Description: Data integrity refers to the accuracy and consistency of data throughout its lifecycle. This means that data must be accurate, complete, and reliable, which is essential for informed decision-making in any organization. Data integrity can be compromised by various factors, such as human error, hardware failures, cyberattacks, or software issues. To ensure data integrity, various techniques and practices are implemented, such as access controls, audits, validations, and backups. Data integrity is crucial in the field of information technology and has implications for data quality, cybersecurity, and data management. In an environment where information is a valuable asset, maintaining data integrity is essential to protect an organization’s reputation and comply with relevant regulations and standards.
