Implementing effective Data Strategy in organisation
summary
Argues that a data strategy does not require a half‑million budget and can begin with 10, 100 or 15,000; prioritises people over tech, then lists concrete steps: 1) align with business or department, 2) capture ideas and user needs, 3) categorize and validate, 4) estimate cost and time and use a 2x2 risk vs effect matrix to pick projects. Recommends cheap Open Source stacks, simple warehouses/lakes and dashboards, and stresses act fast to show value rather than overplanning.
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chapters (14)
- 0:00Data strategy introduction
- 1:49Why need data strategy
- 3:16Defining data strategy
- 5:45Myths on cost and complexity
- 7:30People in data strategy
- 10:02Technology in data strategy
- 12:06Steps to build strategy
- 13:30Align strategy with goals
- 16:39Prioritize infrastructure and skills
- 18:07Capturing ideas and needs
- 20:13Value and risk in projects
- 21:42Costs and timelines
- 23:54High-impact initiatives
- 24:16Importance of action
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