At its Data Science Summit Pivotal announced a new strategic partnership with consulting, technology and outsourcing services company Capgemini. The partnership will combine Capgemini’s expertise in business solutions for big data and analytics with Pivotal’s data platform technologies.
Together the companies will innovate around big data and analytics, and have started with “Business Data Lake”, which will bring a new approach to combining big data volumes from new sources with legacy data to provide business relevant analytics capabilities on a robust platform. The Business Data Lake transforms how information is leveraged within the enterprise, moving away from a single centralized view. It enables a broad base of business users to create their own personal perspectives on all data: structured and unstructured, stored and streamed and from inside and outside their organization. The end result will provide agile and relevant analytical insight to a broad community of business users, and through real-time technology, integrate those insights directly into business processes.
“As we enter a new era of information centric computing, companies must co-innovate to solve tough problems for their customers,” said Pivotal CEO Paul Martiz. “This is why we are working with Capgemini, a market leader in business analytics, around the Business Data Lake. This new offer represents our belief that the future of information insight within enterprises requires a new operating model, as both data volumes increase and real-time intelligent-response becomes a necessity of doing business.”
Capgemini and Pivotal are working together to establish a dedicated Pivotal Center of Excellence (CoE) within Capgemini’s Business Information Management (BIM) center in India, that will scale to 500 dedicated Pivotal product experts by 2015. The CoE has access to over 8,000 information management practitioners and 6,000 Java developers.
The Data Science Summit was held this week in Redwood City, California. The event conversation can be followed on Twitter hashtag #Datasciencesummit.