Intelligence analysts are facing incredible challenges, including pressures to detect growing numbers of threats by analyzing overwhelming amounts of big data. Using traditional tools and manual approaches, analysts simply cannot keep up with the need to find that elusive needle in a haystack – especially when only a few fragments of data are available as the starting point for investigations.

This paper explores how government agencies can use advanced analytics to link disconnected data and provide answers to complex questions. Rather than requiring analysts to know precisely what to look for at any given moment, advanced analytics with built-in alert systems can be set up to proactively identify, prioritize and present information based on pattern identification and quantification of risk.

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