Master Data Management with Knowledge Graphs: Entity Resolution, Golden Records and Customer 360

Master data management (MDM) consolidates fragmented enterprise records into governed golden records, but it often lacks the relationship context needed to understand how customers, suppliers, products, accounts, devices, transactions, and organizations connect. A knowledge graph extends rather than replaces MDM by adding a queryable relationship layer that supports multi-hop analysis, flexible hierarchies, provenance, and continuously updated context. Entity resolution combines deterministic rules, probabilistic matching, and graph-based relationship evidence to determine whether records represent the same real-world entity, while golden-record management establishes the trusted attributes for that entity. Together, MDM and graph technology can enable Customer 360, fraud and identity intelligence, supplier risk analysis, KYC, recommendations, and enterprise AI by linking reliable identities to their surrounding networks. TigerGraph is presented as a relationship intelligence layer that integrates with existing MDM systems, using native graph processing and real-time connected data to support large-scale entity resolution, customer analysis, and operational decision-making.

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