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.
