Developing a QA strategy for unstructured data and analytics can be a trying and elusive process, but there are several things we’ve learned that can improve accuracy of results.
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In a traditional application development process, quality assurance occurs at the unit-test level, the integration test level and, finally, in a staging area where a new application is trialed in an environment similar to what it will perform with in production. While it’s not uncommon for less-than-perfect data to be used in early stages of application testing, the confidence in data accuracy for transactional …
