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Analyzing numerical data validating identification numbers

Using these data definitions, a range of software validation checks can be carried out.

A validation process involves two distinct steps: (a) Validation Check and (b) Post-Check action.

The check step uses one or more computational rules (see section below) to determine if the data is valid.

Data that does not conform to these rules will negatively affect business process execution.

Therefore, data validation should start with business process definition and set of business rules within this process.

One element that is fairly consistent in VIN numbers is the use of position 9 as a Check digit, compulsory for vehicles in North America and used fairly consistently even outside this rule.

This can only be achieved through the use of all the clerical and computer controls built into the system at the design stage.The difference between data validity and accuracy can be illustrated with a trivial example.

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A Validation rule is a criterion or constraint used in the process of data validation, carried out after the data has been encoded onto an input medium and involves a data vet or validation program.In computer science, data validation is the process of ensuring that data have undergone data cleansing to ensure they have data quality, that is, that they are both correct and useful.It uses routines, often called "validation rules" "validation constraints" or "check routines", that check for correctness, meaningfulness, and security of data that are input to the system.A company has established a Personnel file and each record contains a field for the Job Grade. An entry in a record may be valid and accepted by the system if it is one of these characters, but it may not be the correct grade for the individual worker concerned.Whether a grade is correct can only be established by clerical checks or by reference to other files.During systems design, therefore, data definitions are established which place limits on what constitutes valid data.