Neil Mason presents on Data Mining and Predictive Analytics at Emetrics San Fransisco 2008

This document discusses applications of data mining and predictive analytics techniques. It provides examples of how segmentation, propensity modeling, forecasting, and anomaly detection can be used. Specific applications discussed include visitor segmentation to understand website users, predictive modeling to improve email targeting and conversion rates, and analyzing multi-visit behavior to determine key drivers of online purchases. The document emphasizes that these analytical techniques can help reveal patterns in data that traditional querying may miss.