Using A Data Strategy To Enable Your Business Goals
summary
Asserts that organisations with a prior data strategy withstand shocks better and offers a concrete six-pillar framework (use cases, capabilities: people/operating model/tech/architecture/data management, roadmap) plus an iterative MVP path for data products and emphasis on repeatability and automation. Recommends senior data leadership with board access, prioritising high‑value use cases, and stopping low‑value work. Provides a one‑minute data strategy scorecard (12 questions) and a Level Up roadmap for staging investments and measuring progress.
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chapters (8)
- 0:00Introduction and speaker background
- 1:04Evolution of data strategy over years
- 8:26Six pillars of data strategy framework
- 13:01The role of strong data leadership
- 16:51Agility and adaptability in data strategy
- 20:41Focusing on high value outcomes
- 23:50Repeatability and automation principles
- 26:58Summary and next steps
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