As technological advances make an ever-expanding deluge of data available, analysts are under increasing pressure to quickly deliver insightful intelligence products despite not having adequate access to all necessary data. Further compounding the issue of “too much data, too little time” is the failure of most technological platforms to successfully aggregate previously siloed data into searchable, actionable information.

Spyglass addresses these shortcomings by serving as a robust enterprise framework that allows analysts to rapidly access, organize, and analyze all relevant data—regardless of its originating system. The application provides usable intelligence that is current, accurate, and complete to ensure analysts have access to what they need when they need it through a truly global search platform. The power of the Spyglass concept lies in the intuitive workflow that allows analysts to find both data and subject matter experts (SMEs) of which they otherwise may not be aware.

For more information on how Spyglass empowers analysts to accomplish more in less time, download our datasheet.

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Previous efforts to safeguard sensitive information made data-sharing nearly impossible and severely restricted analysts’ ability to collaborate with one another. Spyglass overcomes such barriers and aggregates data from virtually anywhere into an intuitive interface that works similarly to commercial search engines. Analysts can search for data by entering keywords without special syntax; results can be filtered using a set of facets that can easily be added or removed, allowing the analyst to thoroughly explore the data before eliminating anything that might be significant. That data can then be visualized through maps, tables, charts, and link analysis graphs.

Spyglass features social media functionality that is familiar to today’s analytical workforce. Analysts can post information—via text or attachment—in a public forum while still retaining the ability to limit its distribution based on the data’s sensitivity. Users can tag other analysts and utilize hashtags, ensuring that pertinent content is easily discoverable by others who may have an interest in the subject matter. Posts also feature a voting mechanism through which users can indicate their concurrence or disagreement.

Spyglass is an incredibly powerful tool that helps analysts of all skill and experience levels find relevant information quickly wherever it resides. What really sets the platform apart from conventional analysis tools is the recommendation engine, which helps analysts discover and access resources of which they may not be aware. Spyglass evaluates user activity—such as searches, casework, shared posts, and more—and leverages that information to suggest posts, cases, and SMEs that may be pertinent to the analyst’s work. Users can accept or dismiss suggestions, providing feedback to the system that will improve future recommendations.