SAS’ category leader position in our Name and Transaction Screening quadrant owes much to its ability to screen significant volumes with speed and accuracy – vital in the increasingly complex and dynamic watchlist space – combined with innovative technology to enable the effective and efficient management of throughput,’ said Nick Vitchev, Research Director at Chartis. ‘Moreover, SAS’ strength in platform and analytics delivers significant impact via a number of channels, including machine learning and entity network generation."
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- 分析报告 Chartis RiskTech Quadrant for AML Transaction Monitoring Solutions, 2024
- 电子书 Public procurement integrity at risk
- 电子书 5 Steps to a Unified Enterprise Customer Decisioning Strategy
- 电子书 Your journey to a GenAI future: A strategic path to success in banking
- 电子书 On the Road to Accelerating Claims Automation
- 客户案例 Revolutionizing fraud detection at Techcombank
- 白皮书 Generative AI in Health Care: Opportunities and Cautions
- 分析报告 SAS is a Leader in The Forrester Wave™: Enterprise Fraud Management, Q2 2024
- 文章 6 ways big data analytics can improve insurance claims data processing
- 分析报告 Chartis RiskTech100 2024
- 客户案例 European Banking-as-a-Service leader strengthens its AML/CFT and fraud surveillance system with SAS
- 电子书 Faces of Fraud
- 白皮书 Enforcing Tax Compliance in a Turbulent World
- 文章 4 strategies that will change your approach to fraud detection
- 分析报告 SAS is a Leader in The Forrester Wave™: AI Decisioning Platforms, Q2 2023.
- 客户案例 Combating financial crime and terrorism financing with real-time sanctions screening
- 分析报告 Chartis RiskTech Quadrant for Enterprise Fraud Solutions, 2023: Vendor Analysis
- 文章 构筑反在线支付欺诈防线
- 白皮书 Proactive anti-financial crime strategies to improve compliance and reduce risk
- 客户案例 东亚银行使用SAS®欺诈管理解决方案侦测和阻断支付欺诈
- 文章 Know your blind spots in tax fraud prevention
- 白皮书 Next-generation AML
- 文章 Are you covering who you think you’re covering?
- 客户案例 Advanced analytics and machine learning help Poste Italiane identify and stop fraud in real time while enhancing customer experience
- 白皮书 Banking in 2035: global banking survey report
- 文章 Containing health care costs: Analytics paves the way to payment integrity
- 白皮书 Procurement integrity powered by continuous monitoring
- 分析报告 Celent Insurance Fraud Detection Solutions: Property and Casualty Insurance, 2022 Edition
- 分析报告 Celent: Insurance Fraud Detection Solutions: Health Insurance, 2022 Edition
- 白皮书 Banking in 2035: three possible futures
- 分析报告 SAS is a Leader in The Forrester Wave™: Anti-Money Laundering Solutions, Q3 2022
- 分析报告 IDC MarketScape: Worldwide Responsible Artificial Intelligence for Integrated Financial Crime Management Platforms 2022 Vendor Assessment
- 文章 Analytics: A must-have tool for leading the fight on prescription and illicit drug addiction
- 文章 Top prepaid card fraud scams
- 分析报告 Chartis RiskTech Quadrant for Trade-Based AML Solutions 2022
- 客户案例 Managing mergers and analytics: Ensuring reliable energy by eliminating risk
- 分析报告 Matrix: Leading Fraud & AML Machine Learning Platforms
- 文章 Detect and prevent banking application fraud
- 电子书 The Future of Energy & Utilities: Transform Through Innovation
- 文章 Payment fraud evolves fast – can we stay ahead?
- 文章 Unemployment fraud meets analytics: Battle lines are clearly drawn
- 客户案例 Fighting financial crime through a global anti-money laundering platform
- 分析报告 Matrix: Payment Integrity In Healthcare
- 文章 Continuous monitoring: Stop procurement fraud, waste and abuse now
- 文章 Managing fraud risk: 10 trends you need to watch
- 客户案例 A risk-based approach to combat money laundering in Israel
- 文章 Next generation anti-money laundering: robotics, semantic analysis and AI
- 文章 How AI and advanced analytics are impacting the financial services industry
- 白皮书 2021 State of Insurance Fraud Technology Study
- 客户案例 Advanced analytics can detect and prevent insurance fraud before losses occur
- 文章 The best gift you can give to thieves this holiday season? Your identity.
