Maximization of customer values

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Business Analytics IBM Software Customer Intimacy Five predictive imperatives for maximizing customer value  Applying predictive analytics to enhance customer relationship management Introduction  Whether you call solving the business problems related to customer protability “customer relationship management” or just good business,  you know that strengthening customer relationships is imperative or business success or one simple reason: customers drive prots. In today’ s increasingly global and competitive market place, customers have more options available to them than ever beore. Many analysts and journalists, in act, are calling this a “customer economy. ” Attracting customers cost eectively and meeting their expectations or selection, price, quality, and service are essential to a customer value strategy. It is equally important, however, to identiy and retain protable customers, and increase their value over time. This requires the ability to anticipate customer needs and present attractive oers in the right way, at the right time. The companies who can do this will be the companies that thrive in the customer economy. SPSS was one o the pioneers in the eld o data analysis; it was rst on the scene and continues to be one o the most popular and widely used sotware applications. As a new member o t he IBM organization, SPSS brings its leading-edge analytic products and solutions to an even greater number o organizations worldwide. IBM SPSS oerings include industry-leading products or data mining and collection, statistics and management that can create predictive proles to aid you in meeting the needs o your various customer segments. These tools are based on industry standards a nd can easily integrate with your existing inrastructure to improve accuracy, decrease manpower and minimize loss. The combined eort brings you the utmost in fexibility in the kinds o data you mine and how you deploy results. Contents: 1 Introduction 4 The ve pred ictive i mpera tives 13 Products formax imizingcust omervalue 15 About IBM Business Analytics

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