This article is the second in a series of six, where we
discuss common obstacles faced by enterprises in analytics adoption
and the way forward.
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?
