Operations Planner
« 
December 2024
 »
SMTWTFS
1234567
891011121314
15161718192021
22232425262728
293031 

Analysing the Profitability of Different Types of Customers

publication date: Apr 11, 2011
View a Printer Friendly version of this page, allowing you to print the page. Send a summary of this page to someone via email.
Edward Nevraumont, senior director - customer loyalty, Expedia on predictive analytics, and using the same to mine and analyse the data gathered from web traffic and bookings on a website.

Technological breakthroughs have provided the ability to manage and make sense of vast amounts of hitherto unrelated data.

Several sectors including the travel industry are now leveraging this data through business analytics, according to SAS, a specialist in this arena. There are quite a few facets of this discipline. Companies are using customer loyalty programmes and predictive modeling techniques to identify and retain the most profitable customers.


Sorry this page is available to subscribers only.
If you're not a subscriber why not join today?

If you are already a subscriber, please login.

If you believe you should be able to view this area then please contact us and we will try to rectify this issue as soon as possible.


To gain access to the members only content click here to subscribe.

You will be given immediate access to premium content on the site.
Search the Site