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ARE YOU DATA DRIVEN?
DATADRIVEN
The term “data-driven” is
penetrating the lexicon ever
more deeply these days.
Recent academic work shows
that companies that regard
themselves as “data-driven”
are measurably more
pro table than those that
aren’t.
The essence of “data-
driven” is making better
decisions up and down the
organization chart
TraitsoftheData-Driven
1
The data-driven:
● Make decisions at the lowest
possible level
● Bring as much diverse data to
any situation as they possibly can
● Use data to develop a deeper
understanding of their worlds
● Develop an appreciation for
variation
2
Deal reasonably well with
uncertainty
Integrate their ability to
understand data and its
implications with their
intuitions
3
● Recognize the importance of
high-quality data and invest to
make improvements
● Conduct good experiments and
research
● Recognize that decision
criteria can vary with
circumstances
● Realize that making a decision
is only the rst step
4
● Work hard to learn new
skills and bring new data and
new data technologies (big
data, predictive analytics,
metadata management, etc.)
into their organizations
● Learn from their mistakes
THE 3 STEPS
1
First start by pushing
decision making down the
organization.
2
Second, invest in quality
data
3
Engage your management
team in doing exactly the
same thing for your
organization.
DATADECISION
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.
THANK YOU
By
Pratik Kumar

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Are you data driven

  • 1. ARE YOU DATA DRIVEN?
  • 2. DATADRIVEN The term “data-driven” is penetrating the lexicon ever more deeply these days. Recent academic work shows that companies that regard themselves as “data-driven” are measurably more pro table than those that aren’t.
  • 3. The essence of “data- driven” is making better decisions up and down the organization chart
  • 5. 1 The data-driven: ● Make decisions at the lowest possible level ● Bring as much diverse data to any situation as they possibly can ● Use data to develop a deeper understanding of their worlds ● Develop an appreciation for variation
  • 6. 2 Deal reasonably well with uncertainty Integrate their ability to understand data and its implications with their intuitions
  • 7. 3 ● Recognize the importance of high-quality data and invest to make improvements ● Conduct good experiments and research ● Recognize that decision criteria can vary with circumstances ● Realize that making a decision is only the rst step
  • 8. 4 ● Work hard to learn new skills and bring new data and new data technologies (big data, predictive analytics, metadata management, etc.) into their organizations ● Learn from their mistakes
  • 10. 1 First start by pushing decision making down the organization.
  • 11. 2 Second, invest in quality data
  • 12. 3 Engage your management team in doing exactly the same thing for your organization.
  • 13. DATADECISION 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.