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Article

Infosys Launches BigDataEdge Platform

Enterprises can reduce the time taken to extract information by up to 40 percent and generate insights up to eight times faster

"Enterprises today cannot afford to spend an inordinate amount of time making sense of the data deluge that surrounds them," said Vishnu Bhat, VP and Global Head of Cloud at Infosys, as Infosys announced the launch of BigDataEdge to radically simplify the complex task of analyzing Big Data to discover relevant information.

"Infosys BigDataEdge draws upon our deep research and development capabilities and proven expertise in Big Data and analytics to help clients turn data into revenues faster," Bhat continued. "This unique platform is already enabling ten global organizations to develop actionable insights in a matter of days and act on them from day one," he added.

By empowering business users to rapidly develop insights from vast amounts of structured and unstructured data, better business decisions can be made in near real-time. With Infosys BigDataEdge, claims the company, enterprises can reduce the time taken to extract information by up to 40 percent and generate insights up to eight times faster.

Infosys BigDataEdge includes:

  • A rich visual interface with more than 50 customizable dashboards and 250 built-in algorithms.  These algorithms, a set of reusable business rules both function and industry-specific, enable business teams to self-serve the process of building insights while minimizing the need for technical intervention
  • Over 50 data source connectors, which allow easy access to structured and unstructured data residing across enterprise and external sources. This would enable acceleration of discovery of relevant information from existing, underutilized data
  • A powerful collaboration wall and pre-built workflows that allow teams across functions to interact on insights and collectively implement decisions
  • A Logical Data Warehouse providing a virtual data management architecture, eliminates the need for physical availability of data to build and test insights
  • 'Out-of-the-box' applications for specific industry needs such as fraud detection and prevention, predictive analytics and monitoring, and customer micro-segmentation that deliver faster returns on investment

More Stories By Liz McMillan

News Desk compiles and publishes breaking news stories, press releases and latest news articles as they happen.

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