There is a problem validating your database

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

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The Post-validation action sends feedback to help enforce validation.

Simple range and constraint validation may examine user input for consistency with a minimum/maximum range, or consistency with a test for evaluating a sequence of characters, such as one or more tests against regular expressions.

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.

An e-mail address might require at least one @ sign and various other structural details.

Regular expressions are effective ways of implementing such checks.

For example a numeric field may only allow the digits 0–9, the decimal point and perhaps a minus sign or commas.

A text field such as a personal name might disallow characters such a markup-based security attack.

The rules may be implemented through the automated facilities of a data dictionary, Data validation is intended to provide certain well-defined guarantees for fitness, accuracy, and consistency for any of various kinds of user input into an application or automated system.

Data validation rules can be defined and designed using any of various methodologies, and be deployed in any of various contexts.

For example, an experienced user may enter a well-formed string that matches the specification for a valid e-mail address, as defined in RFC 5322 but that well-formed string might not actually correspond to a resolvable domain connected to an active e-mail account.

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