Data Quality and Trust

Data quality and trust means being able to rely on the information stored in a database as accurate, complete, and up to date, since decisions and programs built on bad data, like outdated addresses or typos in a spreadsheet, can produce wrong or unfair results even when the software processing that data works perfectly. Improving data quality often involves catching errors when data is first entered, checking for duplicate or missing information, and updating records when the real-world facts they represent change.

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