Why does an organization need to invest in Test Data Management strategies? The answer is pretty simple, many organizations aren’t aware of the fact that having a strategy for TDM is an integral part of the software testing lifecycle.
It improves the testing efficiency and most importantly it ensures that the software in hand is behaving as expected across different scenarios.
In this blog, we’ll explore the major benefits of Test Data Management, discuss common challenges faced during implementation, and highlight best practices for creating an effective strategy. So, let's get started.
Here are some key benefits of implementing an effective TDM strategy and how it enhances testing outcomes:
When any organization has clean and high-quality data it leads the company to make effective decisions. A well-organized data always benefits the organization whenever it's needed. Depending on the data available the organization will always make a better decision and will benefit from it. How does a tester benefit from this? When any tester is aware of the requirement, he/she will always be testing the software in hand according to the target to achieve and will be aware of the requirements given by the organization.
When any organization has accurate and organized test data, it always benefits the testers to analyze a lot more scenarios covering many edge cases. Many flaws are detected at an early stage of the software development lifecycle and it helps in improving the quality of the product.
Catching a bug at an early stage of the development cycle is always very beneficial and it helps in avoiding post-production issues, hence hot fixes are taken out of the picture if this practice is followed. Testers can execute real-world scenarios covering all the happy flows and edge cases. All this can be achieved only when the TDM is in place and is monitored regularly by professionals, often complemented by specialized qa testing services.
When we make the best use of the test data it not only helps the testers during testing essential areas but also helps in shortening the test execution time along with avoiding data duplication. If an organization has well-structured test data, then it becomes very easy for the lead to delegate testing tasks to different people, hence it improves resource allocation.
Before jumping onto the next topic which relates to how we can implement TDM, first let's discuss what are the possible challenges or hurdles one can face with Test Data Management.
You might encounter difficulties organizing or creating representative datasets. This is solely because, in today’s world, almost all of the applications we use generate very complex data because the applications themselves consume and generate a large amount of data. So it's pretty difficult to handle data with unique structures.
Organizations need to ensure that sensitive data is always masked and protected. It's tricky in nature because complimenting compliance with data protection along with testing leads to many challenges for testers.
To ensure accuracy with your test data, you always need to ensure that the data in hand is always well-updated as the software grows. You need to bring in effective practices to effectively handle outdated data which may not be useful for the current software/application versions.
For effecting TDM strategy, the organization is strongly recommended to ensure that correct data is provided at the right time which can only be done if the data in hand is efficiently synced with different testing environments.
Let’s now quickly discuss what are the best practices an organization can indulge in to ensure the organization is actually utilizing the benefits of TDM to its full capacity.
It's always very beneficial when there is clarity in whatever you’re expected to execute. Creating effective processes along with assigning roles and responsibilities is one of the key elements to a successful TDM strategy. All the stakeholders, especially testers need to create guidelines that can be used to make sure that every stakeholder is on the same page. The testers further need to create a framework that ensures that the quality of the data is not ignored.
This can also be achieved with regular audits of the data or the standards put in place.
As discussed above already, handling sensitive data is a very crucial aspect of TDM. To make sure that no security breaches occur, an organization must effectively apply anonymization, encryption, or data masking to such data while testing is being performed.
To reduce time, and errors and increase efficiency one must opt for automating the test data through automation testing services. It not only saves time or improves efficiency but it also keeps the test data refreshed and updated, thereby reducing testing documentation and enhancing quality assurance and automation. It can be achieved by the usage of different automation tools such as Selenium, Apache Jmeter, etc.
To make sure that effective testing is being conducted using large databases, the organization must ensure that all the redundant or useless data is removed. This can be achieved by creating clusters of different data sets against each testing scenario in hand. It not only helps the testers to make use of the data effectively but it also reduces testing time.
Data creation techniques are to be introduced at this stage to ensure accurate data is available for testers when needed. Test data creation tools will help in generating useful data that will help the testers execute real-world scenarios with dummy data in hand. By following this not only testing is improved but it also makes sure that testers are not dependent on production data.
To sum up the content, we are now aware of the benefits, challenges, and some of the best practices that an organization can implement to have an effective Test Data Management strategy. In today’s fast-growing world, an organization is required to keep its data well structured to assist all the stakeholders and to achieve the desired results.
...Loading
We have got the answers to your questions.
Join us to stay connected with the global trends and technologies
