Resources
Explore resources related to banking analytics.
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E-BOOK
5 Steps to a Unified Enterprise Customer Decisioning Strategy -
분석 보고서
Chartis RiskTech100 2025 -
고객 사례
UK bank uses advanced analytics to reduce risk and cloud costs -
고객 사례
Predicting payment fraud: The power of real time analytics -
고객 사례
Revolutionizing fraud detection at Techcombank -
고객 사례
Understanding the needs of banking customers in the digital economy -
고객 사례
Accelerating stress testing in the cloud -
고객 사례
Award-winning bank’s data-driven strategy boosts productivity, efficiency and customer centricity -
백서
The balance sheet risk conundrum -
분석 보고서
SAS is a Leader in The Forrester Wave™: Enterprise Fraud Management, Q2 2024 -
고객 사례
Unlocking the power of customer experience, compliance and innovation -
분석 보고서
Chartis RiskTech Quadrant for Watchlist and Adverse Media Monitoring 2024 -
고객 사례
Making faster, smarter credit decisions while elevating customer experience -
분석 보고서
SAS는 The Forrester Wave ™로부터 202년 4분기 실시간 상호작용 관리 리더로 선정되었습니다. -
고객 사례
Banking on the power of data: The analytical approach to trust, performance and productivity -
고객 사례
Specialist bank accelerates digital transformation with cloud migration -
분석 보고서
Chartis RiskTech100 2024 -
고객 사례
European Banking-as-a-Service leader strengthens its AML/CFT and fraud surveillance system with SAS -
백서
The balance sheet risk conundrum -
E-BOOK
Unifying Model Management Across the Bank -
E-BOOK
Personalized advertising that you control -
분석 보고서
Chartis RiskTech Quadrant Asset and Liability Management, 2023 -
백서
Modernizing Asset Liability Management -
기사
4 strategies that will change your approach to fraud detection -
고객 사례
Combating financial crime and terrorism financing with real-time sanctions screening -
분석 보고서
Chartis RiskTech Quadrant for Enterprise Fraud Solutions, 2023: Vendor Analysis -
분석 보고서
Chartis names SAS a leader in both Model Risk Governance and Model Validation, 2023. -
백서
Retail bank media networks: Monetize customer data with personalized offers and advertising -
백서
Proactive anti-financial crime strategies to improve compliance and reduce risk -
고객 사례
Stopping payment fraud in real time -
고객 사례
Identity management is key to preventing credit fraud -
기사
Why banks need to evolve their approach to climate and ESG risk -
백서
Next-generation AML -
고객 사례
Advanced analytics and machine learning help Poste Italiane identify and stop fraud in real time while enhancing customer experience -
백서
Banking in 2035: global banking survey report -
백서
Decision science: From automation to optimization -
백서
Banking in 2035: three possible futures -
기사
Risk data infrastructure: Staying afloat on the regulatory flood -
분석 보고서
SAS is a Leader in The Forrester Wave™: Anti-Money Laundering Solutions, Q3 2022 -
분석 보고서
IDC MarketScape: Worldwide Responsible Artificial Intelligence for Integrated Financial Crime Management Platforms 2022 Vendor Assessment -
기사
Are you good at scoring? -
기사
Top prepaid card fraud scams -
기사
Understanding capital requirements in light of Basel IV -
기사
Model risk management: Vital to regulatory and business sustainability -
분석 보고서
Chartis RiskTech Quadrant for Trade-Based AML Solutions 2022 -
고객 사례
Fintech company’s rapid growth leads to consistent cloud strategy -
분석 보고서
dbInsight: SAS Viya is living large on Azure -
고객 사례
Analytic models spotlight risky loans -
분석 보고서
Matrix: Leading Fraud & AML Machine Learning Platforms -
고객 사례
Building reliability in risk -
기사
Detect and prevent banking application fraud -
고객 사례
Finland’s top retail bank applies AI to improve customer service and credit scoring -
기사
Payment fraud evolves fast – can we stay ahead? -
고객 사례
Azure 환경에서 SAS Viya를 통해 디지털 혁신을 추구하는 그리스의 선도 금융 기업 -
고객 사례
Fighting financial crime through a global anti-money laundering platform -
고객 사례
Stress testing becomes competitive advantage with advanced analytics -
고객 사례
Transforming the consumer banking experience through advanced analytics -
고객 사례
Predictive analytics empowers bank to act quickly with confidence -
기사
Online payment fraud stops here -
기사
IFRS 9 and CECL: The challenges of loss accounting standards -
고객 사례
Swiss financial institution uses advanced analytics to reimagine marketing and personalize customer experiences -
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
CECL: Are US banks and credit unions ready? -
기사
Situational awareness guides our responses – routine to crisis -
기사
Managing fraud risk: 10 trends you need to watch -
기사
Understanding capital requirements -
고객 사례
Thai bank safeguards customers while managing fraud detection in real time -
기사
Under siege: Improving customer experience in banking -
기사
