Hostalion - Hospitality Business  Management School - Courses - MASTERCLASS - Hotel Revenue Data Science

Hotel Revenue Data Science

Modality
WEBINAR
Location
ZOOM
Duration
10 hours
Registration
until 14/10/2020
Price
150€

Hotel Revenue Data Science

Welcome to the era of Hotel Revenue Science!

Empower yourself with the practical skills you need to become a Rooms Pricing Master.
You will learn how to build pricing models with the greatest revenue potential.
This training allows you to challenge its pricing assumptions.
You will be able to build pricing models that surpass the sophistication of any pricing model on the market today.
You will learn to challenge biases and assumptions using data-driven arguments.

WEBINAR

Most RM courses teach the WHAT. 
This course teaches the HOW!

How Does This Course Compare to Other RM Courses?
1. The Hotel Revenue Management profession has matured. Rate distribution tactics alone are no longer adding the value to the bottom line that they once did. The hotel industry now expects more intelligent analysis, unique strategies, and confident guidance from those managers responsible for rate setting.
2. This course focuses exclusively on the data and analytical aspects of RM. Complex concepts are explained in an easy-to understand, incredibly digestible format using a combination of manual, visual, mathematical, and algorithmic methods.
3. The course delivers actionable tools and techniques that can be applied immediately to craft innovative strategies, increase revenue, and boost profits at any property. While we cover very advanced topics, they are taught in a simple, yet dynamic, journey through a proprietary case-study that is developed from real PMS data. You learn how to transform that data into profitable decisions.
4. This course is specifically designed to deliver the practical knowledge that will launch you into the next level of your professional career.

LECTURER : Cesar Waelivaara

CONTENTS


1. Core Probability & Statistics concepts
Probability
Standard deviation
Normal Probability distribution
Normal Inverse distribution

2. Mathematical Revenue Optimization
Decision models
Littlewood’s rule Math solution
Protection and booking limits
EMSR - Expected Marginal Seat Revenue
Dynamic pricing  Math solutions
Optimal Rate calculation
The Rate formula
Math Exercise modules 1 and 2.

3. Excel for hotel data Analysis
Importing raw Data
Statistical functions in excel
4. Building your own model in excel

PARTICIPANTS PROFILE:
General Manager 
Deputy Manager 
Front office Manager
Revenue Manager 
Asset Manager 
RM Professor/ Analysts 
Finance & Accounting 
Group Sales Manager 
RM Consultants 
Sales Marketing Directors

You will Learn:
- What PMS data should I be analyzing.
- How do I predict occupancy for any day.
- What are the chances that the hotel will sell out.
- What days of the year should I analyze together.
- What is the value of a smart rate decision.
- What pickup is likely to happen most of the time.

General Manager 

Deputy Manager 

Front office Manager
Revenue Manager 

Asset Manager 
RM Professor /Analysts 

Finance & Accounting 

Group Sales Manager 

RM Consultants 

Sales Marketing Directors

If you have any question, please call: +4 0731 552 532 or drop us an email at: cw@hostalion.com.

Course registration

Hotel Revenue Data Science









150 €
0
150

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Our clients come from some of the most popular hotel chains in the world: 

Our students come from the most popular hotel chains
Our students come from the most popular hotel chains
Our students come from the most popular hotel chains
Our students come from the most popular hotel chains
Our students come from the most popular hotel chains
Our students come from the most popular hotel chains
Our students come from the most popular hotel chains
Our students come from the most popular hotel chains
Our students come from the most popular hotel chains
Our students come from the most popular hotel chains
Our students come from the most popular hotel chains
Our students come from the most popular hotel chains

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