A city council asks whether making data more 'accurate' always makes it more 'complete.' What is the sound information-management answer?
Select an answer to reveal the explanation.
Short Explanation
Accurate and complete are siblings, not twins—you can fill every blank with guesses and still be wrong, or leave blanks while the known facts are perfect. Dimensions can move separately and sometimes trade off. Do not assume one lever lifts both.
Full Explanation
Data quality dimensions such as accuracy and completeness are related but distinct. Improving correctness of existing values does not automatically fill missing required fields, and forcing completeness without reliable sources can harm accuracy. Practitioners should measure and manage dimensions separately while recognizing possible trade-offs.