Data Mesh symphony: Orchestrating a synchronized data and business strategy ensemble
summary
Claims that Data Mesh aligns business goals to data by treating datasets as data products and delivering them via a self‑service data platform; a pharma rollout across 100+ countries and four IT orgs builds a dead stock analyzer from domain data, adds SLOs (example: refresh every 2 minutes), cuts duplicated platforms and manual data-prep, raises trust and compliance, and yields faster time-to-insight; cites 84% organizations aiming to be data-driven and warns of compliance costs like a €1.2B fine.
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chapters (15)
- 0:00Intro
- 1:43The downfall of data strategy: A closer look
- 3:25The downfall of data strategy: A deep dive perspective
- 7:07Ineffective data strategy: A costly mistake
- 10:59Alignment with business outcomes
- 12:23Formulation of new ways of working
- 14:10Architecture - Data products and platforms
- 15:25Data Mesh Delivering a robust data strategy
- 16:50Client Story
- 20:35Data Mesh: Enabling a thriving data strategy journey
- 28:29Data Mesh: Transforming the Operating Model
- 31:59Data Mesh approach to org-wide Data Platform
- 33:03Data Mesh: Unlocking value at scale with unmatched speed
- 34:04Data Mesh: Business impact across cost and operational efficiencies
- 35:12Curating a Data Strategy: Vital questions to address
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