Sublime

predicting influence on behavior.

kept a keen eye on the underlying response models and how they could be improved. Companies

Their PA projects include customer loss prediction, sales lead scoring, and supplier fraud detection.

PA actually “rolls up,” learning patterns that hold true in general by way of rote number crunching across the masses of customer records.

His background included research determining which medical treatment will provide the best outcome for each patient, and which price will provide the best profit from each retail customer. At

These behaviors are often the most valuable—it’s always a behavior that we seek to predict, and indeed behavior predicts behavior.

with most applications of predictive analytics (PA), Eric and Karrie’s system repurposes data.

care. For many PA projects, the objective is more to predict than it is to understand the world and figure out what makes it tick.