"Citibank and data mining" Essays and Research Papers

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    Citibank Case Analysis

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    Citibank: Launching the Credit Card in Asia Pacific 45-720 Marketing Management Marc Brands Masatoshi Kaneko Oscar Lehmann Shu Yagi Juan Zatarain January 23‚ 2003 Executive Summary We recommend in the first phase to expand the credit card business into India‚ the Philippines‚ Taiwan and Thailand. These are fairly stable untapped markets. Our strategy is to focus generally on the high status groups in these markets. The cards should be issued in the local

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    1) An introduction to the background of the company‚ the product and its target audience A) The Company • Citibank Singapore Ltd  Wholly-owned subsidiary of Citigroup‚ one of the world’s largest financial services organisations.  Offer financial services including deposit accounts‚ foreign currency deposits and investments‚ credit cards‚ mortgages‚ insurance and charge cards. • Overview  Global Consumer Banking division began banking operations in Singapore in 1982.  Formidable

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    Citibank : Performance Evaluation “Performance management is about creating relationships and ensuring i l i hi d i effective communication Its about focusing on what organisations‚ managers and team members need to dt b dt succeed” - Robert Bacal Performance Management Why do even best of great strategies fail? A study of 275 professional portfolio managers reported that the ability to execute strategy was more important than the quality of the strategy itself (“Measures That Matter‚”

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    INDIAN INSTITUTE OF MANAGEMENT LUCKNOW Written Executive Communication PROJECT REPORT Citibank – Performance Evaluation Submitted to – Dr. Payal Mehra Date – 26/10/2012 Submitted By Group 8‚ Section C Anuradha Tyagi (PGP28128) Aditya Singh (PGP28158) Bholendra P.Singh (PGP28143) K. Aditya Das (PGP28139) Vishal Raju (PGP28155) Shweta J. (PGP28159) Table of Contents 1. Abstract 2 2. Brief Overview of the current situation 3 3. Strategy for Case Analysis

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    citibank case study

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    sustainability Prof. Lovas March 27‚ 2014 Citibank Case Study 1. I believe that the provisions made to the Dodd Frank Act that mandates advisory shareholder votes on executive compensation was a good change. I agree with this provision because I believe that the shareholders should ultimately have a say I’m what sort of compensation the executives of the company are taking. They are the real company owners and it’s their money that’s on the line if Citibank doesn’t succeed. In the recent recession

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    customers in the market place. Therefore it is a must for company to satisfy their customers. Customers’ satisfaction is the key to the success of any company. James McGaran is the manager in the Financial District office at Citibank; locate in the Los Angeles area. “Citibank is a niche player and pride themselves on building a profitable franchise by providing relationship banking combined with a high level of service to its customer” (Harvard Business School. 1997‚ pg. 1). Mr. McGaran is an exceptional

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    Why Data Mining can Aid HealthCare? Before talking about that why Data Mining can Aid Healthcare‚ there is a need to define that What is Data Mining‚ Why It is useful and Why it is required. What is Data Mining? Data Mining is the method of searching data from a large database. Data Mining is a technique that is used when we have a large database which is to be searched by applying some methods of searching. It is a technique that is applied when we have a concept of Data Warehouse. Data Warehouse

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    and Indonesia; Further develop Hong Kong market; Enter Korea – whenever regulations allow it. • Use different appeals/ value prepositions: in India‚ Indonesia‚ Taiwan‚ Thailand‚ Malaysia emphasize status; target upper and upper-middle class; use Citibank and Dinners database to qualify customers and minimize credit risk; create strategic alliance with high-end retailers‚ providers of luxury services; in Australia‚ Singapore‚ Hong Kong emphasize service‚ perks‚ value; use mass-marketing strategy;

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    Web Mining

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    Web Mining Data mining is the nontrivial process of identifying valid novel‚ potentially useful‚ and ultimately understandable patterns in data – Fayyad. The most commonly used techniques in data mining is artificial neural networks‚ decision trees‚ genetic algorithm‚ nearest_neighbour method‚ and rule induction. Data mining research has drawn on a number of other fields such as inductive learning‚ machine learning and statistics etc. Machine learning – is the automation of a learning process

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    Web Mining

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    WEB MINING: AN INTRODUCTORY APPROACH Lavalee Singh1 Arun Singh2 1 M.Tech (C.S.) Student IIMT Engineering College Meerut (U.P.) India lovely_198631@rediffmail.com 2Associate Professor IIMT Engineering College Meerut (U.P.) India

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