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Deep Data Analytics for New Product Development

Deep Data Analytics for New Product Development

Deep Data Analytics for New Product Development Paperback / softback - 2020

by Walter R. Paczkowski

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Details

  • Title Deep Data Analytics for New Product Development
  • Author Walter R. Paczkowski
  • Binding Paperback
  • Condition New
  • Pages 286
  • Volumes 1
  • Language ENG
  • Publisher Routledge
  • Publication date 2020-02-26
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # B9780367077761
  • ISBN 9780367077761 / 0367077760
  • Weight 0.9 lbs (0.41 kg)
  • Dimensions 9.1 x 6.1 x 0.8 in (23.11 x 15.49 x 2.03 cm)
  • Category Small Business/Entrepreneurship
  • Library of Congress subjects New products - Management, Quantitative research
  • Library of Congress Catalogue Number 2019046905
  • Dewey Decimal Code 658.575
  • Quantity available 1

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From the publisher

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.

About the author

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.

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