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.
Maximizing Return on Data
-Surfacing new insights through visualization
-Applying new mathematical techniques to reveal new patterns
-Combining data from multiple sources to generate new knowledge
-Structuring data to maximize lifetime value within an organization
-Making the right data available to the right people at the right time
-Supporting decision-making with visualizations of real-time data
-Tracking multi-dimensional performance with next-generation BI
-Identifying new relationships in Big Data
Solving Complex Problems with Data
-Modeling risk and identifying blind spots
-Measuring market sentiment
-Improving product development
-Strengthening supply chains
-Getting more value from market research
-Making the design/innovation process smarter
-Analyzing post-launch performance
-Maximizing public participation in political decision-making
How They Work
Their approach is flexible and they offer a variety of services and models to ensure you get exactly what you need. Once they build a data-fueled, technology-based solution, they help to embed it into your organization and ensure it is delivering on its full potential. Typically, their engagements include the following:
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.
Where is Seed Scientific