Get To Know The Different Type Of Data Validation Techniques

Have you ever had a set of reports or information that were categorized for years only to have your business users find that the information has been mistaken all along and as a result lose trust in your data warehouse environment? Yes? No doubt getting faith is the basis of user adoption and business value of your any kind of data management program. Thus, it is quite essential to make data quality up to the mark. But sometimes it seems difficult in case if agility and speed-to-market are the names of your business users. This is a lesson that is pretty expensive to learn the difficult way. How do you stop such kind of problems from happening? After all, it is the question of your business.

Well, if your mind is also floating with this kind queries, take a deep breath now. You have a wonderful opportunity to prevent all these activities with the help of quality data validation services. There are some experienced and knowledgeable marketing specialist available in the market  who is offering such services at very affordable prices. They use some effective techniques in order to execute this technique successfully..

There are different types of data validation techniques which a user can adopt. Let’s discuss with us one by one:

Type No 1: Field Level Validation:

The ideal situation you have here is your present a screen with a list of values that you will require the user to enter. Normally, this involves that once the data is entered, it will be saved to a data file or a database. You will notice that there's more than one thing you can do, at the field level to avoid the errors made by human interaction and come up with the highest quality data.

Type No 2: Form Level Validation

The same situation as above, but no field requires being entered before any other fields on the form. This ordinarily indicates that the user will enter the information and validation is executed once, in the whole form, normally before a save of the information is required.

Type No 3: Search Criteria Validation:

Some may feel that this kind of form can do without data validation. When you think about it. Just consider the time saved, if you could aid ensure the results were really returned and that those outcomes were related to what the user is seeking for to a certain degree.

So, these are the major type of data validation technique. But here the one thing is for sure that the  data validation is a significant exercise to evaluate and improve your data quality practices.

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Created on Dec 14th 2017 23:09. Viewed 394 times.

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