Enabling Effective Data Use: Terminology, Semantics, and Structures

Data Governance professionals work with business terms, glossaries, semantic models, taxonomies, ontologies, data models, and domain structures — even when specialists in other disciplines create many of these artifacts.
This course shows how these artifacts differ, how business meaning moves into data structures, and how they connect across an organization. You will see how business and data domains shape model scope, how centralized and decentralized architectures change the artifact landscape, and where shared concepts require enterprise coordination.
The practical focus is on what these architectural decisions mean for your Data Governance work: maintaining consistent meaning, clarifying ownership, coordinating artifacts, and recognizing where governance must operate across domain boundaries.