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Principles of Marketing Engineering and Analytics by Arvind Rangaswamy, Gary L.
US $11,99
OngeveerEUR 10,77
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Bevindt zich in: Nashua, New Hampshire, Verenigde Staten
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eBay-objectnummer:266358513399
Specificaties
- Objectstaat
- ISBN
- 9780985764821
- Subject Area
- Business & Economics
- Publication Name
- Principles of Marketing Engineering and Analytics
- Publisher
- Decisionpro, Inc.
- Item Length
- 10 in
- Subject
- Marketing / General
- Publication Year
- 2017
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Height
- 1 in
- Item Width
- 7 in
- Number of Pages
- Xvi, 305 Pages
Over dit product
Product Identifiers
Publisher
Decisionpro, Inc.
ISBN-10
0985764821
ISBN-13
9780985764821
eBay Product ID (ePID)
237796430
Product Key Features
Number of Pages
Xvi, 305 Pages
Publication Name
Principles of Marketing Engineering and Analytics
Language
English
Subject
Marketing / General
Publication Year
2017
Type
Textbook
Subject Area
Business & Economics
Format
Trade Paperback
Dimensions
Item Height
1 in
Item Length
10 in
Item Width
7 in
Additional Product Features
Edition Number
3
Intended Audience
College Audience
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
658.802
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., 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.
LC Classification Number
HF5415.135.L5 2017
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