![]() ![]() ![]() The validity and correctness of data is essential in data-intensive systems, especially those that deal with finances that is why it is very important to maintain proper validity checking from input to processing and even output. A redundancy validity check is done on the submitted input on the field if the data entered are pure numbers and an error is returned if they are not. The simplest examples for validity checking is in a data entry system, where some specific fields may require numerical data, then a validity check algorithm can be put in place to detect if what the user inputs are numbers or not, immediately notifying the user of an error. Validity checking is a universal process used across different industries, particularly in information and technology where data and processes must meet quality standards that ensure the proper function of the software or hardware device.
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