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Añadir al carritoCondición: New. pp. 286.
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 265 pages. 8.25x5.25x0.75 inches. In Stock.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
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Añadir al carritoCondición: New. 2020. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
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Añadir al carritoCondición: New. 2020. 1st Edition. Paperback. . . . . .
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2020
ISBN 10: 0367077760 ISBN 13: 9780367077761
Librería: CitiRetail, Stevenage, Reino Unido
EUR 52,46
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Añadir al carritoPaperback. Condición: new. Paperback. This book presents and develops the deep data analytics for providing the information needed for successful new product development.Deep Data Analytics for New Product Development has a simple theme: information about what customers need and want must be extracted from data to effectively guide new product decisions regarding concept development, design, pricing, and marketing. The benefits of reading this book are twofold. The first is an understanding of the stages of a new product development process from ideation through launching and tracking, each supported by information about customers. The second benefit is an understanding of the deep data analytics for extracting that information from data. These analytics, drawn from the statistics, econometrics, market research, and machine learning spaces, are developed in detail and illustrated at each stage of the process with simulated data. The stages of new product development and the supporting deep data analytics at each stage are not presented in isolation of each other, but are presented as a synergistic whole. This book is recommended reading for analysts involved in new product development. Readers with an analytical bent or who want to develop analytical expertise would also greatly benefit from reading this book, as well as students in business programs. This book presents and develops the deep data analytics for providing the information needed for successful new product development. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Librería: moluna, Greven, Alemania
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Añadir al carritoKartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Walter R. Paczkowski worked at AT&T, AT&T Bell Labs, and AT&T Labs. He founded Data Analytics Corp., a statistical consulting company, in 2001. Dr. Paczkowski is also a part-time lecturer of economics at Rutgers University.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 83,78
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents and develops the deep data analytics for providing the information needed for successful new product development.Deep Data Analytics for New Product Development has a simple theme: information about what customers need and want must be extracted from data to effectively guide new product decisions regarding concept development, design, pricing, and marketing. The benefits of reading this book are twofold. The first is an understanding of the stages of a new product development process from ideation through launching and tracking, each supported by information about customers. The second benefit is an understanding of the deep data analytics for extracting that information from data. These analytics, drawn from the statistics, econometrics, market research, and machine learning spaces, are developed in detail and illustrated at each stage of the process with simulated data. The stages of new product development and the supporting deep data analytics at each stage are not presented in isolation of each other, but are presented as a synergistic whole.This book is recommended reading for analysts involved in new product development. Readers with an analytical bent or who want to develop analytical expertise would also greatly benefit from reading this book, as well as students in business programs.