Which term refers to actions taken to preclude data quality problems?

Which term refers to actions taken to preclude data quality problems?

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

Answer: (A)

Preventive data quality actions are proactive steps taken to stop data quality problems before they happen. This means designing and enforcing controls at the source—during data capture and initial storage. Examples include setting up database constraints (such as NOT NULL, valid data types, domain constraints, and foreign key relationships), input validation in applications, standardized data formats, data dictionaries, and automated validation rules. By catching issues at the point of entry, you prevent bad data from entering the system and propagating. Corrective data quality actions, by contrast, address problems after they’ve occurred, fixing or cleansing data that’s already in the database. Data entry forms and reports are tools used for data collection and presentation, not the specific actions taken to preclude quality problems, though forms can include validation to support preventive measures.

Preventive data quality actions are proactive steps taken to stop data quality problems before they happen. This means designing and enforcing controls at the source—during data capture and initial storage. Examples include setting up database constraints (such as NOT NULL, valid data types, domain constraints, and foreign key relationships), input validation in applications, standardized data formats, data dictionaries, and automated validation rules. By catching issues at the point of entry, you prevent bad data from entering the system and propagating.

Corrective data quality actions, by contrast, address problems after they’ve occurred, fixing or cleansing data that’s already in the database. Data entry forms and reports are tools used for data collection and presentation, not the specific actions taken to preclude quality problems, though forms can include validation to support preventive measures.