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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.”
What’s this Article speaking
about?
Many data analyst’s are
benifical
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.
DisappointmentNOTHING IN THE
WORLD FREELY
AVALIABLE !
“STATISTICS MEANS NEVER HAVING TO SAY YOU
ARE CERTAIN.”
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.
Krishna Chaitanya rao

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Analysis of "What People Analytics Can’t Capture" by Daniel Goleman

  • 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.” What’s this Article speaking about?
  • 3. Many data analyst’s are benifical 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. DisappointmentNOTHING IN THE WORLD FREELY AVALIABLE !
  • 5. “STATISTICS MEANS NEVER HAVING TO SAY YOU ARE CERTAIN.”
  • 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.