Which of the following is an example of Data Quality in governance?

Data Quality in governance refers to the measures and practices put in place to ensure that data is accurate, consistent, and reliable for decision-making. Among the options presented, data validation stands out as a critical component of data quality.

Data validation involves checking the correctness and quality of data before it is processed or analyzed. This can include verifying data formats, ensuring completeness, and checking for duplicate records. By implementing robust data validation processes, organizations can significantly enhance the integrity of their data, thereby improving its reliability for analytical purposes.

While other options, such as access control, content promotion, and data certification, play roles in overall data governance, they focus on different aspects. Access control is primarily concerned with who has permission to access data, while content promotion deals with moving data through various stages of the governance pipeline. Data certification pertains to the process of formally recognizing data as meeting certain quality standards, which can be seen as a subsequent step after validation.

Thus, data validation is at the heart of ensuring data quality, making it the most relevant example in this context.