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Defining Data Validation and its Techniques

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Defining Data Validation and its Techniques

Data validation is a term that leads you towards assuring the validity of information stored in your company database. There should be neat and clean data behind every application or operating system. Roughly managed data will badly affect the overall work. Data validation is not just a single word to pronounce. In fact there are many interlinked points involved which can be helpful or considered as concepts.

Every company must be using some application or any software program for entering data, it is very essential to enter correct data. There should be some functions that could mark or highlight the duplicate data to avoid human errors. This is one of the sensitive points because, statistical reports have shown most of the data validation problems are due to human errors.

Data validation procedures or techniques should be installed in time. Often problems occur due to poor planning. When you will be having an installed validation plan it will be easier for you to proceed further. Third most important point is about saving files in variable formats, which should be easily acceptable. These were the basic concepts involved in data validation.

Data Validation Techniques:

Data validation can be performed with the help of following mentioned techniques and ways. These three techniques will be well explained below;

  1. Range Validation:

This is the first technique of data validation. As the name indicates here, range validation is applicable for the numeric data and values it also includes dates. Firstly, a specific ranged has been decided and then the data test is to perform. The person who is responsible for testing enters the value within that specified range. Another important consideration here is that this technique will also be valid for the characters. Just to give you an example for further understanding suppose that you are crafting a questionnaire application. There are five probabilities in terms of answers including A, B, C, D and E, because of using range validation technique the system will only accept this option and any other letter will be rejected. In case of any minimum and maximum value this data validation technique will be best to opt for.

  1. Lookup Validation:

This technique is applicable when you are having are set of values which you have already listed. The further entered values will then be compared with the existing list of values. Here, we can take an example of mortgage calculation program where the number of compounding periods is involved. In most of the institutions relevant to the financial industry will ask for something like 1, 2, 3, 4, 6, 12 and 365, this is the situation where you can use lookup validation. It will take the value which has entered and then will compare it with the listed values to check the validity. The most significant point is that the value you enter should not be invalid. This is an encouraging option, where you do not wish to let the people enter wrong values.

  1. Masked Input Validation:

Data validation is not just limited to the above mentioned techniques. Those values having same pattern of input just like telephone numbers, zip codes, etc.  There specific pattern will surely be respected while entering the values. It strictly allows the masked or filtered entries. This process guides the user about how to enter the data value in the field. Here we can take an example for example the use is entering data and by mistake miss the calendar field. This is the point when the pop up will appear to guide the user.

Apart from the above mentioned details the data validation can also be done manually by being careful in data entry procedure. This is best from small projects and startup companies.

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