1. A system for managing churn among customers of a business having a statistically large customer base, the system comprising: a data mart; a population architecture adapted to receiving customer data from one or more data sources, the customer data defining a plurality of customer attributes for each customer in the customer base; a data manipulation module for preparing one or more analytical records from data stored in the data mart for data mining; a data mining tool for analyzing the one or more analytical records prepared by the data manipulation module, the data mining tool adapted to return results identifying clusters of customers sharing common customer attributes and calculating individual customers' propensities to churn during a predefined period in the future, the data manipulation module storing the results in the data mart; and an end user access module for accessing the results returned from the data mining tool and presenting the results to a user.