...5 Insights for executives Predictive analytics The C-suite’s shortcut to the business of tomorrow Of special interest to Chief executive officer Chief financial officer Chief marketing or sales officer Chief information officer In the era of big data, companies across a range of industries are recognizing the need for better intelligence and insight about their business. They want to work out how to make the best decisions, drawing on the right information, at the right time. • Finding and accelerating growth opportunities — drawing on internal and external data to help model and predict business outcomes, identify the most profitable opportunities and differentiate the business from its rivals. One organization that has been pioneering in its use of predictive analytics has been the United States Postal Service. Using an analytical approach, it predicted which workers’ compensation claims and payments were unwarranted — and saved some US$9.5 million during 2012 alone. This is not an isolated example: many leading organizations have started to regard their information as a corporate asset. • Improving business performance — enabling agile planning, more accurate forecasting, better budgeting and trusted decision-making support. Business benefit can be gained by creating systems that can convert information into actionable insights, all within the context of key business priorities. Some of these include: 2 | 5 Insights for executives ...
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...Assignment 1: DDS, BI, Business Analytics, and Predictive Analytics LaShonda Spell Prof. S. Mirajkar CIS 356 Operating a successful business today involves utilizing the correct tools to make the best decisions for that business. The main tools that are used for making critical business decisions are DSS, DDS, BI, Business Analytics and Predictive Analytics systems. The concepts/ systems mentioned assist management in the major decision-making processes by providing crucial operational data in comprehensible formats for monitoring/ reviewing and analyzing. Making the best decisions regarding business operations determine the success or failure of the company and ensures that all business strategies are implemented and effective. In this essay, there is a brief overview of the similarities/ differences, methodologies/ technologies and evaluation of the capabilities of DDS, BI, Business Analytics and Predictive Analytics systems. Similarities and Differences among DDS, BI, Business Analytics, and Predictive Analytics regarding business scope/origins /histories/ methodologies/ technologies DDS (Data Distribution Service) are data communications based on the standards managed by the OMG (Object Management Group). The standards set by the OMG of DDS describe different latency levels of data communications for distributed applications (Twin Oaks Computing, Inc., 2011). DDS standard support data defining applications, dynamic publishing/ subscribing discovery and QoS policy...
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...Master of Science in Information Systems CIS 500 – Information Systems for Decision Making Name: Sindhura Garikapati Assignment Title: Predictive Policing Professor: Dr. Mark Cohen Date: 8 July 2014 ABSTRACT Predictive policing relies on using advanced technological tools and data analysis to take proactive measures to pre-empt crime. Predictive policing is the advanced strategy of using information systems to forecast future crime and take necessary measures to prevent them. Los Angeles police department Chief of Detectives Charlie Beck defines it this way – “With new technology, new business processes, and new algorithms, predictive policing is based on directed, information-based patrol; rapid response supported by fact-based prepositioning of assets; and proactive, intelligence-based tactics, strategy, and policy. The predictive-policing era promises measurable results, including crime reduction; more efficient police agencies; and modern, innovative policing.”(©ACLU of Massachusetts) TOPIC 1 Compare and contrast the application of information technology (IT) to optimize police departments’ performance to reduce crime versus random patrols of the streets. The professional era of policing began in the 1960’s when the policing strategy was based largely on random patrol...
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...Understanding Predictive Policing Christian Turner CIS 500 - Information Systems Decision Making Dr. Edwin Otto 10/23/13 In today's fast-paced world, we are always looking for ways to improve the processes that we have in place. Not only to make these processes more efficient, but to also have a more effective way to complete tasks from the smallest detail to the largest project. With the influx of importance on information technology in our society, it is no surprise that we can use software for process improvement as well. Predictive policing is a perfect example of this combination of a proven process and information technology coming together to create an effective tool. Compstat (COMPuter STATistics) is one such tool that has optimized police departments abilities to predict and reduce crime when compared to random street patrols. Our society is sophisticated on many levels and crime is no different. Just as we have advancements on the positive aspects of life, the negative aspects are advancing right alongside. Predictive policing, "taking data from disparate sources, analyzing them and then using the results to anticipate, prevent and respond more effectively to future crime", can and has been a great positive advancement for mitigating and in some cases stopping crime altogether. Pearsall, B. (2010, May). "Predictive policing entails becoming less reactive. "The predictive vision moves law enforcement from focusing on what happened to focusing on what will happen and...
