Public Safety Operations

As executives in modern government agencies, you often must justify your operational and strategic decision making to a public that expects transparency and accountability.

To ensure that your activities align with your community’s needs, you must accurately—and efficiently—determine the demand for resources and then deploy them accordingly.

Calls for service (CFS) drive the demand for public safety resources, making law enforcement, fire, and EMS analytics the foundation for analyzing operational demands and strategic priorities. Despite understanding the essential value of CFS data, agencies often lack the resources, time, and tools
to transform their data into actionable insights. CFS’s analytics can help solve this problem.

CFS Analytics™: A Web-based Application that Processes and Analyzes Calls-for-Service Data

Across differing roles in law enforcement and police operation, CFS Analytics™ SaaS creates efficiencies, improves operations, and can bolster community relations. For example, police chiefs use CFS Analytics™ and 911 data to get big-picture insights of agency resources so he or she can optimize their use, while CIOs use CFS Analytics™ to make sense of existing data in a more efficient way. And for crime analysts, they can use CFS police and law enforcement analytics SaaS and 911 data to automate and track crime patterns and trends that could help predict and prevent crime.

CFS Analytics Technology Works with Your Existing Technology

CFS Analytics has a robust data architecture that makes CFS data analytically accessible. It is built on web technologies that run on existing hardware, making it quickly deployable across your agency with accessible, near real-time law enforcement analytics. As a cloud-based technology, CFS Analytics easily scales based on the size of your agency.

Sample Dashboards and Visualizations

Officer Allocation

CFS Analytics helps you visualize the allocation of patrol resources and identify the proportion of patrol resources dedicated to specific activities, such as citizen-initiated calls and self-initiated calls. With the example below, you can easily see where citizen-initiated calls increase through daytime hours while proactive activity remains fairly constant. This can help decision makers determine how many officers are available at any given time to engage in higher levels of proactive activity.

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Call Map

The tool visualizes CFS data in a way that readily identifies patterns and trends for users. The visualization shown below groups calls-for-service by their address to identify high call volume locations. Users can then drill down to specific addresses to see what types of calls are occurring with the greatest frequency. The tool aggregates high call volume locations from the jurisdiction-level down to the block-level, as seen in the example below.

Call Volume Heatmap

CFS Analytics provides the ability to determine when and where calls are happening. Call volume heatmaps show when calls are taking place as well as call quantity. In this example, you are able to drill down to determine whether quality-of-life calls have a similar temporal pattern. This heatmap shows that downtown quality-of-life calls for service are most commonly occurring between 8 a.m. and 7 p.m., Tuesdays through Saturdays.

Officer Response Time by Beat

This tool helps you to easily determine when and where calls are happening by filtering by district and priority type. This chart shows that District 4 takes the longest time to respond, whereas District 2 is the quickest to respond.

Officer Response Time by Priority

Once you determine where and when calls are happening, you can drill down by priority to determine why District 4 is taking the longest time to respond. This graph shows that Priority 5 calls are occupying more of District 4 officers’ time, while Priority 6 is not occupying much time at all.

Officer Response Time by Nature

You can also review District 4 calls by officer response time and nature to see what types of calls are occupying District 4. As you can see, most calls are hang-up calls. The next two highest categories are sex offenses and all other property calls.