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Information Technology is the methodology of utilizing computer hardware and software applications to store, manipulate, retrieve, and transmit data. IT is an essential part of any organization in today’s society, including entertainment, retail, manufacturing, healthcare, even law enforcement agencies. Information Technology is used to aid in storing, retrieving, analyzing raw data and transforming it into information in a timely and efficient manner. This paper focuses on law enforcement agencies and the implementation of Information Technology to optimize their ability to predict and reduce crime through predictive policing. Predictive policing is the usage of statistical information and analytical techniques used to identify potential offenders and crime hot spots and aid in crime prevention. Predictive policing allows law enforcement agencies to become less reactive and more proactive by predicting and preventing crime before it happens. Predictive policing is attracting increasing attention from law enforcement agencies around the country as departments struggle to fight crime at a time when budgets are being slashed (Goode, 2011). An innovation technology in predictive policing is a computer statistic or comparative statistic model known as COMPSTAT. COMPSTAT is a multifaceted dynamic approach to crime prevention, quality of life improvement, and personnel and resource management.

COMPSTAT is an information system that identifies established and emerging crime trends for the efficient use of resources to target those trends. The COMPSTAT system represents one method of utilizing and making effective use of existing computerized data. The process revolves around periodic meetings in which senior police officials and area commanders discuss crime trends and what police strategies and tactics are being used to address crime and other quality of life problems

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