ElegantJ BI Included in Gartner 'Market Guide for Traditional Enterprise Reporting Platforms', September 2017

ElegantJ 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.

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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 PreparationSmart 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

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