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Police forces are using predictive analytics to better equip officers and improve public safety but must rethink traditional practices to maximize return.
Police officers must have the right information available when and where they need it in order to protect the public. Such information can help officers not only solve cases, but also prevent crimes.
In recent years gathering, assessing, and sharing that intelligence has become increasingly complex. The active chatter of social media networks, powerful geographic profiling techniques, video CCTV footage, and other data-intensive factors reinforce the need for data analysis tools that can sift through the noise and identify reliable intelligence.
With many police departments facing flat or declining budgets and limited human resources, how can police services manage this wealth of information?
Forward-thinking police forces are using predictive and other analytics tools as a quicker, smarter, and more accurate way to analyze the huge amounts of data that can inform daily operational decisions and enable more effective day-to-day policing. By combining new digital technologies with analytics capabilities, police forces can, for the first time, generate important intelligence insights without the help of large teams of intelligence analysts.
Analytics is part of a new wave of disruptive technologies that help law enforcement agencies combat crime. It has the power to give even modest-sized operations real-time intelligence about their communities, helping better equip police officers in the field. And it promises to help law enforcement leaders develop more effective police services for the future.
February 21, 2014
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