Fire and Emergency responds to a wide variety of emergencies every day.  To ensure the right resources are allocated to its stations Fire and Emergency conducts community risk assessments — evaluating the potential for fires occurring — and their likely intensity. In recent times, however, Fire and Emergency found its risk assessment methodology wasn’t reflecting the reality of its emergency calls.  Fires and hazardous materials were certainly part of a community’s risk profile, but so were natural disasters, medical events, motor vehicle accidents and rescues— scenarios that were not being factored into the existing methodology.

To assist Fire and Emergency in optimising its resource allocation, Datamine created risk profiles for the much wider range of emergency scenarios actually attended.  By combining census data with information sourced from 10 years of actual emergency call outs Datamine was able to create a model that predicts future incidents — and their severity.

Understanding the impact of a broader range of variables on a community’s risk profile provides Fire and Emergency decision makers with the ability to compare capital spending on otherwise unrelated items.  Would $1M be better spent on thermal imaging cameras, for example, or gas detection sensors?  And what spend mix would provide the optimum result?  With the risk profiles created by Datamine, Fire and Emergency is now better positioned to provide objective information when discussing resource issues with communities, unions, and other stakeholders.

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