Maintaining data integrity is important for several reasons. For one, data integrity ensures recoverability and searchability, traceability (to origin), and connectivity. Protecting the validity and accuracy of data also increases stability and performance while improving reusability and maintainability.
Data increasingly drives enterprise decision-making, but it must undergo a variety of changes and processes to change from raw form to more usable formats that are practical for identifying relationships and facilitating informed decisions. Therefore, data integrity is a top priority for modern enterprises.