced data discovery solution to provide suggestions and recommendations with built-in algorithms to do the heavy lifting!

Why burden your business users with overwhelming tools or tasks that require them to go beyond their professional skills or knowledge in order to get the answers you need to improve your business and challenge your competitors? It should all be so much simpler than that, and it can be! Plug n’ play predictive and forecasting tools help businesses to create Citizen Data Scientists by enabling the average business user to leverage sophisticated predictive algorithms without the expertise and skill of a trained data scientist, so users who are not statisticians or predictive algorithm experts, can leverage self-service plug n’ play predictive tools to achieve their goals.

It’s time for you to simplify predictive analysis and make it accessible to your business users. Plug n’ Play Predictive Analysis

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Smart Data Discovery: A Treasure Map to Success https://www.elegantjbi.com/blog/advanced-analytical-tools-that-are-smart-and-simple.htm https://www.elegantjbi.com/blog/advanced-analytical-tools-that-are-smart-and-simple.htm#comments Tue, 07 Nov 2017 13:12:31 +0000 https://www.elegantjbi.com/blog/?p=5125 Continued]]> Advanced Analytical Tools that are Smart and SimpleSmart Data Discovery Will Guide Your Users Through Advanced Analytics!

Your enterprise and business users do not have the time or the inclination to sift through complex data or wade through instructions to learn how to use complicated business intelligence or advanced analytics tools. They don’t want to document requirements and wait for IT or analysts to produce a report (only to find out that the data is incomplete or that the data was delivered too late to make a confident decision).

What your organization needs is advanced data discovery that is easy enough for every business user with sophisticated tools that will guide them through the analysis process and suggest data analysis techniques, and report formats that clearly display the data. These Advanced Data Discovery tools produce high-quality results that allow users to discover crucial nuggets of information and to identify trends and patterns that would otherwise be hidden in mounds of data.

Done right, data discovery should result in just that: discovering data. The word discovery means ‘the act or an instance of discovering’. It doesn’t mean confusing numbers, nor does it mean pretty pictures that tell you nothing. Discovery allows one to learn, adapt and share, and Smarten BI.

Smarten Business Intelligence is the smarter way to analyze data. Give your business users the right tools to gather, prepare and present data, with auto-suggest options and recommendations to make analysis and report formats simpler and more concise.

Contact us and find out how easily and quickly you can satisfy your most complex advanced analytics needs.

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Advanced Data Discovery and Augmented Analytics: Simple, Sophisticated Tools for Business Users https://www.elegantjbi.com/blog/advanced-data-discovery-and-augmented-analytics-simple-sophisticated-tools-for-business-users.htm https://www.elegantjbi.com/blog/advanced-data-discovery-and-augmented-analytics-simple-sophisticated-tools-for-business-users.htm#comments Fri, 03 Nov 2017 07:51:11 +0000 https://www.elegantjbi.com/blog/?p=5122 Continued]]> Advanced Data Discovery and Augmented Analytics: Simple, Sophisticated Tools for Business UsersThe world of business analytics has changed dramatically in the past few years. If your business is looking to upgrade BI tools or to begin implementing an analytics solution, the solution must be user friendly for business users. The tools exist today for augmented analytics, augmented data discovery, self-serve data preparation and other features and modules that provide sophisticated functionality and algorithms in an easy-to-use dashboard and environment that is designed to support business users, as well as data scientists and IT staff.

The concept of Advanced Data Discovery allows business users to leverage advanced analytics and helps the organization to create Citizen Data Scientists. Business users can quickly and easily prepare and analyze data and visualize and explore data, notate and highlight data and share data with others to identify the important ‘nuggets’, buried in traditional data, and to connect the dots, find exceptions, identify patterns and trends and better predict results.

While Augmented Analytics may seem too advanced for business users, the key to user adoption, rapid return on investment (ROI) and low total cost of ownership (TCO) is to select tools that are specifically designed to support data and analytical sharing, auto-recommended report formatting and auto-suggested analytical techniques based on the type of data the user is considering.

