analytics

Analytics help hoteliers make better use of their data, enhancing the effectiveness of their forecasting capabilities to explore, predict and optimise revenue.

When it comes to analyzing your data, relying on manual methods – i.e. using Excel spreadsheets or Google Sheets – takes too much time and is often inaccurate, fraught with human error.

We all know that data is crucial for tracking the effectiveness of your digital marketing campaigns. But is the data you’re looking at really telling you the whole story?

Data is the facts of what happened or what’s in the process of happening. Analytics are when you begin to make discoveries from that data, derive insights and maybe make predictions.

If the RevPAR index and the ARI are below 100 with a high MPI, it means that the property is forfeiting revenue by missing the opportunity to fill rooms at a higher rate.

What data is relevant what data is not relevant and should not be included? This ranks as one of the top challenges with business intelligence, according to hotel operators.

Business Intelligence, BI, is the key to your success! In order to use all the data revenue managers have, we must first understand the data that is available and then focus on how to use it.

Benchmarking and KBI’s were all the rage but today you don’t hear much about their usefulness or how to create them. There is a good reason they have fallen out of sight in the hospitality industry.

A hotel marketing manager may need to understand the results of various promotional levers, which means feeding response data into campaign planning models and running scenarios

In this podcast we talk about the topic of Market Segmentation and why it is so crucial to developing a strong Revenue Management strategy.