Fireside With Natwest: Inside Their Data & Analytics Machine
summary
NatWest describes moving from centralized warehouses to a product‑centric, federated architecture that queries data where it lives using Starburst/Trino to support analytics over petabytes and enable elastic compute. The bank reports serving 18–20 million customers, builds Customer 360 via registries and logical views, and pilots use cases that claim up to 40% efficiency on AML/fraud workflows. Priorities: cloud migration, federated data engineering, reskilling/retention, small cross‑functional product teams, and engineering for passme resilience.
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chapters (11)
- 0:00Introduction and welcome
- 0:42Arun Mehta’s background
- 2:50Key traits of data-driven orgs
- 10:18Offense vs defense in banking
- 12:44Innovation in financial services
- 15:34Thoughts on data mesh
- 18:19Retention and reskilling challenges
- 20:48Getting business buy-in
- 23:17Valuing data assets
- 26:05Data as new oil in M&A
- 26:51Q&A session
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