These tools should include:

  • Self-Serve Data Preparation – Allows business users to perform Advanced Data Discovery and auto-suggests relationships, reveals the impact and importance of key factors, recommends data type casts, data quality improvements and more!
  • Smart Visualization – Smart Data Visualization, suggests the best options for visualizing and plotting for a particular set or type of data, based on the nature, dimensions and trend of data.
  • Plug n’ Play Predictive Analysis – Assisted Predictive Modeling and predictive algorithms (associative, decision trees, classification, clustering and other techniques) lets business users explore hypothesis and assumptions using Advanced Data Discovery and recommendations to perform early prototyping, and drastically reduce the time and cost of analysis and experimentation. Empowers business users with access to meaningful data to test theories and hypotheses without the assistance of data scientists or IT staff.

The benefit of auto-suggestion and auto-recommendation is easy to understand. Business users are more likely to leverage these tools and to gain valuable insight and make confident decisions and predictions if they can use tools that support average skills and do not require advanced technical or analytical experience and knowledge.

To be successful in business, every organization must find a way to accurately forecast and predict the future of its market, and its internal operations, and better understand the buying behavior of its customers and prospects. Advanced Data Discovery and Augmented Analytics tools help businesses to create Citizen Data Scientists by enabling the average business user to leverage sophisticated tools without the expertise and skill of a trained data scientist. These tools are necessary to business success in today’s market.

Original Post: Advanced Data Discovery and Augmented Analytics: Simple, Sophisticated Tools for Business Users

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Smarter, Better, Faster Data Discovery https://www.elegantjbi.com/blog/2017/10/25/october-25-2017/advanced-data-discovery.htm https://www.elegantjbi.com/blog/2017/10/25/october-25-2017/advanced-data-discovery.htm#comments Wed, 25 Oct 2017 11:26:27 +0000 https://www.elegantjbi.com/blog/?p=5115 Continued]]> Business Users Want MORE: Simple, Advanced Data DiscoveryThe Next, Even Better Gift: Advanced Data Discovery Tools!

Have you ever noticed that when you give someone something, they often want more? This is especially true when they really like what you gave them! As the concept of business analytics becomes more main stream and business users embrace the possibilities, they (and their managers) want and expect even more tools and more potential. They want better solutions. BUT, don’t make the mistake of interpreting the need for more sophistication and detail as a need for more complexity. Business users are still business users and, as organizations pursue the natural progression of business analytics, the emergence of  Advanced Data Discovery enables those same business users to enjoy the benefits of more sophistication, more possibilities and more data sharing without the need for IT staff or data scientist involvement.

Happily, Advanced Data Discovery Tools have evolved, and with this natural progression, business users can now leverage advanced analytics and become true Citizen Data Scientists. Advanced Data Discovery allows business users to quickly and easily prepare and analyze data and visualize and explore data. They can notate and highlight data, share data with other users and most importantly, they can identify those crucial ‘ah hah’ nuggets of information that are buried in the mountains of traditional data within every organization.

My team uses augmented data preparation and self-serve data prep, and tools like smart data visualization, plug n’ play predictive analysis and assisted predictive modeling to connect all the dots, find those all-important exceptions, and identify patterns and trends so they can get ahead of the game and help us in the market.

And, the best part is that a business user with average skills can do all of this without specialized skills, knowledge of statistical analysis or support from IT or professional data scientists.

It’s really no surprise that they want more! After all, when you can make their job easier and make them more successful, they will always adopt the tools and jump in with both feet. Don’t rest on your laurels! Give your users (and your enterprise) the gift of advanced data discovery and watch them shine! Advanced Data Discovery

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Imagine Your Perfect BI Dashboard https://www.elegantjbi.com/blog/2017/10/24/october-24-2017/flexible-bi-tools.htm https://www.elegantjbi.com/blog/2017/10/24/october-24-2017/flexible-bi-tools.htm#comments Tue, 24 Oct 2017 05:30:11 +0000 https://www.elegantjbi.com/blog/?p=5118 Continued]]> Flexible BI Dashboards Give Users EVERY Tool They NeedA Flexible BI Dashboard is Like a Full Box of Crayons!

What if a teacher gave a child a box of crayons with only two colors? Can you imagine the disappointment of that child when they compared their crayon box with the crayons the other children received and realized that the other children had so many other colors from which to choose?

