Many businesses still manage their data in silos, leading to duplicate entries, inconsistent reporting, and compliance risks. That’s where a combined approach to data governance master data management becomes crucial.
As outlined in PiLog’s article What, Why & How of Data Governance 101, data governance defines the rules, responsibilities, and processes for handling data, while MDM creates a single source of truth across systems.
When implemented together, they ensure that enterprise data is not only well-structured but also trusted and governed throughout its lifecycle—leading to improved analytics, customer experience, and regulatory readiness.