What role do data models play in SAP MDG?

Data models in SAP Master Data Governance (MDG) are fundamental because they define the structure, relationships, and rules for master data entities. This is crucial for ensuring that master data is accurate, consistent, and compliant with business rules and regulations. A well-defined data model allows organizations to maintain clarity in data governance processes by specifying how various master data elements relate to one another. For instance, in a data model, you might define the properties of a customer entity, such as the customer's address, contact information, and purchase history, while also establishing how these elements relate to other entities like orders or shipments.

The role of data models goes beyond mere definition; they also enforce the semantics and integrity of the data managed within the system. By setting clear relationships, data models help in preventing redundant or conflicting information and enable efficient data handling during processes like data migration, integration, and reporting.

In contrast, the other choices do not accurately describe the primary role of data models in SAP MDG. Transactional data storage is primarily managed by the database and not specifically by data models. Data models do not serve as backup solutions; backups are managed through other data management practices. While user interface interactions can be influenced by data structure, the main purpose of data models is