Verification and validation is done to make sure that the data is accurate and error free as the incorrect data can lead to data deformation or miss understanding of the document. Data validation checks that data are valid, sensible, reasonable before they are processed it is a quality assurance process of establishing evidence that provides a high degree of assurance that the document accomplishes its intended requirements ,while data verification checks that the document meets specifications and that it fulfills its intended purpose this can be done by doing some checks like double entry so that the data must be entered twice or proof reading to make sure it is accurate and no errors in it , as for validations , it can be done by coding which means giving a code to specific words so that it would be easier to enter and the probability of mistake will be less ,also format check can be done as it checks that the data are in a specific format , added to that ,spelling and grammar checks for checking the language and writing mistakes.
Chat with our AI personalities
The term verification is where details of data is checked to ensure what it has been inputted correctly. Whereas validation is where the data that has been given is the in the correct format and that is follows the requirements that is needed.
Data validation.
She enjoys doing 'spot the difference' puzzles.There is a difference between happy and sad.What is the difference between these two cakes?
what is the difference between ERD and UML Flowcharts.
what is the difference between commutative and symmetric properties
difference between cross section and block daigram