I Know there is a Needle here somewhere...

Our focus on insights brings advanced analytic tools, techniques and capabilities to understand what critical information is available and what is needed to drive a decision. 

Our typical engagements start by helping an organization realize the value of the information they already have across their organization and how it can be applied to make better decisions. 

For example, our team explored if our client could improve how they conduct customer outreach by better understanding how their customers reacted to and behaved. By exploring the interactions and activities within the available data our team uncovered patterns of behavior that changed how our client engaged with these customers.


Types of Insights we've helped clients With:

  • How can I identify potentially fraudulent activity among multi-employer pension plans that are about to default?
  • How can I tell if a ship is illegally fishing, even when they are "over the horizon"?
  • How do I identify foreign tax evasion?
  • Aided Fortune 500 financial services firm in understanding links between marketing spend and its ability to create new customers
  • How can I identify money laundering by looking at the credit card data from foreign financial institutions? 
  • Applied text analytics over security officer’s field reports to identify criminal and terrorist enterprises.
  • With Defense Counterintelligence, applied text analytics to HUMINT reporting and broke open an international intellectual property theft case, awarded DCI Certificate of Appreciation for "Countering Denial and Deception”
  • Does the "Voice of my Customer" align to their actual behavior? 
  • I want to know the behavior patterns of my customers so I can provide the right incentives for them to self-serve on our website, rather than calling me

Case study: What doesn't look or quack like a duck?

We partnered with a large commercial satellite company to understand the behavior patterns of global ship movements "over the horizon". Although ships are required to self-identify key information such as name, type, destination, speed, etc. we found that there are sometimes cases where that doesn't match what was occurring.

The team used  advanced analytic tools to build behavior models for different types of shipping traffic. For example, what does a fishing vessel "look like", what does a container ship "look like", what does a luxury yacht "look like". The team identified cases where a luxury yacht was really a fishing vessel and where a container ship was really a liquid natural gas ship.

As data becomes a commodity it is now possible to build complex behavior models to understand the actual behavior of customers. Organizations are able to move away from just what the customers tell them they want and focus on the actual customer behaviors at an indiividual level.  For example, does the customer say they favor Nordstrum's over TJ Max, but they actually shop at TJ Max?


Case Study: Safeguarding our Pension System

We partnered with the Pension Benefits Guarantee Corporation (PBGC) to investigate possible instances of fraud in pensions funds before they fail. By looking for connections and links in the financial activities and relationships of these funds we identified instances where the employer was engaged in fraudulent activities pre-default.

Through the use of link analysis, complex social networks and financial transactions can be tied together to spot common patterns that would otherwise not be possible to rapidly identify. This speeds up investigations and helps prevent fraudulent behavior early.