The insurance industry depends on reliable and timely data. This data originates from a variety of systems, like policy issuance, customer service, billing and claims. To aggregate and integrate large volumes of data from a plethora of sources is not a trivial problem for data architects. Yet what's even more challenging than the development of such projects is testing them.

While the application-testing landscape is fertile with a variety of fresh ideas and offerings, the terrain of data testing remains surprisingly barren. A quick search on Amazon will demonstrate the curious truth: the number of texts dedicated to testing data applications is woefully low when compared with those covering software testing. Why is that, one wonders, especially if one is tasked with architecting a data project that has few or no application/user-interface (UI) layers? A few quick explanations do come to mind:

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