What People Analytics Can’t Capture by Daniel Goleman

1. What people
analytics can’t
capture ??

2. • Data analysis, for instance, there will be random
correlations that look “significant” but actually are noise, not
signal.
• Statistics means never having to say you are certain.

3. 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.
1st Insight:

4. • 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.
• while destroying the emotional climate that
sustains the life-blood of any organization.
• A manager – like the demotivating petty
tyrant mentioned above –can force his people
to work hard to meet quarterly targets.

5. • An outcome metric like an executive’s earnings
performance, while ignoring his role as a boss and his
impact on the morale, loyalty, focus, and stress levels
of his direct reports, may result in a false indication of
who’s really the best boss.
2nd Insight:

6. We have long known that
managers who focus too
much on performance at the
expense of people can be
ruinous to the organization
over the long term.

7. • At Google, that bastion of algorithms
emerging from giant data sets, engineers
refused to use just such a method to
decide on promotions.

8. • while destroying the emotional climate
that sustains the life-blood of any
organization.
• A manager – like the demotivating petty
tyrant mentioned above –can force his
people to work hard to meet quarterly
targets.

9. • Biggest objection comes from the fact
that the strongest predictor of a person’s
future behaviour is their past performance
itself. • And that performance gets
evaluated best by people who know that
person well.

10. Raj Kapoor
National Institute of
Technology , Rourkela