Using AI to rethink data governance
The KPMG modern data governance (MDG) platform turns enterprise data governance from a passive compliance function into an active, collaborative system of engagement. AI-assisted capabilities help users quickly discover, understand, and trust data while creating measurable enterprise value by connecting technical execution with business strategy.
Our MDG platform isn’t simply an update to legacy catalogs; it helps reimagine what data cataloging and governance should look like in a fast-moving, AI-enabled enterprise. Unlike traditional tools that are often compliance-focused, difficult to adopt, and built mainly for central data teams, this application is designed to be the natural starting point for anyone working with data—from data and AI engineers to analysts and business stakeholders. MDG is more than a system of record, it creates a system of engagement where users are motivated to collaborate every day.
What makes the KPMG-built modern data governance platform different?
MDG stands apart by helping make data governance collaborative, intuitive, and embedded in the way people work. It brings data producers and consumers into a shared environment where they can annotate assets, follow entities, build living documentation, tag colleagues, and discuss datasets in context. This moves governance beyond back-office compliance. As participation grows, metadata improves, trust increases, and usage compounds, creating a self-reinforcing cycle of adoption and value.
Who benefits from MDG?
Our MDG is designed for organizations at every stage of their data-modernization journey. It supports teams still managing legacy data warehouses as well as organizations building AI-ready data products with highly autonomous analytics teams. Across these environments, it provides the context, clarity, and connection people need to understand, govern, and trust enterprise data. The result is a flexible daily interface that can meet teams where they are while supporting where they are headed next.
