Data & Analytics Strategy: 5 Overlooked Components
summary
A concrete playbook for stopping the cycle of low adoption: a prioritization framework that scores impact versus effort, a maturity model with gray/green/yellow/red bricks that marks non‑applicable capabilities, and a configurator that maps governance drivers to a short list of linked initiatives. Practical examples include a production team of 25 BI/data engineers across six locations and a lightweight data assistant built with precomputed metrics with OpenAI as interface that avoids full LLM reliance and delivers reliable results.
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chapters (9)
- 0:00Introduction
- 2:38Data analytics manager challenges
- 6:53Data analytics strategy map
- 9:47Death cycle of data products
- 14:05Cargo cult in data analytics
- 18:24Data assistant without LLM
- 21:04Reviving data governance
- 23:36Key conclusions
- 25:48Q&A
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