Personalizing customer interactions and consistently communicating with customers across all channels are key to LaSalle Bank Corporation's CRM strategy. SPSS predictive analytics will allow LaSalle Bank Corporation to generate personalized product offers for its more than four million North American customers through its Web site, its call center and its ATMs. These real-time recommendations will enable the organization to conduct more effective cross-selling and deliver better service, optimizing their interactions with customers.

SPSS predictive analytic applications will help LaSalle Bank Corporation proactively identify events or changes in customer behavior that can imply the need for a specific product or service at a given moment in time. The organization will then be able to more quickly and appropriately respond to individual customer needs through its customer contact channels, resulting in significant additional revenue and more satisfied customers.

"With the positive results ABN AMRO is achieving with SPSS applications in the Netherlands, we are delighted that the company's North American organization has also chosen to deploy the application," said Marcel Holsheimer, vice president of vertical product marketing, SPSS Inc. "As a multi-channel bank, LaSalle Bank Corporation is at the forefront of using advanced technology to interact with its customers. Our software enables the organization to significantly maximize long-term customer value, further enhancing its competitive edge in the US marketplace."

LaSalle Bank Corporation's (formerly ABN AMRO North America) two banks, LaSalle Bank and Standard Federal Bank, form the second largest retail bank in the US Midwest and the second largest foreign bank in the US overall. Together, they operate more than 400 branches and 1,350 ATMs. Both ABN AMRO and LaSalle Bank Corporation have purchased predictive analytic applications that were originally acquired by SPSS through its November 2003 acquisition of DataDistilleries.