Data Integrity

Data Integrity refers to the accuracy, consistency, and reliability of data throughout its lifecycle. It ensures that data remains unaltered during storage, retrieval, and processing, maintaining its authenticity and quality. Key components of data integrity include validation, error detection, and adherence to data governance standards. Organizations prioritize data integrity to enhance decision-making processes, improve operational efficiency, and comply with regulatory requirements. Maintaining robust data integrity safeguards against data corruption, unauthorized access, and data breaches, ultimately fostering trust in critical business information and analytics.

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