Discover how Peregrine reinvents police scheduling and resource management

“Partnering with Peregrine has transformed our operations, making us a more efficient, data-driven police force.”

Lt. Ramin Mahboobi

Fremont PD, California

The Fremont Police Department (FPD), like many other state and local public safety agencies, is currently managing recruitment and retention challenges. As Fremont PD assessed the number of available resources, the chief and command team recognized the need to use dispatched call data to inform how to best deploy officers in their city’s three zones at peak call times, while considering factors such as call priority and type of call.

Before partnering with Peregrine, an advanced data analytics platform for public safety, Fremont PD grappled with accurately analyzing dispatched calls – instances when an individual calls 911 and police respond – due to the complex variables and features associated with each call type in their existing computer-aided dispatch (CAD) system.

The CAD system does not provide the data granularity required to differentiate between some types of on-view calls versus dispatched calls. This general classification of calls for service did not allow for the complex analysis needed to make informed decisions on personnel allocation and shift schedules.

Lt. Mahboobi, known for his data-driven mindset, assessed the data and sought a solution that would truly empower his department to make well-informed data-driven decisions resulting in a new and enhanced deployment structure.

Peregrine's dedicated Fremont PD deployment team worked closely with FPD's Crime Analysis and Dispatch teams to build a configurable set of filters that could accurately identify and re-define a dispatched call. Peregrine’s methodology automatically analyzed calls for service based on their priority, type, and on-view status, and eliminated calls for which the call log did not actually indicate an officer was assigned to respond.

The final implementation passed each call for service through a complex series of rules to tag it with the appropriate status: dispatched or not. With Peregrine, Fremont PD generates this new insight about each call in seconds, whereas an analyst would have taken hours or days to tediously tag calls for service to replicate the same analysis.

Of course, understanding data is only half the battle. For Lt. Mahboobi, the next step was leveraging the knowledge gained from Peregrine to make better decisions about staffing models.

Driving value for officers and the communities they serve

As a result of working with Peregrine, FPD was able to clarify that a portion of the calls for service volume were officer-initiated calls, which unlocked a more accurate approach to adjust staffing to better serve the community.

"Data-driven decisions improved our patrol schedules and resource allocation," said Lt. Mahboobi. "Peregrine has been instrumental in helping us deeply understand our data."

Peregrine provided the context that Lt. Mahboobi used to build the best possible patrol staffing plan. Those insights would have otherwise been inaccessible due to Fremont PD’s legacy systems and the complexity of the data required to get to the right answer. As a result, Lt. Mahboobi built a shift model with a more equitable and sustainable workload for officers and optimal service for Fremont residents.

Peregrine, a company helping public safety agencies solve their most challenging problems, offered the only solution that enabled FPD to accurately analyze workload and shift productivity. Ultimately, this meant helping Fremont PD make data-driven decisions for resource allocation and planning.

"Peregrine was integral in helping us shape our deployment schedule," said Mahboobi. "We were able to make adjustments based on the data and ensure officer safety, while also effectively serving our community."

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Peregrine is built on AWS GovCloud.