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...PREDICTIVE POLICING STEFANIE SHEFFIELD KEGAN SAMUEL CIS 500 APRIL 21, 2014 Compare and contrast the application of information technology (IT) to optimize police departments’ performance to reduce crime versus patrols on the street. The process of using the application of information technology (IT) to optimize police departments’ performance is known as Predictive Policing. “Predictive policing, in essence, is taking data from disparate sources, analyzing them and then using the results to anticipate, prevent and respond more effectively to future crime.” (Pearsall, 2010) This technology allows police to predict the problem areas and place officers in those areas in an effort to deter the predicted crimes. Quit simply put, it enable law enforcement agents to be proactive as opposed to reactive. “Predictive policing entails becoming less reactive. The predictive vision moves law enforcement from focusing on what happened to focusing on what will happen and how to effectively deploy resources in front of crime, thereby changing outcomes," (Pearsall, 2010) In comparison to just placing beat cops on random corners, not knowing what could occur, predictive policing is definitely enables officers to anticipate what may occur, allowing them to optimize their police resources. Describe how COMPSTAT, as an information system (IS) implements the (4) basic IS functions: Input, Processing, Output, and Feedback. “The CompStat model is a management process within a performance...
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...Predictive Policing By Jamia Yant April 13th, 2012 According to mirriam-webster dictionary, optimization means “an act, process, or methodology of making something (as a design, system, or decision) as fully perfect, functional, or effective as possible” So if we compare the optimization of the police force by using information technology versus random patrol of street we have to look at what each is. For the use of application technology we also have to look at what kind of technology is available for use by the police force today. One of the most commonly used term is predictive policing. Predictive policing is “any policing strategy or tactic that develops and uses information and advanced analysis to inform forward-thinking crime prevention”. (Predictive Policing Symposium, 2010) There are five elements that are focused on predictive policing. They are: * Integrated information and operations * Seeing the big picture * Cutting edge analysis and technology * Linkage to performance * Adaptibility to changing conditions. There are mnay ways in which technology is used to implement these elements. Some of them are looking at the time and and location of future indcidence in crime pattern or series Identifying individuals likely to reoffend, social network analysis and early identifications of carreer criminals etc. Looking at the broad picture of predictive policing we can see that it would not have been possible without information technology...
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...Predictive Policing By Amiracle L. Grace CIS500 Information Systems for Decision Making Professor Constance Blanson Strayer University July 16, 2014 ABSTRACT You will briefly read about Table of Contents Introduction 4 Application of IT 5 Four IS Functions 6 IT and Crime Prevention 7 SWOT Analysis 7 Future of Predictive Policing 8 REFERENCES 9 Introduction In previous and the most recent years, police officers have increased their use of new technologies to become more effective when it comes to reducing crime. The oldest technology that has been used is COMPSTAT formerly known as Computer Statistics. COMPSTAT has been around to implement strategies in law enforcement on stopping crime before it starts. COMPSTAT builds onto the UCR (Uniform Crime Report) to analyze which crime is being mostly committed, the county (or city), which age group and ethnicity is committing those crimes. COMPSTAT relies on human recognition patterns based on past crimes (Goode, 2011). In 1994, COMPSTAT was developed within the New York Police Departments. The New York Police Department used COMPSTAT to manage crime. COMPSTAT has been proven to be extremely effective within the New York Police Department. It has become a great success in controlling crimes and its disorder within the police jurisdiction. COMPSTAT is used for strategic decision-making when targeting crime in areas of the city. COMPSTAT is a database that includes daily crime counts by each precinct (Henry, ). In the beginning...
