3. Is The Problem Really With Lack
Of Talent??
• People complaint that their own boss was a tyrant and bully
who screamed at people for the smallest lapse. He made life
so miserable for his direct reports that many of the best had
moved on to other companies.
4. The Big Data Query
• 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.
5. Deal Better with Noise in Statistics
• 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 correlations
that look “significant” but actually are noise, not signal.
7. What Big Data Really Needs?
• There’s the question of what metrics a personality test uses to
gauge “success.” 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.
9. What managers should never do?
• Managers should never force their employees instead they
should encourage them to meet their Quarterly Targets.
• Managers should never be tyrant and bully who screamed
at people for the smallest lapse.
10. What Managers Should do?
• Managers should be encouraging and supportive towards
their employees.
• Managers should always consider the assumptions to an
algorithm because The assumptions built into a test can
themselves be biased against certain traits and so
discriminate unfairly.