2. But, What’s the urge?
•Slowly but steadily, data
are forcing their way into
every nook and cranny of
every industry, company,
and job.
3. • Managers who
aren’t data savvy,
who can’t conduct
basic analyses,
interpret more
complex ones,
and interact with
data scientists are
already at a
disadvantage.
4. Companies without
a large and
growing cadre of
data-savvy
managers are
similarly
disadvantaged.
One can easily
interpret the need
of “Data-Virtuosos”
in the company.
5. INSIGHTS: “How to Start Thinking
Like a Data Scientist?” - By
Thomas C. Redman
6. INSIGHT #1: Thinking like a
Data Scientist is really No
Rocket Science.
The author mentions that “You
don’t have to be a Data
scientist or a Bayesian
statistician to tease useful
insights from data. “
Extracting useful insights
requires Methodological
thinking and an open mind.
7. INSIGHT #2. Account for
the subtle details.
They build up to form
a bigger picture.
II. Write down all the
relevant definitions
and your protocol for
collecting the data.
I. The author
emphasizes to employ
a defined strategy to
approach the problem.
8. III. A first picture by
hand, may be a graph
or a table, might help
substantially.
IV. Next, think through
the data that can
help answer your
question, and develop
a plan for creating
them.
12. Organized work
with a better
work culture.
Remember,
Unorganized and
Unstructured
work is the root
for a company
13.
14. • A Manager needs to
encourage open-
mindedness in the
employees of the company.
• As the author emphasizes
that one need not be a Data
Scientist or Bayesian
Statistician to extract useful
insights. Being non-ignorant
in the subtle details is all
what one needs.