...organization’s data with emphasis on statistical analysis. It describes the skills, technologies, practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics is used by companies committed to data-driven decision making. It focuses on developing new insights and understanding of business performance based on data and statistical methods. BA is used to gain insights that inform business decisions and can be used to automate and optimize business processes. Business analytics makes extensive use of statistical analysis, including explanatory and predictive modeling, and fact-based management to drive decision making. It is therefore closely related to management science. Analytics may be used as input for human decisions or may drive fully automated decisions. Data-driven companies treat their data as a corporate asset and leverage it for competitive advantage. Successful business analytics depends on data quality, skilled analysts who understand the technologies and the business and an organizational commitment to data-driven decision making. Once the business goal of the analysis is determined, an analysis methodology is selected and data is acquired to support the analysis. Data acquisition often involves extraction from one or more business systems, cleansing, and integration into a single repository such as a data warehouse or data mart. The analysis is typically performed against...
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...BI Norwegian School of Management – Thesis Master of Science in Innovation and Entrepreneurship GRA 19002 Convergence, Complementarity or Disruption: Enterprise Search and Business Intelligence By Vedrana Jez Hand-in date: 01.09.2009 Supervisor: Dr. Espen Andersen This thesis is a part of the MSc programme at BI Norwegian School of Management. The school takes no responsibility for the methods used, results found and conclusions drawn. Acknowledgments I would like to thank my supervisor, Dr. Espen Andersen, for his support and guidance throughout the project. I am also grateful to all participants in this research for their contribution and time. Finally, I thank my family for their understanding, encouragement and patience. Thesis 01.09.2009 Content Content ..................................................................................................................... i Abstract .................................................................................................................. iv Introduction ............................................................................................................ 1 Research Methodology ........................................................................................... 2 Research Question .........................................................................................................2 Method Used ..................................................................
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...Masarykova univerzita Ekonomicko-správní fakulta Studijní obor: Podnikové hospodářství MARKETING RESEARCH Diplomová práca Vedoucí diplomové práce: Ing. Klára KAŠPAROVÁ Autor: Eva PEŠLOVÁ Brno, duben 2007 Masarykova univerzita Ekonomicko-správní fakulta Katedra podnikového hospodářství Akademický rok 2006/2007 ZADÁNÍ DIPLOMOVÉ PRÁCE Pro: Obor: P E Š L O V Á Eva Podnikové hospodářství Název tématu: Marketingový výzkum Marketing research Zásady pro vypracování Problémová oblast: Marketingový výzkum. Cíl práce: Analýza trhu, popř. trhů pro uvedení produktu na trh. Postup práce: V teoretické části se bude autorka věnovat problematice výzkumu trhu a jeho jednotlivým metodám a technikám relevantním pro tento typ výzkumu. V praktické části bude analyzovat zvolený trh, popř. zvolené trhy, formuluje doporučení pro tvorbu daného produktu a provede ekonomické vyhodnocení jeho zavedení. Použité metody: Analýza sekundárních dat, dedukce, deskripce, komparace, relevantní matematicko-statistické metody. Rozsah grafických prací: Rozsah práce bez příloh: předpoklad cca 15 tabulek a grafů 60 – 70 stran Seznam odborné literatury: BOLDIŠ, P. Bibliografické citace dokumentu podle ČSN ISO 690 a ČSN ISO 690-2 (01 0197): Část 1 – Citace: metodika a obecná pravidla. Verze 3.2 [online]. 1999–2002. Poslední aktualizace 2002-09-03. Dostupné na World Wide Web: HENDL, J. Kvalitativní výzkum – základní metody a aplikace. 1. vyd. Praha : Portál, 2005. 408...
