Continue working with fragmented data in silos that shroud their ability to quickly see when, where and why traffic accidents are occurring. By doing so, agencies can remain stuck in a reactive mode, unable to plan strategically for the reduction of accidents and fatalities.
OR
Mindfully improve their level of data sophistication, and build a safety strategy that is proactive or even preventative. By automating unstructured data, agencies can more easily integrate and transform data into insights that address real-world issues. Those data-driven agency decisions can then be used to save more lives—in communities and on roadways.
Crash data is collected manually at the accident scene to generate handwritten reports. To gain a copy of the report, involved parties must respond by mail or drive to the police station.
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Crash data is still collected manually and the paper reports are circulated by hand or mail. Online report distribution has been enabled for greater convenience and timeliness to the community.
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There is a commitment to electronic collection and distribution of reports, but the system is often outdated. Data of where crashes are occurring may exist, but there are little or no analytics about how they are happening — and why.
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With a more holistic approach to crash report collection, review and distribution, processes are automated and systems are integrated delivering data-driven, actionable decisioning for proactive enforcements and planning.
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By adopting an advanced technology platform infrastructure that enables the integration of business intelligence and connected data overlay, comprehensive crash and citation data visualizations drive highly strategic, preventive decisioning.
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