1. A computer program product tangibly embodied in a non-transitory computer-readable medium, the computer program product having instructions that, when executed, by at least one computer generate, on a display device, a graphical user interface for using a computer to manage customer loss, the graphical user interface being generated by: developing a time-dependent prediction for each of several customers of a business enterprise using multiple likelihood to churn values predicted for each of the several customers over time using a customer churn model; monitoring the developed time-dependent prediction for each of the several customers over time; inferring, for each of the several customers, customer status in terms of whether the customer is an active customer or a lost customer by evaluating interactions of the customer with the business enterprise against multiple criteria that each identify a condition which suggests whether the customer remains an active customer, where the customer is determined to be an active customer when the interactions of the customer with the business enterprise satisfy at least one of the multiple criteria for an active customer and the customer is determined to be a lost customer when the interactions of the customer with the business enterprise do not satisfy any of the multiple criteria for an active customer; based on the monitoring and the inferred customer status, comparing the developed time-dependent prediction for each of the several customers over time with the inferred customer status of each of the several customers over time; adjusting the customer churn model based on the comparison of the developed time-dependent prediction for each of the several customers over time with the inferred customer status of each of the several customers over time; determining customer churn information that includes a churn attribute that relates to customer churn of a set of customers of the business enterprise and multiple values for the churn attribute, each value being associated with a particular point within a period of time; identifying several groups of customers within the set of customers of the business enterprise, each of the several groups of customers include multiple customers included in the set of customers of the business enterprise; for each of the several groups of customers: accessing, for each customer included in the corresponding group, a likelihood to churn value predicted for the corresponding customer by applying the adjusted customer churn model to at least one attribute of the corresponding customer; and computing, using the accessed likelihood to churn values, a group likelihood to churn value that is descriptive of likelihood to churn of the customers of the business enterprise included in the corresponding group; displaying an overview display for customer churn information associated with the period of time, the customer churn information including the churn attribute that relates to customer churn of the set of customers of the business enterprise and the multiple values for the churn attribute, each value being associated with a particular point within the period of time for which the customer churn information is being displayed; and displaying a customer profile display for customer churn information associated with each of the several groups of customers for which customer churn information is displayed in the overview display, wherein: the customer profile display includes, for each of the several groups of customers, the computed group likelihood to churn value that is descriptive of likelihood to churn of the customers of the business enterprise included in the corresponding group.