What Is SAP Master Data Governance (MDG)? Definition and Role
SAP Master Data Governance (MDG) centrally defines and validates master data across an SAP landscape, a data-quality check every AI readiness review runs.
SAP Master Data Governance (MDG)
SAP Master Data Governance (MDG) is SAP's application for centrally defining, validating, and distributing consistent master data, such as customer, vendor, and material records, across an SAP landscape. It's one of the data-quality prerequisites SAP AI readiness assessments check before trusting an AI agent to act on that data.
Master data problems are rarely dramatic on their own. A vendor record duplicated across three systems, a material master with inconsistent units of measure between plants, a customer record that's current in one region and stale in another: none of these break daily operations the way a system outage would. But an AI agent making a cash management decision or resolving a dispute reads whichever record it's pointed at, and it has no way of knowing that record is the wrong one. MDG exists to make sure there's only one correct record to point at in the first place.
For companies planning to activate Joule agents, MDG maturity is worth checking earlier than most implementation timelines assume. Fixing master data after an agent is already misbehaving in production is a far more expensive fix than governing it before rollout.
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AI Readiness: why data quality and governance sit at the center of the readiness framework.
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