You’re probably wondering why I am talking about crayons but don’t worry! I am about to explain. Consider the average business intelligence product. The enterprise implements the solution and gives the IT staff or professional data analysts the task of deciding what business users need to see. Dashboards and reports are ‘designed’ by these professionals to give the average user what they need. The problem with this approach is that business users rarely get what they need or want. What they get is the crayon box with two crayons, when what they need is a crayon box that contains EVERY color!

Self-Serve business intelligence allows business users the freedom to imagine without limiting data analytics to visual data analysis on predefined dashboards. Think about it! Your business is more than just plotting pieces of information on a graph and filtering them, and you certainly expect your business users and team members to take their roles seriously and to contribute to the overall success of the company by leveraging their knowledge and skill. To do that, your team needs flexible tools – not restrictive dashboards and reports.

Every day there is some new challenge or opportunity in your business. True, dynamic data analysis and data sharing is about questioning assumptions and shifting plans to accommodate changes. No predefined two-crayon type of dashboard can possibly anticipate everything your business users need and want to do. Success depends on having thousands of dashboards and analytics and empowering EVERY team member with the view, format and data they need to execute the vision.

If you want to explore the whole box of crayons, you can start here: Flexible Business Intelligence Tools

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ElegantJ BI Included in Gartner ‘Market Guide for Traditional Enterprise Reporting Platforms’, September 2017 https://www.elegantjbi.com/blog/elegantjbi-included-in-gartner-market-guide-for-traditional-enterprise-reporting-platforms-september-2017.htm https://www.elegantjbi.com/blog/elegantjbi-included-in-gartner-market-guide-for-traditional-enterprise-reporting-platforms-september-2017.htm#comments Mon, 16 Oct 2017 13:25:45 +0000 https://www.elegantjbi.com/blog/?p=5096 Continued]]> ElegantJ BI Included in Gartner 'Market Guide for Traditional Enterprise Reporting Platforms', September 2017ElegantJ BI, an innovative vendor in Business Intelligence and Augmented Analytics, is pleased to announce that ElegantJ BI is named as Representative Vendors in the Gartner ‘Market Guide for Traditional Enterprise Reporting Platforms‘ report published September 28, 2017.

CEO, Kartik Patel says, “We are gratified to once again our Business Intelligence tool is included in the Gartner ‘Market Guide for Traditional Enterprise Reporting Platforms‘ report. Our core focus is on market innovation and the simplification and accessibility of sophisticated self-serve tools to support data democratization for business users, and we recognize the significant potential and need for growth and innovation in the business intelligence and advanced analytics market.”

As the business intelligence and analytical market evolves, the evolution of flexible reporting and sophisticated, easy-to-use reporting features and formats is crucial to users and to businesses. ElegantJ BI delivers web-based, clear and concise BI reports within minutes. It is simple to use, practical to implement and affordable for every organization. Users can point-and-click and drag-and-drop to instantly create reports or performance metrics or dashboards, or to perform ad-hoc analysis on operational data, in a self-serve environment without the need for programming, database or SQL skills.

“The team at ElegantJ BI continuously assesses market need and user feedback and develops products and services, designed to help grow customer organizations and add meaningful tools to satisfy the needs of the enterprise,” Patel says. “Our Smarten approach to business intelligence and advanced analytics re-imagines self-serve analytics in an integrated, personalized environment.”

The ElegantJ BI Smarten approach to Advanced Data Discovery includes Smart Visualization, Self-Serve Data Preparation and Plug n’ Play Predictive Analysis including augmented data discovery, and other features that provide sophisticated functionality and algorithms in an easy-to-use self-serve environment that is focused on business users. Sophisticated, easy-to-use functionality like auto-suggestion and auto-recommendation allows business users to gain valuable insight, and produce and share clear, concise reports to meet ever-changing needs.

More information on the business intelligence and analytical solution market is available in the Gartner report: Market Guide for Traditional Enterprise Reporting Platforms, Published: 28 September 2017, ID: G00327005, Analyst(s): Shubhangi Vashisth, Rita L. Sallam, Nigel Shen.

