Defense and intelligence organizations have long sought to take full advantage of one of their most valuable resources – the vast amount of data they collect on a daily basis. They want to be able to use that data to make more insightful, forward-looking decisions about readiness, logistics, manpower, intelligence, and a host of other critical defense concerns. Traditionally, data analysts and decision makers viewed data as a part of a straightforward, linear process to get to an answer. They asked very specific questions designed to return expected results and flowed these results into custom reports. And when the questions or parameters changed, analysts spent valuable time creating new relational databases that addressed an equally limited set of inquiries. But leaders today are asking different kinds of questions. “What are the hidden causes and effects at play here?” “What is driving the outcomes that I’m seeing, and why is it this outcome?” Answers to these questions require a recognition of interrelationships among disparate data sources as well as a means for understanding them. Read More

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