The degree to which data is accurate, complete, timely, and consistent with business requirements and rules.
If an organization has robust data quality rules and they are followed by the users the organization will be able to operate efficiently and users will be able interact with the data effectively. Some metrics of data quality are accuracy, validity, completeness, granularity, consistency, and availability. Data is considered high quality if it is fitting for its intended purpose.
Data Quality Rules, Data Maintenance, Data Cleansing, Data Enrichment