Data Products, Adoption, and Performance
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This unit guides learners through identifying and prioritizing data, designing value-generating data products, and creating adoption and replication strategies to scale solutions. Students examine performance management and KPI architectures, learn from industry transformation case studies, and prepare talent and recruiting strategies to build digital-capable teams.
Learning Objectives
- Analyze organizational data sources and prioritize datasets for product development using impact, feasibility, and strategic alignment criteria
- Design a two-pronged user adoption and replication plan for a data product that includes stakeholder alignment, change management tactics, and domain prioritization
- Evaluate performance management architectures and define measurable KPIs to monitor product adoption, business impact, and continuous improvement
- Apply lessons from transformation case studies to assess current digital talent, identify gaps, and create a candidate-centered recruiting approach to staff scalable digital initiatives
Curriculum
- 1 Section
- 16 Lessons
- 30 hours
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- Unit 2 — Data Products, Adoption, and Performance16
- 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
Free
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