...Background The National Basketball Association’s Orlando Magic franchise, like other franchises, such as the Cleveland Cavaliers, the Indiana Pacers, the Memphis Grizzlies, and the Oklahoma City Thunder to name a few, is considered a small market team. This means they exist in a city that has a small population and therefore a small fan base. These teams are contrasted to teams like the New York Knicks, the Los Angeles Lakers, and the Boston Celtics, that are big market teams and therefore have a very large fan base and as a result sell out all of their home games. The Orlando Magic’s ability to put “butts in seats” is further challenged by the fact that they compete with Walt Disney and other vacation attractions and resorts for attendance. The leagues policy of revenue sharing helps these small market teams stay in business, but they are challenged to be autonomous and profitable. Their profitability helps to expand the pool of available dollars to compensate the owners, players, and management. Like everything in life, if you are able to control your own destiny you can call your own shots. This is the motivation behind the team’s efforts to achieve autonomy and profitability to help them control their own destiny. The Approach The Orlando Magic made a decision to use business analytics to help them drive profitability and autonomy. Anthony Perez, Director of Business Strategy put in place a business analytics team that spent two years honing their skills on the business...
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...Data Mining Nabeel Ahmed University of Northern Virginia Abstract ‘The vein of research data is almost always richer than it appears to be on the surface, but it can only be of value if mined.—Morris Rosenberg’ (AGOSTA, 2000) Recent years, Data Mining has become hot topic of enterprises. More and more companies intend to introduce data mining techniques. One report from the United States treats data mining as one of the ten favorable fields in the 21st century, of which by means shows its importance. Generally speaking, data mining are often applied in those fields, such as insurance and finance industries, retailing and direct marketing industries, communication industry, manufacturing industry and Medical service industry, etc. The data related to management decision making has been accumulating surprisingly quickly because of the improvement in high technology. As the byproduct of internet, e-commerce, e-banking, pos system, barcode scanner and intelligent robot, the acquirement of electronic data has already become cheap and existing everywhere. These data are normally stored in data warehouse and data marts to provide assistance for management decision-making. Data mining is a fast growing field, its main target is to develop some techniques to assist the managers in intelligent analyzing and utilizing mass data. Data mining was already being reported in successfully utilized in the aspects of credit rating, fraud detection, database marketing, customer relationship...
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...and corporate profits. Finally, it enables them to "drill down" into summary information to view detail transactional data (Data Mining, para. 7).” Data mining is implemented online to promote business ideas, products, and other ways to market them. Data mining is used in political websites, when you go to some sites they take your information then, they began to send you things to promote the Republicans and Democrats message. This is how your voice counts. “Companies have used powerful computers to sift through volumes of supermarket scanner data and analyze market research reports for years. However, continuous innovations in computer processing power, disk storage, and statistical software are dramatically increasing the accuracy of analysis while driving down the cost (Data Mining, para. 2).” “With data mining, a retailer could use point-of-sale records of customer purchases to send targeted promotions based on an individual's purchase history. By mining...
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...many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases. Continuous Innovation Although data mining is a relatively new term, the technology is not. Companies have used powerful computers to sift through volumes of supermarket scanner data and analyze market research reports for years. However, continuous innovations in computer processing power, disk storage, and statistical software are dramatically increasing the accuracy of analysis while driving down the cost. Example For example, one Midwest grocery chain used the data mining capacity of Oracle software to analyze local buying patterns. They discovered that when men bought diapers on Thursdays and Saturdays, they also tended to buy beer. Further analysis showed that these shoppers typically did their weekly grocery shopping on Saturdays. On Thursdays, however, they only bought a few items. The retailer concluded that they purchased the beer to have it available for the upcoming weekend. The grocery chain could use this newly discovered information in various ways to increase revenue. For example, they could move the beer display closer to the diaper display. And, they could make sure beer and diapers were sold at full price on Thursdays. Data, Information, and Knowledge Data Data are any facts, numbers, or text that can be...
