This unit guides students in prioritizing HR data sources and designing data products that deliver business value, with emphasis on user adoption and scalable replication. Learners will construct performance management architectures and KPIs, analyze digital talent, and apply lessons from real-world digital and AI transformation case studies to design candidate-centered recruiting experiences.
Learning Objectives
- Analyze and prioritize organizational HR data sources and domains using criteria of business value, feasibility, and alignment with strategic goals
- Design a repeatable data product approach that includes replication strategy and a two-pronged user adoption plan addressing both technical and behavioral levers
- Evaluate performance management architectures by selecting and defining measurable KPIs and reporting frameworks that align with organizational outcomes and talent strategies
- Apply lessons from digital and AI transformation case studies to assess existing digital talent, prioritize HR domains for transformation, and design a candidate-centric recruiting experience
Curriculum
- 1 Section
- 16 Lessons
- 30 hours
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- Unit 2 — HR Data Products and Adoption16
- 1.1Identifying and prioritizing data20 mins
- 1.2Identifying data products that generate value20 mins
- 1.3Two-pronged user adoption20 mins
- 1.4Designing an effective replication approach20 mins
- 1.5Performance management architecture and KPIs20 mins
- 1.6A copper mining business’s AI transformation journey20 mins
- 1.7A multinational bank’s digital and AI transformation journey20 mins
- 1.8From the three of us20 mins
- 1.9From Eric20 mins
- 1.10From Kate20 mins
- 1.11From Rodney20 mins
- 1.12Contributing Leaders20 mins
- 1.13Alignment20 mins
- 1.14Prioritizing domains20 mins
- 1.15Understanding the digital talent you have20 mins
- 1.16A recruiting experience built around the candidate20 mins
Instructor
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