In the past, companies and governments turned to consultants armed with white papers and post-it notes to solve their most critical challenges. The world their clients face today is faster and more complex than ever before; it takes a new lens and new tools to stay ahead. Seed Scientific is the first data-centric consultancy. They leverage Big Data to craft solutions, fuel innovation, and improve decision-making for clients around the world in the commercial, public, and social sectors.
They are scientists, mathematicians, designers, and engineers — and blur the lines between these disciplines to get the most out of data. They embrace and take advantage of complexity; it frames how they think, distinguishes their work, and ensures their solutions reflect reality.
How They Work
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 their Data Discovery process, they work to identify and characterize high value data assets and recommend possible applications to maximize their value to their client.
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. They 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.
They employ a wide range of mathematical techniques — and often, network and complexity science — to help their clients maximize the value of their data, surfacing new insights, risks, and opportunities. They work with a client’s proprietary data and often with open data to maximize context and depth. They devise algorithms and models to meet various client needs. They work either in support of a client’s existing analytical team or directly for a functional area within a client’s organization.
Data visualization combines information design, human-computer interaction, and programming to help make sense of complex data. They design and build state-of-the-art interfaces and software applications to help their clients better see, understand, manipulate, analyze, and communicate their data. Their aim is to maximize the return on their client’s data investment by making data more flexible, findable, and understandable through design. They also provide information design services to Fortune 500 companies.