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By Daniel Goleman
› Good critical piece by Leadership expert Daniel Goleman.
He points out the possible weakness of using analytics in
assessing people and management performance.
› For example, "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."
› Lots of 'soft' aspects are not easily captured with analytics.
"Character traits like integrity and compassion (which) are
surprisingly strong drivers of business success.“
› "The biggest objection comes from the fact that the
strongest predictor of a person’s future behaviour is their
past performance itself. And that performance gets
evaluated best by people who know that person well."
› Creating new wine is not enough, we definitely need new
bottles too!
› "Without the right kind of culture, leaders who demand
data-based talent decisions, and good storytelling, the
availability of data is not likely to make a great difference in
how organizations manage their talent.
› 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.
› “Statistics means never having to say you are certain.”
› 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..!!
› Using an outcome metric like an executive’s
earnings performance, while ignoring his role as a
boss and his impact on the focus, and stress levels
of his direct reports, may result in a false indication
of who’s really the best boss.
› Managers Pressure.
› Short term targets.
› Working experience depends upon previous work done.
› Manager force his people to work hard to meet quarterly
targets.
› “People Analytics is a rapidly growing area of business
intelligence and data technology that uses people-related
data to optimize business outcomes and solve business
problems.”
› People Data – Employee engagement, demographics,
and skillsets
› Program Data – Project assignments, attendance sheet,
training & development, and leadership programs
participation
› Performance Data – 360 feedback, one-on-one sessions
and surveys
What people analytics can’t capture
What people analytics can’t capture

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What people analytics can’t capture

  • 2. › Good critical piece by Leadership expert Daniel Goleman. He points out the possible weakness of using analytics in assessing people and management performance. › For example, "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."
  • 3. › Lots of 'soft' aspects are not easily captured with analytics. "Character traits like integrity and compassion (which) are surprisingly strong drivers of business success.“ › "The biggest objection comes from the fact that the strongest predictor of a person’s future behaviour is their past performance itself. And that performance gets evaluated best by people who know that person well."
  • 4. › Creating new wine is not enough, we definitely need new bottles too! › "Without the right kind of culture, leaders who demand data-based talent decisions, and good storytelling, the availability of data is not likely to make a great difference in how organizations manage their talent.
  • 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. › “Statistics means never having to say you are certain.”
  • 6. › 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..!! › Using an outcome metric like an executive’s earnings performance, while ignoring his role as a boss and his impact on the focus, and stress levels of his direct reports, may result in a false indication of who’s really the best boss.
  • 7. › Managers Pressure. › Short term targets. › Working experience depends upon previous work done. › Manager force his people to work hard to meet quarterly targets.
  • 8. › “People Analytics is a rapidly growing area of business intelligence and data technology that uses people-related data to optimize business outcomes and solve business problems.”
  • 9.
  • 10. › People Data – Employee engagement, demographics, and skillsets › Program Data – Project assignments, attendance sheet, training & development, and leadership programs participation › Performance Data – 360 feedback, one-on-one sessions and surveys