All of these elements work together during normal operations to process transactions, so a problem in any one of them or between them can cause incorrect results. Most difficult of all, these problems are not across-the-board, but are caused instead by specific sets of compromised application data. That means that most sets of data will process through a transaction perfectly – it is only when you hit that one bad combination of application data that you run into an issue. This creates a formidable problem for the typical company: How do you find and remediate these needles-in-a-haystack that cause you the most pain in production? The answer: Data-Centric testing.

Data-Centric testing technology involves mining your actual production data, and then applying intelligent analytics both to the data and to the relationships between the data in a fully autonomous fashion. From this analysis, Data-Centric technology automatically determines the precise and minimum number of sets of master data that will comprehensively validate all of your data, configurations, and customizations. Because the results of this analysis can potentially represent a large number of tests, Data-Centric technology can convert these sets of application data into fully automated tests without any user assistance or effort being required. After tests are run, results are properly visualized to the user so that the volumes of unnecessary information are hidden, while simultaneously directing the user to the relevant results that they need to review. RainierAEV does all this, and more.’