Which of the following is a benefit of using a data quality scorecard?

The benefit of using a data quality scorecard lies in its ability to allow organizations to track data quality metrics effectively. A data quality scorecard serves as a vital tool for measuring and monitoring various dimensions of data quality such as accuracy, completeness, consistency, and timeliness. By utilizing a scorecard, organizations can visually represent their data quality status, identify trends, and pinpoint areas needing improvement.

This systematic tracking helps stakeholders understand how data quality is evolving over time and facilitates informed decision-making regarding data management and governance practices. Moreover, regular assessments using a scorecard can lead to actionable insights, ensuring that data practices align with strategic goals and comply with organizational standards.

In contrast, the other options do not capture the primary purpose of a data quality scorecard. It does not eliminate the need for governance, as good governance practices are essential for maintaining data integrity. While it may indirectly support compliance efforts, it is not a legal requirement itself. Additionally, while scorecards can enhance oversight compared to manual audits, they do not outright replace the need for thorough audits since different methods can complement one another in ensuring data quality.