Abstract: A graphical user interface is provided for using a computer to manage customer loss. The graphical user interface includes an overview window and a customer profile window. The overview window is for customer churn information that is associated with a period of time. Customer churn information may include information related to customer churn rates, lost profits, likelihood-to-churn rates, and likelihood-to-churn rates for important customers. The customer profile window is for customer information associated with each of several groups of customers for which customer churn information is displayed in the overview window. Customer information may include information related to customer demographics, such as characteristics of customers who are likely to churn, are loyal or are valuable, or the geographic distribution of customers or a subset of customers.

Abstract: Techniques are provided for managing customer loss. Customers are first grouped using a predetermined category definition and then customers in one group are segmented based on common customer characteristics. The techniques may be used to categorize customers based on a likelihood of being lost and segmenting customers with a high likelihood of being lost into smaller, more homogenous groups of customers based on shared customer characteristics.

Abstract: One implementation provides a computer system that integrates software applications with analytical software applications. In this implementation, the computer system is programmed to receive a request from a software application to execute an analytical task, such as a prediction task or a key performance indicator (KPI) lookup task. The request includes a task name and input information. The computer system then uses the task name to identify an analytical engine and a data store, and invokes an analytical software application in the analytical engine to execute the analytical task. The analytical task is executed using the identified data store and the received input information. The computer system receives task output from the invoked analytical software application, the task output including output information generated during execution of the analytical task. The computer system then sends the output information to the software application that made the request.

Abstract: One implementation provides a computer system that integrates software applications with analytical software applications. In this implementation, the computer system is programmed to receive a request from a software application to execute an analytical task, such as a prediction task or a key performance indicator (KPI) lookup task. The request includes a task name and input information. The computer system then uses the task name to identify an analytical engine and a data store, and invokes an analytical software application in the analytical engine to execute the analytical task. The analytical task is executed using the identified data store and the received input information. The computer system receives task output from the invoked analytical software application, the task output including output information generated during execution of the analytical task. The computer system then sends the output information to the software application that made the request.

Abstract: Techniques are provided for managing customer loss. Customers are first grouped using a predetermined category definition and then customers in one group are segmented based on common customer characteristics. The techniques may be used to categorize customers based on a likelihood of being lost and segmenting customers with a high likelihood of being lost into smaller, more homogenous groups of customers based on shared customer characteristics.

Abstract: Techniques are provided to determine, based on information about customers, the most valuable customers that have a high likelihood of being lost. The value of a customer may be based on the contribution of the customer to profit generated by a business enterprise.

Abstract: A graphical user interface is provided for using a computer to manage customer loss. The graphical user interface includes an overview window and a customer profile window. The overview window is for customer churn information that is associated with a period of time. Customer churn information may include information related to customer churn rates, lost profits, likelihood-to-churn rates, and likelihood-to-churn rates for important customers. The customer profile window is for customer information associated with each of several groups of customers for which customer churn information is displayed in the overview window. Customer information may include information related to customer demographics, such as characteristics of customers who are likely to churn, are loyal or are valuable, or the geographic distribution of customers or a subset of customers.