Four Things to Consider When it Comes to Test Data Management

 When you're managing the test data management in your test automation project, you've got to keep two things in mind. The first is that test data management doesn't have to be about thousands of file pages per second - the true test is in the speed and throughput. So don't get hung up on the big numbers! Instead, focus on getting test data as reliably as possible, while at the same time, keeping it easy to access. 

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It's not enough to produce test data that has every single bit of data in it - test data management should also allow for simple changes to the test data that can change its shape or form (for example, adding a new question to a data set can do one of two things: either add an extra question to the data that was already in place, or else move it into the test data set's unique "unassigned" slot). And changing the format or size of the test data can actually have some significant impact on test speed - so look for these things when it comes to your test data management.

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Another important consideration when it comes to test data management is to keep it simple. Don't make the mistake that many agile environments make - simplify your data access as much as you possibly can. And this applies both to your user groups and to your test data management. As an agile practitioner, you'll find that many of your users will simply prefer to use an interface that is as quick to use as possible (so that they can move along as quickly as possible), and in such cases it's easy to achieve just that.

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But even for your production data sets, it's important to keep test data management simple. In particular, I'd recommend making the forms for user inputs/output (OUTP) as simple as possible. Why? Because when these are form based, there's far less opportunity for human error and by simplifying them, you'll also improve your test data management productivity.

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One final area to consider when it comes to test data management is your testing strategy. This goes hand-in-hand with the previous point, but the combination of those two points can be a major breakthrough when it comes to your agile test management. Many test automation systems provide many challenges, and often when you face one or more difficulties in those challenges, you're forced to spend hours trying to recreate the problem, which is an example of time wastage. As an alternative, many times you can simply refactor the part of the item that was flawed, and in most cases, that's all you'll need to do to get things rolling again.

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So, these are some of the things to consider when it comes to test data management - and these are not all of the issues that you should be addressing. However, these four issues are among the ones that I hear consistently from my clients whenever they're speaking to me about their agile-testing practices. Don't underestimate the value of test data management - make sure that your overall test plan includes some sort of test data management functionality. It will free up time, improve your test execution speed, and most importantly, simplify your testing environment.

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In this section, I'll briefly go over why test data management is so important. Test data is extremely important because it's used to track, collect, store, and describe test cases, and to help maintain test code compliance. Without test data management, you run the risk of test cases becoming broken and having issues tracked in real time, which is a major problem that can cause test cases to become slower and longer than necessary, and potentially even cause you to forfeit your test license. Don't take this chance! Keep test data management in your test environment.

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