Data integrity checks are processes used to ensure that data remains accurate, consistent, and reliable over time. These checks can identify errors or corruption in data, which may occur due to various reasons such as hardware failures, software bugs, or human mistakes. By regularly performing these checks, organizations can maintain the quality of their data and prevent potential issues that could arise from using faulty information. Common methods for data integrity checks include checksums, hash functions, and validation rules. A checksum is a value calculated from a data set that can be used to verify its integrity. Similarly, hash functions create a unique identifier for data, allowing for easy comparison. Implementing these methods helps organizations safeguard their data and ensure its trustworthiness.