Introduction
Introduction
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1. Measuring Employee Experience
Why employee experience matters
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How to measure employee experience
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Employee surveys do's and don'ts
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How to improve employee experience
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Challenge: Improve new hire experience
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Solution: Improve new hire experience
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2. Analytics Application: Talent Acquisition and Hiring
How to measure effectiveness of talent acquisition
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How to improve the effectiveness of TA with analytics
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Challenge: Storytelling with quality of hire
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Solution: Storytelling with quality of hire
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3. Analytics Application: Retention and Attrition
How to measure employee attrition
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How to improve employee retention with analytics
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Factors that affect employee attrition
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How to predict employee attrition
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Challenge: Storytelling with talent retention
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Solution: Storytelling with talent retention
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4. Analytics Application: Diversity and Inclusion
How to measure diversity and inclusion
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How to improve diversity and inclusion with analytics
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Challenge: Storytelling with diversity and inclusion
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Solution: Storytelling with diversity and inclusion
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5. Analytics Application: Strategic Workforce Planning
How to get started with strategic workforce planning
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How to translate business strategy into demand forecast
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How to forecast labor supply
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Challenge: Labor demand forecast
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Solution: Labor demand forecast
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6. The Role of AI in People Analytics
Innovation in AI
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The power of AI in people analytics
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The risks of AI in people analytics
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How to implement AI in HR
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Conclusion
Next steps and additional resources
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Ex_Files_Data_Science_Using_People_Analytics.zip
(164 KB)