What does Accuracy measure in data quality?

What does Accuracy measure in data quality?

• A. The extent to which data correctly reflects the real-world instances it is supposed to depict.
• B. The speed of data retrieval.
• C. The amount of storage used.
• D. The ease of updating data.

Answer: (A)

Accuracy in data quality is about how close the data values are to real-world facts they’re meant to represent. It means the information reflects the true values—for example, a customer’s stored address or date of birth should match the actual, verifiable facts. This focus on truthfulness distinguishes accuracy from how fast you can get the data, how much storage it uses, or how easy it is to update. Speed relates to performance, storage amount to data volume, and ease of updating to maintainability; none of these measure whether the data points themselves are correct.

Accuracy in data quality is about how close the data values are to real-world facts they’re meant to represent. It means the information reflects the true values—for example, a customer’s stored address or date of birth should match the actual, verifiable facts. This focus on truthfulness distinguishes accuracy from how fast you can get the data, how much storage it uses, or how easy it is to update. Speed relates to performance, storage amount to data volume, and ease of updating to maintainability; none of these measure whether the data points themselves are correct.