Predictive Analytics in Improving customer experience in e-tourism: A Case Study

 Firstly, what is predictive analysis?

In technical terms, Predictive analysis is the use of statistics and modeling techniques to determine future performance based on current and historical data.

But, I’m sure we are all familiar with weather prediction which is one of the most common applications of predictive analysis. How do the weather forecasters predict climate every day? By combining real-time observational data with advanced computer models to simulate atmospheric conditions and make predictions based on numerical weather prediction techniques.

That is not all. Predictive analytics have wide range of applications. One which is e-tourism . That is what this case study is about.

Introduction:

Since the emergence of the Internet, travel planning has always been one of the major reasons that people use the Internet.

E-tourism is all about the introduction of digitization into the tourism industry. This manifests itself in many different ways like finding the perfect holiday destination, booking rooms at good quality hotels or buying travel tickets. E-Tourism can plan vacations from start to end with little effort from our side.

It helps and allows tourists plan or customize their plans accordingly through internet applications offered by the tourism players. At present more travel is sold over the Internet than any other consumer product. The Internet has become the most appropriate channel for selling travel as it brings a wider network of suppliers and a widely disseminated customer groups together into a centralized market place.