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Unit of Study HOTL6010 - Revenue and Analytics (2023)

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Unit Snapshot

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Unit description

Explores strategic revenue and yield maximisation in the hotel industry through the application of revenue and big data analytics, technology enablers, and business intelligence to drive profitability.

Unit content

This unit contains six topics:

1.Hotel revenue management essentials

2.Pricing strategy and the expanding role of revenue management

3.Predictive analytics and price optimisation

4.Distribution management

5.Revenue management technology

6.Future of revenue management

 

Availabilities

Location Domestic International
Brisbane - The Hotel School
Term2,4
Term2,4
Melbourne - The Hotel School
Term2,4
Term2,4
Sydney - The Hotel School
Term2,4
Term2,4

Learning outcomes

Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.

On completion of this unit, students should be able to:

Examine principles of strategic pricing for customer buying behaviour in the hotel industry

Evaluate revenue management systems in hotels and links to big data analytics

Identify and interpret principles of customer/segment profit contribution

Evaluate and propose appropriate revenue management practices for driving profitability in hotel industry contexts

Prescribed learning resources

Prescribed Texts
  • No prescribed texts.
Prescribed Resources/Equipment

  • An overview together with readings and resources are provided for each topic / module in this unit. See MySCU for details

Prescribed Texts
  • No prescribed texts.
Prescribed Resources/Equipment

  • An overview together with readings and resources are provided for each topic / module in this unit. See MySCU for details

Prescribed Learning Resources may change in future Teaching Periods.