The process of checking the data’s accuracy and relevancy.
When data is filled by an outside party, it is sometimes necessary to validate it in order to determine whether all issues have been resolved. Some of these validation checks can entail looking for numeric values outside the expected range in a given context, reviewing new values, and preventing text form being entered in a field meant for numbers. For example, should the size of the nail be 34 inches or ¾ inches? Data validation can be automated with PIM systems to improve data quality.