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    Customer Satisfaction

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    An Overview of Customer Satisfaction Models Willard Hom‚ M.B.A. Interim Director of Research Policy‚ Planning & External Affairs Division Chancellor’s Office‚ California Community Colleges Abstract The concept of customer satisfaction has attracted much attention in recent years. Organizations that try to analyze this concept should begin with an understanding of various customer satisfaction models. Such models clarify various theories about customer satisfaction‚ making research and analysis

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    Analysis of Data

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    Analysis of Data The researcher distributed 150 questionnaires to people and students from different schools. After collecting the papers‚ each was tallied one by one. The questionnaire has a total of Seven(7) questions each with a different set and amount of answers. One hundred(100) questionnaires were distributed in person while the Fifty(50) were answered online. The results of the survey will be explained by percentage and shown through pie chart as well along with a slight conclusion for

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    Someone who inspires me

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    people in our lives that can be the heroes in many ways‚ but my life’s hero will always be my mom. She influences my life since I born until now and also sacrifice a lot in her lifetime to make my life and my sibling’s lives better. She love us unconditionally‚ I have become the person I am today because of her. I adore her very much‚ not just because she is my mom‚ also such an amazing person with a gold heart‚ my best friend for life‚ an advisor‚ kind‚ respectful and strong person. I am not her

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    Big Data

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    Big DataData Mining and Business Intelligence Techniques 2 What is Data? • Data is information in a form suitable for use with a computer. • There are two types of data ▫ Structured ▫ Unstructured • The total volume of data is growing 59% every year. • The number of files grow at 88% every year. 3 What is Big Data? Exa Analytics on Big Data at Rest Up to 10‚000 Times larger Peta Data Scale Giga Data at Rest Tera Data Scale Mega Traditional Data Warehouse

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    Customer Behavior

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    Threats (SWOT) Analysis of Mccafe 10 Research Topic -Customer attitude towards McCafe 11 Problems from Research Finding 11 McCafe image issue 11 Too many inertia consumers 11 Customer Profile 12 Individual Consumer 12 Need Analysis for Mccafe’s Customer 12 Utilitarian needs VS Hedonic needs 13 Environmental influence in Decision Making 17 Recommendation 20 Objective 20 Marketing Positioning 21 Targeting Customer 22 Marketing Mix Strategies 23 Price 23

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    Negotiation and Customer

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    his last name and place of employment not be disclosed. Edward’s official job title is pre-owned sales representative and he defined his job as selling used vehicles while achieving and maintaining appropriate levels of gross profit‚ volume‚ and customer satisfaction. As a veteran in the auto industry for twenty-three years‚ he holds a lot of negotiation experience. Edward feels that although official training is always provided‚ he has mostly learned from experience. (personal communication‚ October

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    Big DATA

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    4V of Big Data? Imagine all the information you alone generate each time you swipe your credit card‚ post to social media‚ drive your car‚ leave a voicemail‚ or visit a doctor. Now try to imagine your data combined with the data of all humans‚ corporations‚ and organizations in the world! From healthcare to social media‚ from business to the auto industry‚ humans are now creating more data than ever before. volume‚ velocity‚ variety‚ and veracity. Volume: Scale of Data Big data is big. It’s

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    Customer Service

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    Can you provide a brief description of this organisation? (Please note you will not be marked on this; it is simply to provide your tutor with a brief outline.) Section 1 – Understand the factors that affect an organisation and the customer service role 1. Complete the table below with a description of the products and services for at least two commercial organisations‚ public organisations and third sector organisations. Please ensure you provide a description for each organisation

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    Data Structures

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    Data Structures and Algorithms DSA Annotated Reference with Examples Granville Barne Luca Del Tongo Data Structures and Algorithms: Annotated Reference with Examples First Edition Copyright c Granville Barnett‚ and Luca Del Tongo 2008. This book is made exclusively available from DotNetSlackers (http://dotnetslackers.com/) the place for .NET articles‚ and news from some of the leading minds in the software industry. Contents 1 Introduction 1.1 What this book is‚ and what

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    Data Communications

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    and cross talk on a cabling medium are factors that prevent the accuracy of transmitted data to be intact. For these reasons different encoding methods exist. An example is when 2 wires are used to transmit music data to a speaker Digital signals don’t always have to be carried over to the receiving end by electricity‚ light can also be used for digital communication. Fibre Optics use light to transmit data through optical fibre within the cable. The strength of the light ray can also be a determining

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