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Data is messy and increasingly complex. We transform data into meaningful information for decision-makers, using innovative and cost-effective tools. Our services are based upon several core tenets that inform all stages of the analytical process:
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Creating both static and dynamic data visualizations using cost-effective open source tools such as R and Shiny
Transforming raw data into metrics that help measure progress and meet targets
Wrangling messy data into useable formats that are ready for analysis.
Creating modern, web-ready reports that present information in effective and digestable formats
Gathering data from myriad sources using automated, efficient workflows (E.g. APIs)
Utilizing modern open source tools to understand location based data and create maps.
Custom web-based interactive business intelligence tools and dashboards.
Applying theory and statistics to create tools that estimate, predict, and forecast into the future.
Harnessing the power of large, complex datasets sourced from new technololgies.
Examples of our work, which highlight our emphasis on web-based data visualization and automated analysis.
Examples of applying data science to manage and visualize recreational projects.
Reid Haefer specializes in using data science to support decision-making for both public and private sector clients. His expertise spans several disciplines including urban planning, climate change, transportation, environmental science, energy, real estate, public policy, and sustainability. His technical interests include the creation of custom data tools, GIS, data visualization, and modeling using R & Python. Reid has a bachelor’s degree from Western Washington University and a master’s degree from the University of Washington. Examples of my work include:
Master of Urban Planning, 2014
University of Washington, College of Built Environment
B.A in Environmental Studies, 2010
Western Washington University, Huxley College