What process ensures the integrity of data throughout its lifecycle in an organization?

The concept that best ensures the integrity of data throughout its lifecycle in an organization is data quality management. This process involves implementing standards, processes, and practices to maintain and improve the quality of data in various stages, from creation to storage and utilization. It focuses on aspects such as accuracy, consistency, completeness, and reliability of data, enabling organizations to make sound decisions based on trustworthy information.

Data quality management involves continuous monitoring and assessment of data quality metrics, thereby preventing issues that could arise from poor data quality. This is crucial for organizations that rely heavily on data for operational purposes, regulatory compliance, and strategic decision-making. By managing data quality effectively, organizations can enhance data accuracy, reduce redundancy, and ensure that data meets the necessary standards throughout its entire lifecycle.