Discovering Insights

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. We identify new opportunities to increase the value of internal and 3rd party data. 

For example, our team explored if our client could improve how they conduct customer outreach by better understanding how their customers reacted 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.


What doesn't look or quack like a duck?

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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 cases where that doesn't match what is 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 individual level.  For example, does the customer say they favor Nordstrom over TJ Maxx, but they actually shop at TJ Maxx?

Safeguarding our Pension System

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We partnered with a U.S. federal client to investigate possible instances of fraud in pension 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 can be tied to financial transactions to spot common patterns that would otherwise not be possible to rapidly identify. This speeds up investigations and helps prevent fraudulent behavior early.