Let’s Talk About Data Strategy
summary
Thames Water builds a product-led data factory on Azure: small agile teams deliver MVP apps that predict leaks and blockages, shown in regular show‑and‑tells to 40+ stakeholders to prove value. A reusable platform model enforces bronze/silver/gold data quality layers, shifts ownership into business outcomes, and grows in‑house data science and data engineering skills (hire data engineers early). Partners co‑create rather than sell boxed solutions; progress is real but slower than hoped because of legacy silos and ten‑year single‑person decision dependencies.
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chapters (13)
- 0:00Introduction to data strategy
- 2:28Microsoft’s inclusive mission
- 4:37Data strategy formula
- 6:44Thames Water challenges
- 9:31Business alignment and quick wins
- 11:55Building data-driven culture
- 13:40Breaking down silos
- 15:47Quick wins and tangible demos
- 16:49Capability and skills development
- 19:19Lessons from implementation
- 21:46Data products and governance
- 24:56Partner ecosystem journey
- 27:06Top lessons learned
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