Implementing Data Governance: Framework & Best Practices
Executive Summary
What is Data Governance?
Why Do We Need Data Governance?
Common Data Governance Terms
How to Implement Data Governance - Best
Practices
- The Implementation Framework
- Establish your Data Governance Foundation
- Build Your Data Inventory: The Crawl Phase
- Smartly Scope Your Implementation
- Govern by use cases
- Protect: Implementing Access Governance
- Comply: Implementing Privacy Laws
- Lineage: Implementing Data Lineage Governance
- Curation: Making the Data Catalog Business-Ready
- Create a Business Glossary
- Data Quality: Defining, Measuring, and Acting on Trust
- Consume
Measuring impact after implementation
- Business Outcomes: The Ultimate Measure of Success
- Measuring Governance Progress Along the Way
Conclusion
This whitepaper is built on knowledge gained from hundreds of real-world implementations. It also captures lessons learned from successes and challenges along the way.
OvalEdge recognized as a leader in data governance solutions
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“Reference customers have repeatedly mentioned the great customer service they receive along with the support for their custom requirements, facilitating time to value. OvalEdge fits well with organizations prioritizing business user empowerment within their data governance strategy.”
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“Reference customers have repeatedly mentioned the great customer service they receive along with the support for their custom requirements, facilitating time to value. OvalEdge fits well with organizations prioritizing business user empowerment within their data governance strategy.”
Gartner, Magic Quadrant for Data and Analytics Governance Platforms, January 2025
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