How does SAP MDG support continuous data governance?

SAP MDG supports continuous data governance primarily through a structured approach that includes monitoring, regular audits, and automated quality checks. This is essential for maintaining the integrity and accuracy of master data throughout its lifecycle.

Monitoring allows organizations to continuously track data changes and assess whether the data is compliant with defined quality standards. Regular audits are vital as they provide comprehensive reviews of data periodically to ensure adherence to governance policies and practices. Automated quality checks further enhance this process by providing real-time validation of data against established rules or standards. This combination effectively helps in proactively identifying and rectifying issues, ensuring that high-quality data is always available for decision-making.

In contrast, other approaches mentioned do not encapsulate a comprehensive strategy for fostering ongoing data governance. For instance, one-time audits do not provide a framework for ongoing monitoring, and manual checks can be inconsistent and unreliable. Requiring in-person data entry adds a layer of complexity and does not inherently promote continuous governance. Thus, the integrated approach offered by regular audits, monitoring, and automation represents the most effective method for ensuring continuous data governance in SAP MDG.