big data. bigger insight.

CompassRed is a data and analytics company that helps guide our clients through the quickly evolving world of data.  We help others surface insights from their data so that they can improve their business.
At CompassRed, we want to use data in a better way.

Predictive Intelligence

We'll build solutions that use your historical data to predict events of interest, such as product demand, part failures, fraud, client outcomes, or customer responses.

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Leverage new data sources and advanced analytics to improve your understanding of your prospects and customers

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Business Intelligence


We help companies get answers to their most critical business questions through solutions that include infrastructure and tools development using industry best practices. 

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Data Strategy

We've built a repeatable and customizable methodology to define a vision for your data needs, surface gaps and provide a path to your “data nirvana”.

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Last week in our home state of Delaware there was an announcement - the New Castle County government launched an Open Checkbook. With the launch, New Castle County became the first local government in Delaware to embrace open data, joining the State of Delaware and their open data portal.

Everyday new data visualizations are built, highlighting information in a way that is interesting and meaningful for the people consuming it. As visualization libraries have improved, the breadth of visualizations has grown tremendously. Since the beginning of the year we've been amazed by some of the visualizations that have been built. Today, we're presenting 5 of our favorites (in no particular order).

The Google Analytics (GA) add-on for Google Sheets is an accessible introduction to the power of the GA API (Application Programming Interface), letting non-developers easily collect, manipulate, and share the data.

Revisiting "Personal Technology"

On October 17, 1991, Walt Mossberg published the first installment of his weekly column for the Wall Street Journal, Personal Technology.  In his first words, he succinctly summarized popular sentiment at the time towards personal computers. Now, 30 years later, his sentiments apply just as well to artificial intelligence as they once did to personal computing.