What factor is not typically a characteristic of DQ metrics?

What factor is not typically a characteristic of DQ metrics?

• A. Measurability
• B. Visibility
• C. Business relevance
• D. Accountability/stewardship

Answer: (B)

In the context of data quality (DQ) metrics, characteristics such as measurability, business relevance, and accountability/stewardship are fundamental. Measurability allows organizations to quantify the quality of their data, enabling them to track improvements or declines over time. Business relevance ensures that the metrics align with the organization's goals and provide insights that are valuable for decision-making. Accountability/stewardship emphasizes the role of individuals or teams in maintaining data quality, ensuring there are clear responsibilities for data management. Visibility, while important in the broader scope of data management and awareness of quality issues, is not a core characteristic of DQ metrics themselves. DQ metrics are more focused on how data can be assessed, improved, and kept relevant to the organization's objectives. Visibility may enhance the understanding or awareness of data quality issues but does not define the metrics or their effectiveness in measuring data quality.

In the context of data quality (DQ) metrics, characteristics such as measurability, business relevance, and accountability/stewardship are fundamental. Measurability allows organizations to quantify the quality of their data, enabling them to track improvements or declines over time. Business relevance ensures that the metrics align with the organization's goals and provide insights that are valuable for decision-making. Accountability/stewardship emphasizes the role of individuals or teams in maintaining data quality, ensuring there are clear responsibilities for data management.

Visibility, while important in the broader scope of data management and awareness of quality issues, is not a core characteristic of DQ metrics themselves. DQ metrics are more focused on how data can be assessed, improved, and kept relevant to the organization's objectives. Visibility may enhance the understanding or awareness of data quality issues but does not define the metrics or their effectiveness in measuring data quality.