Data validation is the process of verifying that data is accurate, complete, consistent, and formatted correctly before it is used for analysis or stored in a database. It involves applying rules, constraints, and validation techniques to check for errors, anomalies, or inconsistencies in datasets.
Effective data validation ensures high-quality data, enhancing the reliability of insights, predictive models, and decision-making. It helps organizations prevent faulty analysis, reduce risks, and maintain data integrity across various processes, from data entry and migration to reporting and analytics