Datakvalitetssikringsprosesser
Datakvalitetssikringsprosesser, often translated as data quality assurance processes, refers to the systematic procedures and activities undertaken to ensure that data is accurate, complete, consistent, timely, and valid. These processes are crucial for organizations that rely on data for decision-making, operations, and strategic planning. The primary goal is to identify and rectify errors or inconsistencies in data before they can negatively impact business outcomes.
A typical data quality assurance process begins with defining data quality standards and metrics relevant to
Once issues are identified, data cleansing or data scrubbing takes place. This step involves correcting, standardizing,
Finally, ongoing monitoring and maintenance are essential components of data quality assurance. This involves continuously tracking