DO we need a data scientist?

1. STOP SEARCHING FOR
THAT ELUSIVE DATA
SCIENTIST

3. DATA SCIENTIST- NOT COMPULSORY!!

4. WHAT IS TO BE DONE?
• People don’t need to become data scientists, but
they need to understand and appreciate key
principles and practices of data science.
• We need extensive, but not exhaustive, exercises in
simple data science and analytics.

8. • A typical team maybe collectively less
skilled and competent than a typical data
scientist. But a collective team learns from
each other and sends a message to the rest
of the organization that even baby steps in
analytics could yield large strides in
outcome.

9. SO ARE THESE TEAMS ULTIMATELY A
SHORT-TERM FIX RATHER THAN A
MORE SUSTAINABLE SOLUTION TO THE
DATA SCIENTIST SHORTAGE?

10. • Smart organizations
would be foolish to
outsource this away from
the very people who need
to be more data-driven.
• You want to cultivate internal
capability, not just hire it.
• That’s why a team is a good starting
point!

11. MANAGERS :
•Give up!
• Stop hunting for that data science unicorn and/or
silver bullet

13. RATHER,
• The accent is on the word team; the emphasis
is on building greater data capability than
better digital infrastructures. The goal is to
make all of the organization — not just the
geeks and quants — more conversant in how
to align probability, statistics, technology and
business value creation.

14. • A cultural and organizational context for the
necessary hires to follow is the profit.
Sometimes the data show that “buying time”
the right way can be a terrific investment.

15. THANK YOU!!