What should be defined in the data model for the SAP Master Data Governance application?

In the context of SAP Master Data Governance, defining the fields that are governed is essential for ensuring data integrity and consistency. The data model serves as the backbone of MDG, allowing organizations to specify which pieces of data are considered master data and require governance. By clearly identifying these fields, users can make informed decisions regarding data validation, quality checks, and maintenance across the organization.

The focus on fields that are governed ensures that the right data elements are maintained accurately and reliably within the system, ultimately contributing to better data management practices. This is critical for achieving organizational goals related to data quality and regulatory compliance.

While user access permissions, report generation settings, and workflow approval processes are important aspects of the overall MDG landscape, they do not directly pertain to the primary structure and content of the data model itself. The emphasis is placed on what constitutes master data, which is foundational to effective governance and alignment with organizational data strategies.