Rightsizing Data For Faster Development
Rapid testing and development does not need all your data, all the time, no matter how high-performance Test Data Automation is. Delivering quality software instead requires on demand data that is rightsized for precise coverage and load requirements.
Organisations who provision unwieldy production data copies risk wasting money on costly infrastructure and lengthy test runs. Engineers further lose time hunting for data and analysing repetitive test results, while compliance risks can emerge due to data minimisation requirements.
Can you automate as quickly as EVERFI?
The Right Data on Demand
Parallel testers, developers, and automation frameworks can trigger integrated data activities that resolve “just in time” to provide rich data on-the-fly. A range of these activities ensure that just enough data is allocated, from unit testing all the way to high-volume stress testing:
Subsetting and Cloning
Data subsetting reduces the total volume of data without reducing variety or coverage. Cloning duplicates useful scenarios, ensuring that every parallel test and engineer has the data needed to deliver quality software, without bloating data sets.
Allocation assigns exact combinations to tests as they run, while engineers can lock data in shared environments. Concise test suites run without failures caused by data clashes, while testers receive only as much data as they need.
These on demand activities combine with integrated activities for ensuring the coverage, compliance and continuous availability of test data. Test Data Automation shortens release cycles, find bugs earlier, and allows organisations to deliver quality software for less. Learn more in our solution brief: