Enterprise Analytics 101: Think Next!

Netflix uses its recommendation systems to keep you hooked. Uber uses real-time analytics to match you with fitting co-riders. Apart from these, one can point out many other applications of data analytics. While digital businesses and startups have been early adopters (read, leaders) of the big data revolution, it's the large organizations that are lagging.

Clearly, it can't be a question of technical know-how. Even the companies that has started analytics journey, often have sub-par results in terms of RoI. This raises the critical question - what lies at the root of this issue?

In this series of articles, we explore key reasons behind the low adoption of data and analytics by “Biggies” in conventional businesses like consumer goods, banking, manufacturing, pharma, and healthcare. Listed below are a few of them.