Key Components Of Intelligence-Led Policing Model

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Intelligence-led policing is a policing model that has transformed the way police conduct operations when dealing with citizens and criminals. “Intelligence-led policing aims to achieve crime reduction and prevention and to disrupt offender activity, it combines crime analysis and criminal intelligence into crime intelligence and focuses enforcement activities on prolific and serious offenders.” (Ratcliffe, 2008, p.87) “Intelligence-led policing is crime fighting that is guided by effective intelligence gathering and analysis- and has the potential to be the most important law enforcement innovation of the twenty-first century.” (Kelling, and Bratton, 2006, p.6)
Intelligence-led policing began in the 1990’s mainly in the United Kingdom, but
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“The intelligence process includes cycles of tasking, data collection, collation, analysis, dissemination and feedback.” (Ratcliffe, 2003) Key components of intelligence led policing are targeting offenders, establish a basis for decision making, surveillance, informants, crime analysts and decision makers. “Contrary to what the name may suggest, intelligence-led policing does not imply clandestine and covert activities conducted by shady officers. Rather, it is a business process model that determines where resources are needed, facilitates the organization of knowledge, coordinates activity and allows lessons to be learned from that activity.” (Budhram, 2015, p.50). “Intelligence-led policing has been concerned less with comprehensive reform of the police vision and more concerned with the effective allocation of police resources” (Bullock, 2013, p.140). This is one way how the intelligence-led policing differs from some other police models, like community oriented policing. Intelligence-led policing is more concerned on the change in intelligence gathering and analysis than an overall fundamental change of how police officers do their jobs. Police officers under intelligence-led policing models still conduct day to day operations how they generally have in the past, but now there is more “behind the scenes” analyzing of all the data that is

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