What aspect of data governance does MDG primarily focus on?

MDG primarily focuses on data quality management, which is essential for maintaining accurate, consistent, and trustworthy data across an organization. This emphasis on data quality is crucial because high-quality master data facilitates better decision-making, enhances operational efficiency, and ensures compliance with regulations.

In the context of MDG, data quality management involves establishing rules and processes to cleanse, validate, and enrich master data. This helps organizations prevent the risks associated with poor data quality, such as erroneous business decisions, operational delays, and a lack of stakeholder confidence.

While other aspects, like data replication and data storage solutions, play important roles in data management, they do not capture the core essence of what MDG aims to achieve. MDG’s primary mission is to ensure that master data is not only accurate but also maintained in a way that supports organizational goals and strategies over time.

Data entry speed, while relevant to operational efficiency, does not directly address the foundational aim of ensuring data integrity and quality that MDG prioritizes. Thus, focusing on data quality management provides organizations with a reliable foundation to build their data governance strategies upon.