What is a Master Data Management?

Most organizations accumulate the same entity — a customer, say — duplicated with slightly different data across a CRM, a billing system, a support platform, and a marketing tool, and without MDM, each system's copy drifts as updates happen in only one place at a time. MDM solves this by designating (or building) a golden record for each entity, establishing rules for which system's data wins on conflict, and propagating updates from that source of truth out to consuming systems, rather than letting each system independently believe it's authoritative. The hard technical problem underneath MDM is entity resolution: correctly recognizing that "Acme Corp" in one system and "Acme Corporation, Inc." in another are the same company, which increasingly uses fuzzy matching and machine learning rather than exact string matching alone. Getting entity resolution wrong in either direction is costly — falsely merging two distinct customers corrupts real data, while failing to merge duplicates perpetuates the fragmentation MDM exists to fix — so mature implementations flag low-confidence matches for human review rather than auto-merging everything.