What Is Data Validation?
Data validation is the process of ensuring that data meets predefined rules and criteria before being used for analysis or decision-making. It involves verifying the accuracy, consistency, and integrity of the data to confirm that it aligns with expected standards. Common validation techniques include range checks, format checks, consistency checks, and uniqueness checks. By implementing data validation, organizations can identify and address inconsistencies or errors early in the process, reducing the risk of flawed outcomes and enhancing the reliability of analytics and reporting efforts.