What is the Main Objective of Data Validation?

There are many industries that require data validation, and each has its own set of guidelines for doing so. Banking, financial, survey, health & hospital management systems, large firms using CRM, HTML form-based applications, or websites are examples of industries where a considerable volume of data verification and validation is required.

Each industry has its own set of data verification, validation, and storage procedures. If you’re looking for answers to questions like what is data validation, why is data validation important, what are data validation methods, and how important is data validation during the input process for your organization, you’ve come to the right blog. So, without further delay, let’s get started with our first big question:

What is Data Validation?

Data validation is a technique for ensuring that data is accurate and of excellent caliber. You can use this to determine whether the information entered is correct or not. For example, whether or not the spelling, password, or any other stated rule is filled correctly.

This is an important procedure since it benefits you in a variety of ways, both now and in the future. It assists us in achieving the greatest potential result in a timely and efficient manner. Many automated software is now available to verify and validate data, which helps organizations save time throughout the validation process.

Why is Data Validation Important for your Organization?

Data validation is critical at every level of your organization’s hierarchy, whether it’s your client information, firm employee information, financial information, and so on. You can’t afford to make a mistake at any point. Each and every phase and stage is critical and significant. You must double-check that the information in the file is correct.

Data validation ensures that the information entered is correct, which benefits your company in a variety of ways, particularly in sales. Any marketing executive or sales team will rely on the information you or your team has recorded. They’ll use that information to pitch or target their customers.

For example, A hospital receptionist has typed in “Patient admitted — Patient Discharged.” In this situation, you cannot enter any incorrect information, such as an incorrect date, a misspelled name, or an incorrect room number. Imagine the situation if this occurs; it will be a major disaster that will tarnish the hospital’s name and image. I hope you understand now why data validation is so much important to you and your organization as well.

What are Data Validation Methods?

There are two methods through with you can validate your data:

Writing Scripts

This form of validation requires coding knowledge in order to script the data in coding languages such as Python, JAVA, and others, which is time-consuming, slow, and requires more than one person to create or design.

Using Automated Tools

In this method, you can use software such as Tvalidator, which is an AI-based software specially developed to quickly and effectively validate large amounts of data. It’s a great tool that knows your rules and requirements while it also helps you saving time, money, and streamline your business.

Importance of Data Validation during the Input Process for your Organization

As far as we’ve covered, you’ve probably realized how vital it is to record accurate data. Invalid or erroneous data can be quite costly to your company. It is a loss of time, money, and process for the company.

As a result, it’s essential to fix that error before submitting the form. Software's like Tvalidator are commonly used to validate input data.

Many issues can arise when entering or filling out a record, such as submitting inaccurate information, field length not matching, range information given incorrectly as rules, incorrect values, incorrect passwords, and so on. That is why, before entering into any the processed storage system, the software must cross-check that the input data is correct or valid.

Data Validation with Tvalidator

Tvalidator is a leading-edge artificial intelligence (AI) system that collects and verifies large amounts of data. Reduces the time it takes to create a workflow by reducing the time it takes to implement complex forms that are an important part of the workflow. The web application will not restrict the user from establishing a rule if mandatory fields are lacking at the time of rule generation. The user would only be notified of mandatory or compulsory fields by the app. If the user continues to ignore all notifications, the rule will be marked as IN Progress by the app. You may like to look at some of it’s features:

• Independent of any JS Framework.
• Installation is one-time and highly customizable, including Plug & Play functionality for existing programs. Existing validations can be easily reused.
• User-Friendly UI to make platform and stakeholder Independent. Anyone, including product owners, designers, and business users, can define business rules without understanding any coding or technical skills.
• There are various types of field validations accessible.

Length, maximum and minimum lengths, Value (String, Boolean, Number), maximum and minimum values, Regular expressions, and so on.

• Debugging is simple. There is an alert observer available.

Errors are simple to track down. There is an alarm mechanism in place that provides information about the location of the issue.

Finally, we hope you have received all of the answers to your questions and have enjoyed reading our blog. Tvalidator is free for a 30-day trial that you may use for your organization to get easy, error-free data validation.