"Cola wars continue coke and pepsi in 2006 case study solution for data mining" Essays and Research Papers

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    Data Mining

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    Data Mining On Medical Domain Smita Malik‚ Karishma Naik‚ Archa Ghodge‚ Shivani Gaunker Shree Rayeshwar Institute of Engineering & Information Technology Shiroda‚ Goa‚ India. Smilemalik777@gmail.com; naikkarishma39@gmail.com; archaghodge@gmail.com; shivanigaunker@gmail.com Abstract-The successful application of data mining in highly visible fields like retail‚ marketing & e-business have led to the popularity of its use in knowledge discovery in databases (KDD) in other industries

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    Case Study of Pepsi

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    PepsiCo‚ Inc. is one of the most successful consumer products companies in the world‚ with 2000 revenues of over $20 billion and 125‚000 employees. The company consists of: Frito-Lay Company‚ the largest manufacturer and distributor of snack chips; Pepsi-Cola Company‚ the second largest soft drink business and Tropicana Products‚ the largest marketer and producer of branded juice. PepsiCo brands are among the best known and most respected in the world and are available in about 190 countries and territories

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    data mining

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    Components of DSS (Decision Support System) Data Store – The DSS Database Data Extraction and Filtering End-User Query Tool End User Presentation Tools Operational Stored in Normalized Relational Database Support transactions that represent daily operations (Not Query Friendly) Differences with DSS 3 Main Differences Time Span Granularity Dimensionality Operational DSS Time span Real time Historic Current transaction Short time frame Long time frame Specific Data facts Patterns Granularity Specific

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    Data mining

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    University CS 450 Data Mining‚ Fall 2014 Take-Home Test N#1 Date: September 22nd‚ 2014 Final deadline for submission September 29th‚ 2014 Weighting: 5% Total number of points: 100 Instructions: 1. Attempt all questions. 2. This is an individual test. No collaboration is permitted for assessment items. All submitted materials must be a result of your own work. Part I Question 1 [20 points] Discuss whether or not each of the following activities is a data mining task. •

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    Data Mining

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    a necessity for a businesses trying to maximize its profits. A new‚ and important‚ tool in gaining this knowledge is Data Mining. Data Mining is a set of automated procedures used to find previously unknown patterns and relationships in data. These patterns and relationships‚ once extracted‚ can be used to make valid predictions about the behavior of the customer. Data Mining is generally used for four main tasks: (1) to improve the process of making new customers and retaining customers; (2)

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    Cola Wars

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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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    Cola Wars Study

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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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    Data Mining

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    Data Mining Information Systems for Decision Making 10 December 2013 Abstract Data mining the next big thing in technology‚ if used properly it can give businesses the advance knowledge of when they are going to lose customers or make them happy. There are many benefits of data mining and it can be accomplished in different ways. The problem with data mining is that it is only as reliable as the data going in and the way it is handled. There are also privacy concerns with data mining

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    Data Mining

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    Data Mining: What is Data Mining? Overview Generally‚ data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue‚ cuts costs‚ or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles‚ categorize it‚ and summarize the relationships identified

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    Data Mining

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    Data Mining Abdullah Alshawdhabi Coleman University Simply stated data mining refers to extracting or mining knowledge from large amounts of it. The term is actually a misnomer. Remember that the mining of gold from rocks or sand is referred to as gold mining rather than rock or sand mining. Thus‚ data mining should have been more appropriately named “knowledge mining from data‚” which is unfortunately somewhat long. Knowledge mining‚ a shorter term‚ may not

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