Principles of Marketing Engineering and Analytics

Lilien, Gary L.; Rangaswamy, Arvind; De Bruyn, Arnaud

ISBN 10: 0985764821 / ISBN 13: 9780985764821

Published by DecisionPro, Inc., 2017

About this Item

The Covers Are Very Good Condition, No Gift Inscription, Paperback. 305 Pages. 3Rd Editionbooks are NOT signed. We will state signed at the description section. we confirm they are signed via email or stated in the description box. - Specializing in academic, collectiblle and historically significant, providing the utmost quality and customer service satisfaction. For any questions feel free to email us.

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Bibliographic Details

• Title: Principles of Marketing Engineering and Analytics
• Publisher: DecisionPro, Inc.
• Publication Date: 2017
• Language: English
• ISBN 10: 0985764821
• ISBN 13: 9780985764821
• Binding: Soft cover
• Edition: 3rd Edition.
• Condition: Very Good
• Weight: 3 ounces
• Seller catalogs:
  • Philosophy

About this title

Synopsis

The 21st century business environment demands more analysis and rigor in marketing decision making. And the business press is abuzz with the wonders of analytics. Increasingly, marketing decision making is becoming like design engineering— putting together concepts, data, analyses, and simulations to learn about the marketplace (analytics) and to design effective marketing plans (engineering). While many view traditional marketing as art and some view it as science, the new marketing increasingly looks like engineering (that is, combining art and science to solve specific problems). We offer an accessible overview of the most widely used marketing engineering and analytics concepts and tools and show how they drive the collection of the right data and information to perform the right analyses to make better marketing plans, better product designs, and better marketing decisions. We have designed this book primarily for the business school student or marketing manager, who, with minimal background and technical training, must understand and employ the basic tools and models associated with marketing engineering and analytics.The interested reader can go beyond the conceptual material in this book and learn how to apply these concepts using the software tools, cases and exercises available at www.DecisionPro.biz. That material, in concert with the descriptions here will both inform the reader and translate the concepts here into context-specific decisions and actions.