How We Work
Our approach is flexible and we offer a variety of services and models to ensure you get exactly what you need. Once we build a data-fueled, technology-based solution, we help to embed it into your organization and ensure it is delivering on its full potential. Typically, our engagements include the following:




Data Discovery

Most large organizations are sitting on a goldmine of under-leveraged data — these assets are often siloed and structured in ways that limit usability, and are generally invisible to much of the organization -- severely limiting their potential impact. Through our Data Discovery process, we work to identify and characterize high value data assets and recommend possible applications to maximize their value to our client.



For a Fortune 100 healthcare company, we identified and codified valuable OTC-related data and generated novel applications of this data for design and product development.


For a Fortune 500 healthcare company, we identified a novel application of their vast HR database to a company-wide strategic initiative.






Data Collection

One of the greatest opportunities of the Big Data revolution lies in the variety of data now available -- and the insights that can be gleaned by mathematically and visually connecting data sets from disparate sources. Transactional data merged with social data, or online voting data coupled with government data, for example. We design and develop online, mobile, and offline platforms to capture data, identify and procure relevant open data sets from governments and NGOs, collect data from sensors, and mine real-time “data exhaust” streams from social applications.



For a government agency in the Middle East, we collected and parsed data from a wide range of open and proprietary sources to deliver a comprehensive and comparative view of the country’s performance in fostering a knowledge economy.


For a government agency in South America, we developed a platform to capture global public opinion data regarding sustainable development to inform a political process.






Data Science

We employ a wide range of mathematical techniques — and often, network and complexity science — to help our clients maximize the value of their data, surfacing new insights, risks, and opportunities. We work with a client’s proprietary data and often with open data to maximize context and depth. We devise algorithms and models to meet various client needs. We work either in support of a client’s existing analytical team or directly for a functional area within a client’s organization.



For a digital security company based in Europe, we analyzed large volumes of log file data for patterns and devised algorithms to detect anomalies in their network.


For a consumer goods company based in the US, we analyzed post-launch performance data across product categories and geographic markets to identify the most predictive indicators of ultimate product performance.






Data Visualization

Data visualization combines information design, human-computer interaction, and programming to help make sense of complex data. We design and build state-of-the-art interfaces and software applications to help our clients better see, understand, manipulate, analyze, and communicate their data. Our aim is to maximize the return on our client’s data investment by making data more flexible, findable, and understandable through design. We also provide information design services to Fortune 500 companies.



For a global consumer goods company, we designed and developed a visualization tool that leverages the company’s vast but previously disconnected market research data assets to give brand managers and product development teams a comprehensive view of their customers.


For a Fortune 100 industrial company, we visualized survey data concerning the state of innovation around the world to help support a high-profile strategic communications effort.