This document discusses predictive analytics and predictive modeling. It begins with an agenda that outlines an introduction to predictive models, why organizations build them, comprehensive analytics solutions, benefits of models, and a demonstration of IBM SPSS Modeler. Predictive models are empirically-derived algorithms used to predict future outcomes like customer actions and risk levels. Building predictive models allows organizations to better target customers, improve strategies, and increase profitability. Effective predictive analytics requires developing predictive models, segmenting customers, testing strategies, and establishing a feedback loop for continuous improvement.