SAS Risk Modeling
Quickly develop, validate, deploy and track risk models in–house while minimizing model risk and improving model governance.
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Make well-informed risk decisions
Reduce losses and boost your overall business performance by making better, data-driven risk decisions in, for example, loan originations, account management and collections processes. In addition, SAS Risk Modeling enables you to develop risk models for virtually all lending products – including credit cards, installment loans, mortgages and commercial loans.
Key features
Superior risk data collection & management
Gives you easy access to all prerequisite third-party bureau, application, billing-payment and collections data from multiple data sources.
Fast, flexible scorecard development
Enables rapid in-house development, validation and implementation of risk models in a collaborative environment.
Unequaled performance reporting
Provides a wide selection of web-based model stability, performance (model monitoring), calibration and model-input validation reports, including those suggested by BCBS Working Paper 14.
Powerful, user-friendly interface
Lets you create models faster and reduce training costs with GUI-based data management, modeling data set creation, data mining and reporting tools.
Parameter sharing
Enables you to share parameters, such as derived variables, filters, binning schemes, data mining projects and notes to retain corporate IP while reducing staff churn and human resource risk.
In-database processing
Provides the advantage of powerful in-database processing capabilities for dealing with very large data sets.
Ability to combine machine learning & open source with traditional models
Lets you develop, deploy and monitor innovative machine learning models alongside traditional risk models within the same integrated environment.
Related products, solutions & capabilities
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- SAS® Visual Machine LearningMaximize productivity and trust with a unified, scalable and collaborative machine learning platform.
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