Which characteristic of DQ metrics emphasizes the need for oversight?

Which characteristic of DQ metrics emphasizes the need for oversight?

• A. Accountability/stewardship
• B. Measurability
• C. Controllability
• D. Trending

Answer: (A)

The characteristic of data quality (DQ) metrics that emphasizes the need for oversight is accountability/stewardship. This highlights the importance of having designated roles and responsibilities for managing data quality within an organization. When accountability and stewardship are established, there is a clear expectation that individuals or teams are responsible for maintaining the integrity and quality of data. This oversight is crucial because it ensures that data is regularly monitored, assessed, and improved upon as needed. The presence of accountability creates a culture where stakeholders are aware of their responsibilities and the impact of their actions on data quality. This leads to better decision-making, compliance with regulations, and overall improvement in data management practices. While measurability pertains to the ability to quantify data quality metrics, controllability refers to the capability to manage the processes affecting data quality, and trending focuses on the analysis of data quality over time, none of these aspects directly emphasize the necessity for oversight in the same way that accountability/stewardship does.

The characteristic of data quality (DQ) metrics that emphasizes the need for oversight is accountability/stewardship. This highlights the importance of having designated roles and responsibilities for managing data quality within an organization. When accountability and stewardship are established, there is a clear expectation that individuals or teams are responsible for maintaining the integrity and quality of data.

This oversight is crucial because it ensures that data is regularly monitored, assessed, and improved upon as needed. The presence of accountability creates a culture where stakeholders are aware of their responsibilities and the impact of their actions on data quality. This leads to better decision-making, compliance with regulations, and overall improvement in data management practices.

While measurability pertains to the ability to quantify data quality metrics, controllability refers to the capability to manage the processes affecting data quality, and trending focuses on the analysis of data quality over time, none of these aspects directly emphasize the necessity for oversight in the same way that accountability/stewardship does.