Digital Reasoning and Semantic Research Tie Up

April 2, 2012

Digital Reasoning and Semantic Research today announced that they have integrated Digital Reasoning’s Synthesys big data analytics solution with Semantica data fusion and analysis software.

The integrated solution combines unstructured text analytics at scale has been combined with visualization. In addition, the tie up provides licensees with analytical workflow tools to deliver a unique solution for automatically understanding people, places, and hidden relationships in big data.

The ability to manipulate information with these tools facilitates the understanding of content without an analyst’s manually reading. Information from social networks, supply-chain networks, terrorist networks, financial networks, and government networks, among others, can yield new insights . Navigate to to check out a video of some of the features and functions available.

Tim Estes, founder and CEO of Digital Reasoning, told us:

There is no other solution that provides massively scalable unstructured data analytics with auto-populating of visualizations and workflows tailored for the Intelligence Community. The solution we are delivering together has the ability to address key big data analytics challenges in the enterprise and government markets alike.

For more information about Digital Reasoning, point your browser at The firm provides automated understanding for Big Data.  “Automated understanding” analyzes unstructured and structured data to reveal the hidden and potentially valuable relationships between people and organization in space and time.  Digital Reasoning’s flagship product, Synthesys uncovers insights and accelerates the time to actionable intelligence.

Semantic Research ( is redefining the way users visualize, interact with, and understand data and information within the Department of Defense, Intelligence and Law Enforcement communities.

This looks like a promising tie up.

Stephen E Arnold, April 2, 2012

Sponsored by

Search Only Goes So Far

January 30, 2012

Infocentric Research surveyor Stephan Schillerwein, who presented his findings at the Online Information Conference, released some alarming statistics about enterprise search in his report “The Digital Workplace.” Among the points which jumped out at me were 40 percent of employees use the wrong information when conducting enterprise searches and 63 percent “make critical decisions without being informed,” which results in a 25 percent work information productivity loss.

According to the Pandia Search Engine News Article “Huge Problems for Search In the Enterprise” Schillerwein believes there are a few reasons why enterprise search is problematic. Users don’t account for the fact that enterprise search is different from Web Search, they have unrealistic expectations and there is a clear problem of lack of content. The Pandia article asserted: Schillerwein suggests a solution based on several elements, such as consistent coverage of information flows for processes, bringing together the worlds of structured and unstructured information, and adding context. I would agree as this ability to combine structured and unstructured data while maintaining context is key in our approach. However, when you combine the crowded jumble of tweets, social media and other data that crowd employees’ smart devices the problems with enterprise search could continue to take a downward spiral and “finding a needle in a haystack” could be easier than doing an enterprise search.

These observations triggered several questions and observations.

First, there are a number of companies offering enterprise information solutions. Many are focused on the older approach of key word queries. There are business intelligence systems which provide “find-ability” tools along with a range of useful analytic features. Although search is not the focal point of these solutions, they do provide useful visualizations and statistics on content. The problem is that most organizations are confused about what is needed and what must be done to maximize the value of systems which go beyond key word retrieval. This confusion is likely to play a far larger role in enterprise search challenges than many market analysts want to acknowledge. Instead, many solutions today seem to be making information access more confusing and problematic, not clearer and more trouble free.

Second, the challenge may be more directly related to figuring out what specific business process needs which information. Without a clear understanding of the user’s requirements, it may be difficult to deploy a system that delivers higher user satisfaction. If this hypothesis is correct, perhaps more vendors should adopt the approach we have taken at Digital Reasoning. We make an extra effort to understand what the user requires and then invest time and resources in hooking appropriate information and data into the system. No solution can deliver the right fact-based answers if the required information is not within the data store and available to the algorithms which make sense of what is otherwise noise? We think that many problems with user acceptance originate with a misunderstanding or sidestepping of user requirements and the fundamental task of getting the necessary information for the system.

Third, the terminology used to describe information retrieval and access is becoming devalued. At Digital Reasoning, we work to explain succinctly and without jargon how our next-generation system can facilitate better decision making for financial, health, intelligence, and other professional markets. We have complex numerical recipes and sophisticated systems and methods. Our focus, however, is on what the system does for a user. We have been fortunate to receive support from a range of clients from government and industry as well as the investment community for our next-generation approach. We think our strength is our focus on the customer’s need and not only our unique predictive algorithms and cloud-based solution.

To learn more about Digital Reasoning and our products, navigate to .

Dave Danielson, Digital Reasoning, January 30, 2012

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Too Much Data? Digital Reasoning Has a Solution

October 21, 2011

More and more businesses are turning to companies specializing in analytics to simplify the massive amounts of data and turn that data into meaningful information. Digital Reasoning is one such company and a recent interview with Robert Metcalf, president, as found on the company’s website sheds light on Digital Reasoning’s past, present and optimistic future.

The company was born in 2000 in Franklin, Tennessee, and has had some impressive accomplishments in its first decade. Synthesys, its technology’s name, was chosen in 2009 by the United States Army Intelligence as the core of its INSCOM Enterprise Platform.

Alongside government entities, Digital Reasoning also supplies analytics to the commercial sector. One of the questions asked during the interview was what are the challenges servicing both government and commercial industries. According to Metcalf that challenge of providing a service that can be made applicable across several industries is one of the components that makes Synthesys unique and gives Digital Reasoning an edge in the market.

