Definition How accurate, complete, consistent and up to date data is, and therefore how far it can be trusted.
Example A customer table with duplicate customers and missing country values can distort revenue analysis.
See how it works Data issue Duplicate customer rows
Possible effect Overcounted customers
Assess completeness, consistency, validity, accuracy and timeliness against the intended use.
Check your understanding Common mistake: Technically complete records may still be incorrect or unsuitable for a decision.
Can data have no missing values yet be poor quality?
Show explanation Yes. Values may be wrong, inconsistent or out of date.
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Choose your role to see what this term means in your work.
Why it matters Decisions are only as good as the data behind them.
Where it is used Report issues, data audits and system migrations.
