SAS
SAS is the leader in analytics. Since 1976, SAS has been giving customers worldwide The Power to Know®. With 40 years of analytics experience, SAS works closely with top companies across industries to address critical business needs. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster.
SAS solutions are used by more than 3,500 financial institutions worldwide, including 97% of the banks on the Fortune Global 500®, and placed as the top risk solutions vendor for risk management technology in the 2015 and 2016 Chartis: RiskTech100®.
All content by SAS
Decision science: From automation to optimisation
Despite its benefits, credit decisioning is severely lagging – average ‘time to decision’ for small business and corporate lending at traditional banks is between three and five weeks, while average ‘time to cash’ is nearly three months. Are such long lead times efficient and responsive in today’s…
Outrunning risk with cloud
Supercharged risks are running circles around banking risk models. Here’s how the cloud can keep you one step ahead. Download the latest whitepaper, written by intel, SAS and Microsoft industry experts and learn about several principles to guide a banks approach to introduce cloud-based risk…
Banking on the Right Side of Recovery Post Covid-19
This IDC InfoBrief explores the fast-evolving dynamics of banking amid the crisis and the role of advanced data and analytics in accelerating digital adoption, augmented by sound risk management practices and intelligent decisioning.
Best Actions for Insurers in a Post–COVID-19 World
In the wake of the pandemic, insurers are now more than ever focused on “empathy”, going beyond their regular commitments to better cater to customer requirements, promote employee wellness, and provide support to their distribution channel partners. The industry has extended its help in multiple…
Building Artificial Intelligence in Credit Risk: A Commercial Lending Perspective
This whitepaper, drawing on recent academic evidence and business insights, provides a contemporary look at what AI and ML adoption could mean for commercial lending and credit risk assessments while also proposing different approaches to AI and ML adoption tailored to each step of the commercial…
Scenario-Based Risk Management: Overcoming the Challenges
This whitepaper explores how financial institutions can use technology to address some of the key challenges of extending enterprise stress testing processes to support scenario-based risk management, operate much more efficiently and derive greater business value from their stress testing…
Stress-testing amid Covid‑19
The Covid‑19 pandemic has proved to be a real-life stress test for the banking sector as firms adjust to new ways of working. Here, SAS explores how the pandemic has magnified the importance of stress-testing, scenario analysis and contingency planning to ensure business can resume as usual in…
Next steps for MRM in South‑east Asia
Financial institutions across South‑east Asia face challenges assessing and measuring non-financial risks (NFRs) inherent in their business models, and are therefore concerned about regulatory scrutiny, transparency and the use of models within their businesses. SAS explores how financial…
Stress Testing 2.0: Better Informed Decisions Through Expanded Scenario-Based Risk Management
This paper reviews the maturation of regulatory stress test regimes and explores diverse use cases where stress testing (or, more broadly, scenario-based analysis) may provide value beyond regulatory stress testing.
The Future of Risk Modelling: Taking the risk out of next-generation risk modeling − from data to decision
This white paper explores the complexities and risks inherent in pervasive adoption of risk modelling.