SlideShare a Scribd company logo
1 of 11
{
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.
• 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.
There’s a saying in the sciences, “Statistics
means never having to say you are certain.” in
any massive data analysis, for instance, there
will be random c correlations that look
significant but actually are noise, not signal.
STATISTICS
Big data needs a hard outcome metric for
performance, but the most readily available
metrics may not actually be the most
important variables in organizations
flourishing.
Managerial Relevance
The more we depend on algorithm,
numeric values problems of
employee will not be reduced but
we need to implement more
technologies knowing their pros and
cons.
THANK YOU!

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What people analytics can’t capture

  • 1. {
  • 2.
  • 3. 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.
  • 5. • 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.
  • 6. There’s a saying in the sciences, “Statistics means never having to say you are certain.” in any massive data analysis, for instance, there will be random c correlations that look significant but actually are noise, not signal. STATISTICS
  • 7.
  • 8. Big data needs a hard outcome metric for performance, but the most readily available metrics may not actually be the most important variables in organizations flourishing.
  • 10. The more we depend on algorithm, numeric values problems of employee will not be reduced but we need to implement more technologies knowing their pros and cons.