Why is data validation important in SAP MDG?

Data validation plays a crucial role in SAP Master Data Governance as it ensures that master data is accurate, complete, and consistent with the business rules and standards set by the organization. This process involves checking the data entered against predefined criteria, which helps in identifying any discrepancies or errors early in the data lifecycle.

When master data is validated properly, it leads to improved decision-making, as stakeholders can rely on the accuracy of the data they are using. Accurate data also enhances reporting capabilities, enabling organizations to analyze trends and make informed business decisions. Additionally, high-quality data fosters trust among users and systems that consume this data, aligning with compliance requirements and operational efficiency.

While enhancing system performance, simplifying user access, and preventing unauthorized data storage are important aspects of data management, they do not directly address the core purpose of data validation within the context of ensuring the reliability and integrity of master data. Therefore, ensuring master data accuracy and adherence to business standards is fundamentally why data validation is prioritized in SAP MDG.