Take a look back at this article to find out how the Oxnard Police Dept. in California was able to reduce the number of gang shootings in the city through the use of intelligence-led policing techniques.
With intelligence led policing, the Oxnard Police Dept. in California is reducing the number of gang shootings in the city.
Located in the Greater Los Angeles area, and with a population of about 207,000 residents, the Oxnard Police Department (PD) continually seeks ways of effectively addressing gang violence.
To combat this problem, the Oxnard PD uses information-driven policing techniques to help address gang activities, especially when there is a connection with violent crime.
In the spring of 2017, dozens of burglaries were reported in the city of Clovis.
Located in California’s Central Valley, Clovis averages approximately 1,000 burglaries per year. However, the city shares a border with the city of Fresno, which has the second-highest property crime rate in the county.
According to Sgt. James Munro of the Clovis Police Dept., law enforcement officers worked with crime analysts to determine a pattern among the burglaries. To do this, data was taken from the Clovis PD’s law enforcement records management system.
This data showed when and where individuals reported their vehicles were broken into along with what was stolen, which included wallets, purses, and valuables.
This information was gathered by victims' reports, security camera footage, time of day, and location of the burglaries. Individuals also reported the type of vehicle used to flee the scene, although none could get a read on the license plate number.
With all of this information, crime analysts with the Clovis PD were able to connect cases and identify a pattern.
"Our crime analysts were able to use this information generated from our records system, which helped us connect all of the open burglary cases," Munro said. "When you're able to connect cases not only can you potentially identify a suspect, but you can also start developing a crime pattern,".
By connecting cases and examining data within the police department's records system, a suspect was identified and his description was shared with officers.
The suspect was apprehended during a routine traffic stop when the patrol officer noticed he fit the description of the burglary suspect and had stolen property in his vehicle. The Clovis PD closed more than 40 open burglary cases as a result of arresting the individual.
In the spring of 2017, Oxnard experienced a rash of gang-related shootings, some of which were fatal. To address the violence, Oxnard PD Assistant Police Chief Jason Benites said that staff worked to identify parts of the city that were most likely to experience this violent crime.
Detectives, officers, and crime analysts worked together using data to identify these locations, so they could increase police presence in areas where the shootings occurred most frequently.
To do this, Benites said staff pulled information regarding the shootings from the department's law enforcement records management and analytic reporting systems. These systems helped determine when and where the shootings occurred, who was involved, and circumstances surrounding the events.
"When you can look at data that says the specific areas where an event has occurred and the specific time it occurred, it helps you to identify patterns," Benites said.
By collecting this data, the department was able to redeploy patrol officers to specific areas during specific times where the shootings occurred most frequently. Almost immediately, this increase in police presence helped reduce the shootings significantly.
"Having the ability to gather data that helps us strategically use our limited resources to their maximum potential helps us keep the community of Oxnard safer," Benites said.
From fugitives on the run to massive pileups, the stories from The Call show the type of dynamic situations dispatchers, first responders, sworn officers, and civilian employees handle on a daily basis and the role that technology plays while they make communities safer together.
In looking back at the first half of 2017, the following posts and videos to The Call highlight the work of public safety personnel throughout the country:
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This article is part four of a four-part series on intelligence and reporting tools Part one | Part two | Part three | Part four
When it comes to big data in public safety, getting to the big picture is important.
At public safety agencies across the country, command staff need to be able to identify and digest information about their communities quickly. That means they need to have the ability to analyze the vast amounts of data collected and stored within their public safety software systems. With the right intelligence and reporting tools, dashboard functionality helps make this happen.
Dashboards provide a high-level overview into crime trends and help easily identify large spikes in crimes or patterns. This data helps command staff to gather the necessary information to take action so they are better able to predict, prevent and reduce crimes.
When intelligence and reporting tools offer dashboards, it helps public safety personnel who aren't as familiar with law enforcement records management software to look at the same information to view instant updates regarding trends or crimes happening at that moment.
This functionality is especially beneficial when command staff have a specific question that needs answered. For instance, if command staff needs to know if burglaries have increased in a specific area, dashboards provide the answer. This actionable intelligence helps command staff to reallocate resources if necessary to increase patrol and reduce crime, which leads to safer communities.
This article is part three of a four-part series on intelligence and reporting tools Part one | Part two | Part three
Data analysis plays an important role for public safety agencies as it can be used to help predict, reduce and prevent crimes. However, this is only possible when agencies possess the tools necessary to extract data from their public safety software system.
For example, if an agency needs to know how many tickets were issued in a specific week, a standard data analysis tool can generate a report with that information. This type of interaction is transactional in that it provides users with what they asked for, but it does not offer anything additional.
To obtain additional information, public safety agencies need to use an intelligence and analytical tool that can do more with the data.
A robust intelligence and analytical tool is going to look at tickets issued and instantly break them down by time of day, day of the week, the frequency in which tickets were issued, what locations in a jurisdiction received tickets, and the percentage of increase for each of those issues. This same tool will display this information in Microsoft Excel pivot tables so it is easily digestible by users.
With Excel pivot tables, users can extract any information they request, so long as it exists in the system. Information is then generated in real-time and creates a report in less than 30 seconds. Without this tool, the same process could take hours.
Having this capability to use actionable intelligence stored in a public safety agency's own system provides users with the ability to generate a plan of action to predict, reduce and prevent crime.
Part 2 of a 4-part series on intelligence and reporting tools Part one | Part two | Part three
The right kind of tools can enhance any task, and that's especially true for public safety agencies using big data.
When law enforcement agencies and fire departments analyze vast amounts of data using intelligence and analytical reporting tools, actionable intelligence is generated. This intelligence helps command staff identify trends, allocate or reallocate resources and predict, prevent or reduce crime.
But to make use of data that can help create actionable intelligence, it's important to use an intelligence and analytical tool that stores data on a Microsoft SQL server.
The SQL server has the ability to analyze vast amounts of data and present information in a digestible manner. The server can instantly compile data into digital cubes so users can extract information from the data and present the material in an Excel spreadsheet or heat map.
For example, if command staff wanted to know where most accidents were occurring in town, the right intelligence and analytical reporting tool would be able to show where accidents occurred, when they occurred, the frequency in which they occurred, and the time of day that they occurred.
The right tool can also identify correlations in the data and present information to users that could have been otherwise overlooked. To do this, the data is shown on a heat map, providing a visual representation of the data queried.
However, that does not mean the tool will present an agency or department with what it needs to do to reduce incidents. Rather, it provides the actionable intelligence so public safety professionals can make decisions based on data.
With this information, resources can be reallocated so that accidents or crimes or whatever the issue at hand is can be reduced. This leads to safer communities and more lives saved.
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