Susan Etlinger explains that interpreting data based on whether it makes you feel comfortable or successful is likely incorrect. As we receive more data, we need stronger critical thinking skills to move beyond just counting things to truly understanding them. Interpreting data requires context about how it was created and limitations in metrics. Managers should focus on humanities and social sciences to provide needed context for better data-driven decisions.

2. “Does a set of data make you feel more
comfortable? More successful? Then your
interpretation of it is likely wrong. In a
surprisingly moving talk, Susan Etlinger explains
why, as we receive more and more data, we
need to deepen our critical thinking skills.
Because it's hard to move beyond counting
things to really understanding them.”

3. List the two most
(important/interesting/
informative)
insights from this ?

4. We are active consumers of data and technology.
We shape the role it plays in our lives. Since data
is created by people, its interpretation needs
context. We should also focus on the humanities
and social sciences to get that context, and thus,
make better decisions.

6. Develop good critical thinking to make
better
data-driven decisions.

7. Data and its analysis has limits because
we often tend to overvalue some metric
and undervalue some others. We must
not misuse facts, as then, the quality of
assessment and decisions decrements.

9. Why and How are these
insights relevant to a
manager in India?

10. Managers have the capability to draw the
best out of their employees. Big data plays
an important role in talent acquisition,
learning and development and employee
engagement.

12. Give a perspective on data intelligence and business
intelligence.

13. The managers
must make a
transition from
what data is
available to
what that data
can achieve.

14. Managerial problems are a mix of the
technical and the emotional. It's important
for them to blend the emotional and the
digital, to make optimal data-driven
decisions.

16. They must try not to commit the mistake
of overvaluing a metric or undervalue a
metric.
Balance is important everywhere.

17. .