Leading with Data: Crafting an Effective Strategy for 2023 and Beyond
summary
Argues that an executable data strategy starts with a prioritized roadmap, a data asset inventory and quick wins before building custom models, using templates like data SWAT and off‑the‑shelf MVPs. Shows a client case where fixing data quality and then deploying a chatbot drives toward a 30% wait‑time reduction and reaches target in about two months. Makes the measurable claim that gen AI is ~10% of the AI opportunity and recommends simple analytics (Excel inventory, demand-by-hour offers) before chasing flashy models.
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chapters (6)
- 0:00Data strategy in AI era
- 7:28Why data strategy matters
- 15:00Building data roadmap
- 22:32Business goals to data initiatives
- 26:03Practical data strategy
- 28:56Q&A on generative AI
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