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1. Introduction
2. 1. Why HR / People Analytics is vital now.
3. a. The history of HR Analytics.
4. b. The rise of People Analytics.
5. c. HR Skills of the future.
7. People Analytics
8. 2. Overview of what People Analytics is.
9. a. Difference between People Analytics and HR Analytics.
10. b. From descriptive, through predictive, to prescriptive analytics.
11. c. What competencies do you need to become a HR Analytics Guru.
12. d. What is the future of People Analytics
14. Elements of an Organisation
15. 3. What are the key figures to look at in an organization.
16. a. Introduction - 11 Key HR Metrics
17. b. All key People metrics based on company X (large corporation) KBI whitebook.
18. c. How can you connect measures to predict and prescript decision-making.
20. 4. How can we use data to improve the organization.
21. a. Types of data to use in people analytics.
22. b. Case studies on how different organization have used data to solve business issues.
23. i. Google re:Work project.
24. ii. Sigma Company*: Implication-Based Decision Support – from Gartner.
26. Public Sector
27. 5. Creating People Advantage in the Public Sector.
28. a. The current state of public sector HR
29. b. Acting as strategic partner with the overall organization
30. c. Steps to take to launch a HR analytics framework.
32. Next Steps
33. 6. Get started and resources for further inspiration.
34. a. How to get started with people analytics. – introduction, examples.
35. b. People Analytics Starter Kit
36. c. How to build employee trust in people analytics.
38. Summary and Conclusion