Companies that were born digital—think Google, EBay, LinkedIn, and Facebook—were built on a foundation of big data from the beginning. No integration with existing architectures or processes, no legacy systems to reconcile. At these companies, big data was foundational. It could stand on its own.
But these companies are in the minority. The fact is that most companies still struggle with finding, sourcing, accessing, reconciling, provisioning, and delivering data—particularly data in non-traditional formats. In their research report, Big Data in Big Companies, Tom Davenport and Jill Dyché interviewed executives from 20 large, established companies about their big data journeys. Companies like GE, Sears Holdings, and UPS shared their varied reasons for adopting big data technologies and formalizing the accompanying programs. They also shared their challenges, and how they hoped to continue to deliver big data at the speed at which their businesses needed to move.
Big Data in Big Companies (report summary by Jill) sascom Magazine | Q4 2013
Banks Use Big Data To Understand Customers Across Channels Forbes | June 11, 2013
Wanna Know How The Big Boys Make Big Bucks With Big Data? Silicon Angle | June 11, 2013
Geeks Wanted -- Big Data Firms Push Data Scientist Development Forbes | June 17, 2013
Big data definitions fail to describe challenges of large data sets TechTarget - SearchBusinessAnalytics | November 1, 2013
Analytics 3.0 -- the old guard masters how to build data products TechTarget - SearchCIO | December 2013
Sexy” Data Scientist is a Team Sport Information Management | January 6, 2014