Today’s analysts are under increasing pressure to deliver incisive and actionable information from an exponentially increasing deluge of data. In many cases, the pressure is compounded by the lack of su�cient time to thoroughly research the topic and a dearth of technologies capable of assisting the analyst in �nding, organizing and analyzing the data that’s available. Spyglass provides a robust enterprise framework for rapidly accessing and integrating textual and multimedia content from virtually any system containing data relevant to the analyst. The application provides an end-to-end solution that assists the analyst with every aspect of the analysis and production e�ort, from discovering information to analyzing it and ultimately to generate actionable intelligence products.

Don’t Just Search - Discover!

Spyglass aggregates data from virtually anywhere into an intuitive interface that works very similar to commercial search engines. The analyst can search for data by simply entering keywords with no special syntax required. The results can then be �ltered by the analyst using a set of facets which can easily be added or removed as needed. This allows the analyst to explore the data before eliminating anything that might be signi�cant. That data can then be visualized in a variety of displays including maps, tables, charts and link analysis graphs.

The data that originates from conventional intelligence sources is enriched using an entity extraction engine that combs through the content and identi�es people, places, organizations and more. Spyglass can be con�gured to retrieve additional information on those entities from any number of commercial or classi�ed sources. This could include reference information from online encyclopedias or wikis as well as current status updates on a topic from a variety of social media sources.

Nex-generation Collaborative Analysis

• All-source data access

• Type-ahead free text search

• Faceted navigation of data

• Search by example

• Aided discovery

• Case management

• Rich, intuitive and modern social media based user experience

• Customizable and extensible platform

polarisalpha.com/spyglass/

Finding the Needle in the Haystack

The sheer volume of multimedia content available today is overwhelming. Spyglass helps analysts quickly �nd the needle in the proverbial haystack utilizing a search-by-example approach that uses images of objects as search criteria. The system is capable of searching through thousands of frames of video per second matching the productivity of 600 airmen exploiting the same amount of content manually and doing it at a much higher rate of accuracy.

The Power of Suggestion

Spyglass is an incredibly powerful tool for helping analysts �nd relevant information quickly wherever it resides but where it really sets itself apart from conventional analysis tools is in helping analysts �nd data they didn’t know existed or gaining access to subject matter experts they’ve never met. The application evaluates the activity of users (the searches they conduct, the cases they work on, the posts they share and more) and leverages it to provide suggestions to the analyst for searches, cases, and SMEs they may want to consult.

Enrich Your Understanding By Engaging Others

Analysts can share information with one another by posting it using a social media construct familiar to today’s analytical workforce. They can tag other analysts who they might be working with on a task or whom they think might be interested in the content of that post. Others can indicate their concurrence or disagreement with a post using a voting mechanism and can add their comments to the discussion. Posts and comments can include attachments as well.

Gang Up on Tough Problems

Collaboration can take place on a deeper level using cases which allow analysts to collect information as a group and then visualize it, discuss it and ultimately, work together on producing an assessment or brie�ng. Users can easily add content from articles, database records, chats, posts and more by simply tagging the case. The embedded entities within that content are extracted into the appropriate areas within the case. Analysts can control what people, places, organizations and events get added to their case or let the system add them all automatically.

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