A library consortium asks why 'data quality' means more than running a spell-check on free-text notes. Which statement best captures the practitioner definition?
Select an answer to reveal the explanation.
Short Explanation
Spell-check is like wiping the windshield and calling the whole car roadworthy. Real data quality asks whether the data is fit for the job—complete enough, consistent enough, timely enough, and correct enough. Typos matter, but they are only one slice of fitness for purpose.
Full Explanation
Practitioner data quality is defined as fitness for intended use evaluated across multiple dimensions. Spelling correction addresses only a narrow surface issue and does not substitute for assessing completeness, consistency, validity, uniqueness, or timeliness against business needs. Framing DQ this way prevents reducing the discipline to cosmetic cleanup.