How does SAP MDG ensure data consistency?

SAP Master Data Governance ensures data consistency primarily through the use of validation rules, workflows for approval, and real-time replication.

Validation rules are established within the SAP MDG environment to enforce specific criteria that master data must meet before it can be considered valid. These rules help ensure that the data entered into the system is complete, accurate, and adheres to predefined standards, minimizing the risk of errors or inconsistencies.

Workflows for approval are also a critical component. When changes to master data are proposed, they typically go through a structured approval process. This ensures that modifications are reviewed by the appropriate stakeholders, which helps maintain the integrity of the data being managed. The approval workflows actively involve users in the governance process, further reinforcing data quality.

Real-time replication is another aspect that enhances data consistency. When changes are made in the SAP MDG system, these changes can be immediately reflected across other connected systems, reducing the chance of discrepancies and ensuring that all systems have the most current and accurate data available.

Together, these mechanisms create a robust framework that supports data consistency and integrity within the SAP MDG environment, making option C the most appropriate choice for this question.