Think back to your last project. You probably had a Test Automation strategy in place, but was there a Test Data Management Strategy in place alongside it? I bet most of you might answer no. We have all been there. Test automation is ready to go, test cases written, everything prepared and organized, and then reality hits us: “Where’s the test data?”
Before you know it, the whole team is blocked, struggling to piece something together and meet deadlines, or cloning production and hoping for the best. Does it sound familiar?
Test Data Management is often treated as an afterthought, a detail we will take care of later in the process. Unlike Test Automation, it rarely gets the attention it deserves. But in reality, it is one of the biggest factors in whether testing succeeds or fails. Without reliable, accurate, and compliant data, even the best automation is just an illusion of quality. And how can we achieve testing at its best without proper Test Data Management?
In this talk, I’ll share the most common challenges I see in TDM: From the “One Size Fits All” Dataset where a single dataset is reused for all environments, all scenarios, while edge cases are quietly ignored, to the “The Wild West” problem where testing teams work in silos and generate data their own way leading to chaos and duplications and then wondering why E2E testing doesn´t work, and many more.
But most importantly, we will look at practical strategies from real projects to break this cycle: How to incorporate Test Data Management in your testing processes, establish a strong TDM-strategy, build a reliable TDM-framework and make test data a priority.
Because at the end of the day, even the best automation is only as good as the test data behind it.
