What is data quality management in SAP MDG?

Data quality management in SAP Master Data Governance (MDG) focuses on assessing, validating, and improving the accuracy and consistency of master data. This is crucial because master data forms the backbone of business operations, enabling organizations to make informed decisions based on high-quality data.

Accurate and consistent master data ensures that all departments within an organization are aligned and working from the same information, which enhances collaboration and operational efficiency. Data quality management involves various activities, including data cleansing, standardization, and enrichment, which help maintain the integrity of master data over time.

By implementing these processes, organizations can reduce errors, avoid duplicates, and ultimately improve both customer satisfaction and internal workflow efficiency, making data quality management a foundational element of SAP MDG.

Understanding and engaging in data quality management practices can lead to better analytical outputs, strategic decision-making, and compliance with standards, which underscores its importance within the SAP MDG framework.