Panel: The Data Mesh transformation journey
summary
Panelists describe real outcomes: biotech uses data to shorten drug discovery where only ~35% of candidates reach trials, development averages 12 years and ~$2B with <10% approval; aviation cuts a three‑week analytics process to a few hours and saves a team of 10 from ~160 hours/week of manual work. They adopt data as a product and a new operating model—piloting fast, proving ROI, then scaling—and plug modern tools like Databricks into the stack.
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chapters (10)
- 0:00Data mesh transformation intro
- 1:29Why adopt data mesh
- 3:20Panelists' initial goals
- 7:20First successes
- 9:49Shift to business-as-usual
- 14:37Lessons from pioneers
- 16:22Data as a product
- 18:34Role of product managers
- 21:08Technology and tools
- 23:58Key takeaways
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