What are the four main steps in the data governance process of MDG?

The process of data governance in SAP Master Data Governance (MDG) involves several critical steps that ensure data integrity, accuracy, and availability throughout its lifecycle. The correct option identifies data creation, data maintenance, data validation, and data distribution as the four main steps.

Data creation involves the initial entry of information into the system, establishing the foundation for all subsequent governance activities. This step is crucial since it sets the standards for the data that will be maintained and governed later.

Data maintenance ensures that existing information is kept up to date and relevant. This involves regular reviews and updates to reflect changes in business processes or requirements, thereby sustaining the quality and accuracy of data over time.

Data validation is essential for checking and confirming the accuracy and reliability of the data entered into the system. This step helps to identify any discrepancies or errors early in the governance process, thus preventing issues from escalating.

Finally, data distribution encompasses the processes involved in sharing and providing access to the data across relevant stakeholders and systems. This ensures that users have the necessary access to accurate and timely data for decision-making.

These steps work together to create a robust framework that governs the lifecycle of data within an organization, helping to align organizational goals with data management practices.