How does SAP Master Data Governance support data quality management?

SAP Master Data Governance (MDG) supports data quality management primarily through its capability to enable mass data processing. This feature allows organizations to manage large volumes of master data efficiently, ensuring that data is kept consistent, accurate, and reliable across the enterprise. With mass data processing, organizations can apply validations and business rules over extensive datasets, facilitate bulk changes, and maintain data integrity—all crucial for upholding high data quality standards.

Furthermore, by streamlining the management of master data in bulk, MDG helps identify inconsistencies or inaccuracies across records, which contributes directly to enhancing overall data quality. This capability is particularly valuable in environments where data is often utilized by various business processes, requiring systematic handling to prevent quality issues.

While real-time data editing, automatic data backups, and managing user roles are all important components of data management, they do not directly target data quality in the same impactful way as the mass processing functionality. Real-time editing might help in making immediate corrections but does not offer the same scalability or systematic oversight that mass data processing provides. Automatic backups are focused on data recovery rather than quality assurance, and eliminating user roles could jeopardize the governance and accountability required to maintain high data standards.