Data Mining Weekly Assignment 6: LIFT; CRM; AFFINITY POSITIONING; CROSS-SELLING AND ITS ETHICAL CONCERNS. What is meant by the term “lift”? The term “lift” describes the improved performance of an exact or specific amount of effort on a modeled sampling‚ as opposed to a random sampling (Spang‚ 2010). In other words‚ if you are able to market via a model to say‚ a given number of random customers (e.g. 1000)‚ and we expect that 50 of them would be successful‚ then a model that can generate 75
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Data Mining DeMarcus Montgomery Dr. Janet Durgin CIS 500 June 9‚ 2013 Determine the benefits of data mining to the businesses when employing 1. Predictive analytics to understand the behavior of customers Predictive analytics is business intelligence technology that produces a predictive score for each customer or other organizational element. Assigning these predictive scores is the job of a predictive model‚ which has‚ in turn been trained over your data‚ learning from the experience
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Running head: COKE A Coke is a Coke ITT Tech PROBLEM Why do some of us have such strong soda preferences? There’s all this uproar of Coke vs. Pepsi‚ and really looking at the ingredients‚ the products aren’t all that different. Both are made of carbonated water‚ high fructose corn syrup‚ caramel color‚ sugar‚ phosphoric acid‚ caffeine‚ citric acid and natural flavors (Pendergrast‚ 2000‚ p.6). The natural flavors are where they differ. Coke includes a “secret ingredient” known as Merchandise
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Coke VS. Pepsi James Esposito Strayer University The Business Enterprise BUS 508 Dr. Amanda Manners June 11‚ 2011 Coke VS. Pepsi The following paragraphs will discuss the financial positions of both Coke and Pepsi. There will be a discussion on which company has the greatest ability to pay off any current liabilities the companies have and what type of financial tools can be used to determine their capability to pay such debt. The reader will also be provided the tools that anyone can
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9-706-447 REV: APRIL 16‚ 2009 DAVID B. YOFFIE Cola Wars Continue: Coke and Pepsi in 2006 For more than a century‚ Coca-Cola and Pepsi-Cola vied for “throat share” of the world’s beverage market. The most intense battles in the so-called cola wars were fought over the $66 billion carbonated soft drink (CSD) industry in the United States.1 In a “carefully waged competitive struggle” that lasted from 1975 through the mid-1990s‚ both Coke and Pepsi achieved average annual revenue growth of around
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Data Mining Project – Dogs Race Prediction Motivation Gambling is very popular in the Republic of Ireland‚ weather is online or not‚ more people are joining gambling communities formed all over the Island of Ireland. The majority of these communities are involved in horse races related gambling and other sports‚ but there is a significant amount of people dedicated to dogs races. This is a multimillion Euro industry developed on-line and live or face to face. Objective There are many websites
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The Coca Cola Company: Diversity and a Global Presence You do the Research: 1. I don’t think that Coke can stay up with changing tastes for non-cola drinks. I believe that Goizueta did have the right idea to develop new products‚ but Coke fell behind after some embarrassing problems within the company‚ such as the 1999 contamination scare‚ their slowing unit growth‚ ugly class action racial discrimination suit (which result in a $195.2 million settlement with 2000 employees)‚ and an aborted
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Strategic issue Maintain competitive focus‚ while splitting PepsiCo and creating governance for the new Pepsi Bottling Group. Internal Analysis Pepsi was invented in 1893‚ establishing a franchise bottling system of 270 bottlers by 1910. Pepsi struggled in its early years declaring bankruptcy twice. The 1970’s and early 80’s‚ Pepsi surpassed Coke for the first time. Bottling was a capital-intensive business and involved highly specialized production lines. Bottling and canning could cost between
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Chapter 1 Exercises 1. What is data mining? In your answer‚ address the following: Data mining refers to the process or method that extracts or \mines" interesting knowledge or patterns from large amounts of data. (a) Is it another hype? Data mining is not another hype. Instead‚ the need for data mining has arisen due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. Thus‚ data mining can be viewed as the result of
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Cola Wars: PepsiCo Dr. Michelle Biavatti 13 de octubre de 2009 Omar Sandoval Piña 119084 Mikel Novella Salazar 116656 Marisol Perez Chow 118631 Jorge Villanueva Almanza 121027 Gerardo Rafael Nomara Parra 119176 Índice Resumen Ejecutivo………………………………………………………………………. 3 *Identificación de la industria……………*……………………………………………… 4 Análisis Externo General………………………..……………………………………… 4 Modelo de las Cinco Fuerzas de Porter……………………………………………… 6 Ciclo de vida de la industria
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