Segmentation, revenue management and pricing analytics / Tudor Bodea and Mark Ferguson.
Tipo de material: TextoEditor: New York, NY : Routledge, 2014Descripción: x, 255 páginas ; 25 cmTipo de contenido:- texto
- no mediado
- volumen
- 9780415898324
- 9780415898331
- 658.1554 B631s 2014
Tipo de ítem | Biblioteca actual | Colección | Signatura topográfica | Copia número | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems | |
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Libro | Biblioteca Central | Colección General | 658.1554 B631s 2014 (Navegar estantería(Abre debajo)) | Disponible | 33409002925869 | ||||
Libro | Biblioteca Central | Colección General | 658.1554 B631s 2014 (Navegar estantería(Abre debajo)) | c. 2 | Disponible | 33409003096223 |
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658.1552 W874e 2007 The executive guide to understanding and implementing quality cost programs : reduce operating expenses and increase revenue / | 658.1553 C336c 1991 Costing human resources : the financial impact of behavior in organizations / | 658.1554 B631s 2014 Segmentation, revenue management and pricing analytics / | 658.1554 B631s 2014 Segmentation, revenue management and pricing analytics / | 658.1554 P511i 2000 Investment appraisal : a managerial approach / | 658.1554 R351u 2006 The ultimate question : driving good profits and true growth / | 658.1554 S849q 1991 The quest for value : the EVA management guide / |
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´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´-- Provided by publisher.
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