Which is a metric tracked in data quality assessments?

• A. Data latency
• B. Data quality score
• C. Data processing speed
• D. Data volume

Answer: (B)

In data quality assessments, you track a data quality score, a single, interpretable measure that reflects how trustworthy the data is. This score is built by evaluating multiple quality dimensions—such as accuracy, completeness, consistency, timeliness, validity, and uniqueness—and combining them into a composite value. It lets teams quickly assess overall quality, set thresholds, and monitor improvements over time. The other options describe aspects of data handling or system performance (how fast data arrives, how quickly processing occurs, or how much data exists) and don’t directly capture the overall quality of the data content.