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Zach Frank: Pitfalls of Predicative Models in People Analytics
- 1. 1 H R A I Pitfalls of Predictive Modeling in People Analytics
- 2. 2 Global People Analytics and AI for Aramark Regularly advise and consult in both areas as well as broader HR tech ~7 years of predictive modeling experience with logistics, operations, healthcare, and HR data Betterpeopledata.com
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- 14. 14 Data Issues • System complexity • Low investment/tools availability • Limitations of only your own data • Deployment pipelines are rare
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- 21. 21 People Issues • Value perception • Cycle of value prop • Talent availability • Org reticence • Risks of misuse
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- 23. 23 • Policy is process • Lots of great vendors • Investment is growing
- 24. 24 Questions
Notes de l'éditeur
- Welcome and title
- Whoami
- Generally intuitive understanding of value in this space, but not always clear understanding of exactly where that value is
- So let’s draw out the most common places
- Workforce planning has been done for a while now, represents the oldest and most mature use case generally Recruiting is where most of the development and energy is now Retention is kinda the next frontier DE&I is a quickly developing space, but it has significantly more complexity than does Retention Completely unrealized next spaces would be safety
- But we can’t just develop or buy and deploy, why?
- Because there are significant hurdles to this sort of work in HR
- Data Issues System spread – each of those systems have multiple tables, if not both domains and tables Low investment in tools for aggregation and storage
- System spread – each of those systems have multiple tables, if not both domains and tables
- Low investment in tools and teams for aggregation and storage
- 73,000,000 hires vs ~110,000
- 73,000,000 hires vs ~110,000
- Can’t deliver insights or information back to the business Back to tech issues
- Can’t deliver insights or information back to the business Back to tech issues
- People Issues All problems at a deep enough level are people problems
- People Issues Lack of investment due to lack of perceived value
- People Issues 2 layer chicken and the egg problem – it’s hard to prove value without investment
- People Issues Lack of available talent
- People Issues Org reticence
- People Issues Misuse of data
- People Issues Misuse of data