| Date | Venue | Duration | |
|---|---|---|---|
| 23 - 27 November 2026 | Sandton, Gauteng | 5 Days | |
| 15 - 19 February 2027 | Sandton, Gauteng | 5 Days | |
| 26 - 30 July 2027 | Sandton, Gauteng | 5 Days | |
| 04 - 08 October 2027 | Sandton, Gauteng | 5 Days | |
| 22 - 26 November 2027 | Sandton, Gauteng | 5 Days |
Please note: This is not a final registration, one of our team members will contact you shortly to finalise your registration.
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As competition intensifies, hospitality managers need more than instinct to run profitable operations. They need to read occupancy, rate, and cost data and act on it with confidence. This course builds practical revenue and operations analysis skills for people who manage hotel or lodge performance, not just finance specialists.
Using anonymised hospitality performance data and spreadsheet-based exercises, participants work through demand forecasting, dynamic pricing, channel mix, departmental profitability, and cost control. When delivered in-house, the exercises can use your own property’s data. Participants leave with a working performance-tracking dashboard and a 90-day action plan they can apply directly to their property.
This Hotel Revenue and Operations Analysis course equips you to analyse, forecast, and act on hospitality performance data to strengthen revenue, control cost, and drive property profitability. By the end of this course, you will be able to:
Our diverse instructional approaches ensure effective learning:
– Lectures & Presentations: Engage with expert-driven, stimulating content.
– Course Material: Access well-crafted supporting resources.
– Group Work: Collaborate on discussions and case studies for practical insights.
– Workshops & Role-Play: Participate in immersive, scenario-based activities.
– Practical Application: Focus on applying theoretical knowledge in real situations.
– Post-Training Support: Receive extensive support after training for skill implementation.
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Master hotel revenue and operations analysis covering revenue management, forecasting, pricing, occupancy, performance analysis, operational efficiency, and profitability.
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