Group RCI has witnessed acceleration in its exchange membership growth in key geographies, such as Europe and Mexico.

Published: 22 Dec 2008

Group RCI has witnessed acceleration in its exchange membership growth in key geographies, such as Europe and Mexico.

The company said such positive results have emerged with the usage of predictive analytics from SAS.

RCI, which distributes scarce-supply properties to the right customers, measures return on investment by network growth, based on matching supply with demand.

RCI Global Vacation Network's members own time shares they want to swap or luxury properties they want to lease. SAS enables RCI to estimate the value of swaps and rentals and forecast demand. RCI can distribute inventory more effectively, increasing member satisfaction and revenue. RCI also uses SAS to identify cross-sell and up-sell opportunities and to create targeted mailing lists.

"We see lots of interesting problems on the business side," said Jeremy TerBush, director of analytics within Revenue Management at Group RCI. "With less powerful software tools, we hit roadblocks. The SAS Business Analytics Framework equips RCI to solve any sort of business problem."

"People know what's happening within the network thanks to the systems, alerts and pricing tools we've built using SAS," said Sean Joseph Lowe, Senior VP Revenue Management and Analytics at RCI.