Tips for Building a Data Science Capability

ANALYTICS CULTURE
Why Hasn’t Your Data Science
Investment Delivered on its
Promise?
The promise of game-changing results from data science has been touted
for years, and the allure of that promise has driven organizations across all
commercial markets and the public sectors to invest huge sums of money,
time, and resources to make it happen. Encouraged by the outcomes of
analytical pilots, organizations are now looking to scale data science
across their enterprise. As they continue their pursuit, they have found the
benefits are elusive and they are often humbled by organizational inertia.
The hard truth is that a key enabler to delivering on the biggest promise of
data science is transforming organizational culture. And, contrary to popular
belief, it’s not about transforming to just any culture. Organizations must
start to pursue an analytics-driven culture.
An analytics-driven culture uses analytics to generate
insights that can be used by organizations to inform
strategic decisions and propel the organization to the
next level of performance. One of the key benefits of
an analytics-driven culture is the difference in
timescales in findings solutions. With an
analytics-driven culture, the organization becomes
particularly adept at asking the right questions and
rapidly (within minutes sometimes) getting answers.
That shifts the time available to thoughtful discussion
on what analytical outputs mean and how they
inform decisions to derive desired outcomes.