Subscribe to DSC Newsletter

All Blog Posts Tagged 'hotel' (3)

Predicting Hotel Cancellations with Support Vector Machines and SARIMA

Hotel cancellations can cause issues for many businesses in the industry. Not only is there the lost revenue as a result of the customer cancelling, but this can also cause difficulty in coordinating bookings and adjusting revenue management practices.

Data analytics can help to overcome this issue, in terms of identifying the customers who are most likely to cancel – allowing a hotel chain to adjust its marketing strategy accordingly.

To investigate how machine learning can…

Continue

Added by Michael Grogan on July 2, 2019 at 3:00am — No Comments

Churn in a hotel booking site

Someone said customer churn?

Nowadays everyone knows what is customer churn and how to predict and how to handle it. Even the junior data scientists have worked on a part of it (at least). Seniors have already created a prediction model to predict that a customer is going to leave or not.

But is that really simple? The answer is NO of…

Continue

Added by Emre YAZICI on April 13, 2017 at 2:00am — No Comments

5 Simple Ways Hotels Can Use Data To Increase Revenue

In 2017, it’s clear that the hospitality industry needs to prepare for even more disruptions that will unfold over the coming year. Airbnb, OTAs, start-ups, big data companies and loyalty program changes will remain the focal points to stay across this year.

As a hotel digital or revenue manager, you could get caught up in the hype, continue…

Continue

Added by Mark Ross-Smith on January 6, 2017 at 9:30pm — No Comments

Monthly Archives

2019

2018

2017

2016

2015

2014

2013

2012

2011

1999

Videos

  • Add Videos
  • View All

© 2019   Data Science Central ®   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service