- 文章 Applying technology to ensure voter integrity in elections
- 白皮书 Detect and Prevent Identity Theft
- 白皮书 Keeping Fraud Detection Software Aligned With the Latest Threats
- 文章 Shut the front door on insurance application fraud!
- 白皮书 Detect and prevent digital banking fraud
- 白皮书 Fighting Insurance Application Fraud
- 客户案例 助力120家北欧银行预防犯罪并合规
- 白皮书 Using Modern Analytics to Save Government Programs Millions
- 文章 Medicaid and benefit fraud in 2018 and beyond
- 文章 Strengthen your payment fraud defenses with stronger authentication
- 白皮书 Managing Fraud Risk in the Digital Age
- 白皮书 Machine Learning Use Cases in Financial Crimes
- 客户案例 Turkish insurer achieves real-time fraud detection
- 客户案例 Fast analytical defense
- 文章 What do drones, AI and proactive policing have in common?
- 白皮书 Managing the Intelligence Life Cycle
- 文章 How to prevent procurement fraud
- 文章 Improve child welfare through analytics
- 客户案例 分析助力反洗钱工作
- 文章 Fraud detection and machine learning: What you need to know
- 文章 Uncover hidden financial crime risk
- 文章 Proactive detection – A new approach to counter terror
- 文章 Health care cost containment through big data analytics
- 白皮书 Achieving program integrity for health care cost containment
- 文章 Stop contract and procurement fraud
- 白皮书 Protect the Integrity of the Procurement Function
- 白皮书 Effective fraud analytics: 10 steps to detect and prevent insurance fraud
- 文章 5 steps to sustainable GDPR compliance
- 文章 Detecting health care claims fraud
- 文章 Taking pre-emptive action to stem the tide of VAT fraud losses
- 文章 如何发现共同购买点
- 客户案例 Protecting policyholders through better fraud analysis
- 白皮书 Government Procurement Offices
- 文章 When it matters: Safeguarding your organization from the inside
- 白皮书 Fraud in Communications
- 文章 How can analytics change the world of 'Narcos'?
- 文章 Analytics for prescription drug monitoring: How to better identify opioid abuse
- 白皮书 Data and Analytics to Combat the Opioid Epidemic
- 白皮书 Leveraging Analytics to Combat Digital Fraud in Financial Organizations
- 文章 Small-time cheats and organized crime: Benefits fraud re-examined
- 文章 Online fraud: Increased threats in a real-time world
- 文章 Putting an end to pay and chase
- 文章 Mobile payments, smurfs and emerging threats
- 文章 Rethink customer due diligence
- 白皮书 Rethinking customer due diligence
- 白皮书 Balancing Fraud Detection and the Customer Experience
- 白皮书 Fighting the Rising Tide of Medicaid Fraud
- 白皮书 Data-Driven Performance
- 电子书 Protecting the Payments
- 白皮书 How Public Sector Agencies Can Use Analytics to Lead Through Crisis
- 白皮书 Fraudsters love digital
- 白皮书 The Escalation of Digital Fraud
- 电子书 Fight money laundering with these 5 next-gen game changers from SAS
- 白皮书 AML Modernization
- 白皮书 Value and Opportunity: An Executive Guide to Procurement Integrity
- 白皮书 What Lies Beneath
- 白皮书 Payments Without Borders
- 白皮书 How AI and Machine Learning Are Redefining Anti-Money Laundering
- 电子书 High velocity decisions. Trusted outcomes.
- 白皮书 Data, analytics and machine learning: The new frontier of fraud prevention
- 白皮书 Anti-Fraud Technology
- 白皮书 AI Is at the Forefront of Reducing Money Laundering and Combating the Financing of Terrorism
- 白皮书 Top Trends: Why Tax Administrators Are Adopting New Data and Analytics Strategies
- 白皮书 Safer communities, trusted law enforcement
- 客户案例 Fighting loan application fraud with cutting-edge analytics
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