Business intelligence, analytics, predictive modeling


Conference: Metering, Billing/CIS America 2007
Location: San Antonio, TX, USA
Presenter: Kim Gaddy
Abstract: Presented by Kim Gaddy at Metering, Billing/CIS America 2007

This presentation explores the relationships and distinctions between business intelligence, analytics, and predictive modeling.  It looks at predictive modeling possibilities, different types of predictive models, and examines some of the potential uses in the collections risk management arena.  A review of the business challenges associated with predictive modeling is also provided. 

The presentation then steps through how to apply predictive modeling as part of an integrated business process, from baseline analysis to model development to production deployment and performance monitoring.  Examples of model structure, a model fitness evaluation, and performance monitoring needs are provided along the way. 

The presentation concludes with an overview of three different strategies to pursue use of predictive modeling as a business tool.