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...Machine learning is used to create predictive models. Machine Learning algorithms are really powerful, you won’t need to create one new algorithm but you should know the common ones from dimensionality reduction to supervised and unsupervised algorithms. Algorithms like: You’ve used machine learning dozens of times in a day, Google Search :) this works so well because machine learning software knows how to rank pages. When Facebook recognizes you friends in your picture that’s also is Machine Learning. All the tools and resources will help to solve problems but your goal should be finding right tool or model to be used and most important asking right questions. How can we solve real world problems with Data Science? Data Science is making an impact in areas far and wide. Data...
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...LinkedIn, and Facebook were built around big data from the beginning. Like many new information technologies, big data can bring about dramatic cost reductions, substantial improvements in the time required to perform a computing task, or new product and service offerings. Davenport.T (2013). Big Data is emerging from the realms of science projects at Web companies to help companies like telecommunication giants understand exactly which customers are unhappy with service and what processes caused the dissatisfaction, and predict which customers are going to change carriers. To obtain this information, billions of loosely-structured bytes of data in different locations needs to be processed until the needle in the haystack is found. The analysis enables executive management to fix faulty processes or people and maybe be able to reach out to retain the at-risk customers. The real business impact is that big data technologies can do this in weeks or months, four-or-more-times faster than traditional data warehousing approaches. Floyer.D (2015). Literature Review The IT techniques and tools to execute big data processing are new, very important and exciting. Big data is data that is too large to process using traditional methods. It originated with Web search companies who had the problem of querying very large distributed aggregations of loosely-structured data. Google developed MapReduce to support distributed computing on large data sets on computer clusters. Inspired by Google's...
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...I. Organization History SAS Institute Inc. - (Statistical Analysis System) is a software company that has been leading IT analysis since 1976. The company was started on the campus of North Carolina State University when two facility members (Jim Goodnight and John Sall), used grants provided by the United States Department of Agriculture to analyze vast amounts of agricultural data. At the time there was a need for computerized statistics programs, the grants provided allowed Goodnight, Sall and a consortium of eight land-grant universities to create the programs needed. When the grant funding came to a halt in 1972, the group of statisticians agreed to chip in $5,000 apiece each year to keep the project running. The analytical software was licensed by pharmaceutical companies, insurance companies, banks, and also by the academic community that had given birth to the project ("SAS Company Stats," n.d.). With a growing customer base that already numbered close to 100 academic, government and corporate entities, it was evident that success as an independent operation was possible. Goodnight, Sall and two other facility members decided to leave NCSU and develop SAS Institute Inc. - – a private company "devoted to the maintenance and further development of statistical analysis systems." The Company’s mission is to deliver solutions that drive innovation and improve performance ("SAS Company Stats," n.d.). II. Organizational Strengths and Weaknesses A. First organizational...
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...school football player is in critical condition after suffering neck and spinal cord injuries during a game. http://www.pe.com/local-news/riverside-county/corona/corona-headlines-index/20131124-santiago-football-player-remains-in-critical-condition.ece State Total More than 4,400 middle and high school student-athletes in Massachusetts suffered head injuries last year, according to reports filed by the schools. http://www.bostonglobe.com/metro/2013/11/25/mass-schools-report-head-injuries-among-athletes-compliance-with-concussion-law-rises/njPFK6a92knIhcvY9UGxdN/story.html Refueling Product A new product can allegedly help athletes refuel during competition by providing precise carb and electrolyte recommendations based on a quick analysis of their sweat. http://www.prweb.com/releases/FuelstripMMA/UFCBellator/prweb11284260.htm Vegan Praise Several top athletes credit veganism with playing a key role in their success. http://www.news.com.au/lifestyle/health/elite-athletes-reveal-the-vegan-diet-secret-behind-their-success/story-fneuzkvr-1226768537898 Baseline Challenges Three new studies of baseline testing highlight the difficult of accurately assessing an athlete’s true baseline ability. http://www.momsteam.com/studies-show-pitfalls-in-baseline-neurocognitive-testing Milk Lawsuit A judge has provisionally approved a $5.3 million settlement in a lawsuit filed against Muscle Milk that alleges the company falsely markets its products as “healthy.” http://www...