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...Outline INTRODUCTION ........................................................................................................................................... 2 I. DATA BASES............................................................................................................................................... 2 I.1. Definitions ............................................................................................................................................................... 2 I.2. Major Methods and DBMS...................................................................................................................................... 3 I.3. Information-related issues........................................................................................................................................ 4 II. COLLABORATION TOOLS (GROUPWARE) ..................................................................................... 4 II.1. Introduction & Definition ....................................................................................................................................... 4 II.2. Electronic Document Management (EDM) ............................................................................................................ 5 II.3. Process Management (Workflow) .......................................................................................................................... 6 II.4. Electronic Data Interchange (E.D.I...
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...IMPORTANCE OF QUANTITATIVE TECHNIQUES IN MANAGERIAL DECISIONS *P.Murugesan Abstract The term ‘Quantitative techniques’ refers to the methods used to quantify the variables in any discipline. It means the application of subjects like mathematics and statistics, econometrics and operations research to understand and solve problems.. It is a study of the application of differential calculus, integral calculus and matrix algebra, measures of central tendencies, measures of averages, correlation and regression etc. It also includes the application of the techniques of management science such as Linear programming, Game theory, CPM and PERT analyses to business problems. The relevance and usefulness of Quantitative Techniques in seven functional areas of Management are discussed in this paper. Introduction: Truly, the importance of Quantitative proficiency cannot be over emphasized to Management Professionals! This body of knowledge involving quantitative approaches has been given various names likeBusiness Mathematics, Business Statistics, Operations Research, Decision Science and Management Science. All are concerned with rational approaches to decision making based on the scientific method. For example, consider the following simple mathematical problem: A) “A Mayor of a town wants to improve the bus services between 2 destinations falling within his district. The destinations are 1 hour journey apart and he wants the bus services in such a way that a traveler need not wait for more...
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...Page |1 ABOUT US Bdjobs Training has been the biggest professional training house in the country. The tracks of its training programs include Marketing/Sales, IT , Commercial, Finance, Quality & Process, Industrial Engineering, RMG, Banking, HR, Development/NGO, Management Development and so forth. Since its inception, Bdjobs Training has been mentoring the professionals by providing latest industry focused education. BT, in this expedition, engages hundreds of industry experts to ensure quality education to the young entrepreneurs and professionals of the country. BT offers both short (1 or 2 days) and long courses in the form of workshop and certificate training. Also BT offers customized in-house training programs exclusively designed for a group of employees. Customized courses can be provided either at our training facilities or on-site at clients’ location. Our training programs are lively, interactive, and include role-playing and demonstrations of real-life workplace issues and solutions. bdjobstraining.com Page |2 bdjobstraining.com Page |3 TRAINING TRACKS Marketing/ Sales Track • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • 1111 Selling Techniques for Excellence 13 Lessons to turn every Company into Fantastic Brands Advance Selling Techniques Art of Pharmaceutical Sales Brand Management–Walking the Talk Branding for Bangladeshi Business Constructive & Modern Leadership Approach in Selling through Team...
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...Reading Sr No OR-1 OR-2 OR-3 OR-4 OR-5 OR-6 OR-7 OR-8 OR-9 OR-10 OR-11 OR-12 Journals articles as Compulsary reading (specific articles, complete reference) The four things that a service Business must get right HBR Article , Bang & Olufsen Design Driven Innovation : HBR , Smart Product Design : HBR , Mishina, Kazuhiro. Toyota Motor Manufacturing, U.S.A., Inc. HBS Case No. 9-693-019. Harvard Business School Publishing, Boston, 1995. , Hammond, Janice H. Barilla SpA (A). HBS Case No. 9-694-046. Harvard Business School Publishing, Boston, 1994. , Latour, Almar. Nokia Handles Supply Shock with Aplomb as Ericsson of Sweden Gets Burned. The Wall Street Journal. Dow Jones & Company, Inc., 2001. , National Cranberry Cooperative HBS #688122. From Case Map , John Crane UK Ltd Case : The CAD CAM Link . HBS #691021,24p , To Move or not to Move .Case of Cathay Pacific Airways . University of Hong Kong HBS #HKU003,22p , Note on Quality: The Views of Deming, Juran, and Crosby HBS .687011 , Process Control at Polaroid , HBS, #693047 , LL Bean Item Forecasting and Inventory Management HBS, #893003, 5p , Johson Control Automotive Systems , HBS,#69308623p , Title Operations Management Concepts, Techniques & Applications Operations Management Author Evans & Collier Edition 1st Year Publisher Name Cengage Learning Tata McGraw Hill Author Norman Gaither,Greg Frazier Edition 9th Year Publisher Name Cengage Learning William Stevenson Taylor 8th Relevant Websites Sr No RW-1 RW-2 (Web address) (only...