Disclaimer: Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization, and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About ElegantJ BI

ElegantJ BI is the flagship BI & Advanced Data Discovery solution of Elegant MicroWeb, and an intelligent ‘Design once, Use anywhere’ adaptive UI engine for out-of-the-box roll out to transform business users into Citizen Data Scientists. ElegantJ BI has developed the Smarten approach to business intelligence which supports Advanced Data Discovery with Self-Serve Data Preparation, Smart Visualization and Plug n’ Play Predictive Analysis and a 100% browser-based foundation that enables Mobile BI, Social BI and rich KPI analytics. ElegantJ BI is used by large, medium and small businesses around the world, including Religare Securities, IPCA Laboratories, JMC Projects, Sharekhan, Raychem RPG and many other small and medium size businesses.

Read More: ElegantJ BI Included in Gartner ‘Market Guide for Traditional Enterprise Reporting Platforms’, September 2017

Related Posts:

– ElegantJ BI Included in Gartner ‘Market Guide for Traditional Enterprise Reporting Platforms’, September 2017

– ElegantJ BI Solution Included in August 4, 2017 Gartner ‘Other Vendors to Consider for Modern BI and Analytics’ Report

– ElegantJ BI Included in Gartner Nov., 2016 Report, ‘Other Vendors to Consider for Modern BI and Analytics’

– Gartner Report, Competitive Landscape: BI Platforms and Analytics Software, Asia/Pacific Lists ElegantJ BI as Niche BI & Analytics Vendor

– ElegantJ BI Listed as a Representative Vendor in the Recent Gartner Market Guide for Enterprise-Reporting-Based Platforms

– ElegantJ BI in Gartner Market Guide and Magic Quadrant for BI – 2016

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What’s the Right BI Tool for Manufacturing? https://www.elegantjbi.com/blog/bi-for-manufacturing-out-of-the-box-and-simple.htm https://www.elegantjbi.com/blog/bi-for-manufacturing-out-of-the-box-and-simple.htm#comments Wed, 04 Oct 2017 13:28:59 +0000 https://www.elegantjbi.com/blog/?p=5090 Continued]]> BI for Manufacturing: Out-of-the-Box and Simple!Is There a Simple BI for Manufacturing Solution for Business Users?

Manufacturing has certainly changed over the past few decades! Global competition is greater today and local or regional manufacturers can no longer hope to achieve a competitive advantage based on location and geography alone. Products, pricing, process, quality and features drive the market and consumers are willing to purchase products from competitors to get more favorable pricing or a better, more suitable product.

Managers and business users must leverage technology and data to remain abreast of developments, understand quality issues, service interruption, resource shortages and other critical business factors. Every user must know what is expected of them to perform their role and satisfy the goals and initiatives set forth by management.

What your users need is business intelligence FOR manufacturing! BI for manufacturing should be out-of-the-box so you can get up and running as soon as possible with minimal business user training and optimal results and clarity of analysis. The right business intelligence tool for your manufacturing business is one that will provide dashboards for manufacturing (not cookie cutter dashboards that must be customized and changed to accommodate the needs of a manufacturing business). You want features like analytics for manufacturing, KPI for manufacturing and a reporting tool for manufacturing; all designed with experienced domain knowledge to make your life (and the lives of your users) easier!

The right business intelligence solution should support manufacturing business users with sophisticated, advanced data analytics in a simple-to-use environment that allows them to analyze cost factors and make appropriate decisions for acquisition of raw material and sold goods. Managers should have insight into the demand and supply trends in the market and ordering, shipping and inventory results to optimize investment and avoid short supply. With ElegantJ BI for Manufacturing, users can gather and analyze data from supply chain systems, ERP, sales and marketing and CRM systems, and purchasing, shipping and distribution systems. You can gain insight into business processes, understand and resolve issues and forecast and predict demand for resources, supplies, inventory and equipment – all with the click of a mouse!

If you are looking for out-of-the-box business intelligence functionality for your manufacturing business, you can find it here: Business Intelligence for Manufacturing.

Contact us now and let us help you achieve your analytical goals and meet objectives.

