Data integrity refers to the completeness, consistency, and accuracy of data. The data should follow the ALCOA principles: Attributable, Legible, Contemporaneous, Original, and Accurate. A lack of data integrity can lead to warning letters from regulators, import alerts, and no further product approvals. Typical contents of warning letters include failing to investigate complaints, falsifying documentation, and improperly recording batch information. Maintaining data integrity is important to avoid regulatory consequences.