Data validation is the process of ensuring that the data entered into a system is accurate, complete, and within acceptable parameters. This helps prevent errors and inconsistencies that can lead to incorrect conclusions or decisions. By checking data against predefined rules or criteria, organizations can maintain high-quality information. There are various methods of data validation, including format checks, range checks, and consistency checks. These techniques help identify issues early in the data entry process, making it easier to correct mistakes and improve overall data integrity. Effective data validation is essential for reliable data analysis and reporting.