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Self-Service Data Prep: A Tool for Business Users https://www.elegantjbi.com/blog/self-serve-data-preparation-makes-data-analysis-easy-fast.htm https://www.elegantjbi.com/blog/self-serve-data-preparation-makes-data-analysis-easy-fast.htm#comments Fri, 29 Sep 2017 13:47:57 +0000 https://www.elegantjbi.com/blog/?p=5087 Continued]]> Self-Serve Data Preparation Makes Data Analysis Easy & FastSelf-Serve Data Preparation Makes Business Users More Productive and Efficient!

There is too much to do in a day to wait for someone else to give you the data you need. But, when it comes to data preparation and data analytics, business users are usually not comfortable with complex solutions that are time consuming or that require professional analytical skills. You pay your team members to have a certain type of expertise and that doesn’t always include technology or analytical knowledge. So, if you want them to be a real asset to the organization, you have to give them easy-to-use self-serve data preparation tools. Self Serve data prep allows business users to quickly gather and prepare data for analysis and to answer questions and solve problems without delay.

Your business users know what they need to know but it isn’t always easy to get that information. Data preparation tools that are suitable for the average business user will move your organization along at a faster pace with the right information so you are making the right business decisions. Self-Service data prep must be intuitive, mobile and flexible so that business users can leverage data to find problems, create solutions, identify patterns and trends and move departments, teams and the organization forward. Don’t sacrifice sophistication for ease-of-use. You can have both. Business users can enjoy data preparation and connect to various data sources to mash up and integrate data, and merge data in a single, uniform, interactive view with smart suggestions and auto-suggested relationships for JOINS, type casts, hierarchies and more. Users can clean, reduce and clarify data using sophisticated algorithms in an easy-to-use environment that is agile and provides accurate, dependable data governance to satisfy the IT team.

The Smarten approach to self-serve data preparation allows you and your users to leverage sophisticated analytical techniques without the assistance of an analyst or an IT professional. If you want to give your business users the right tools to gather, prepare and present data, contact us and find out how easily and quickly you can satisfy your data preparation and data analysis needs.

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Get Business Intelligence that Suits Business Users https://www.elegantjbi.com/blog/are-all-bi-tools-and-solution-suitable-for-business-users.htm https://www.elegantjbi.com/blog/are-all-bi-tools-and-solution-suitable-for-business-users.htm#comments Wed, 27 Sep 2017 12:31:13 +0000 https://www.elegantjbi.com/blog/?p=5084 Continued]]> Are All BI Tools and Solution Suitable for Business Users?All Business Intelligence Solutions are Not Alike!

There is a lot to business intelligence and it is easy to get lost in the details but, if you want to promote a self-serve BI environment for your users, you will want to have a good understanding of your product options. Look for a solution that offers key performance indicator analytics, with an easy-to-personalize KPI dashboard. Look for business intelligence reporting tools that allow for drill down, drill through, and produce attractive, clear, concise reports that can be easily shared and that are accessible on mobile devices with diverse sizes and screen resolution.

All BI tools and solutions are not created equal, and they certainly don’t provide the ease-of-use that business users need. A tool that is only accessible to, or easily understood by IT or data scientists does not give you the organizational coverage you need, nor does it promote productivity, data sharing, accountability or empowerment among business users.

Strive to create Citizen Data Scientists by selecting a Business Intelligence Solution that provides powerful, sophisticated functionality in a simple user environment so you can encourage user adoption and improve ROI and TCO.

If your users need this kind of self-guided, self-serve business intelligence and you want to improve your planning, forecasting and decision-making, look no further. Business Intelligence in Action.

Contact us now and let us help you to quickly and seamlessly integrate business intelligence with your business workflow and user population.

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Smart Data Visualization Walks You Through to Success https://www.elegantjbi.com/blog/smart-data-visualization-helping-hand-for-business-users.htm https://www.elegantjbi.com/blog/smart-data-visualization-helping-hand-for-business-users.htm#comments Wed, 27 Sep 2017 08:41:14 +0000 https://www.elegantjbi.com/blog/?p=5081 Continued]]> Smart Data Visualization: A Helping Hand for Business UsersTake the Guesswork Out of Analytics with Smart Data Visualization!

Smart data visualization takes the guesswork out of data analysis. Why ask your business users to use cumbersome, difficult tools to analyze data or expect them to wait for professional analysts or IT staff to satisfy their analytical needs. They have a job to do and you hold them accountable for results but if they don’t have the right data visualization tools, they can’t get the most out of data.

