SAS IS A CATEGORY LEADER
Chartis RiskTech Quadrant® for ALM Solutions, 2024
SAS distinguishes itself as a strong category leader in analytics solutions for asset & liability management, as well as being recognized as a category leader with integrated solution offerings for funds transfer pricing, liquidity risk management, capital & balance sheet optimization, hedging & risk management, and financial planning & budgeting.
SAS had the foresight to invest and continues to strengthen its position in the ALM market, as Chartis’ latest analysis reflects. The integration of Kamakura’s robust capabilities into SAS’ broad risk management solutions portfolio on SAS® Viya® brings to market a unified, AI-powered platform capable of integrating data and decision-making across ALM and other risk domains." Sid Dash Chief Researcher, Chartis
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- 白皮书 The balance sheet risk conundrum
- 客户案例 European Banking-as-a-Service leader strengthens its AML/CFT and fraud surveillance system with SAS
- 客户案例 Combating financial crime and terrorism financing with real-time sanctions screening
- 文章 Beyond IFRS 17 – what's next?
- 电子书 5 Steps to a Unified Enterprise Customer Decisioning Strategy
- 白皮书 Scenario-Based Risk Management: Overcoming the Challenges
- 白皮书 Stress Testing 2.0: Better Informed Decisions Through Expanded Scenario-Based Risk Management
- 白皮书 Modernizing Asset Liability Management
- 分析报告 Chartis RiskTech100 2025
- 分析报告 Chartis RiskTech100 2024
- 客户案例 Austrian bank uses integrated risk and carbon calculation engine to steer toward net-zero by 2050
- 客户案例 Accelerating stress testing in the cloud
- 客户案例 Unlocking the power of customer experience, compliance and innovation
- 白皮书 The balance sheet risk conundrum
- 客户案例 UK bank uses advanced analytics to reduce risk and cloud costs
- 文章 Are you good at scoring?
- 客户案例 Making faster, smarter credit decisions while elevating customer experience
- 文章 新一轮的数据分析“军备竞赛”
- 文章 New attitudes for liquidity risk management
- 分析报告 Chartis names SAS a Leader in Actuarial Modeling and Financial Planning Systems, 2022