What is the focus of the DQ lifecycle?

What is the focus of the DQ lifecycle?

• A. Creation of data without monitoring
• B. Managing data only after it is problematic
• C. Managing data through its entire lifecycle
• D. Tracking only data outputs

Answer: (C)

The focus of the Data Quality (DQ) lifecycle is on managing data through its entire lifecycle. This comprehensive approach ensures that data is consistently monitored, maintained, and improved from the moment it is created until it is retired or archived. By addressing data quality at all stages—collection, processing, storage, use, and eventually disposal—organizations can better ensure that their data remains accurate, consistent, and relevant over time. This holistic view is critical because it allows for proactive identification and resolution of data issues before they escalate, promoting a culture of data stewardship and responsibility throughout the organization. The proactive management of data quality helps to minimize risks associated with poor data and supports better decision-making based on reliable information.

The focus of the Data Quality (DQ) lifecycle is on managing data through its entire lifecycle. This comprehensive approach ensures that data is consistently monitored, maintained, and improved from the moment it is created until it is retired or archived. By addressing data quality at all stages—collection, processing, storage, use, and eventually disposal—organizations can better ensure that their data remains accurate, consistent, and relevant over time.

This holistic view is critical because it allows for proactive identification and resolution of data issues before they escalate, promoting a culture of data stewardship and responsibility throughout the organization. The proactive management of data quality helps to minimize risks associated with poor data and supports better decision-making based on reliable information.