The key is to give your users Smart Data Visualization that will offer recommendations on how to present and visualize data, suggesting the best options for visualizing and plotting for a particular set or type of data, based on the nature, dimensions and trend of data, based on the type of data the user is analyzing and on other factors. The software for data visualization should do the work!

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

Traditional data visualization is static and, while it may offer a choice of graphs and displays, it is not interactive and is not ‘Smart’ enough. In the traditional scenario, visual representations are not useful in helping users to analyze and understand data or choose the right method to display and report that data for decision-making. Smart Visualization allows the enterprise and its users to select and display data in a way that assures accurate interpretation and assumes no technical skill or need for in-depth training.

If you want to take the Smarten approach and leverage smart data visualization tools, we encourage you to contact us for more information.

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Social BI Inspires Data Popularity https://www.elegantjbi.com/blog/social-bi-improves-collaboration-and-effectiveness.htm https://www.elegantjbi.com/blog/social-bi-improves-collaboration-and-effectiveness.htm#comments Wed, 20 Sep 2017 13:40:52 +0000 https://www.elegantjbi.com/blog/?p=5077 Continued]]> Social BI Improves Collaboration and EffectivenessSocial BI Tools: A Logical (and Crucial) Extension of Social Networking!

Business intelligence has become a crucial tool for business users and for organizations large and small. It was only a matter of time before social business intelligence took over the enterprise! Sharing data and content is a habit for all consumers and consumers have jobs. Within the context of those jobs, a consumer becomes a team member – a business user who now uses social business intelligence tools to gather, analyze and share data and make better, more dependable decisions.

Within the realm of Social BI, power users will emerge and data popularity will rise. The way in which a creative business user employs social BI tools, data gathering and analysis techniques and data reports and display formats will drive other business users to find and share data and allow users to teach each other and inspire more analytical creativity.

But, the reach of social BI software does not stop there! As the enterprise considers and assesses the ways in which business users share and use data, it can better anticipate the needs of the user base and provide better, more targeted tools, integrated data and analytical features and functionality to support and drive the organization, improve productivity and time to market and increase competitive advantage.

Contact us and find out how to inspire Social BI and leverage Social BI Dashboards within your organization.

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Predictive Analysis Tools are Not Just for Analysts https://www.elegantjbi.com/blog/predictive-analytics-puts-you-ahead-of-the-competition.htm https://www.elegantjbi.com/blog/predictive-analytics-puts-you-ahead-of-the-competition.htm#comments Tue, 19 Sep 2017 12:03:56 +0000 https://www.elegantjbi.com/blog/?p=5074 Continued]]> Predictive Analytics Puts You Ahead of the CompetitionPlug n’ Play Predictive Analytics Solutions for Every Business User!

Predictive analysis is very important to your organization. If you can dependably predict and forecast results, you can stay ahead of the competition, address changing customer needs, capitalize on opportunities and solve problems before they negatively impact your enterprise.

But, your market is no different than any other market. Things are changing fast and you don’t have the time or the money to hire additional professional analytical resources and wait for those limited resources to satisfy the daily, changing needs of your user base. If you are to fully leverage predictive analytics, you must provide easy-to-use assisted predictive modeling tool. These plug n’ play predictive analytics solutions allow your business users to dive in and participate in predictive analytics. Your business users do not need to be professional analysts in order to take advantage of these predictive analytics tools so user adoption and user satisfaction is never an issue. This predictive analytics software is fast and easy to implement and provides impressive ROI and TCO.

Most importantly, out-of-the-box predictive analysis tools are flexible so expanding the user base, and growing with the natural ebb and flow of the organization is not a problem. Business users will become Citizen Data Scientists who can find and analyze information on a daily basis to solve problems and create meaningful reports to share with other users so the organization is more empowered and accountable and every team member in every role can see how their goals fit and support the overall enterprise objectives.

Your team members have a lot of things to juggle in a day. Don’t ask them to use tools that are cumbersome or frustrating. Give them predictive analysis tools that are mobile, easy to use and provide plug n’ play predictive analytics to identify trends and patterns and help users to discover those unique ‘nuggets’ of information that will help the organization rise about the competition.