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...Predictive Policing Information Technology deals with the use of computers and telecommunications to store, retrieve and transmit information. New IT capabilities (e.g., e-commerce and social networks) strongly influence competitive strategies and the efficiency of operations. New IT developments are important to all business disciplines because they trigger changes in marketing, operations, e-commerce, logistics, human resources, finance, accounting, and relationships with customers and business partners. Nothing about business or corporate strategy is untouched by IT. Information technology is used in a wide variety of business organizations like Wal-Mart, Galeries Lafayette. The IT has also been applied to optimize police departments’ performance to reduce crime. The following points illustrate the use of IT to optimize police departments’ performance to reduce crime. • It stores the data of the previous crimes in a single location for easy access. Whereas with street patrolling accessing of data regarding previous crimes takes some extra efforts as the data is not in a single location. • We can apply certain logics and calculations on the collected data to come up with some predictions. With street patrolling, based on the previous data and experience we come up with some predictions • The output of such a prediction is a report that gives the location and time of where the crime will occur. With street patrolling no such reports are available and the prediction is...
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...Crimes have been committed since the beginning of time. Early crime fighting or policing had the task of solving crimes with limited resources. Police departments for a long time used telephones, two way radios and vehicles to solve crimes, but as technology evolved, so did policing. Policing “is more streamlined and efficient now that computers play a major role in the way police officers work” (Brown, 2013). Police departments now utilize information technologies like dashboard cameras, laptops in their vehicles, GPS units, forensics work and fingerprint and criminal databases. CompStat is an information technology strategy that was adopted in New York City in 1994. It allows the police department to map areas where crimes occur, identify problem areas and “hotspots” within the city. It essentially predicts a crime before it happens. This allows the department to place officers in the proper areas, so that arrests can be made or so that crimes can be avoided. Police officers are more equipped to fight crime with information technology just performing random patrols of the streets. CompStat gives officers specific details so that they know exactly where to direct their attention. Simply patrolling the streets allows officers to have more of a community presence and build relationships with citizens of the city. CompStat’s output is based on past crimes, so patrolling the streets would make officers more accessible to adrress crimes that are happening for the first...
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...Predictive Policing By Jamia Yant April 13th, 2012 In order to effectively compare and contrast the application of information technology (IT) to optimize police departments’ performance to reduce crime versus random patrols of the streets, we first have to look at exactly what information technology is available to police today. The term predictive policing is the name given to “any policing strategy or tactic that develops and uses information and advanced analysis to inform forward-thinking crime prevention”. (Predictive Policing Symposium, 2010) The five elements of predictive policing focusing on are integrated information and operations, seeing the big picture, cutting-edge analysis and technology, linkage to performance, adaptability to changing conditions. There are a very large number of ways technology used to implement these five elements: patrol staffing and resource allocation, time and location of future incidence in a crime pattern, identify individuals who are likely to reoffend/early detection of career criminals, analysis of predatory patterns, threat and vulnerability assessment, city/neighborhood planning, traffic management, crowd control …and the list goes on. In a world where technology is developing and evolving faster than it can be implemented, it is realistic to assume that the police force would adapt and use that technology to place them in a good position to be able to adequately and effectively do its job. The first element...
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...Predictive Policing Elizabeth Lancaster Strayer University Information Systems for Decision Making CIS500 Dr. Rose July 10, 2014 Predictive Policing Predictive policing, in essence, is taking data from disparate sources, analyzing them and then using the results to anticipate, prevent and respond more effectively to future crime (Pearsall, n.d). In an attempt to effectively compare and contrast the application of information technology (IT) to optimize police departments’ performance to reduce crime versus random patrols of the streets, first you need to examine what information technology is available to police today. The term predictive policing is the name given to “any policing strategy or tactic that develops and uses information and advanced analysis to inform forward-thinking crime prevention” (Predictive Policing Symposium, 2010). Information technology is “the collection of computing systems used by the organization” (Turban & Volonino, 2011). Information technology (IT) is used to optimize the performance of police departments’ and reduce crime where prior to information technology, it was necessary for police officers to physically, patrol the streets in random locations in order to reduce crime. Police use information technology tools at almost every stage, including allocation of sources, patrolling, crime prevention, crime tracking, hot pursuits, and crime solving. New technologies have changed drastically in our ways of thinking, our perceptions, our...
