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What People Analytics
Can’t Capture
by Daniel Goleman
UNDER GUIDANCE OF
PROF.SAMEER MATHUR.
IN HUMAN RESOURCES,
USING BIG DATA
ANALYTICS AND
PERSONALITY TEST
SCORES TO PREDICT WHO
IS BEST FOR A GIVEN JOB –
SO-CALLED “XQ.”
Essence of the article
Many data analyst’s are
benefical
because of bigdata
And getting huge
wages along with
additional business
rewards.
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.
NOTHING IN THE
WORLD IS FREELY
AVAILABLE !
INSIGHT
Inorder to overcome the
bigdata we need to strive
hard to overcome its
performance.literally there
are some preexisting
metrics are available ,but
those metrics are not
impacting a lot.
“A typical manager is a person who
literally
Preasurize the team-members”
“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.”
“As Laszlo Bock, head of hiring at Google explained, the very fact the company knows so
much about algorithms lets it see their limits. The assumptions built into a test can
themselves be biased against certain traits and so discriminate unfairly.”
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.
Week4 Day3

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Week4 Day3

  • 1. What People Analytics Can’t Capture by Daniel Goleman UNDER GUIDANCE OF PROF.SAMEER MATHUR.
  • 2. IN HUMAN RESOURCES, USING BIG DATA ANALYTICS AND PERSONALITY TEST SCORES TO PREDICT WHO IS BEST FOR A GIVEN JOB – SO-CALLED “XQ.” Essence of the article
  • 3. Many data analyst’s are benefical because of bigdata And getting huge wages along with additional business rewards.
  • 4. 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. NOTHING IN THE WORLD IS FREELY AVAILABLE !
  • 5.
  • 6. INSIGHT Inorder to overcome the bigdata we need to strive hard to overcome its performance.literally there are some preexisting metrics are available ,but those metrics are not impacting a lot.
  • 7. “A typical manager is a person who literally Preasurize the team-members”
  • 8. “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.”
  • 9. “As Laszlo Bock, head of hiring at Google explained, the very fact the company knows so much about algorithms lets it see their limits. The assumptions built into a test can themselves be biased against certain traits and so discriminate unfairly.”
  • 10. 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.