AI in banking: Survey reveals factors for success -
고객 사례
Modernizing consumer lending in Vietnam -
고객 사례
고급 분석으로 고객 경험 개선 -
백서
Detect and Prevent Identity Theft -
백서
Migrating Analytics to the Cloud: It's About Time -
E-BOOK
Stress and Strategy: A C-Suite Guide to Scenario-Based Risk Management -
백서
Detect and prevent digital banking fraud -
백서
Fighting Insurance Application Fraud -
고객 사례
북유럽 120개 은행의 범죄 예방 및 규정 준수 -
기사
Strengthen your payment fraud defenses with stronger authentication -
백서
Managing Fraud Risk in the Digital Age -
백서
Keys to robust credit risk modeling and decisioning for better customer experience -
백서
Artificial Intelligence for Executives -
백서
Machine Learning Use Cases in Financial Crimes -
백서
Risk-Aware Finance and the Changing Nature of Credit -
백서
Using Hybrid Cloud Capabilities for True Omnichannel Marketing -
고객 사례
Fast analytical defense -
백서
Text Analytics for Executives -
고객 사례
Cultivating a risk culture -
사례 연구
Thwarting disruption with strategic investments in innovation -
백서
Tackle the Complexity of IFRS 9 and CECL Standards -
고객 사례
자금세탁 방지 활동을 지원하는 분석 기술 -
백서
Protect the Integrity of the Procurement Function -
백서
Designing the Infrastructure for Credit Risk Model Development -
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 -
고객 사례
Calculating credit risk in half the time -
기사
Equifax uses trended data to better qualify loan applicants -
기사
New attitudes for liquidity risk management -
기사
How to uncover common point of purchase -
시리즈
Digital transformation: Moving from handshakes to householding at Comerica -
기사
Should banks adopt regulations as best practices? -
기사
Retail cyber risk tolerance -
백서
Firmwide Scenario Analysis and Stress Testing -
백서
Leveraging Analytics to Combat Digital Fraud in Financial Organizations -
고객 사례
보고 체계 개선을 통한 위험 관리에 대한 이해 개선 -
고객 사례
Forecasting helps Wescom Credit Union save millions of dollars -
고객 사례
Optimization delivers more revenue while slashing marketing costs -
기사
Online fraud: Increased threats in a real-time world -
고객 사례
A faster, comprehensive way to manage portfolio risk -
고객 사례
Fast track to advanced operational risk management -
기사
What was your data doing during the financial crisis? -
기사
Five myths and misconceptions community banks have about Basel III -
기사
Marketing optimization: Five lessons learned at a major US bank -
기사
Improving customer experience with digital marketing -
기사
Mobile payments, smurfs and emerging threats -
기사
Rethink customer due diligence -
기사
Data quality: The Achilles' heel of risk management -
백서
Rethinking customer due diligence -
기사
From lab to life -
기사
What is a risk model? -
회견
Data visualization: A wise investment in your big data future -
고객 사례
Nationwide reduces fraud losses by 75% -
고객 사례
Low-risk strategy delivers top-level returns -
기사
인사이트 페이지
사기 방지: 개념과 중요성 -
기사
인사이트 페이지
유동성 리스크: 개념과 중요성 -
기사
인사이트 페이지
자금세탁방지 (AML): 개념과 중요성 -
기사
Blockchain: What it is and why it matters -
고객 사례
Austrian bank uses integrated risk and carbon calculation engine to steer toward net-zero by 2050 -
고객 사례
Hyper-personalized offers help consumer finance company elevate the customer experience -
고객 사례
Managing risk to move faster in the marketplace -
고객 사례
Fighting loan application fraud with cutting-edge analytics -
백서
AI Is at the Forefront of Reducing Money Laundering and Combating the Financing of Terrorism -
백서
Balancing Fraud Detection and the Customer Experience -
백서
From Crisis to Opportunity: Redefining Risk Management -
백서
Data, analytics and machine learning: The new frontier of fraud prevention -
백서
Seven trends that will transform banking -
백서
Anti-Fraud Technology -
백서
Outrunning risk with cloud -
E-BOOK
Data scientists use SAS Viya on Microsoft Azure to develop big innovations -
백서
Basel IV: The push you needed -
E-BOOK
Adapting to the New Age of Risk Analytics -
경영진 요약정보
Climate Risk -
백서
Compete and win with better model risk management -
E-BOOK
Fearless Decision? -
E-BOOK
Fight money laundering with these 5 next-gen game changers from SAS -
백서
Artificial Intelligence in Banking and Risk Management -
백서
Building Artificial Intelligence in Credit Risk: A Commercial Lending Perspective -
백서
The Escalation of Digital Fraud -
백서
Payments Without Borders -
백서
Machine Learning Model Governance -
백서
Scenario-Based Risk Management: Overcoming the Challenges -
백서
How AI and Machine Learning Are Redefining Anti-Money Laundering -
백서
Managing Models and Their Risks -
백서
Stress Testing 2.0: Better Informed Decisions Through Expanded Scenario-Based Risk Management -
백서
The Value of Credit Risk Transformations and the Role of AI -
백서
AML Modernization -
E-BOOK
Customer experience - now and into the future
전 세계 수 많은 기업들이 SAS와 함께 발전하고 있습니다.
분석 기술의 리더가 되기 위한 첫 걸음을 시작하세요.