Decathlon

Decathlon is represented here as an enterprise data-and-AI operating-model case built around business domains, a cloud lakehouse, executable governance, and capability transfer into domain teams [src-211].

Key facts

  • The data architecture is organised as business domains, data domains, and data products on a cloud lakehouse rather than only a central BI warehouse [src-211].
  • Data ownership includes KPI definitions, freshness, accuracy, and quality within domains, supported by centrally developed platform capabilities [src-211].
  • Governance is embedded as contracts, lineage, monitoring, tests, documentation, and production gates so automated decisions and agents consume controlled data [src-211].
  • The 3-3-3 delivery mechanism moves from ideation to scoping to delivery, then transfers reusable capability and operating responsibility into business domains [src-211].

Related concepts

Source references

  • [src-211] DataGen – Robin Conquet / Didier Mamma – "Comment le CDO de Decathlon structure sa stratégie data & IA" (2026-07-14)

Robin Cartier perspective

This page is part of Robin Cartier's working AI knowledge graph: a practical research layer for production AI, recommendation systems, experimentation, GEO, and agentic web readiness.

The useful next step is to connect this concept back to applied product leadership and operating models.

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