Infosys Platform Offers Up To 8X Faster Big-Data Benefits

Infosys says its BigDataEdge is a new platform intended to ‘radically’ simplify the complex task of analyzing Big Data to discover relevant information, reducing the time taken to extract information by up to 40% and generate insights eight times faster. Vishnu Bhat, Vice-President and Global Head – Cloud, said the new offering is already enabling ten global organizations to develop actionable insights in a matter of days and act on them from day one.

Big Data may not be the hottest area of IT from a current spending perspective, but there is no doubt that it is quickly positioning itself for a run at that spot in the near future. IDC projects that the Big Data technology and services market will grow at 7X the rate of the overall information and communication technology market, with revenues reaching $23.8 billion in 2016. Gartner is even more bullish in its forecasts, putting the 2016 Big Data market at $232 billion.

Bhat said Infosys, an India-based IT integration and service vendor with over 700 customers globally, including 160 of the Fortune 500, started its cloud practice 18 months ago, with one focus on how will enterprises leverage Big Data to unlock maximum business value. Businesses have been looking for insights for long time but have been challenged by a few things, including how to get to the right data for analysis, the time required to get to the right data and the complexities of multiple data sources.

Available as both an on-premise, as well as a hosted model, BigDataEdge brings a significant amount of power for how businesses can quickly integrate the data sources, structured and unstructured and quickly generate business value, he said. “More importantly, it allows businesses collaboratively to share that information… and quickly make decisions on that insight.”

BigDataEdge includes: a visual interface with more than 50 customizable dashboards and 250 built-in 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 for access to structured and unstructured data residing across enterprise and external sources; a 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, eliminating the need for physical availability of data to build and test insights; and ‘out-of-the-box’ applications for specific industry needs such as fraud detection and prevention, predictive analytics and monitoring, and customer micro-segmentation.

“The Logical Data Warehouse is a new data management architecture for analytics which combines the strengths of traditional repository warehouses with alternative data management and access strategy,” said .Mark Beyer, Research Vice President, Gartner, in a prepared statement. “Logical data warehouse is the answer to address the Big Data needs and enterprises should choose Big Data platforms that embrace this approach.”


Author: Steve Wexler

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