Predictive Policing Essay

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Running header: PREDICTIVE POLICING Predictive Policing Ramona Fulbright Strayer University Raied Salman CIS 500 section 009 Predictive Policing In the past, the police department used car radios and telephones that were located on corners of the street to help fight crime. Since that time, technology has made it possible for police officers to communicate and respond quicker to a crime. This writer will explore some of the comparisons and contrasts of application and information technology (IT) to optimize police departments’ performance to reduce crime versus random patrols of the streets in New York City. The writer will explore how COMPSTAT (COMPuter STATistics) is applied to performance to reduce crime. This writer will also explain some of the technology used in this case. The optimal time and place of this interaction was the streets of New York City. According to Turban & Volonino (2011), “the optimal time and place, from a marketing viewpoint, is when the customer is most likely to respond to an offer or want to engage in the interaction (p.12). Furthermore, according to Turban & Volonino (2011), “Performance is measured by how well those goals and objectives are met” (p.12). However, According to Goode (2011) the case study states that “In 1994, the New York City Police Department adopted a law enforcement crime fighting strategy known as COMPSTAT (COMPuter STATistics). COMPSTAT uses Geographic Information Systems (GIS) to map the locations of where crimes occur, identify “hotspots”, and map problem areas. COMPSTAT has amassed a wealth of historical crime data. Mathematicians have designed and developed algorithms that run against the historical data to predict future crimes for police departments. According to Turban &

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