Data Quality Management: A Complete Guide to Dimensions, Processes, and Roles
This article provides a comprehensive overview of data quality management, covering its definition, importance, six assessment dimensions, common issue sources, 12 typical data quality problems, 14 monitoring metrics, organizational roles, and a three-phase management strategy encompassing prevention, control, and remediation.
