Chartis RiskTech100® 2025 Awards
SAS ranks #2 overall – with six category wins
SAS is ranked second overall in the world's foremost ranking of the Top 100 risk management and compliance technology providers. SAS also bested six technology award categories, including AI for Banking, Balance Sheet Risk Management, Behavioral Modeling, Enterprise Stress Testing, IFRS 9 and Model Risk Management.
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- 분석 보고서 Chartis RiskTech Quadrant Asset and Liability Management, 2024
- E-BOOK 5 Steps to a Unified Enterprise Customer Decisioning Strategy
- 분석 보고서 Chartis RiskTech100 2025
- 백서 Pioneering Ethical AI: The Crucial Role of Property and Casualty Insurers
- 보도자료 Analysts laud SAS’ innovation in AI, marketing, risk and fraud solutions
- 고객 사례 Accelerating stress testing in the cloud
- 백서 The balance sheet risk conundrum
- 고객 사례 Making faster, smarter credit decisions while elevating customer experience
- E-BOOK The insurance data and AI revolution
- 백서 How to compete in the new era of customer-centric insurance
- 분석 보고서 Chartis RiskTech100 2024
- 고객 사례 European Banking-as-a-Service leader strengthens its AML/CFT and fraud surveillance system with SAS
- 백서 Insurers: Are you ready for IFRS 17?
- 백서 The balance sheet risk conundrum
- 백서 Modernizing Asset Liability Management
- 분석 보고서 SAS, 2023년 2분기 The Forester Wave™: AI 기반 의사결정 플랫폼 부문 리더로 선정되다
- 고객 사례 Combating financial crime and terrorism financing with real-time sanctions screening
- 분석 보고서 Chartis names SAS a leader in both Model Risk Governance and Model Validation, 2023.
- 고객 사례 Achieving regionwide IFRS 17 compliance for insurance reporting
- 기사 Why banks need to evolve their approach to climate and ESG risk
- 백서 Banking in 2035: global banking survey report
- 백서 Decision science: From automation to optimization
- 백서 Banking in 2035: three possible futures
- 분석 보고서 Chartis names SAS a Leader in Actuarial Modeling and Financial Planning Systems, 2022
- 기사 Risk data infrastructure: Staying afloat on the regulatory flood
- 기사 Are you good at scoring?
- 기사 Understanding capital requirements in light of Basel IV
- 기사 Model risk management: Vital to regulatory and business sustainability
- 고객 사례 Fintech company’s rapid growth leads to consistent cloud strategy
- 고객 사례 Analytic models spotlight risky loans
- 고객 사례 Building reliability in risk
- 고객 사례 Finland’s top retail bank applies AI to improve customer service and credit scoring
- 기사 IFRS 17의 도래 – 무엇이 변하는가?
- 고객 사례 Stress testing becomes competitive advantage with advanced analytics
- 기사 IFRS 9 and CECL: The challenges of loss accounting standards
- 고객 사례 Advanced simulations and ‘stress-proof’ models help digital bank successfully navigate uncertain scenarios
- 기사 Risk data aggregation: Transparency, controls and governance are needed for data quality and reporting
- 기사 IFRS 17 and Solvency II: Insurance regulation meets insurance accounting standards
- 기사 CECL: Are US banks and credit unions ready?
- 기사 Understanding capital requirements
- 고객 사례 자금세탁 범죄에 맞서는 이스라엘의 위험 기반 전략
- 고객 사례 Modernizing consumer lending in Vietnam
- 기사 IFRS 17 : 방치는 해답이 아닙니다.
- 기사 시나리오 스트레스 테스트 : 규제 준수 이상의 사안.
- E-BOOK Stress and Strategy: A C-Suite Guide to Scenario-Based Risk Management
- 백서 Keys to robust credit risk modeling and decisioning for better customer experience
- 기사 분석이 가능한 CRO와 위험을 인식하는 CFO.
- 백서 Risk-Aware Finance and the Changing Nature of Credit
- 백서 Designing the Infrastructure for Credit Risk Model Development and Deployment in Utilities
- 기사 General Data Protection Regulation: From burden to opportunity
- 백서 Tackle the Complexity of IFRS 9 and CECL Standards
- 백서 Designing the Infrastructure for Credit Risk Model Development
- 기사 frtb: a wait and see strategy could be risky
- 고객 사례 리스크 모델에 대한 단일 정보 소스 구축
- 백서 CECL: Don't Neglect the Fundamentals
- 백서 Analytics Platform and Program: Keys to Success for Regulatory Compliance in Financial Services
- 기사 Credit risk management is the answer
- 고객 사례 Calculating credit risk in half the time
- 기사 New attitudes for liquidity risk management
- 기사 Should banks adopt regulations as best practices?
- 기사 Retail cyber risk tolerance
- 백서 Firmwide Scenario Analysis and Stress Testing
- 고객 사례 보고 체계 개선을 통한 위험 관리에 대한 이해 개선
- 고객 사례 Forecasting helps Wescom Credit Union save millions of dollars
- 기사 IFRS 9 impairment regulation: How to prepare for the data tsunami
- 기사 Five myths and misconceptions community banks have about Basel III
- 기사 Risk capital and lessons from the Titanic
- 기사 Data quality: The Achilles' heel of risk management
- 기사 A new arms race: Analytics for commodity market compliance
- 기사 What is a risk model?
- 고객 사례 Low-risk strategy delivers top-level returns
- 기사 인사이트 페이지 Credit Risk Management: What it is and why it matters
- 기사 인사이트 페이지 유동성 리스크: 개념과 중요성
- 고객 사례 Austrian bank uses integrated risk and carbon calculation engine to steer toward net-zero by 2050
- E-BOOK Adapting to the New Age of Risk Analytics
- 백서 Scenario-Based Risk Management: Overcoming the Challenges
- 백서 Stress Testing 2.0: Better Informed Decisions Through Expanded Scenario-Based Risk Management
- 경영진 요약정보 Climate Risk
- 백서 The Value of Credit Risk Transformations and the Role of AI
- 백서 Seven trends that will transform banking
- 백서 LDTI: Finding a solution for today and tomorrow
- 백서 Basel IV: The push you needed
- 백서 Compete and win with better model risk management
- 백서 Machine Learning Model Governance
- 백서 Artificial Intelligence in Banking and Risk Management
- 백서 Outrunning risk with cloud
- 백서 Building Artificial Intelligence in Credit Risk: A Commercial Lending Perspective
- 이벤트 자료 백서 Model Risk Management: Today's Governance and Future Directions
- 백서 Managing Models and Their Risks
- 백서 Intelligent Decision Automation for Telecommunications in the Digital Age
- 백서 From Crisis to Opportunity: Redefining Risk Management
- Solution Brief Financial crimes analytics
- Solution Brief Expected Credit Loss Process Optimization
- Solution Brief Health Outcomes
- Solution Brief Detect and prevent application and identity fraud in real time across the customer journey
- Solution Brief Manage payment fraud risk without impacting the customer experience
- Solution Brief Effective ALM and Liquidity Risk Management
- Solution Brief Effective ALM and Liquidity Risk Management
- Solution Brief Expected Credit Loss Process Optimization