data management
Test Your Data Quality to Increase the Return on Your QA Investment With the high volume of data coming into your organization, it’s important that it be complete, correct, and timely. But considering the velocity at which this data is moving, how do you measure its current quality? You must be able to test it wherever it sits still enough to be viewable, without altering it. |
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Why Your Test Efforts Should Tackle Data First Automation projects often start by tackling the technical issues, but Linda Hayes says a specific data environment should be established first. If you can’t control, define, and predict your data, you won’t have the repeatability that makes test automation practical—but it makes sense for manual testing, too. |