This presentation discusses people analytics and its limitations. It notes that while big data analytics can provide benefits, some areas are disappointing as the data is only as good as the questions asked. It cautions that algorithms can make unhelpful assumptions. The presentation also notes that managers often overpressure employees and focus too much on short-term targets instead of working environment and long-term performance. Insights suggest metrics may not capture organizational flourishing and that algorithms need to be used carefully. Managers are advised to consider technology limitations and implement solutions knowing their pros and cons.

1. This presentation is made as
part of Data Analytics Internship
by Prof Sameer Mathur
IIM LUCKNOW

2. In this Article
How manger implement work load
on the clients
How this can be resolved
What is problem in manager’s
Decision .

3. What People Analytics Can’t Capture
Many businesses are reaping rewards from big
data analytics. But there are also some areas
of disappointment. Experts caution that big
data, like any other, is only as good as the
questions being asked – and that some
algorithms can make unhelpful assumptions.

4. Key words…
The business world is now
gradually warming up to a new
buzz term “people analytics,”
which is essentially a more human
subset of big data. The term is
taking the corporate world, and
especially the human capital
management space, by storm.

5. Statistics means never having to say you are certain

6. UNPREDICTED
Biggest objection comes from the fact that
the strongest predictor of a person’s future
behavior is their past performance itself.

7. A Majority suffers from
 Managers Over pressure
 Sort term targets
 Working environment depends on previous work done.
 Managers force his people to work hard to meet quarterly targets

8. INSIGHTS
 Big data needs a hard
outcome metric for
performance, but the most
readily available metrics may
not actually be the most
important variables in
organizational flourishing.
 Experts caution that big
data, like any other, is only
as good as the questions
being asked – and that
some algorithms can make
unhelpful assumptions

9. Insights relevant to a
Manager
 The more we depend on algorithm ,
numeric values the problem of employee
will not be reduced
 Have to implement more technologies
knowing their pros and cons

10. Thank YOU…….

11. Name:
Soumyadeep Sengupta
College:
University of Engineering and
Management , Kolkata
Email:
Soumyadeepsen97@gmail.com