Students learn the basics of database modeling and managements as well as the analytical techniques and tools used to assess, enhance, and profit from customer-relationship management. The course reviews database technology, organization and planning including technology needs and outsourcing considerations; sampling techniques such as nth selects and frozen files; creating powerful predictor variables such as univariate and cross tabulations, ratios, time series variables, and other measures. The course also covers predicting customer actions by using multiple linear regression and correlation to model response, payment, attrition, churn, and other factors that assist in segmentation. Students also learn how to combine prospect and customer data residing on databases with outside sources of data to drive response models.
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