User
Write something
Data Governance Coffee Time is happening in 35 days
Data Ownership RACI: A Clear Framework for Data Governance Success
This guide presents the Data Ownership RACI matrix as a framework to resolve data confusion and improve governance by explicitly defining Responsible, Accountable, Consulted, and Informed roles for data management tasks.
Intro
Hi everyone! I'm Valeh. Glad to join. I’m focused on building data governance in a B2C ecosystem with diverse verticals — banking, payments, and a large marketplace.
🎉 New Resource Available!
The Data Ownership RACI Template is now live in the Data Governance from Scratch course! 🛡️ If you’ve ever struggled to answer "Who owns this data?" or felt the friction between IT and Business regarding responsibilities — this template is your solution. It helps you: ✅ Clarify roles: Finally distinguish between the Data Owner (Accountability), Data Steward (Quality), and Data Custodian (Security). ✅ Cover the full lifecycle: Map responsibilities from Creation to Archival, not just for "business as usual". ✅ Operationalize Governance: Move from theory to practice with a concrete checklist to turn your RACI into action. This is the perfect follow-up to the Data Value Chain Map. Now that you know where value is created, this tool helps you define who is accountable for it. 👉 Go check it out in the course, download the PDF, and let me know in the comments: What is the hardest role to define in your organization?
1-3 of 3
powered by
Data Governance Circle
skool.com/data-governance-hub-2335
A global community for data professionals and business leaders to learn, share, and grow together around Data Governance best practices.
Build your own community
Bring people together around your passion and get paid.
Powered by