Data-Driven HR: AI-Powered People Analytics for Workforce Planning and Employee Experience

Introduction

• Introduction

1. Measuring Employee Experience

• Why employee experience matters
• How to measure employee experience
• Employee surveys do's and don'ts
• How to improve employee experience
• Challenge: Improve new hire experience
• Solution: Improve new hire experience

2. Analytics Application: Talent Acquisition and Hiring

• How to measure effectiveness of talent acquisition
• How to improve the effectiveness of TA with analytics
• Challenge: Storytelling with quality of hire
• Solution: Storytelling with quality of hire

3. Analytics Application: Retention and Attrition

• How to measure employee attrition
• How to improve employee retention with analytics
• Factors that affect employee attrition
• How to predict employee attrition
• Challenge: Storytelling with talent retention
• Solution: Storytelling with talent retention

4. Analytics Application: Diversity and Inclusion

• How to measure diversity and inclusion
• How to improve diversity and inclusion with analytics
• Challenge: Storytelling with diversity and inclusion
• Solution: Storytelling with diversity and inclusion

5. Analytics Application: Strategic Workforce Planning

• How to get started with strategic workforce planning
• How to translate business strategy into demand forecast
• How to forecast labor supply
• Challenge: Labor demand forecast
• Solution: Labor demand forecast

6. The Role of AI in People Analytics

• Innovation in AI
• The power of AI in people analytics
• The risks of AI in people analytics
• How to implement AI in HR

Conclusion

• Next steps and additional resources