This document discusses how advanced analytics and predictive modeling can help associations achieve strategic goals. It contrasts business intelligence with data science and explains how predictive modeling fits within an association's analytics framework. The document also provides examples of predictive models that associations could use, such as models to predict meeting attendance, purchasing likelihood, or long-term revenue from new members. Finally, it discusses how AFP has used predictive analytics to improve initiatives like customer journeys, onboarding programs, and community platforms.