When asked about the accomplishments over the last year, Metcalf said:

…we are very pleased with the course over the last number of months, and particularly over the course of this year, the strides we’ve made with regard to our technology, particularly with respect to the work we’ve done with our analytics, our algorithms, and our approach to unstructured data, and leveraging some great technologies in Hadoop and Cassandra and seeing those things continue to mature and scale as our product and product roadmap continues to be developed.

Metcalf also reported that he believes the last ten years have been spent trying to sort through all the data that companies by which companies are bombarded. While that is a useful process and quite necessary he sees the next ten years moving toward finding meaning within the data. That is where Digital Reasoning comes in useful and Metcalf anticipates a surge in interest in the company as a result.

All and all, Digital Reasoning is poised to explode in the market of data analysis and vertical filing. With its ducks seemingly in a row and successes already under its belt, this sophomore company gets a big thumbs up from us.

Catherine Lamsfuss, October 21, 2011

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Ric Upton Leads Digital Reasoning

September 20, 2011

Digital Reasoning is proving to be one of the leaders in entity based analytics.  The firm’s  web site declares this mission:
Digital Reasoning empowers decision makers with timely, actionable intelligence to creating software to automatically make sense of complex data.
Dr. Ric Upton leads Digital Reasoning’s DC area office and team.  In an exclusive recent interview he expounds upon the services offered by his company. He maintains his company is set apart from the competition because the “Digital Reasoning approach is a complete solution, offering intelligent mechanisms leveraging advanced NLP and related technologies to identify and extract entities . . . unstructured (and structured) data, sophisticated methods for dealing with co-referencing and context . . . and highly effective mechanisms for identifying and understanding the relationships between entities over space and time . . . the Digital Reasoning solution is the first solution to deal with the entire problem.”
Dr. Upton also explains how Synthesys helps a client make an informed decision.
Our flagship product, Synthesys®, solves the problem of achieving actionable intelligence out of massive amounts of unstructured and structured text . . . A typical customer might be trying to completely understand how to locate an individual within massive amounts of reports . . . Sifting through all this data to accurately develop this profile even among misspellings, aliases, code names, etc. is typically something that can only be done by reading. Our ability to automate understanding is critical to customers with concerns about time, accuracy, completeness, or even the ability to leverage the massive amount of data they have generated.
Digital Reasoning, under the leadership of Ric Upton, is worth keeping an eye on.  Stay tuned.
Emily Rae Aldridge, September 20, 2011

Inteltrax: Top Stories, September 5 to September 9

September 12, 2011

Inteltrax, the data fusion and business intelligence information service, captured three key stories germane to search this week, specifically, we saw a trend of money saving pop up in three stories this week.

The first financially focused story was “Navy, HP and Others Cut Costs with Analytics” which briefly explored how the aforementioned institutions trimmed already tight budgets by investing in BI.

Return on Investment (ROI) was another money-centric topic discussed in “Terradata and Company Improve ROIs” in which we showcased how well those investments pay off.

Finally, on a slightly different note, we took a look at how different users are defining the value from BI in the story, “Value Creation Defined in Different Ways by BI Experts” .

During these tough economic time, companies around the globe are clearly looking to get the best value for their money, and save as much as possible. Thankfully, business intelligence software is helping solve those two trying problems. We’ll keep a close watch as this world undoubtedly expands.

Follow the Inteltrax news stream by visiting

Patrick Roland, Editor, Inteltrax.

The Summer of Big Deals

September 1, 2011

Will These Blockbusters Affect Business Intelligence?

The summer has been a hot one, not in terms of temperature, but when measured on the acquisition thermometer. First, Oracle the sprawling database and enterprise applications company bought InQuira. Then, Google took one third of its cash and the equivalent of two years’ profit and bought Motorola Mobility. And Hewlett Packard, one of the icon’s of the Silicon Valley way, spent $10 billion on its surprise purchase of Autonomy plc.

Business intelligence, intellectual property, and information management turned up the heat for investors and those tracking active market sectors. The market interest is high and many think these deals are likely to sustain their energy. But I don’t see it that way. I think the deals are more like dumping charcoal starter on charcoal briquettes: Very dramatic at ignition but certain to cool and fade into the fabric of day-to-day activity.


Starting a charcoal fire can produce some initial pyrotechnics. These fade quickly.

As the founder of Digital Reasoning, a company focused on delivering the next-generation solution-based on entity oriented analytics, I see these deals from the perspective of working with customers to solve big data analytics challenges. First, let me give you my view of information management and traditional business analytics and then outline where I think the technology and the market are going.

Business intelligence in general and analytics particular are now verbal noise. I know that most of the professionals with whom I speak interpret the phrase “business intelligence” in terms of their own experiences in getting information to make a decision. For some, business intelligence is a report and follow up telephone conversation with a human expert. Don’t get me wrong, consultants and advisors often do great work, but my point is that the phrase “business intelligence” is anchored in a method of information analysis rooted in human behavior unchanged since our ancestors sat around the camp fire roasting meat on sticks.,

The word analytics is equally difficult to explain. For many of our clients, analytics means SAS or SPSS (both the bread and butter of traditional statistics courses and business analysts from banking to warehouse management).

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