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Verlag: Taylor and Francis Ltd, GB, 2021
ISBN 10: 0367819791 ISBN 13: 9780367819798
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In den WarenkorbPaperback. Zustand: New. This book is a refreshingly practical yet theoretically sound roadmap to leveraging data analytics and data science. The vast amount of data generated about us and our world is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organizations to leverage the information to create value in marketing.Creating Value with Data Analytics in Marketing provides a nuanced view of big data developments and data science, arguing that big data is not a revolution but an evolution of the increasing availability of data that has been observed in recent times. Building on the authors' extensive academic and practical knowledge, this book aims to provide managers and analysts with strategic directions and practical analytical solutions on how to create value from existing and new big data. The second edition of this bestselling text has been fully updated in line with developments in the field and includes a selection of new, international cases and examples, exercises, techniques and methodologies.Tying data and analytics to specific goals and processes for implementation makes this essential reading for advanced undergraduate and postgraduate students and specialists of data analytics, marketing research, marketing management and customer relationship management.Online resources include chapter-by-chapter lecture slides and data sets and corresponding R code for selected chapters.
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Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg Mai 2009, 2009
ISBN 10: 3642021433 ISBN 13: 9783642021435
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Taschenbuch. Zustand: Neu. Neuware -This book constitutes the refereed proceedings of the 21st International Conference on Advanced Information Systems Engineering, CAiSE 2009, held in Amsterdam, The Netherlands, on June 8-12, 2009. The 36 papers presented in this book together with 6 keynote papers were carefully reviewed and selected from 230 submissions. The topics covered are model driven engineering, conceptual modeling, quality and data integration, goal-oriented requirements engineering, requirements and architecture, service orientation, Web service orchestration, value-driven modeling, workflow, business process modeling, and requirements engineering.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 584 pp. Englisch.
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Zustand: New. Peter C. Verhoef is the Dean of the Faculty of Economics and Business and Professor of Marketing at the University of Groningen, the Netherlands. Edwin Kooge is a co-founder of BAYZ, a consulting agency focusing on teaching.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2009
ISBN 10: 3642021433 ISBN 13: 9783642021435
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Taschenbuch. Zustand: Neu. Advanced Information Systems Engineering | 21st International Conference, CAiSE 2009, Amsterdam, The Netherlands, June 8-12, 2009, Proceedings | Pascal Van Eck (u. a.) | Taschenbuch | xviii | Englisch | 2009 | Springer | EAN 9783642021435 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Erstausgabe
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Verlag: Taylor and Francis Ltd, GB, 2021
ISBN 10: 0367819791 ISBN 13: 9780367819798
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In den WarenkorbPaperback. Zustand: New. This book is a refreshingly practical yet theoretically sound roadmap to leveraging data analytics and data science. The vast amount of data generated about us and our world is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organizations to leverage the information to create value in marketing.Creating Value with Data Analytics in Marketing provides a nuanced view of big data developments and data science, arguing that big data is not a revolution but an evolution of the increasing availability of data that has been observed in recent times. Building on the authors' extensive academic and practical knowledge, this book aims to provide managers and analysts with strategic directions and practical analytical solutions on how to create value from existing and new big data. The second edition of this bestselling text has been fully updated in line with developments in the field and includes a selection of new, international cases and examples, exercises, techniques and methodologies.Tying data and analytics to specific goals and processes for implementation makes this essential reading for advanced undergraduate and postgraduate students and specialists of data analytics, marketing research, marketing management and customer relationship management.Online resources include chapter-by-chapter lecture slides and data sets and corresponding R code for selected chapters.
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