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...Stodder , D . ( 2012 ) . Customer analytics in the age of social media : TDWI best practices report Cary : SAS Institute . (039032) T DW I R E S E A R C H T DW I BE S T P R AC T ICE S RE P O R T THIRD QUARTER 2012 CUSTOMER ANALYTICS IN THE AGE OF SOCIAL MEDIA By David Stodder CO-SPONSORED BY tdwi.org Third QUArTEr 2012 TDWI besT pracTIces reporT CuSToMEr A n A ly T IC S In T HE AGE of SoCI A l MEdI A By David Stodder Table of Contents Executive Summary Research Methodology and Demographics 3 4 5 Customer Analytics and the Social Media Frontier Stepping into the Age of Social Media . . . . . . . . . . . . . . . . . .6 The Importance of Customer Analytics . . . . . . . . . . . . . . . . . .7 Benefits and Barriers to Implementation 10 Business Benefits Sought from Customer Analytics . . . . . . . . . . 10 Barriers to Adoption of Customer Analytics . . . . . . . . . . . . . . 12 role of Analytics in Increasing Marketing roI . . . . . . . . . . . . . 13 Analytics Tools, Data Sources, and Techniques 17 BI, olAP, and data discovery for Customer Analytics . . . . . . . . . 18 In-Memory Computing for More rapid discovery Analysis . . . . . . . 20 Predictive Analytics, data Mining, and Advanced Statistics Implementation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 filling the role of the data Scientist...
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...SYLLABUS - 2013-14 1 Code MB 13101 MB 13102 MB 13103 MB 13104 MB 13105 MB 13106 SRM University MBA - Revised Curriculum - 2013-14 Semester –I Thinking and Communication Skills (Practical) Accounting for Decision Making Philosophy for Management Economics for Managers Managerial Statistics Managerial Skills (Practical) Semester-II Financial Management Management Information System Marketing Human Resource Management Production And Operation Management Legal Aspects of Business Semester- III Summer Internship (8 weeks)(Practical) Entrepreneurship Strategic Management Business Analytics (Practical) Elective-1 Elective-2 Elective-3 Elective-4 Semester- IV Elective-5 Elective-6 Industrial Elective (Practical) Total Credit L 0 2 3 2 2 0 T 0 4 0 2 4 0 P 4 0 0 0 0 6 C 2 4 3 3 4 3 19 4 3 4 2 4 3 20 2 3 3 2 3 3 3 3 22 3 3 5 11 72 MB 13207 MB 13208 MB 13209 MB 13210 MB 13211 MB 13212 MB 13313 MB 13314 MB 13315 MB 13316 2 2 3 2 3 2 0 2 2 0 2 2 2 2 2 2 0 4 2 2 0 2 2 0 2 2 0 2 2 2 2 2 2 0 0 0 0 0 0 0 4 0 0 4 0 0 0 0 0 0 10 MB 13417 Functional Electives Marketing Finance Systems Human Resource Operations Vertical Electives Pharma Hospitality Enterprise Resource Planning Agriculture Hospital and Health Care Retailing Auto Industry Project Management Media and Communication Banking Financial Service Insurance 2 MB 13FM01 MB 13FM02 MB 13FM03 MB 13FM04 MB 13FM05 MB 13FM06 MB 13FM07 MB 13FM08 MB 13FM09 MB 13FM10 MB 13FM11 MB 13FM12 MB 13FM13 MB...
