What aspect of master data does data governance in SAP MDG primarily focus on?

Data governance in SAP Master Data Governance (MDG) primarily focuses on ensuring compliance and accuracy of master data. This involves establishing policies, processes, and standards to maintain high-quality data that is reliable and consistent across the organization. The core goal of data governance is to ensure that the master data meets the business requirements and adheres to regulations, thus supporting decision-making and operational efficiency.

Accurate master data is crucial because it influences various business processes such as reporting, analytics, and operations. Ensuring compliance means that the data adheres to external regulatory requirements as well as internal policies, thereby helping organizations avoid risks related to bad data.

Other aspects such as software updates, database storage optimization, and employee training on IT systems are important to the overall IT infrastructure and data management strategy, but they do not directly pertain to the governance of the master data itself. The focus of governance is specifically on the integrity, quality, and regulatory compliance of the data, which is essential for effective data management within SAP MDG.