Data Integrity vs. Data Quality: Is There A Difference?
IBM News, Thursday, July 13,2023
In short, yes. When we talk about data integrity, we're referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization's data.
Together, these factors determine the reliability of the organization's data. Data quality uses those criteria to measure the level of data integrity and, in turn, its reliability and applicability for its intended use. Data quality and integrity are vital to a data-driven organization that employs analytics for business decisions, offers self-service data access for internal stakeholders and provides data offerings to customers.