News
News Coverage
Stomping cognitive bias
Published: Nov. 2012 by Deep Dive Intelligence
Games may help train intelligence analysts to overcome bias
Published: Nov. 2012 by Penn State Live
The Hill op-ed Bringing cognitive science to the intelligence community
Published: Oct. 2012 by The Hill
Raytheon, Penn State studying intel workflow
Published: Oct. 2012 by DefenseSystems
News Releases
Raytheon studies intelligence analysts' tradecraft to learn more about decision-making process
Posted: Mon, 08 Oct 2012
Raytheon to highlight analytics and other intelligence technologies at GEOINT Symposium
Posted: Thu, 04 Oct 2012
Features
Raytheon Studies the Decision-Making Process of Intel Analysts
Q&A: Behind the Scenes with Raytheon's Lead Cognitive Scientist Don Kretz
White Papers
Resources
Videos
Infographics
In 2011, the world generated 1.8 zettabytes of data. That's more bits than there are stars in the universe. Before the end of 2012, that amount of global data is expected to grow to 2.7 zettabytes.
Sifting through that data to find mission-critical intelligence is a big job. As the number-one provider of real-time intelligence, Raytheon is up for the challenge.
Raytheon works shoulder-to-shoulder with customers and knows their data better than anyone. We make the data better so analysts, warfighters and leaders can make timely decisions. Our deep understanding of mission data that has developed over the decades has enabled us to develop leading-edge analytics capabilities and tools.
Raytheon works with large sets of data of every major type of intelligence, processing and analyzing it to derive the most information for quick dissemination to aide timely and mission-critical decision-making.
Our algorithms provide automatic capabilities that identify areas of interest in large volumes of complex data. These algorithms can be run upstream at the point of collections to reduce the amount of data sent to the analyst or can be run downstream by the analyst. This increases analyst productivity by more than 10 times so they can focus on other mission priorities.
Our algorithms provide automatic fusion capabilities that produce photogrammetrically correct data that can be used to solve a wide variety of problems from indications and warnings to situational awareness to detailed analysis.
Raytheon offers more than 40 analytics tools and capabilities in these four primary focus areas:
- Big Data Processing
We have decades of experience securely managing intelligence Big Data and our data scientists make it better by improving geospatial image and signals accuracy and tagging with smarter metadata for better discovery. This eliminates wasted time and effort on invalid and inaccurate data. - Multi-Int Analytics
We merge various types of intelligence data and are a thought leader in fusion algorithms and in Activity Based Intelligence tools to provide better intelligence products and to free up analyst time for other mission priorities. - Cyber Analytics
Deep cyber analytics enhance our offerings in intrusion detection, predictive effects, MM/C2, and situational awareness/BDA. - Autonomy
We have reduced costs and increased mission effectiveness for our customers by enabling them to reduce UAS and space ops manpower, while increasing analyst productivity and IT efficiencies. We automate tasking for collection, analyst alerts and anomaly detection.






