Description

Book Synopsis

This book guides the reader from the building blocks of revenue management, to pricing science and merchandising, and to broader issues of setting objectives in support of a revenue strategy.

The discipline is evolving, and that evolution has been accelerated by the COVID-19 pandemic. Leaders in hotel revenue management, and more broadly in sales & marketing, need to understand these changes, and lead and adapt accordingly. This will require a strong foundation in analytics – not just modeling, but also business analytics in support of a holistic strategy.

As more of the tactics of revenue management are executed through automation, and powered by machine learning, revenue managers will become more focused on strategy, and will need to think about revenue management in the context of marketing, loyalty, and distribution. As the strategy component of the discipline increases, so too must the breadth of knowledge of revenue managers.

Hotel Revenue Management: The Post-Pandemic

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    £21.80

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    Order before 4pm today for delivery by Sat 27 Jun 2026.

    A Paperback / softback by Dave Roberts

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      View other formats and editions of Hotel Revenue Management: The Post-Pandemic by Dave Roberts

      Publisher: Business Expert Press
      Publication Date: 30/01/2022
      ISBN13: 9781637421918, 978-1637421918
      ISBN10: 1637421915
      Also in:
      Financial accounting Management accounting and auditing Retail and wholesale industries

      Description

      Book Synopsis

      This book guides the reader from the building blocks of revenue management, to pricing science and merchandising, and to broader issues of setting objectives in support of a revenue strategy.

      The discipline is evolving, and that evolution has been accelerated by the COVID-19 pandemic. Leaders in hotel revenue management, and more broadly in sales & marketing, need to understand these changes, and lead and adapt accordingly. This will require a strong foundation in analytics – not just modeling, but also business analytics in support of a holistic strategy.

      As more of the tactics of revenue management are executed through automation, and powered by machine learning, revenue managers will become more focused on strategy, and will need to think about revenue management in the context of marketing, loyalty, and distribution. As the strategy component of the discipline increases, so too must the breadth of knowledge of revenue managers.

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