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...DATABASE SYSTEMS To understand what drives database design, you must understand the difference between data and information. Data are raw numbers or other findings which, by themselves, are of limited value to decision makers. Information, on the other hand, is the result of organizing, processing, and interpreting data, thus transforming the findings into facts that are useful to decision makers. For example, the number of new users your clinic serves in a month means little until you compare it with the number of new users from previous months and years to see whether there has been an increase or decrease in the trend over time. Data are transformed into information by: Selection: Choosing the data that are useful and adequate for answering the questions that have been posed, and ignoring the data that are useless or inadequate for that purpose. Interpretation: Analyzing the data to put them into context, uncover patterns or problem areas, and reflect on the meaning of these patterns in relation to the questions being asked. The overall objective of converting data to information is to describe, explain, predict, and/or evaluate a program and its results. In this “information age” production of accurate, relevant and timely information is the key to good decision making. In turn, good decision making is the key to business survival in a global market. We are now said to be entering to “knowledge age”. Data are the foundation of information which is bedrock of knowledge...
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...Page 1 of 8 ANZMAC 2009 Satisfaction with Services: An Impact-Performance Analysis for Soccer-Fan Satisfaction Judgements Marko Sarstedt*, Ludwig-Maximilians-University Munich, sarstedt@lmu.de Manfred Schwaiger, Ludwig-Maximilians-University Munich schwaiger@lmu.de Christian M. Ringle, University of Hamburg & University of Technology, Sydney, cringle@econ.uni-hamburg.de Siegfried Gudergan, University of Technology Sydney, Siggi.Gudergan@uts.edu.au Abstract Fan satisfaction is with services is a key element to successfully compete in the soccer industry. In this paper we examine the antecedent factors that explain the variations in overall service satisfaction judgements. We draw on service an activities put in place by soccer clubs to illustrate these effects. Based on a literature review, interviews with both soccer fans and an industry expert, we develop a measurement approach for satisfaction which we test subsequently using a large-scale sample among soccer fans. An analysis of the impact-performance implications of antecedent drivers shows that stadium features, team characteristics, and fan-based support for the club and its management are the most important factors that influence overall satisfaction. Keywords: customer service, satisfaction, service experience, service providers ANZMAC 2009 Page 2 of 8 Satisfaction with Services: An Impact-Performance Analysis for Soccer-Fan Satisfaction Judgements Literature review on the relevance of fan satisfaction...
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...“SCIENCE FICTION OR SCIENCE FACT” ARE WHITES INHERENTLY MORE INTELLIGENT THAN BLACKS ? ( Delroy Constantine-Simms University of Essex (UK) & Marciea Monique McMillian University of North Carolina at Chapel Hill (USA) ABSTRACT The publication of Hernstein & Murray’s (1994) “The Bell Curve” appears to be the latest expression of pseudo scientific theories with respect to race and intelligence. This paper gives an historical and ideological insight behind the development and application of intelligence tests by citing examples of their impact on legislation, social policy and intervention programmes in relation to Blacks. More importantly, a discussion of cultural bias in test design focuses on the response of Black psychologists who developed Black intelligence tests that portray whites as intellectually inferior in the same manner that Blacks are portrayed as intellectually inferior on tests devised by white psychologist. Furthermore, The hereditary perspective of intelligence is challenged by empirical evidence that centres on children with white ancestry to assess whether white genes influence intelligence while citing several sources that support the environmental explanation of the race gap in test scores. Consequently, this discussion questions the reliability and validity of intelligence tests that are used to reinforce the Black intellectual inferiority myth. The conclusive argument suggests in no uncertain terms that the Bell Curve is nothing more than the repackaging...
