Segmentation, revenue management and pricing analytics

By: Bodea, Tudor
Contributor(s): Ferguson, Mark
Material type: TextTextPublisher: New York Routledge 2014Description: x, 255 p.ISBN: 9780415898331Subject(s): Revenue management | Pricing | Market segmentationDDC classification: 658.1554 Summary: The practices of revenue management and pricing analytics have transformed the transportation and hospitality industries, and are increasingly important in industries as diverse as retail, telecommunications, banking, health care and manufacturing. Segmentation, Revenue Management and Pricing Analytics guides students and professionals on how to identify and exploit revenue management and pricing opportunities in different business contexts. Bodea and Ferguson introduce concepts and quantitative methods for improving profit through capacity allocation and pricing. Whereas most marketing textbooks cover more traditional, qualitative methods for determining customer segments and prices, this book uses historical sales data with mathematical optimization to make those decisions. With hands-on practice and a fundamental understanding of some of the most common analytical models, readers will be able to make smarter business decisions and higher profits. This book will be a useful and enlightening read for MBA students in pricing and revenue management, marketing, and service operations. (http://www.routledge.com/books/details/9780415898331/)
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Books Vikram Sarabhai Library
Slot 1906 (2 Floor, East Wing) Non-fiction 658.1554 B6S3 (Browse shelf) Available 188518

The practices of revenue management and pricing analytics have transformed the transportation and hospitality industries, and are increasingly important in industries as diverse as retail, telecommunications, banking, health care and manufacturing. Segmentation, Revenue Management and Pricing Analytics guides students and professionals on how to identify and exploit revenue management and pricing opportunities in different business contexts.
Bodea and Ferguson introduce concepts and quantitative methods for improving profit through capacity allocation and pricing. Whereas most marketing textbooks cover more traditional, qualitative methods for determining customer segments and prices, this book uses historical sales data with mathematical optimization to make those decisions. With hands-on practice and a fundamental understanding of some of the most common analytical models, readers will be able to make smarter business decisions and higher profits.
This book will be a useful and enlightening read for MBA students in pricing and revenue management, marketing, and service operations.
(http://www.routledge.com/books/details/9780415898331/)

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