This process is a key part of Master Data Management (MDM) focused on creating, maintaining, and harmonizing data models to ensure consistent, accurate, and interoperable master data across the organization or within a data domain. It aligns master data with enterprise-wide objectives and uses Semantic Data Models (ontologies, taxonomies, and controlled vocabularies) to define meaning and context. This process reconciles discrepancies across systems, harmonizes attributes, and creates mappings between source and enterprise or domain models to support seamless integration and enterprise-wide understanding.
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Publisher | DAMA |
Source | Data Management Body of Knowledge 2nd Edition (DMBoK2) |