The Making of a Data Organization
summary
Summarizes patterns found across 37 data projects covering about $350B of client revenue and prescribes a reproducible setup: a data strategy plus an Operating Model Canvas and the Value Delivery Process that run pilot → user testing → rollout. Emphasizes packaging models as products (APIs, docs, Excel plugins), explicit role mix (master data, source experts), enablement and training (trained two data engineers in one insurer), and concrete wins — reserve savings and a redesigned first‑notice‑of‑loss workflow.
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chapters (14)
- 0:00Introduction
- 2:05Welcome
- 2:35A simple question
- 3:10About Denys
- 4:38Why do projects fail
- 6:35Consumable artifacts
- 7:50Changing objectives
- 9:23Weak adoption
- 11:03Mismanagement
- 16:12Solution
- 20:42Process
- 22:52Skills Roles
- 24:18Conceptual Framework
- 27:53Case Study
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