Best Practices – IBM SPSS Modeler and Statistics Case Studies

Haworth, Inc. – company uses SPSS PASW Statistics to extract in-depth, strategic information from customer surveys. The objective was not only learn the overall satisfaction levels but also dig deeper and understand answers to questions such as: Would a customer be likely to repurchase from Haworth?; Would a customer recommend Haworth to other companies?

Sofmap Company, Ltd., Tokyo – Company uses SPSS Modeler to build an engine that recommends appropriate products based on customers’ profiles derived from information gathered during the online registration process and from past transactions.

Highmark Blue Cross Blue Shield – Company uses SPSS PASW Statistics to perform thorough analyses of vast quantities of membership data to derive customer demographic profiles to be used in finding markets for expansion. The sort and aggregate data management functions made it possible to identify different customer characteristics and plan member service improvements.

Boeing Employees’ Credit Union – Company uses SPSS Statistics to build a risk scoring model and embed it into the daily transaction processing system to automatically determine how much cash each member can withdraw from an ATM or receive when making a deposit. They also use the functionality to target customer most likely to respond to marketing campaigns, and most productive locations for new branches.