Award-winning data management, data mining, machine learning and reporting capabilities in a low-risk, integrated risk modeling solution.
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.
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.
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.
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.
이 새로운 솔루션은 폭넓고 깊이 있게 모든 분석 과제를 해결할 수 있는 최첨단 오픈 아키텍처인 SAS Viya를 기반으로 실행됩니다. 단일 클라우드 환경인 SAS Viya는 확장 가능하고 안전할 뿐만 아니라 애자일 IT 환경에 없어서는 안 될 분석 관리 및 거버넌스를 통해 데이터 사이언티스트에서 비즈니스 분석가까지, 그리고 애플리케이션 개발자에서 기업 임원에 이르기까지 누구나 이용할 수 있습니다. 분석 분야를 선도하는 세계적 리더인 SAS와 함께 여러분이 기대해왔던 성능을 경험해보세요.
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