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...MIS 12th Edition Video Matrix ONLINE EDITION Student Instructions: 1. Go to www.azimuth-interactive.com/MIS12. 2. Enter your school .edu email address. You must have a .edu mail account. 3. Press Submit. 4. Check your email for an activation link. 5. Click on the activation link. 6. Click on the video you want to view. Chapter Videos |Part One: Organizations, | | |Management and the Networked | | |Enterprise | | |Chapter 1: Information Systems in|(1) UPS Global Operations with the DIAD IV | |Global Business Today | | | |How IT drives the UPS operation worldwide. Using smart people and smart technology, UPS delivers over 14 million | | |packages daily to 200 countries and territories, requiring the talents of 70,000 drivers who are wirelessly connected| | |to UPS main databases located...
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...HUMAN RESOURCES Conference Paper Abstracts A CHANGE RECIPIENT PERSPECTIVE ON TRAINING AND COMPETENCE DEVELOPMENT DURING ORGANIZATIONAL CHANGE Olsen, Trude Hogvold; Harstad U. College; trude.olsen@hih.no Stensaker, Inger G.; NHH Norw.Schl of Economics and Business Adm.; inger.stensaker@nhh.no As organizations change and adapt to pressures in the external and internal environment, managers and employees are required to learn new competencies and skills. Ideally, new skill requirements should be identified and developed early in the change process in order to ensure that managers and employees are ready to face their new tasks and roles when the changes are implemented. However, despite good intentions at the top management level, employees and middle managers often report uncertainty and a lack of the necessary skills required to implement change. In this paper, we report from a qualitative study of two planned organizational change initiatives in the public sector. The changes involved new work tasks and managerial roles for a group of middle managers. Although the skill requirements appeared to be clear and formal training was initiated, a number of uncertain and ambiguous issues emerged among the change recipients. We examine the types of uncertainty and ambiguity that emerged and how change recipients attempted to handle these challenges. Our findings suggest that although necessary and important, formal training procedures are not adequate for resolving competence-related...
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...Literature Review - Business Intelligence Timothy Sheahan Liberty University Business 600 Dr. Jonathan D. Schultz December 19, 2013 Abstract Business intelligence (BI) is a popular and growing field that helps managers and decision-makers in deciding important decisions. Over the past two decades advancements in technology have elevated the importance of BI systems and software to an organized corporate strategy and overall success. Reliable and accurate BI systems are used by many large corporations; they can be custom-built by a service provider or by people working for the corporation. This is because they are very expensive, cutting edge software systems. Past research has shown that BI is one of the fastest-growing methods of intelligence gathering in the field. With all of the attention of advances in information technology (IT) and how helpful they are it is easy to overlook some of their repercussions. This paper highlights the importance of BI in decision-making areas and the techniques used to make them. Advantages and benefits are then discussed and one major problem is described in detail. Computer hacking is becoming more popular as the future comes closer and it is a larger problem than most think outside of the business world. The conclusion offers an insight into the future of BI and identifies the problem of hacking as its major threat. 1. Introduction ...
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...Every company wants to get close to its customers, but wishing doesn't make it so. New research identifies four stages of customer focus and maps the organizational changes necessary to navigate from one stage to the next. The Quest for ustomer Focus by Rahjay Gulati and James B. Oldroyd For Continental Airlines, the joumey began when the company was emerging from bankruptcy and needed to know more about the profitability of its individual customers. One ofthe first things it uncovered was a service mess that was costing the airline millions of dollars every year. Continental took a systematic look at how passengers were treated when a plane was significantly delayed, when they were bumped from a flight, or during some other unfortunate event. What it found was that compensation was offered on an arbitrary basis by the gate agent, and, somehow, the lowest value customers were, on average, receiving the highest compensation. Worse, some passengers were finding ways to be doubly compensated; a customer who was bumped from a fiight might first approach a gate agent, pick up a voucher for a free fiight, and then minutes later telephone the airline and ask for HARVARD BUSINESS REVIEW M |ORE AND MORE CEOs are hoping a stronger customer focus will be the antidote to escalating commoditization pressures. But as the frustrations of myriad companies can attest, getting closer to customers is not just a matter of installing a better CRM system or of finding a more effective...
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