How can data validation techniques help prevent gross errors from entering a dataset?

Data validation techniques, such as range checks (ensuring values fall within acceptable limits), consistency checks (verifying relationships between data points), and format checks (ensuring data is in the correct format), can prevent many gross errors from being entered into a dataset. Implementing these checks during data entry or import can significantly improve data quality and reduce the risk of erroneous results.