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...Chapter 12 Enhancing Decision Making LEARNING OBJECTIVES After reading this chapter, you will be able to answer the following questions: 1. What are the different types of decisions and how does the decision-making process work? 2. How do information systems support the activities of managers and management decision making? 3. How do decision-support systems (DSS) differ from MIS and how do they provide value to the business? 4. How do executive support systems (ESS) help senior managers make better decisions? 5. What is the role of information systems in helping people working in a group make decisions more efficiently? CHAPTER OUTLINE 12.1 DECISION MAKING AND INFORMATION SYSTEMS Business Value of Improved Decision Making Types of Decisions The Decision-Making Process Managers and Decision Making in the Real World 12.2 SYSTEMS FOR DECISION SUPPORT Management Information Systems (MIS) Decision-Support Systems (DSS) Data Visualization and Geographic Information Systems Web-Based Customer Decision-Support Systems Group Decision-Support Systems (GDSS) 12.3 EXECUTIVE SUPPORT SYSTEMS (ESS) AND THE BALANCED SCORECARD FRAMEWORK The Role of Executive Support Systems in the Firm Business Value of Executive Support Systems 12.4 HANDS-ON MIS PROJECTS Management Decision Problems Improving Decision Making: Using Pivot Tables to Analyze Sales Data Improving Decision Making: Using a Web-Based DSS for Retirement Planning LEARNING TRACK MODULE Building and Using Pivot Tables Interactive...
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...CONTENTS: CASE STUDIES CASE STUDY 1 Midsouth Chamber of Commerce (A): The Role of the Operating Manager in Information Systems CASE STUDY I-1 IMT Custom Machine Company, Inc.: Selection of an Information Technology Platform CASE STUDY I-2 VoIP2.biz, Inc.: Deciding on the Next Steps for a VoIP Supplier CASE STUDY I-3 The VoIP Adoption at Butler University CASE STUDY I-4 Supporting Mobile Health Clinics: The Children’s Health Fund of New York City CASE STUDY I-5 Data Governance at InsuraCorp CASE STUDY I-6 H.H. Gregg’s Appliances, Inc.: Deciding on a New Information Technology Platform CASE STUDY I-7 Midsouth Chamber of Commerce (B): Cleaning Up an Information Systems Debacle CASE STUDY II-1 Vendor-Managed Inventory at NIBCO CASE STUDY II-2 Real-Time Business Intelligence at Continental Airlines CASE STUDY II-3 Norfolk Southern Railway: The Business Intelligence Journey CASE STUDY II-4 Mining Data to Increase State Tax Revenues in California CASE STUDY II-5 The Cliptomania™ Web Store: An E-Tailing Start-up Survival Story CASE STUDY II-6 Rock Island Chocolate Company, Inc.: Building a Social Networking Strategy CASE STUDY III-1 Managing a Systems Development Project at Consumer and Industrial Products, Inc. CASE STUDY III-2 A Make-or-Buy Decision at Baxter Manufacturing Company CASE STUDY III-3 ERP Purchase Decision at Benton Manufacturing Company, Inc. CASE STUDY III-4 The...
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...CASE STUDIES IN PERFORMANCE MANAGEMENT A Guide from the Experts TONY ADKINS John Wiley & Sons, Inc. CASE STUDIES IN PERFORMANCE MANAGEMENT CASE STUDIES IN PERFORMANCE MANAGEMENT A Guide from the Experts TONY ADKINS John Wiley & Sons, Inc. This book is printed on acid-free paper. Copyright © 2006 by SAS Institute. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Published by John Wiley & Sons, Inc., Hoboken, New Jersey. Published simultaneously in Canada. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, 978-750-8400, fax 978-646-8600, or on the web at www.copyright.com. Requests to the publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, 201-748-6011, fax 201-748-6008, or online at http://www.wiley.com/go/permissions...
