BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Deep Data Analytics for New Product Development

Deep Data Analytics for New Product Development

Deep Data Analytics for New Product Development
Stock photo: cover may vary

Deep Data Analytics for New Product Development Paperback - 2020

by Paczkowski, Walter R

Add to wish list
  • New
  • Paperback
New

Description

Routledge, 2020. Paperback. New. 265 pages. 8.25x5.25x0.75 inches.
Ask the seller a question Add to wish list
A$134.08
A$28.66 Delivery to USA
Standard delivery: 7 to 14 days
More delivery options
Ships from Revaluation Books (Devon, United Kingdom)
The BIBLIO Guarantee

Details

  • Title Deep Data Analytics for New Product Development
  • Author Paczkowski, Walter R
  • Binding Paperback
  • Condition New
  • Pages 286
  • Volumes 1
  • Language ENG
  • Publisher Routledge
  • Publication date 2020
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # x-0367077760
  • 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 2

About Revaluation Books Devon, United Kingdom

Biblio member since 2020

General bookseller of both fiction and non-fiction.

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Revaluation Books

Reader reviews for Deep Data Analytics for New Product Development

Write a review for this book

There are no reviews for this book yet. Be the first to write a review!

Your review will be anonymous unless you login or create an account first.

Overall rating
Remember: You’re rating the book as a work, not the seller or the condition of the specific copy you purchased!

Important Terms and Guidelines

  • Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
  • Reviews must be at least 140 characters in length.
  • Please do not reveal critical plot elements.
  • This is not a help line. Contact customer support if you need help.
Your review must not include:
  • Obscenities, discriminatory language, or other insulting language not suitable for public domain
  • Advertisements, “spam” content, or references to other products, offers or websites.
  • Email addresses, URLs, phone numbers, physical addresses or other contact information.
  • Overly critical comments about other reviews or reviewers
  • Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
  • Availability, price, or alternative ordering/shipping information

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.

Please wait a moment while we load the requested page.

tracking-