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Predictive People Analytics
D r. D a n i e l M ü h l b a u e r
D e f i n i t i o n – P r o c e s s – U s e C a s e s
People Analytics in Germany
HR CONTROLLING
100%
Source: Kienbaum | n=492
DESCRIPTIVE DIAGNOSTIC PREDICTIVE
51% 23% 13%
+ + +
Dr. Daniel Mühlbauer
Competitive Advantage
The 13% of firms using
predictive analytics in HR
Build knowledge from pilots
Discover stakeholder needs
Foster data mindset and trust
Dr. Daniel Mühlbauer
Predictive People Analytics builds
statistical models based on HR and
business data in order to assess near
future developments of important
HR indicators or employee behaviors.
DANIEL MÜHLBAUER
Definition
Dr. Daniel Mühlbauer
Infer suitable
alternatives for action
based on your predictive
results.
4
Build and apply high-
quality predictive
model ply a for your
question of interest.
3
Gather and connect
relevant data for your
predictive challenge.
2
Define the predictive
challenge as the core
question of interest.
1
The predictive process
(simplified)
Dr. Daniel Mühlbauer
FIND
SKILL MATCHING
Which candidate is the closest match
to the desired skillset for the
vacancy?
EMPLOYER ATTRACTION
Which features of the job ad will likely
attract the talent we are looking for?
JOB PERFORMANCE
Which candidate has the highest
likelihood of showing great
performance after hiring?
OFFER ACCEPTANCE
Which candidate has the highest
likelihood of accepting our offer?
Use cases in this area of people
management usually aim at predicting
the likelihood of “successful
recruitment or personnel selection”.
Dr. Daniel Mühlbauer
GROW
EMPLOYEE ENGAGEMENT
What are the near future
developments of our employee
engagement and which factors drive it?
CAREER PATHING
Which career paths are most likely
for our top talents based on their
current skills?
LEADERSHIP QUALITY
Which employees will make great
leaders and who should be
promoted?
TRAINING EFFECTIVENESS
Which trainings and development
practices will drive employee
engagement and job performance?
Use cases in this area of people
management usually aim at predicting the
likelihood of “successful employee
experience, motivation and growth”.
Dr. Daniel Mühlbauer
KEEP
FLIGHT RISK
What is the near future likelihood of
leaving the company, and which
factors reduce it?
ABSENTEEISM
How will employee absenteeism
develop, and which factors help
decreasing it?
REHIRING
What is the likelihood rehiring a
regrettable leaver in the near future?
Use cases in this area of people
management usually aim at predicting the
likelihood of “successful employee
retention”.
Dr. Daniel Mühlbauer
HAPPY TO CONNECT!
Dr. Daniel Mühlbauer

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Predictive people analytics definition - process - use cases dmühlbauer

  • 1. Predictive People Analytics D r. D a n i e l M ü h l b a u e r D e f i n i t i o n – P r o c e s s – U s e C a s e s
  • 2. People Analytics in Germany HR CONTROLLING 100% Source: Kienbaum | n=492 DESCRIPTIVE DIAGNOSTIC PREDICTIVE 51% 23% 13% + + + Dr. Daniel Mühlbauer
  • 3. Competitive Advantage The 13% of firms using predictive analytics in HR Build knowledge from pilots Discover stakeholder needs Foster data mindset and trust Dr. Daniel Mühlbauer
  • 4. Predictive People Analytics builds statistical models based on HR and business data in order to assess near future developments of important HR indicators or employee behaviors. DANIEL MÜHLBAUER Definition Dr. Daniel Mühlbauer
  • 5. Infer suitable alternatives for action based on your predictive results. 4 Build and apply high- quality predictive model ply a for your question of interest. 3 Gather and connect relevant data for your predictive challenge. 2 Define the predictive challenge as the core question of interest. 1 The predictive process (simplified) Dr. Daniel Mühlbauer
  • 6. FIND SKILL MATCHING Which candidate is the closest match to the desired skillset for the vacancy? EMPLOYER ATTRACTION Which features of the job ad will likely attract the talent we are looking for? JOB PERFORMANCE Which candidate has the highest likelihood of showing great performance after hiring? OFFER ACCEPTANCE Which candidate has the highest likelihood of accepting our offer? Use cases in this area of people management usually aim at predicting the likelihood of “successful recruitment or personnel selection”. Dr. Daniel Mühlbauer
  • 7. GROW EMPLOYEE ENGAGEMENT What are the near future developments of our employee engagement and which factors drive it? CAREER PATHING Which career paths are most likely for our top talents based on their current skills? LEADERSHIP QUALITY Which employees will make great leaders and who should be promoted? TRAINING EFFECTIVENESS Which trainings and development practices will drive employee engagement and job performance? Use cases in this area of people management usually aim at predicting the likelihood of “successful employee experience, motivation and growth”. Dr. Daniel Mühlbauer
  • 8. KEEP FLIGHT RISK What is the near future likelihood of leaving the company, and which factors reduce it? ABSENTEEISM How will employee absenteeism develop, and which factors help decreasing it? REHIRING What is the likelihood rehiring a regrettable leaver in the near future? Use cases in this area of people management usually aim at predicting the likelihood of “successful employee retention”. Dr. Daniel Mühlbauer
  • 9. HAPPY TO CONNECT! Dr. Daniel Mühlbauer