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...TABLE OF CONTENTS I. INTRODUCTION 1 II. HISTORY OF CRM MARKET 3 Major Vendors 5 Current Offerings 6 III. DEFINITIONS OF CRM 6 IV. DRIVERS FOR CRM APPLICATIONS 9 Reasons for Adopting CRM: The Business Drivers 9 Cost Goals 10 V. THE CRM INDUSTRY 11 Size of the CRM Industry 12 Vendors 13 Technology and Service 15 VI. INFORMATION TECHNOLOGIES FOR CRM 20 Key CRM Tasks 20 IT Factors of CRM Tasks 22 VII. CONSULTANTS 23 VIII. RETURN ON INVESTMENT OF IMPLEMENTATION 24 Cost and time 24 Benefits 25 ROI of CRM Projects 27 IX. PRINCIPLES OF CRM 27 X. CRM ISSUES 28 Customer Privacy 28 Technical Immaturity 30 XI. CASE STUDIES 31 Amazon.Com 31 Dell 32 Volkswagen 33 Wells Fargo 34 XII. CONCLUSIONS 36 REFERENCES 37 APPENDIX A BASIC ASSUMPTIONS OF CRM 40 APPENDIX B COMMON MYTHS OF CRM 41 APPENDIX C LIFETIME VALUE OF A CUSTOMER 44 C1. Simple Approach 45 C2. More Sophisticated Calculation 46 C3. Effect of Loyalty Programs 47 C4. Additional Factors to Consider 49 C5. The Arithmetic of Lifetime Value 49 C6. Example: Applying Lifetime Value Concepts in Banking 51 C7. Summary and Conclusions on Lifetime Value 53 APPENDIX D VENDOR’S WEB SITE ADDRESSES 55 2 Version 3-6 March 23, 2001 CUSTOMER RELATIONSHIP MANAGEMENT Paul Gray Jongbok Byun I. INTRODUCTION Over a century ago, in small-town America, before the advent of the supermarket, the mall, and the automobile, people went to their neighborhood general store to purchase goods. The proprietor and the...
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...Supply Chain Management and Advanced Planning Hartmut Stadtler ´ Christoph Kilger (Eds.) Supply Chain Management and Advanced Planning Concepts, Models, Software and Case Studies Third Edition With 173 Figures and 56 Tables 12 Professor Dr. Hartmut Stadtler FG Produktion und Supply Chain Management FB Rechts- und Wirtschaftswissenschaften TU Darmstadt Hochschulstraûe 1 64289 Darmstadt Germany stadtler@bwl.tu-darmstadt.de Dr. Christoph Kilger j&m Management Consulting AG Kaiserringforum Willy-Brandt-Platz 5 68161 Mannheim Germany christoph.kilger@jnm.de Cataloging-in-Publication Data Library of Congress Control Number: 2004110194 ISBN 3-540-22065-8 Springer Berlin Heidelberg New York ISBN 3-540-43450-X 2nd edition Springer Berlin Heidelberg New York This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer-Verlag. Violations are liable for prosecution under the German Copyright Law. Springer is a part of Springer Science+Business Media springeronline.com ° Springer Berlin ´ Heidelberg 2000, 2002, 2005 Printed...
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...CULTURE Culture is the shared beliefs, values, attitudes, institutions, and behavior patterns that characterize the members of a community or organization. In a healthy business culture, what's good for the company and for customers comes together and becomes the driving force behind what everyone does. LITERATURE REVIEW This analysis of quality culture is an evolving exploration. At the 2007 EAIR Forum in Innsbruck Bjorn Stensaker and Lee Harvey explored the issue of quality culture (Harvey and Stensaker, 2008). They suggested, following Williams (1983) that quality culture is a complex concept. They explored the numerous definitions of culture and how its meaning changed over time, not least from an élite notion of ‘high culture’ through to a more democratic view of multiple cultures and subcultures. They suggested that, at core, culture is shared, learned and symbolic. In short, culture is a way of life. When applied to organizations, Harvey and Stensaker noted the view that culture is perceived as either something an organization has (a potentially identifiable and manipulative factor) or something that an organization is (an integrated product of social interaction and organizational life that is impossible to differentiate from other factors) (Alvesson& Berg, 1992). What is...
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