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Seller: Anybook.com, Lincoln, United Kingdom
Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9781138837973.
Seller: Studibuch, Stuttgart, Germany
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Add to basketpaperback. Condition: Gut. 338 Seiten; 9781138837973.3 Gewicht in Gramm: 1.
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Published by Taylor & Francis Group, 2021
ISBN 10: 0367819791 ISBN 13: 9780367819798
Language: English
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Published by Taylor & Francis Ltd, 2021
ISBN 10: 0367819791 ISBN 13: 9780367819798
Language: English
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Published by Taylor & Francis Ltd, London, 2021
ISBN 10: 0367819791 ISBN 13: 9780367819798
Language: English
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Paperback. Condition: new. Paperback. 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. This book is a 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 to cope with its size and complexity, and which enable organisations to leverage the information to create value in marketing. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Taylor & Francis Group, 2021
ISBN 10: 0367819791 ISBN 13: 9780367819798
Language: English
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Published by Taylor & Francis Group, 2021
ISBN 10: 0367819791 ISBN 13: 9780367819798
Language: English
Seller: Biblios, Frankfurt am main, HESSE, Germany
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Published by Routledge 2021-11-08, 2021
ISBN 10: 0367819791 ISBN 13: 9780367819798
Language: English
Seller: Chiron Media, Wallingford, United Kingdom
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Published by Taylor & Francis Ltd, 2021
ISBN 10: 0367819791 ISBN 13: 9780367819798
Language: English
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Published by Taylor & Francis Ltd, 2021
ISBN 10: 0367819791 ISBN 13: 9780367819798
Language: English
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Add to basketCondition: New. 2021. 2nd Edition. Paperback. . . . . . Books ship from the US and Ireland.
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Add to basketCondition: 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.
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 2nd edition. 314 pages. 9.50x6.75x0.75 inches. In Stock.
Published by Taylor & Francis Ltd, London, 2021
ISBN 10: 0367819791 ISBN 13: 9780367819798
Language: English
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Add to basketPaperback. Condition: new. Paperback. 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. This book is a 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 to cope with its size and complexity, and which enable organisations to leverage the information to create value in marketing. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Taylor & Francis Ltd, London, 2021
ISBN 10: 0367819791 ISBN 13: 9780367819798
Language: English
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Add to basketPaperback. Condition: new. Paperback. 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. This book is a 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 to cope with its size and complexity, and which enable organisations to leverage the information to create value in marketing. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Routledge 2021-11-08, 2021
ISBN 10: 0367819783 ISBN 13: 9780367819781
Language: English
Seller: Chiron Media, Wallingford, United Kingdom
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: Majestic Books, Hounslow, United Kingdom
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