Modeling Customer Lifetime Value Using Survival Analysis - An Application in the Telecommunications Industry [ Source: SAS Institute ]
January 2008- This white paper presents an application to model customer lifetime value, the net presents value of customers calculated profit over a certain number of months, using survival analysis techniques. Customer lifetime value is a powerful and straightforward measure that synthesizes customer profitability and churns risk at individual customer level. For existing customers, customer lifetime value helps companies develop customer loyalty and treatment strategies to maximize customer value. For newly acquired customers, customer lifetime value helps ....

Stepwise Methods in Using SAS PROC LOGISTIC and SAS Enterprise Miner for Prediction [ Source: SAS Institute ]
January 2008- This paper published by SAS institute demonstrates that if the goal of modeling is prediction, with a large number of covariates and little theoretical guidance for choosing among them, the approach based on the combination of stepwise logistic regression, information criteria, and best subset selection will result in fully automated procedure. The technique proposed in this paper can be used for predictive purposes with SAS PROC LOGISTIC or within Enterprise Miner in solving such problems ....

A New Strategy of Model Building in PROC LOGISTIC With Automatic Variable Selection, Validation, Shrinkage and Model Averaging [ Source: SAS Institute ]
January 2008- This paper is a further development of the work wherein the researchers proposed an approach to model building for prediction based on the combination of stepwise logistic regression, information criteria, and the best subset selection. The approach inherited some strong features of the three components mentioned, in particular it helped to avoid the agonizing process of choosing the ""Right"" critical p-value in stepwise regression. At the same time automatic selection procedures are often criticized severely ....

Risk Management In The BPM Lifecycle [ Source: Stevens Institute of Technology ]
January 2008- Business Process Management (BPM) is considered an essential strategy to create and maintain sustainable competitive advantage. While researchers are anxious to identify critical success factors for the management of business process related projects, the risks associated with these projects have received considerably less attention. This paper provides an overview of risks associated with BPM projects along the phases of the BPM lifecycle. After a classification of the risks identified with the individual life cycle phases ....

Oracle Warehouse Builder 10gR2: Transforming Data Into Quality Information [ Source: Oracle ]
January 2008- This paper discusses the concepts of data quality, their importance in an enterprise as well as the diverse advantages of performing data quality processes inside a robust data integration product - Oracle Warehouse Builder. Oracle Warehouse Builder addresses the challenges of data quality by offering data evaluation data cleansing, data integration, and data monitoring in one tool. It promotes the disciplined approach to data quality by making data quality processes easily available in the same ....