Language : English
Published : November 2015
Pages : 656
Multinational Business Finance
Praise for the Second Edition ” full of vivid and thought-provoking anecdotes…needs to be read by anyone with a serious interest in research and marketing.” Research Magazine “Shmueli et al. have done a wonderful job in presenting the field of data mining – a welcome addition to the literature.” ComputingReviews.com “Excellent choice for business analysts…The book is a perfect fit for its intended audience.” Keith McCormick, Consultant and Author of SPSS Statistics For Dummies, Third Edition and SPSS Statistics for Data Analysis and Visualization ” extremely well organized, clearly written and introduces all of the basic ideas quite well.” Robert L. Phillips, Professor of Professional Practice, Columbia Business School Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner(R), Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies. Readers will work with all of the standard data mining methods using the Microsoft(R) Office Excel(R) add-in XLMiner(R) to develop predictive models and learn how to obtain business value from Big Data. Featuring updated topical coverage on text mining, social network analysis, collaborative filtering, ensemble methods, uplift modeling and more, the Third Edition also includes: * Real-world examples to build a theoretical and practical understanding of key data mining methods * End-of-chapter exercises that help readers better understand the presented material * Data-rich case studies to illustrate various applications of data mining techniques * Completely new chapters on social network analysis and text mining * A companion site with additional data sets, instructors material that include solutions to exercises and case studies, and Microsoft PowerPoint(R) slides * Free 140-day license to use XLMiner for Education software Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner(R), Third Edition is an ideal textbook for upper-undergraduate and graduate-level courses as well as professional programs on data mining, predictive modeling, and Big Data analytics. The new edition is also a unique reference for analysts, researchers, and practitioners working with predictive analytics in the fields of business, finance, marketing, computer science, and information technology.
Business Model Generation is a handbook for visionaries, game changers, and challengers striving to defy outmoded business models and design tomorrow’s enterprises. If your organization needs to adapt to harsh new realities, but you don’t yet have a strategy that will get you out in front of your competitors, you need Business Model Generation.
Co-created by 470 “Business Model Canvas” practitioners from 45 countries, the book features a beautiful, highly visual, 4-color design that takes powerful strategic ideas and tools, and makes them easy to implement in your organization. It explains the most common Business Model patterns, based on concepts from leading business thinkers, and helps you reinterpret them for your own context. You will learn how to systematically understand, design, and implement a game-changing business model–or analyze and renovate an old one. Along the way, you’ll understand at a much deeper level your customers, distribution channels, partners, revenue streams, costs, and your core value proposition.
Business Model Generation features practical innovation techniques used today by leading consultants and companies worldwide, including 3M, Ericsson, Capgemini, Deloitte, and others. Designed for doers, it is for those ready to abandon outmoded thinking and embrace new models of value creation: for executives, consultants, entrepreneurs, and leaders of all organizations. If you’re ready to change the rules, you belong to “the business model generation!”
About the Author
Aaron Podolefsky is Provost and Vice President for Academic at the University of Northern Iowa, where he also served eight years as Dean of the College of Social and Behavioral Sciences. He received his Ph.D. in Anthropology from the State University of New York at Stony Brook and also holds degrees in Liberal Studies and Mathematics. He has authored books on law in Papua New Guinea and crime prevention in urban America. Peter J. Brown is a Professor of Anthropology at Emory University, where he also holds a faculty position in the Rollins School of Public Health. He is currently director of Emory’s Center for the Study of Health, Culture and Society. He has served as an officer in the Society for Medical Anthropology and was Editor-in-Chief of the journal Medical Anthropology for nine years. He has done research on a variety of topics, including malaria, tuberculosis, obesity, Alzheimer’s disease, male gender and health, and the history of international health policy. He has been the recipient of three teaching awards. He has co-edited The Anthropology of Infectious Disease (with Marcia Inhorn) as well as the textbooks Applying Anthropology (sixth edition) and Applying Cultural Anthropology (fifth edition) (both with Aaron Podolefsky.
Gain a strong understanding of IT project management as you learn to apply today’s most effective project management tools and techniques with the unique approach found in INFORMATION TECHNOLOGY PROJECT MANAGEMENT, 8E. This book emphasizes the latest developments and skills to help you prepare for the Project Management Professional (PMP) or Certified Associate in Project Management (CAPM) exams. While this edition reflect content from the latest the PMBOK(R) Guide, it goes well beyond the Guide to provide a meaningful context for project management. Hundreds of timely examples highlight IT projects, while quick quizzes, discussion questions, exercises, and ongoing cases reinforce your learning. Time-saving template files assist in completing tasks. Examples from familiar companies featured in today’s news, an Agile case, MindView software, and a guide to using Microsoft Project 2013 help you master IT project management skills that are marketable around the globe.
About the Author
As a professor in the Department of Business Administration at Augsburg College in Minneapolis, Dr. Kathy Schwalbe teaches courses in project management, problem solving for business, systems analysis and design, information systems projects, and strategic technology. She has also served as an adjunct faculty member at the University of Minnesota, where she taught a graduate-level course in project management in the engineering department. A frequently requested speaker and consultant, Dr. Schwalbe provides training and consulting services to numerous organizations and addresses professionals at several conferences each year.