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...Predictive Policing: Fighting Crime Using Information Technology Andrew E. Carrington III Strayer University Abstract The days of a police department’s dependency on random patrol techniques alone to fight crime are a thing of the past. Police departments across the United States have begun to use a strategy known as COMPSTAT (computer statistics). COMPSTAT is an extremely successful crime analysis and law enforcement management process developed by the New York Police Department. COMPSTAT uses Geographic Information Systems to map the locations of where crimes occur. The application of information technology has enabled countless police departments across the United Stated to reduce crime. This method known as predictive policing has led to a decrease in several crimes such as automobile thefts, robberies, and burglaries. Predictive Policing: Fighting Crime Using Information Technology Using statistics and analytical data to predict criminal activity has become standard practice in several police departments throughout the United States. This type of policing is known as predictive policing. Police and the use of information technology (IT) have received interest from a wide research community. One advantage of the predictive policing and the information systems are they allow for the police to respond to the crime much faster. Predictive policing also involves threats and weaknesses as the transition is attempted to bridge the gap between traditional policing methods...
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...This paper will compare and contrast the application of information technology (IT) to optimize police departments’ performance to reduce crime versus random patrols of the streets. It will describe how COMSTAT as an information system (IS) implements the four (4) basic (IS) functions; and it will determine how information systems have allowed police departments that implement tools such as COMPSTAT to respond to crime faster. Finally, this paper will apply the strengths, weaknesses, opportunities, and threats analysis (SWOT analysis) on behalf of police departments that intend to implement predictive policing. Compare and contrast the application of information technology (IT) to optimize police departments’ performance to reduce crime versus random patrols of the streets. Information technology is used by a lot of business organizations for its use of computers and telecommunications to store, retrieve and transmit information. In fact, its e-commerce and social network capabilities strongly influence competitive strategies and the efficiency of operations. As a result, police departments have applied IT in an effort to optimize their departments’ performance to reduce crime. To do so, police departments are using IT for the following reasons: it stores the data of the previous crimes in a single location for easy access, but with street patrolling accessing of data regarding previous crimes takes some extra efforts because the data is not in a single location...
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...Introduction In recent years, the idea of predictive policing, or the use of statistics and data to make policing decisions, has become widely popular in the United States. As police departments faced reduced budgets, improving efficiency in how they work to prevent crime is of great importance (Goode, 2011). However, predictive policing also create a focus on accountability, which has caused some police officers to respond negatively to such pressures (Willis, Mastrofski & Weisburd, 2003). The purpose of this paper is to briefly examine predictive policing and how tools such as COMPSTAT allow police departments to respond more efficiently to criminal activity. Information Technology vs. Random Patrols Before discussing specific issues involving the use of COMPSTAT as part of predictive policing, it is important to compare and contrast the use of information technology as a way of optimizing police department performance with the more traditional use of random street patrols. The use of information technology applications and performing random street patrols are actually similar because both methods of identifying and responding to crime are intended to examine the events and conditions that exist in a particular area so that criminal activity can be prevented before it actually occurs (Bratton & Malinowski, 2008). In essence, regardless of whether information technology applications or random street patrols are used, the overall goal is to be positioned in a way that...
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...1. Compare and contrast the application of information technology (IT) to optimize police departments’ performance to reduce crime versus random patrols of the streets. Information Technology and Performance optimization of Police department Increase in crime rate, which is widespread demands policing to be proactive rather than reactive. It requires change from traditional to strong strategically methods combined with better intelligence. This initially led to the innovation of predictive policing in 1994 by NYPD. NIJ defines Predictive Policing as “taking data from disparate sources, analyzing them and then using the results to anticipate, prevent and respond more effectively to future crime” This paved way for evolution of COMPSTAT (Computer Statistics) which used all crime related data as its input to anticipate a crime. (Willis, J., et al, 2004) Traditional methods include random patrolling which has limited ability to identify crime because patrolling entire location may not be possible. This would involve additional Police personnel and lot of time. Accurate anticipation, timely targeted action and reduce resources for random patrolling turns into achievable goals. 2. Describe how COMPSTAT, as an information system (IS), implements the four (4) basic IS functions: Input - Data gathering process which is building block of COMPSTAT comprises of information compiled from variety of sources like police incidents, arrest reports, suspect debriefing, telephone...
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