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Unveiling the Power of Data-Driven Automation Testing: Transforming Insurtech Operations

Feb 22, 2024
Data-Driven Automation

Quick Summary: Data-driven automation testing has repeatedly proven to be the simplest and most adaptable method in insurance QA. In this blog, you will read about the challenges related to the old testing methods, how data-driven automated testing works and its myriad benefits supported by factual data. Let’s get started with the bottlenecks!

The Challenge with Old Testing Methods

The sole criticism raised about the older method was its inflexible nature and lack of extensibility. However, data-driven automation testing has proven to be highly flexible and extensible.

Having said that, a recent Forbes article estimates that poor software has caused the United States economy to lose $2.08 trillion. This is where data-driven automation testing comes in and diligently examines vast quantities of data in order to ascertain the uninterrupted functionality and dependability of a software or application.

How Does Data-Driven Automation Testing Work? 

  • When testers are persuaded to repeatedly do the same task it becomes boring, reducing productivity.
  • In addition, hard-coding all of the data in the scripts has proven to be inefficient, and updating the hard-coded script becomes onerous when transitioning between test environments.
  • To avoid such problems, it is best to utilize automation testing in a distinct class file or in external file formats such as Excel, Word, text files, or even database tables. These data are subsequently used as parameters in automation scripts during execution.

Let’s Take a Look at the Facts

Based on a recent study, the market for automation testing is anticipated to reach USD 85.44 billion by 2030, growing at a CAGR of 17.06% over the forecasted period. Moreover, the report highlights that during each test cycle, a substantial volume of data is produced, which can be used to identify and rectify test failures, facilitating data-driven automation testing.

data-driven automation testing

Given the availability of such compelling statistics, it’s difficult not to be intrigued by such a transformative approach.

But how can the potential of data-driven automation testing be maximized in an ever-changing environment? This blog will explore the intricacies of this approach, elucidating its advantages, exploring its applications, and unlocking its immeasurable worth for the insurtech sector.

6 Fundamental Perks of Implementing Data-Driven Automation Testing

Better visibility
Creating and maintaining test data and test scripts is an easy task, as these are stored in separate folders. It is seamless to make changes to test data without looking at the testing scripts, and the same is true for changes made to scripts. Anyone on the team who knows AUT can keep the test data file up to date while the automation test engineer works on the test scripts.

Re applicability
Utilizing any test input that is stored in files as test data when there are ready-made test scripts is a seamless process. The script won’t need to be changed because it will read the test data from the file and run the test case.

More tests to cover
Leveraging high-quality data that is an exact copy of the real production data can enhance the test coverage. This helps to make sure that the application is stable and of good quality. Because all the possible data has already been tested and problems have been fixed, there won’t be many bugs in the production setting.

Uses time well
Setting up automatic test runs anytime saves a lot of time during the testing process. Data-driven automation testing is also faster than human testing because it takes advantage of all the benefits of automation testing.

Lessened accidents caused by human error
Making mistakes by hand is much less likely to happen, and the result is a high-quality output as the test data is read from files instead of being entered by hand. When entering a lot of data by hand, inaccuracies are bound to happen, which can be easily avoided in this case.

Making choices more quickly
Decisions related to management and defects can be made more quickly because automation and running a larger set of data make things go more smoothly. As development cycles are shorter in Agile and DevOps, choices and problems need to be solved quickly. The data-driven automatic testing really helps with the tricky parts of Agile and DevOps.

A Comprehensive Data-Driven Automation Testing Workflow

Data-Driven Automation Testing Workflow

In a Nutshell

To create high-quality apps, testing is crucial. Data-driven testing has always been the most intriguing, as it allows for unlimited creativity and information.

As the term implies, data-driven automation testing is testing that is regulated by data. Here, data is extremely important. So, careful selection of the test data is required. This helps insurtech companies to provide superior customer experiences by optimizing operations, enhancing quality, and streamlining processes through the application of insurance data analytics and automation in insurance.

Running automation scripts on a big test data set without a clear vision is a waste of time, effort, and resources. A thorough understanding of the AUT, as well as extensive domain expertise, provides the foundation for an excellent test data collection. Hence, Businesses should employ data-driven testing to quickly release high-quality products and enhance user experience.

Want to integrate data-driven automation testing into your operational procedures? Not a problem! Get in touch with us, and we will ensure your seamless business operations.

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