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<br />We use custom software. Over the years of conducting analysis <br />for Fire Departments, we have created a best in class analytical <br />software called the Darkhorse Platform. This tool ingests your Fire <br />and EMS CAD and RMS data and brings it together into a clean <br />data set for analysis. This powerful tool allows us to quickly <br />diagnose what is happening in your area, and visualize <br />performance improvement scenario’s. Our software has been <br />labeled a best practice by The Western Fire Chief ’s Association. <br />The Darkhorse Advantage: Data Wrangling <br />We are an analytics company at heart. We know data is not always <br />clean and consistent. For these projects, we have created an <br />advanced Data Wrangler that brings data from your different <br />sources together and can clean, transform and join it to create a <br />consistent data set. This will help us have consistent outputs <br />throughout the project and allow for advanced insights. This tool, <br />along with our diligence toward clean data, has on numerous <br />occasions distinguished us from competitors. <br />The Darkhorse Advantage: Data Science <br />Darkhorse Emergency employs a proprietary model developed by <br />us in collaboration with the University of Alberta. This model has <br />been utilized and honed over 12 years to forecast demand and <br />predict performance for some of the largest cities in North <br />America. Time and time again, our predicted interventions have <br />matched reality and have helped Fire Chiefs make better, more <br />defensible, data-driven decisions. <br />The Darkhorse Advantage - Diagnostic Software <br />Darkhorse believes that analysis is more than putting up tables <br />and graphs. We believe there are signals in the data that tell a <br />true story of what is happening in a community. For our analysis, <br />we use an in-house built tool, Diagnostics, that can ingest EFD <br />data and allow for rich data exploration. <br />Using this tool we can analyze geospatial call data in a variety of <br />dimensions. It allows us to see performance for all calls and <br />diagnose root causes to late calls. This will allow us, together with <br />EFD leadership, to pinpoint stories and signals within the data <br />and come up with recommendations that are actionable and <br />meaningful. <br />18