We encourage you to take the Smarten approach to Plug n’ Play Predictive Analytics. Contact us to find out how!

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Advanced Analytics: If You Don’t Know What You Need, How Can You Succeed? https://www.elegantjbi.com/blog/advanced-analytics-if-you-dont-know-what-you-need-how-can-you-succeed.htm https://www.elegantjbi.com/blog/advanced-analytics-if-you-dont-know-what-you-need-how-can-you-succeed.htm#comments Fri, 15 Sep 2017 09:38:15 +0000 https://www.elegantjbi.com/blog/?p=5067 Continued]]> Advanced Analytics: If You Don't Know What You Need, How Can You Succeed?Every enterprise is talking about Business Intelligence and Advanced Analytics. Every enterprise has considered the benefits of implementing self-serve analytics across the organization and involving business users in the process. Panel discussions at technology conferences and hallway conversations among executives and IT staff encourage the trend and create anxiety within the organization that has not yet embraced advanced analytics at the grassroots level.

But, before your organization selects and deploys a solution, there are numerous important considerations. Choosing and implementing a solution for advanced analytics and augmented data discovery is not as simple as buying team t-shirts for your company baseball team. If you do not take the time and effort to do it right, your enterprise may spend a lot of money and time on a solution that reaps little to no benefit.

Don’t become a failure statistic! Ask yourself this: If you don’t know what you need, how can you succeed?

Requirements Planning for Data Analytics

Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs. While it is true that advanced analytics can help every type and size of business, it is important to remember that YOUR organization is not like any other enterprise. Take the time to develop detailed requirements that consider business user skills, use cases for day-to-day analytics needs and for strategic use, the need for mobile access, scalability, data source integration and other needs. Will you need the flexibility to customize or personalize dashboards? What kind of training or guidelines will your organization need in order to access and leverage the analytics solution and provide the kind of results and user adoption you expect? What kind of statistical data, report capability and security will you need? How will you manage growth?

Curated Data Provides Answers, NOT More Questions

Nearly every organization is overwhelmed by the volume of data and the number of disparate sources and data structures it must manage. Your business users, data scientists and IT staff NEED data, but they need the right data and they need to easily integrate and manage that data if they are to use it to their advantage. One of the crucial success factors for advanced analytics is to ensure that your data is clean and clear and that your users have a good understanding of the source of the data so that they can put results in perspective. Social BI and the advent of smart visualization, augmented data modeling, self-serve data preparation makes it easy to gather and analyze the data but insight and perspective is key to success. Be sure to consider the location, condition and accuracy of your data and to select a solution that will connect various data sources (personal, external, cloud, and IT provisioned). Your organization can enjoy an interactive view and clean, clear data so that it is easier to use and interpret to provide data quality and clear watermarks to identify the source of data.

Data Governance and Self-Serve Analytics Go Hand in Hand

Many businesses step away from the concept of self-serve analytics because they believe that the concepts of self-serve and data governance are at odds but nothing can be further from the truth. If you select the right solution, you can ensure data and personal security and provide appropriate access at all levels of the organization. Give your business users the access they need with streamlined data governance to balance provisioned/approved data sources, watermarked/certified data and user-created data while assuring data provenance and dependability. if a user has access to an advanced analytics solution that integrates and delivers data from multiple legacy, best-of-breed and ERP systems, with the right solution, the enterprise can decide what type of data and access each user is entitled to enjoy. You need to understand your governance requirements and goals and select a solution that is flexible enough to deliver access to the type of depth of data your users need.

Collaboration Results in the RIGHT Analytical Solution

We already discussed the need for detailed requirements but it is also important to point out the importance of involving all teams in the requirements process. Business users will have different requirements from data scientists, IT staff and executives. If you are to succeed in implementing and leveraging an advanced analytical solution, you need to understand the perspective, role and needs of each group and select a solution that will meet those needs, one that is flexible enough to accommodate changing requirements, location and organization growth, and the organizational goals for cost and project timelines. Don’t make assumptions. Collaboration among users and teams is key to your success.

