DCAM v3 is the industry benchmark for building trusted, compliant, AI-ready data foundations. It cuts through complexity and shows you exactly how to mature your data capabilities: from data quality and governance to metadata, architecture and analytics.
In this guide, you’ll get a clear, practical view of what ‘good’ looks like, what’s changed in v3, and how leaders use DCAM to reduce risk, cut data debt, and scale innovation.
And because we helped shape DCAM v3, the insights in this download are grounded in real-world delivery, not consultancy jargon.
In this guide we outline:
- The core DCAM v3 capabilities every enterprise needs
- What’s new in v3 and why it matters for AI, regulation and data trust
- How leading organisations use DCAM to build measurable, board-ready data maturity
- Why consistent standards, ownership and metadata now make or break AI adoption
Mark McQueen
Managing Partner & CEO, Head of North America
