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Unit of Study HOTL6010 - Revenue and Analytics (2020)

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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. Overbooking practices in revenue management
  5. Revenue management systems and big data in hotels
  6. Future of revenue management

Availabilities

Location Domestic International
Brisbane - The Hotel School
Session2,3
Session2,3
Melbourne - The Hotel School
Session2,3
Session2,3
Sydney - The Hotel School
Session2,3
Session2,3

Learning outcomes and graduate attributes

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:

GA1: Intellectual rigour, GA2: Creativity, GA3: Ethical practice, GA4: Knowledge of a discipline, GA5: Lifelong learning, GA6: Communication and social skills, GA7: Cultural competence
Learning outcome count Learning outcome description GA1 GA2 GA3 GA4 GA5 GA6 GA7
1 Examine principles of strategic pricing for customer buying behaviour in the hotel industry
2 Evaluate revenue management systems in hotels and links to big data analytics
3 Identify and interpret principles of customer/segment profit contribution
4 Evaluate and propose appropriate revenue management practices for driving profitability in hotel industry contexts

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

  1. Examine principles of strategic pricing for customer buying behaviour in the hotel industry
    • GA1:
    • GA4:
  2. Evaluate revenue management systems in hotels and links to big data analytics
    • GA2:
  3. Identify and interpret principles of customer/segment profit contribution
    • GA4:
  4. Evaluate and propose appropriate revenue management practices for driving profitability in hotel industry contexts
    • GA1:
    • GA4:

Prescribed learning resources

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