The document discusses how data-driven companies are more profitable and provides insights into becoming data-driven. It recommends making decisions throughout the organization to free up senior time. It also stresses investing in quality data sources that others can trust to align with decisions. Managers should push decision making down, invest in quality data, and bring new data technologies into their organizations to reap the profit benefits of a data-driven approach.
2. Recent academic work from
Andrew McAfee and Erik
Brynjolfsson of the MIT Sloan
School of Management shows
that companies that regard
themselves as “data-driven” are
measurably more profitable than
those that aren’t.
So becoming data- driven is clearly
a worthwhile endeavor.
Why we need to be Data Driven?
3. INSIGHTS: “Are you Data Driven.
Take a hard look into the mirror” –
Thomas C. Redman
4. INSIGHT #1.
The essence of
“data-driven” is
making better
decisions up and
down the
organization chart.
5. • Pushing decision making
down frees up senior time
for the most important
decisions.
• Lower-level people spend
more time and take
greater care when a
decision falls to them
6. It builds the right
kinds of
organization
capabilities and
creates a work
environment that
is more fun.
8. The decisions are no better
than the data on which
they are based, so invest in
quality data and cultivate
data sources you can trust.
9. • High-quality data makes it
easier to understand variation
and reduces uncertainty.
• Success is measured in
execution, and high-quality
data makes it easier for others
to follow the decision-makers
’logic and align to the decision.
11. Work hard to learn
new skills and bring
new data and new
data technologies (big
data, predictive
analytics, metadata
management, etc.) into
their organizations.
LESSON FOR A
MANAGER
14. • Start by pushing decision
making down the
organization. It may be
tough and counterintuitive,
but it’s worth the effort.
• Second, invest in quality
data. You simply cannot be
data-driven without a high
level of trust in your data
and data sources.