Explore more banking-related e-books, white papers, webinars and more
To browse resources by type, select an option below.
-
- Select resource type
- E-BOOK
- R E S E A R C H
- 개요 브로셔
- 경영진 요약정보
- 고객 사례
- 고객 사례
- 기사
- 동영상
- 백서
- 분석 보고서
- 블로그 게시물
- 사례 연구
- 산업 개요
- 솔루션 요약
- 시리즈
- 웨비나
- 인포그래픽
- 제품 요약
- 책 발췌
- 팟캐스트
- 팩트 시트
- 회견
- 분석 보고서 Chartis RiskTech AI 50, 2025
- 백서 From algorithms to impact: Banking's AI future
- 백서 Building a foundation for innovation: Five steps to keep your AML program efficient and effective
- 백서 How AI and Machine Learning Are Redefining Anti-Money Laundering
- 백서 Explainable Artificial Intelligence for Anti-Money Laundering
- 백서 Journey to an integrated balance sheet
- E-BOOK Securing the future: Proactive strategies to combat financial fraud
- 분석 보고서 SAS is a Leader in The Forrester Wave™: Anti-Money Laundering Solutions, Q2 2025
- E-BOOK Future of Intelligent Banking: AI, Risk and Innovation in 2025
- 백서 Risk Modeling and Decisioning White Paper
- 백서 Rethinking risk: Smarter models, better decisions
- 백서 The road to integration
- 백서 Reimagine your financial institution’s customer experience
- 분석 보고서 Chartis RiskTech Quadrant for Model Risk Management, 2024
- 백서 Transforming Risk Management
- 백서 Maintaining Customer Trust with Martech in Small and Medium-Sized Businesses
- E-BOOK 5 Tips for Using GenAI to Improve Customer Experience
- E-BOOK Reimagining risk, modeling, and decisioning
- 분석 보고서 Chartis RiskTech Quadrant Asset and Liability Management, 2024
- 분석 보고서 Chartis RiskTech Quadrant for AML Transaction Monitoring Solutions, 2024
- 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 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
- 백서 Anti-Fraud Technology
- 고객 사례 Specialist bank accelerates digital transformation with cloud migration
- 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 Personalized advertising that you control
- 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
- 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
- 고객 사례 Advanced analytics and machine learning help Poste Italiane identify and stop fraud in real time while enhancing customer experience
- 백서 The Value of Credit Risk Transformations and the Role of AI
- 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
- 기사 Are you good at scoring?
- 기사 Understanding capital requirements in light of Basel IV
- 기사 Top prepaid card fraud scams
- 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
- 백서 Outrunning risk with cloud
- 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
- 백서 From Crisis to Opportunity: Redefining Risk Management
- 백서 Basel IV: The push you needed
- 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
- 기사 Risk data aggregation: Transparency, controls and governance are needed for data quality and reporting
- 백서 Compete and win with better model risk management
- 기사 CECL: Are US banks and credit unions ready?
- 백서 Scenario-Based Risk Management: Overcoming the Challenges
- 기사 Situational awareness guides our responses – routine to crisis
- 백서 Stress Testing 2.0: Better Informed Decisions Through Expanded Scenario-Based Risk Management
- 백서 Building Artificial Intelligence in Credit Risk: A Commercial Lending Perspective
- 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
- 백서 Managing Models and Their Risks
- 백서 Machine Learning Model Governance
- 기사 Under siege: Improving customer experience in banking
- 백서 Seven trends that will transform banking
- 백서 AI Is at the Forefront of Reducing Money Laundering and Combating the Financing of Terrorism
- 기사 AI in banking: Survey reveals factors for success
- 고객 사례 Modernizing consumer lending in Vietnam
- 고객 사례 고급 분석으로 고객 경험 개선
- 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 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
- 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
- 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
- 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
- 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
- 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 Blockchain: What it is and why it matters
- 기사 인사이트 페이지 자금세탁방지 (AML): 개념과 중요성
- 기사 인사이트 페이지 사기 방지: 개념과 중요성
- 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
- 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
- 웨비나 Visualizing the Nesting Dolls: Uncovering Hidden Risk
- 웨비나 2022 Trends in Digital Fraud: ATOs, Scams and Solutions
- 웨비나 Shell game shutdown: Redefining trade transaction monitoring with automation and analytics
- 웨비나 Understanding Your Customer in a Digitized Landscape
- 웨비나 A Contemporary Perspective: Our World at an Accelerated Pace
- 웨비나 Enterprise Fraud and Financial Crimes Compliance: How Banks Need to Adapt
- 웨비나 Cracking the Digital Identity Crisis With Fraud Analytics, AI and ML
- 웨비나 Bridging CECL Models Into Stress Testing
- 웨비나 SAS Identity Series: Building a Business Case for Identity Risk Management
- 웨비나 Alignment: The Harmonic Convergence of Banking CX
- 웨비나 AI and Banking: Survey Reveals Success Factors
-
- 웨비나 The Interplay of Analytics With Strategy, Art and Experience
- 웨비나 Journey to AML Modernization
- 웨비나 SAS Identity Series: Your Identity Risk Management Strategy: From Obstacles to Action
- 웨비나 The Year Ahead: Banking Trends for 2024
- 웨비나 GenAI’s Role in Transforming the Future of Financial Services
- 웨비나 The Importance of a Unified Decisioning Platform for Midmarket Banks
- 웨비나 Generative AI Meets AML: Elevating Compliance Standards in Banking
- 웨비나 Generative AI in Fraud and Financial Crimes
- 웨비나 Catalyzing Banking Innovation With SAS® Viya® on Microsoft Azure
- 웨비나 One Step Ahead: Fight Fraudsters With Cutting-Edge Technology
- 웨비나 Banking Under Siege: Avoiding the Trust and Customer Experience Collision Course
- 웨비나 Navigating Economic Challenges: Building Resilience Through Integrated Risk Management
- 웨비나 Banking Breakdown: The Wider Implications and What to Do Next
- 웨비나 Strengthening Deposits Through Predictive Churn Modeling and Improved Customer Engagement
- 웨비나 Anti-Fraud and Financial Crime Key Trends Pulse Check
-
- 웨비나 5 Tips for Using GenAI to Improve Your Customer Experience
- 웨비나 2025 Trends in Global Banking
- 웨비나 Not All Heroes Wear Capes: How AI and Data Help Stop Money Laundering in the Opioid Crisis
- E-BOOK Customer experience - now and into the future
- E-BOOK Adapting to the New Age of Risk Analytics
- 백서 Data, analytics and machine learning: The new frontier of fraud prevention
- E-BOOK Fearless Decision?
- 백서 AML Modernization
- 백서 Artificial Intelligence in Banking and Risk Management
- E-BOOK Data scientists use SAS Viya on Microsoft Azure to develop big innovations