Data Analytics Literacy MUST Exist at All Organizational Levels

Finally, it is important to include data literacy considerations. This does not mean that your users have to become skilled data scientists. It simply means that, if users at every level of your organization are going to adopt and effectively use advanced analytics to meet enterprise goals, each user must understand:

  • The objectives and goals the organization has set forth for the advanced analytics initiative
  • How this initiative impact their role
  • How these tools can provide meaningful assistance in helping them to achieve THEIR goals.
  • How individuals and teams can share advanced analytics and create a social BI environment
  • How advanced analytics and metrics can and will reveal answers, issues and opportunities
  • How and when to involve IT and data scientists when strategic, next level, analytics is required
  • The guidelines and basics of the advanced analytics environment, e.g., various data sources, reports and types of analysis available for their use

When we talk about data analytics literacy, we must include literacy goals at every level of the organization, including senior executives. Team members are more likely to take this initiative seriously if senior executives use and understand these tools and can engage in meaningful discussions when presented with reports or when discussing issues or opportunities revealed by data analytics.

This article provides a summary discussion of some of the important factors involved in the consideration of an advanced analytical solution implementation. This planning process is key to the successful selection, implementation, deployment and management of an advanced analytical solution.

Original Post: Advanced Analytics: If You Don’t Know What You Need, How Can You Succeed?

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Mobile BI Tools with Great ROI and TCO: Fast and Easy https://www.elegantjbi.com/blog/2017/09/12/september-12-2017/mobile-bi-roi-tco.htm https://www.elegantjbi.com/blog/2017/09/12/september-12-2017/mobile-bi-roi-tco.htm#comments Tue, 12 Sep 2017 13:46:12 +0000 https://www.elegantjbi.com/blog/?p=5063 Continued]]> The Secret to Mobile BI Tools with Great ROI and TCO?Mobile BI Tools with Great ROI and TCO? Yes! You CAN Have it All!

I know many of you balk at the idea of upgrading or acquiring BI tools. The benefits of business intelligence software are well known but organizations are often discouraged by what they perceive as the high cost and long implementation time required to complete the project.

If you are on the fence about mobile business intelligence tools, or if you are afraid of upgrading what you have, be not afraid! Reimagine BI! Whether you need mobile business intelligence tools for small business, BI for medium business or business intelligence for enterprise business, you can get a cost-effective solution; one that is easy to implement, easy to train and use and offers great total cost of ownership (TCO) and rapid return on investment (ROI). No development required!

You deserve the advantage of great mobile BI tools and sophisticated, simple tools that are easy enough for every business user will turn your users into Citizen Data Scientists.

Talk to someone who can help you envision and execute the ideal business intelligence solution at a cost you can afford with timely, simple implementation. It really IS that simple. Mobile Business Intelligence

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Plug n’ Play! Analytics that Leads Business Users to Success https://www.elegantjbi.com/blog/2017/09/11/september-11-2017/assisted-predictive-modeling.htm https://www.elegantjbi.com/blog/2017/09/11/september-11-2017/assisted-predictive-modeling.htm#comments Mon, 11 Sep 2017 14:32:34 +0000 https://www.elegantjbi.com/blog/?p=5060 Continued]]> Assisted Predictive Modeling Leads the Way with EasePlug n’ Play Predictive Analysis: Sophisticated, Yet Easy for Every User!

Oh, the confusion of advanced analytical terminology. Read a report, attend a conference and your head is swirling with terms like ‘assisted predictive modeling’, plug n’ play predictive analysis, smart visualization, augmented data discovery and augmented data preparation. Add to that, the sophisticated concepts of auto-suggest, auto-recommend, time series forecasting, causation and prediction and classification techniques and you may feel that you need a degree in data science to do your job.

But, if you get the right Advanced Analytics Tools, you don’t have to worry about all of that because the tool will do the work for you. Take plug n’ play predictive analytics for example. Your organization can create and enable Citizen Data Scientists by enabling the average business user to leverage sophisticated predictive algorithms without the expertise and skill of a trained data scientist, so users who are not statisticians or predictive algorithm experts, can leverage self-service plug n’ play predictive tools to confidently make business decisions.

Select the data you want to analyze and see how easy it is to get results and produce reports that point you in a clear direction, illustrate patterns and trends and even auto-suggest and recommend analytical techniques to help you sort it out in the