Which term describes actions taken to correct data quality problems after discovery?

Which term describes actions taken to correct data quality problems after discovery?

• A. Preventive data quality actions
• B. Data entry forms
• C. Corrective data quality actions
• D. Reports

Answer: (C)

Corrective data quality actions are the steps taken to fix data quality problems after discovery. They address issues that have already been found, such as correcting incorrect values, removing duplicates, standardizing formats, and updating records so the data again meets accuracy and consistency goals. This is different from preventive data quality actions, which aim to stop problems before they occur—like enforcing validation rules and constrained data entry. Data entry forms and reports support data quality but are not the corrective actions themselves. After making corrections, it's common to add preventive measures to prevent recurrence.

Corrective data quality actions are the steps taken to fix data quality problems after discovery. They address issues that have already been found, such as correcting incorrect values, removing duplicates, standardizing formats, and updating records so the data again meets accuracy and consistency goals. This is different from preventive data quality actions, which aim to stop problems before they occur—like enforcing validation rules and constrained data entry. Data entry forms and reports support data quality but are not the corrective actions themselves. After making corrections, it's common to add preventive measures to prevent recurrence.