data
A day in the life of a data scientist at AccorHotels
It may be a relatively new field with a worrying shortage of professionals but at Accor Hotels, data science is already being effectively used. What is data science? According to […]
Beyond the true Competitive set, how many does your hotel have?
A competitive set might be the most important tool hotel operators have at their disposal, that shows where your hotel stand against your competition on a daily/weekly and monthly basis. […]
How Should Revenue Managers Use Data? [Infographic]
NB: This is an article from NetAffinity How should revenue managers use data? What common pitfalls do they fall into? What are the contemporary “best practice” revenue management techniques and intelligence […]
How data can overcome commoditisation in travel
Travel has become a commodity in many markets, making price the only differentiator but big data can help to differentiate offers, writes Andrew Hennigan In many cases travel has become […]
Simplicity vs complexity: big data balance in airline Revenue Management
There are common pitfalls in how big data analytics can be applied to travel. In many industries often the use of big data analytics can be misapplied and the same […]
Use Online & Voice Channel Analytics to Understand True Digital ROI
NB: This is an article from HeBSDigital As mobile bookings and website visits increased by 46% and 28% year over year (HeBS Digital Research), it is critically important to determine […]
When It Comes to Big Data Hoteliers Must Think Creatively
Recently our Head of Education was speaking to a hotelier about the best way to set up and use his new SnapShot Analytics dashboard. Their conversation started by the hotelier admitting, […]
6 Things that Destroy Data-Driven Decision Making for Revenue Managers
In the last part of our 3 part series, we look at 6 factors that get in the way of a revenue manager’s data-driven decision making. Data-killers don’t always look […]
Leveraging hotels’ true unconstrained demand with better data sources
The hospitality industry has long used typical information sources to create as accurate a demand forecast as possible. However, with more sophisticated technology and software now available hotels would do […]
How Airbnb Uses Data Science to Improve Their Product and Marketing
As well-known as it is today, Airbnb had quaint beginnings. Unable to afford the rent for their San Francisco loft, founders Brian Chesky and Joe Gebbia turned their living room […]
