Data validation is a crucial process that ensures information from various sources is accurate and standardized, minimizing entry errors which can range from 2% to 8% among organizations. Various techniques exist for data validation, including form level, field level, data saving, search criteria, and range validation, each addressing specific errors and ensuring data accuracy. The goal of these validation methods is to maintain clean and up-to-date information by preventing inconsistencies and incorrect formats.