Quickly develop, validate, deploy and track risk models in house – while minimizing model risk and improving model governance.
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.
Adopt a sustainable, auditable model development environment.
A user-friendly graphical interface boosts productivity and efficiency, enabling you to easily create data sets, derive variables and manage judgmental models. You can work collaboratively, share variables, and apply filters and other parameters to maintain corporate IP and reduce your model risk. In addition, you have the flexibility to reuse existing SAS code.
Easily access and manage data.
Access, transform, standardize and cleanse all relevant data to create a 360-degree view of the customer or counterparty. A solution-specific data model lets you build robust, easy-to-access data structures that ensure consistency, powered by integrated data extraction, householding and deduplication, mapping and loading capabilities.
Quickly develop risk models in-house.
Develop, validate and implement an unlimited number of risk models in-house with our end-to-end, integrated solution. You'll get risk models into production faster while reducing your model risk. The solution also includes champion/challenger capabilities, which enable low-risk experimentation, leading to better-performing models.
Lower costs with support for multitenancy.
SAS Risk Modeling supports multitenancy on a single SAS Viya deployment. Multitenancy separates business units within single or multiple corporations while sharing resources, thus lowering costs.
Process data in SAS® CAS.
Because SAS Risk Modeling is powered by SAS Cloud Analytic Services, it performs modeling and scoring with its highly parallel and distributed architecture. SAS Risk Modeling supports in-memory processing for data-intensive tasks that include building modeling analytical base tables, backtesting, scoring analytical base tables, actual calculation, and ongoing monitoring of statistical calculation models.
Award-winning data management, data mining, machine learning and reporting capabilities in a low-risk, integrated risk modeling solution.
Check out these products and solutions related to SAS® Risk Modeling.
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