CARY, N.C. (5/21/13)--Using predictive models built with software from business analytics provider SAS, CUNA Mutual Group, through its TruStage Insurance Agency, has revamped its customer contact strategy to provide more relevant, timely offers to credit union members.
CUNA Mutual and TruStage have achieved better customer satisfaction, increased revenue and reduced cost, SAS said.
Since 2006, CUNA Mutual has mined its databases with SAS to create internal reports. Now, using SAS Enterprise Guide as its primary predictive modeling tool, the insurer is embracing more advanced uses of the software.
"By leveraging advanced regression techniques, we successfully developed new models to help us determine a better strategy for targeting consumer prospects," said Simon Gao, CUNA Mutual vice president of consumer analytics. "Our results have been strong, both contributing to our organization's bottom line and enabling us to most efficiently reach the credit union members who most need the protection our products provide."
CUNA Mutual, through TruStage, uses SAS for other projects, such as developing forecasting models and automating scoring to identify the best prospects to target as most suited to cross selling opportunities. In addition, the team is visualizing data better with JMP desktop statistical discovery software from SAS.