data

The idea of Anomaly Detection is to track the normal variation and flag the unexpected events. So in the world of availability tracking, what could possibly go wrong?

Are you involved in improving the performance of your hotel website’s direct revenue contributions? If so, you probably make data-driven decisions every day.

Whether data is extracted from a PMS via guest billings or marketing data showing how guests prefer to engage with your property, it’s clear it holds the key for increasing ancillary sales

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?

The challenge for hotels lies in figuring out what their loyalty program perks should be, whether the program value outweighs its costs, and obtaining and analyzing data to help measure the success.

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.

As online businesses have become more skilled in their use of data, the online purchasing journey has evolved from a three-stage funnel into a complex, interconnected web.

Hoteliers already solicit and measure guest feedback pulled together from many different channels. But are you measuring the quality of your guest relationships in the same way?

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.