data

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.

These attacks infect eCommerce websites with malicious code. Once a website is infected, payment card information is “skimmed” during a transaction without the merchant or consumer being aware.

Travel Intent Targeting is essentially the ability to find users who have decided on a destination but have not yet chosen a specific hotel in that destination

It’s clear that data platforms are powerful tools for hotels to manage and interpret their data. It’s even more evident that cross-analysis between these platforms is very useful for mastering performance.

Up until now, data science has been focused on hotels’ main product: the guestrooms. But it’s starting to move into other areas, such as F&B and meetings.

The following mid-stay guest engagement strategies can help you drive your property’s long-term growth in RevPAR, ancillary revenue, and guest satisfaction

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.