Data Governance in Large Enterprises
summary
Retail and FMCG groups report concrete results: a three-year data strategy, a cloud single source of truth on Azure, and a virtual Center of Excellence that formalizes Dec 1. They built sales and supply‑chain reporting, plan finance reporting next, and deployed demand‑forecast and suggested‑order models for merchandising. Persistent pain points: fractured ownership across 50+ companies (one group uses 12 markets, another operated in 23 countries), long KPI alignment (months vs days), and an ongoing product master data management project.
AI-written summary · about
chapters (15)
- 0:00Data governance intro
- 3:14Defining governance impact
- 6:02Conference structure
- 7:25Panelist backgrounds
- 15:56Why governance now
- 21:45Project necessity evolution
- 26:27Strategy alignment
- 33:57Ownership roles
- 43:43Complex ownership models
- 51:14Data quality challenges
- 1:00:18Regulatory compliance
- 1:05:14Governance technologies
- 1:10:00Best practices
- 1:13:54Sponsorship change management
- 1:18:35Q&A on tools
related talks
47mData governance
59mInside Atento: Strategies for a Corporate Data Warehouse
40mBuilding trust in your data. Why data governance is the key to success.
16mEnabling Data Driven Enterprise
27mHow To Develop & Operate An Agile Cloud Datawarehouse In A Rapidly Changing Multi-ERP Environment
29mData Management – The Superpower To Delivering Value From Data
42mFour Years of Data Mesh in Practice
28mBig Data: From Testing to Governance