culture of fashion”. 1980s fashion is obsessed with the body. We see evidences of how designers rethink the shape of women’s body in power dressing‚ the Madonna look or Azzedine Alaia’s body reveal dresses. In contrast to these loud‚ dazzling 80s norms‚ Rei Kawakubo and Yohji Yamamoto share the same point of view to propose a new geography of the body and move away from the conventional. This new geography of the body was known as the deconstructionism. In fashion‚ deconstructionism rejects customary rules
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A SUMMER TRAINING PROJECT REPORT ON “CUSTOMER SATISFACTION ON ICICI BANK” Submitted in the partial fulfillment for the award of Degree of Bachelor in Business Administration 2010-13 UNDER THE GUIDANCE : SUBMITTED BY: Ms.Sonia Arora Jacob Varghese FACULTY (Management)‚ CPJCHS Enroll.No.-10421501710 BATCH NO.- 2010-13 CHANDERPRABHU JAIN COLLEGE OF HIGHER STUDIES & SCHOOL OF LAW An ISO 9001:2008 Certified Institute
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| Chapter 1 Introduction 1.1 Background Customer Satisfaction is one of the most important issues concerning business organizations of all types‚ which is justified by the customer oriented philosophy and the main principle of continuous improvement of modern enterprises. Thus‚ customer satisfaction measurement may be considered as a most reliable feedback considering that it provides in an effective‚ direct‚ meaningful and objective way regarding the clients’ preferences and expectations
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Dissertations 2012 Three essays on the customer satisfaction-customer loyalty association Young Han Bae University of Iowa Copyright 2012 Young Han Bae This dissertation is available at Iowa Research Online: http://ir.uiowa.edu/etd/3255 Follow this and additional works at: http://ir.uiowa.edu/etd Part of theBusiness Administration‚ Management‚ and Operations Commons Recommended Citation Bae‚ Young Han. "Three essays on the customer satisfaction-customer loyalty association." dissertation‚ University
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Introduction to Data Mining Assignment 1 Ex1.1 what is data mining? (a) Is it another hype? Data mining is Knowledge extraction from data this 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. So‚ data mining definitely is not another hype it can be viewed as the result of the natural evolution of information technology. (b) Is it a simple transformation of technology developed
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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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Department of Management Information Systems Stevens Institute of Technology‚ Hoboken‚ New Jersey Customer Online Shopping System For Accessory Fulfillment Center‚ Houston‚ TX Presented By: Dhaval Patel Yunhan Chen Dan Han Guided by: Pro.Tal Ben Zvi Wesley J. Howe School of Technology Management MIS-620 August 2014 MIS620 – Final Project 2 Table of Contents: 1. Scope Definition ..........................................................................................
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Comparative Study of customer satisfaction in public sector and private sectors banks Table of Contents Acknowledgment…………………………………………………1 Executive Summary……………………………….……………...3 Introduction…………………………………………………….....4 Literature Review…………………………………………………6 Banking Industry: An Overview………………………………....12 Objective of Study……………………………………………….12 Research Methodology…………………………………………..13 Data Analysis……………………………………………………14 Findings…………………………………………………….…...16 Recommendations………………………………………………
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Data Mining Melody McIntosh Dr. Janet Durgin Information Systems for Decision Making December 8‚ 2013 Introduction Data mining‚ or knowledge discovery‚ is the computer-assisted process of digging through and analyzing enormous sets of data and then extracting the meaning of the data. Data mining tools predict behaviors and future trends‚ allowing businesses to make proactive‚ knowledge- driven decisions Although data mining is still in its infancy
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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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