Data validation is important for ensuring quality data analysis, reporting, and decision making. There are three key points for validating data: (1) during data collection by designing surveys with quality controls and training staff, (2) automatically through business rules when entering data to check for errors or inconsistencies, and (3) manually checking data forms. Validating data helps verify social goals are achieved and leads to a quality, end-to-end process for collecting, analyzing, and using data for reporting and decisions.