What is Data integrity? A short definition - NewMetrics

Data integrity refers to the accuracy, consistency, and reliability of data throughout its lifecycle.

It ensures that data remains complete, consistent, and trustworthy from its creation to its deletion.

Data integrity is maintained through various measures, such as validation rules, error checks, and security controls, which prevent unauthorized modifications, corruption, or loss of data.

It is crucial for organizations to maintain data integrity to ensure the reliability and credibility of their information, support decision-making processes, comply with regulatory requirements, and maintain trust with stakeholders.