Exam DMF topic 1 question 31 discussion

When integrating a large number of systems, each system often has its own data structures, definitions, and formats. This creates complexity in data mapping, transformation, and reconciliation. One effective way to reduce this complexity is to establish a common data model (CDM) that standardizes data definitions and structures across systems. A common data model serves as a shared reference that enables consistent interpretation of data, simplifies data integration by reducing the number of required transformations, and improves communication across systems. It also ensures semantic consistency and supports better data governance and scalability in enterprise architecture. This approach aligns with the Data Architecture and Data Integration disciplines of the DAMA-DMBOK framework, which emphasize the importance of standardization and shared data models to reduce integration efforts and improve data interoperability.