Prioritizing Data, Products, and Adoption
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This unit guides learners through prioritizing data and data-product opportunities, designing user adoption and replication strategies, and establishing performance measurement to scale digital and AI initiatives. Learners apply case-study insights and talent/recruiting considerations to align technical opportunity with business domains and organizational readiness.
Learning Objectives
- Analyze organizational data sources and prioritize them by business value, feasibility, and domain alignment to identify high-impact data-product opportunities
- Evaluate data-product concepts and design a two-pronged user adoption and replication approach that supports scalable rollout across prioritized domains
- Design a performance-management architecture with measurable KPIs and monitoring plans to track product impact, operational performance, and scalability over time
- Assess current digital talent and recruiting practices and develop a candidate-centered recruiting and leader-contribution plan to supply and sustain the workforce needed for scaled digital and AI transformation
Curriculum
- 1 Section
- 16 Lessons
- 30 hours
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- Unit 2 — Prioritizing 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
Free
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