Which term describes actions taken to correct data quality problems?

Which term describes actions taken to correct data quality problems?

• A. Preventive data quality actions
• B. Data entry forms
• C. Corrective data quality actions
• D. Data manipulation forms & search forms

Answer: (C)

Corrective data quality actions are steps taken to fix data quality problems that have already occurred. They involve cleaning, standardizing, correcting inaccuracies, removing duplicates, and updating records so data becomes reliable again. This is exactly what the question is asking for—actions aimed at remedying existing data quality issues. Preventive data quality actions, in contrast, aim to stop problems before they happen through measures like validation rules or input controls. Data entry forms are interfaces for capturing data, not processes to fix quality, and data manipulation or search forms are tools for interacting with data rather than specific corrective actions.

Corrective data quality actions are steps taken to fix data quality problems that have already occurred. They involve cleaning, standardizing, correcting inaccuracies, removing duplicates, and updating records so data becomes reliable again. This is exactly what the question is asking for—actions aimed at remedying existing data quality issues. Preventive data quality actions, in contrast, aim to stop problems before they happen through measures like validation rules or input controls. Data entry forms are interfaces for capturing data, not processes to fix quality, and data manipulation or search forms are tools for interacting with data rather than specific corrective actions.