SlideShare a Scribd company logo
24-02-2016
MDP on HR ANALYTICS
Dr.Devi Soumyaja
School of Management Studies
Cochin University of Science and
Technology
24-02-2016
24-02-2016
• One size fits all approach
• Standardization Vs. Customization
• Isn’t it time to customize HR practices as
well?
• Can HR/Talent management be
customized?
• How?
24-02-2016
Date= Pattern + Noise
Data cleaning is 80% of
the work in HR Analytics
24-02-2016
• HRIS
• HR
scor
e
car
d
• HR
metric
s
• HR
Analy
tics
• Predi
ctive
analyt
ics
• HR
dashbo
ards
24-02-2016
• HR
productivity
metrics
• Human
capital
metrics
24-02-2016
•Descripti
ve
analytics
•Predictiv
e
analytics
24-02-2016
24-02-2016
24-02-2016
24-02-2016
• HrR data only
• Transactional
• High hygiene factor
• FTE
• Turnover
• Labor cost
• Number of new employees
in a given period
• Training/Recruitment cos
24-02-2016
• HR data HR
efficiency
focused
Based on past
data
• Time to fill
• Cost per hire
Recruitment
score
24-02-2016
• Multiple source data-HR
&Business Predictive
Transformational
• Looking at the future
• Optimization of core
people process
• Employee churn risk
predictions
• Performance prediction
Identify characteristics
of hiring success
24-02-2016
• ‘Without actual analytical needs from the line-of-business
itself, the analysis is fated to discover trivial relationships
between HR input variables’.-Pasha Roberts
• Find the business plan and solve it !!!
24-02-2016
• Multiple source data-HR
&Business Predictive
Transformational
• Looking at the future
• Optimization of core
business process and
activities
• Improving call centre agent
‘time to productivity’ ratio,
due to more effective on-
boarding training or
coaching
• Improving client
satisfaction by predicting
account manager churn
risks
• Reducing machine
downtime by better
operator safety training
(based on predictive risk
analysis)
24-02-2016
24-02-2016
• Focus on behaviour of outcomes
• AT & T- Taking initiative is a better predictor for employee
productivity than degree from a top notch college
24-02-2016

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Introduction to HR metrics and analytics

  • 1. 24-02-2016 MDP on HR ANALYTICS Dr.Devi Soumyaja School of Management Studies Cochin University of Science and Technology
  • 4. • One size fits all approach • Standardization Vs. Customization • Isn’t it time to customize HR practices as well? • Can HR/Talent management be customized? • How? 24-02-2016
  • 5. Date= Pattern + Noise Data cleaning is 80% of the work in HR Analytics 24-02-2016
  • 6. • HRIS • HR scor e car d • HR metric s • HR Analy tics • Predi ctive analyt ics • HR dashbo ards 24-02-2016
  • 12. • HrR data only • Transactional • High hygiene factor • FTE • Turnover • Labor cost • Number of new employees in a given period • Training/Recruitment cos 24-02-2016
  • 13. • HR data HR efficiency focused Based on past data • Time to fill • Cost per hire Recruitment score 24-02-2016
  • 14. • Multiple source data-HR &Business Predictive Transformational • Looking at the future • Optimization of core people process • Employee churn risk predictions • Performance prediction Identify characteristics of hiring success 24-02-2016
  • 15. • ‘Without actual analytical needs from the line-of-business itself, the analysis is fated to discover trivial relationships between HR input variables’.-Pasha Roberts • Find the business plan and solve it !!! 24-02-2016
  • 16. • Multiple source data-HR &Business Predictive Transformational • Looking at the future • Optimization of core business process and activities • Improving call centre agent ‘time to productivity’ ratio, due to more effective on- boarding training or coaching • Improving client satisfaction by predicting account manager churn risks • Reducing machine downtime by better operator safety training (based on predictive risk analysis) 24-02-2016
  • 18. • Focus on behaviour of outcomes • AT & T- Taking initiative is a better predictor for employee productivity than degree from a top notch college 24-02-2016