Wipro Builds Industry-Focused Big Data Analytics-as-a-Service Platform on IBM Bluemix
Data Discovery Platform, a ‘pay-per-insight’ model analytics solution, enables faster data-driven decisions, customized by industry
Bangalore, India, and East Brunswick, New Jersey, USA - February 14, 2017:
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO), a leading global information technology, consulting and business process services company, today announced it is delivering analytics-based insights for specific industries with the Data Discovery Platform, its newest big data analytics-as-a-service solution. Built with IBM BigInsights and IBM dashDB and developed on Bluemix, IBM's cloud platform, the solution accelerates insight-driven decision making through pre-built applications for specific industries, such as banking and financial services, retail, energy, education and manufacturing.
In many organizations, internal and external data exist in silos across the company, making it difficult and expensive to collect and analyze. The Data Discovery Platform helps businesses unlock the true value of their structured and unstructured data to deliver insights customized to the customer’s industry sector.
Wipro and IBM developers collaborated on the solution which is available in an outcome-based ‘pay-per-insight’ cloud delivery model. It has been customized for a number of specific industries and their associated overall processes, including:
The Data Discovery Platform offers a unique value proposition driving an accelerated time to market for insights, resulting in augmented and better decision-making. The solution's modular, approach, coupled with machine learning, natural language processing, visualization and stream computing capability enable flexible and scalable responses to dynamic business requirements.
“Today’s businesses, without exception, have to be disruptive. Wipro’s Data Discovery Platform, built on IBM’s Cognitive and Cloud Platforms offers clients immediate access to insights giving them a competitive edge. IBM and Wipro are working together to help our customers discover the value of their existing data while leveraging leading-edge cloud and cognitive technologies,” said Pallab Deb, Vice President & Global Head - Analytics, Wipro Limited.
“As businesses transition into cognitive enterprises, it is not enough to simply leverage big data platforms. Companies need to generate true, business changing insights that can pull data from wherever it might be stored,” said Stephen Crain, Business Unit Executive, Global System Integrators, IBM. “By incorporating IBM BigInsights and IBM dashDB into Wipro’s Data Discovery Platform, Wipro clients will be able to accelerate their transformation into cognitive enterprises.”
In October 2015, Wipro and IBM announced a collaboration wherein Wipro would use the IBM Bluemix cloud platform for the agile creation and deployment of mobile, analytics and machine learning solutions for clients around the world. The Data Discovery Platform is one of the solutions from Wipro to be built on the Bluemix platform.
To learn more about Wipro's Data Discovery Platform, visit http://www.wipro.com/microsite/ddp/
About Wipro Limited
Wipro Limited (NYSE:WIT, BSE: 507685, NSE: WIPRO) is a leading information technology, consulting and business process services company that delivers solutions to enable its clients do business better. Wipro delivers winning business outcomes through its deep industry experience and a 360 degree view of “Business through Technology.” By combining digital strategy, customer centric design, advanced analytics and product engineering approach, Wipro helps its clients create successful and adaptive businesses. A company recognized globally for its comprehensive portfolio of services, strong commitment to sustainability and good corporate citizenship, Wipro has a dedicated workforce of over 170,000, serving clients across 6 continents. For more information, please visit www.wipro.com
Media Contact:
Subhashini Pattabhiraman
Wipro Limited
subhashini.pattabhiraman@wipro.com
Forward-looking and Cautionary Statements
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