About SAS Model Manager

SAS Model Manager is a flexible model repository and model management environment for predictive and analytical models. A centralized repository and procedural templates make it easy to manage models and metadata across organizational areas and throughout a model's life cycle. Accountability metrics and validation of analytical steps, from creation to deployment in real time or batch scoring systems, continue until a model is retired. Storing the models in a secure, centralized repository enables you to easily manage life cycle milestones, such as development, test, production, and retirement. The following figure illustrates the model management process that you use in SAS Model Manager:

The goal of a modeling project is to identify a champion model that a scoring application uses to predict an outcome. SAS Model Manager provides tools to evaluate candidate models, declare champion models, and inform your scoring officer that a predictive model is ready for validation or production. You can perform scoring tests for champion and challenger model assessment as well as publish and share the model life cycle and performance data over established reporting channels. You can also run comparative performance benchmarks for the models in your production environment.