Call Girls In ⇛⇛Chhatarpur⇚⇚. Brings Offer Delhi Contact Us 8377877756
"What People Analytics Can’t Capture" by Daniel Goleman
1.
2. TIME’s recent cover story on
the latest fad in human
resources, using big data
analytics and personality test
scores to predict who is best
for a given job – so-called
“XQ.”
5. 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.
7. In any massive data analysis,
for instance, there will be
random correlations that look
“significant” but actually are
noise, not signal.
8. The question of what metrics
a personality test uses to
gauge “success.”
9. 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.
10. A manager – like the demotivating
petty tyrant mentioned above –can
force his people to work hard to
meet quarterly targets, for
example, while destroying the
emotional climate that sustains
the life-blood of any organization.
11. 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.
12. Using 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.
13. It’s telling that at Google, that
bastion of algorithms emerging
from giant data sets, engineers
refused to use just such a
method to decide on
promotions.
14. The assumptions built into a test
can themselves be biased
against certain traits and so
discriminate unfairly.
15. But the biggest objection comes
from the fact that the strongest
predictor of a person’s future
behavior is their past performance
itself. And that performance gets
evaluated best by people who
know that person well.