Category: Test Data Management

Data masking helps you and your organization improve data security. The term means hiding sensitive information but keeping it useful and realistic, so you can continue to develop and test with it while keeping it private. Many companies underestimate the power and importance of data masking. According to IBM Security, the average cost of a data breach has reached almost $4 million. Therefore, it’s essential to shore up your data security, no matter the size of your organization.

Data masking personally identifying information (PII) may include many techniques, such as data shuffling or data substitution, that help you make data unidentifiable. It’s an important aspect of data security that every organization should care about.

This article will help you understand what data masking is and why it matters. Further down the line, we’ll discuss a few data masking techniques—including one that isn’t recommended for most types of sensitive data. But first, let’s discuss data masking in general.

Continue reading “How to Mask PII Data: A Guide With Examples”

Testers have quite a lot of responsibilities. Often, when a tester thinks that they’ve covered all the test case scenarios, a regression defect appears. Usually, it appears at a late testing phase or when some new code changes are pushed in the application—the worst case being when the tester from the client side catches these defects in the production environment. Problems like this arise when a proper test data management (TDM) strategy isn’t in place. Managing data is, in fact, the hardest part of the software development life cycle (SDLC).

In this post, we’re going to learn about TDM in detail. We’ll get to know what test data and test data management are. Also, we’ll check out why TDM is important and the challenges that come along with it. Let’s dive into the details.

Continue reading “What Is Test Data Management in Software Testing?”

As systems become more isolated and autonomous, teams diverge from having shared, centrally managed test data. Legacy test data, which many teams use, can cause problems when it changes without team members’ knowledge. You may get lots of advantages using these more independent systems, but you now have to deal with the pain when your older test data management strategy doesn’t hold up. You need a new way to manage our test data and to make your problems visible.

In this post, you’ll learn how to strategize to conquer test data, just as a general strategizes to conquer a territory. You’ll find out the key elements to a test data management strategy, including what tools to use and how to measure success. We’ll also cover some tactics you can apply to ensure a  strong strategy. Consider this an Art of War for test data management.

I hope this post gives you the confidence to implement your own strategy successfully. Let’s get started!

Continue reading “What Is Test Data Management Strategy? A Complete Explanation”