It's critical to assess the source's reliability and the data's accuracy during the data validation process. There are numerous approaches to validate datasets. Methods of data validation that data analysts frequently employ include: Data is validated as it is entered into the field using a technique called "field level validation." You may fix the mistakes as you go. Form Level Validation: Once the user submits the form, this type of validation is carried out. Each field on a data submission form is validated all at once, and any problems are highlighted so the user may remedy them.   Data saving validation: When a file or database record is saved, this technique verifies the data. When many data entry forms need to be checked, the procedure is frequently used. Validation of the Search Criteria: To give the user relevant and accurate results, it successfully validates the user's search criteria. Its key goal is to guarantee that a user's search query returns highly relevant search results.