When data integrity is discussed, it involves ensuring that the data within an organization is complete, accurate, consistent, accessible, and secure. These aspects together determine the reliability of the data. Assessing data quality against these criteria helps determine how suited the data is for its intended use. For organizations relying on data for decision-making, providing data access to teams, and offering data to customers, maintaining good data quality and integrity is crucial.
