In information quality terms, what do we call the ratio of correct information to the total amount of information produced over a period?

Introduction / Context:
Organizations evaluate data quality using dimensions such as accuracy, completeness, timeliness, and consistency. A quantitative notion of how much of the information is correct directly impacts trust in reports and decisions.

Given Data / Assumptions:

• Information items can be evaluated as correct or incorrect against ground truth.
• We examine a period output (reports, records, messages).
• We need the term for the proportion that is correct.

Concept / Approach:
Accuracy measures closeness to truth. When framed as a ratio, Accuracy = (Number of correct items) / (Total items produced). Higher accuracy implies fewer errors, rework, and misinformed actions.

Step-by-Step Solution:

Verification / Alternative check:
Data quality scorecards and KPIs typically list accuracy as a percentage, often alongside completeness and timeliness.

Why Other Options Are Wrong:
‘‘concise’’ refers to brevity; ‘‘simulation’’ is a modeling method; ‘‘decision’’ is an outcome, not a quality metric.

Common Pitfalls:
Confusing ‘‘accuracy’’ with ‘‘precision’’; precision relates to variability/consistency, not correctness.

Final Answer:
accuracy