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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- 電子書 5 Steps to a Unified Enterprise Customer Decisioning Strategy
- 電子書 Your journey to a GenAI future: A strategic path to success in banking
- 電子書 On the Road to Accelerating Claims Automation
- 白皮書 Generative AI in Health Care: Opportunities and Cautions
- 分析報告 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
- 分析報告 Chartis RiskTech100 2024
- 客戶案例 European Banking-as-a-Service leader strengthens its AML/CFT and fraud surveillance system with SAS
- 電子書 Faces of Fraud
- 白皮書 Enforcing Tax Compliance in a Turbulent World
- 文章 4 strategies that will change your approach to fraud detection
- 分析報告 SAS is a Leader in The Forrester Wave™: AI Decisioning Platforms, Q2 2023.
- 客戶案例 Combating financial crime and terrorism financing with real-time sanctions screening
- 分析報告 Chartis RiskTech Quadrant for Enterprise Fraud Solutions, 2023: Vendor Analysis
- 白皮書 Proactive anti-financial crime strategies to improve compliance and reduce risk
- 客戶案例 Stopping payment fraud in real time
- 文章 Know your blind spots in tax fraud prevention
- 白皮書 Next-generation AML
- 文章 Are you covering who you think you’re covering?
- 客戶案例 Advanced analytics and machine learning help Poste Italiane identify and stop fraud in real time while enhancing customer experience
- 白皮書 Banking in 2035: global banking survey report
- 文章 Containing health care costs: Analytics paves the way to payment integrity
- 白皮書 Procurement integrity powered by continuous monitoring
- 分析報告 Celent Insurance Fraud Detection Solutions: Property and Casualty Insurance, 2022 Edition
- 分析報告 Celent: Insurance Fraud Detection Solutions: Health Insurance, 2022 Edition
- 白皮書 Banking in 2035: three possible futures
- 分析報告 SAS is a Leader in The Forrester Wave™: Anti-Money Laundering Solutions, Q3 2022
- 分析報告 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
- 分析報告 Chartis RiskTech Quadrant for Trade-Based AML Solutions 2022
- 客戶案例 Managing mergers and analytics: Ensuring reliable energy by eliminating risk
- 分析報告 Matrix: Leading Fraud & AML Machine Learning Platforms
- 文章 Detect and prevent banking application fraud
- 電子書 The Future of Energy & Utilities: Transform Through Innovation
- 客戶案例 Preventing payment card fraud one transaction at a time
- 文章 Payment fraud evolves fast – can we stay ahead?
- 文章 Unemployment fraud meets analytics: Battle lines are clearly drawn
- 客戶案例 Fighting financial crime through a global anti-money laundering platform
- 文章 Online payment fraud stops here
- 分析報告 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
- 客戶案例 泰國銀行在即時管理詐欺偵測的同時也保護客戶
- 客戶案例 A risk-based approach to combat money laundering in Israel
- 文章 How AI and advanced analytics are impacting the financial services industry
- 白皮書 2021 State of Insurance Fraud Technology Study
- 客戶案例 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
- 白皮書 Detect and Prevent Identity Theft
- 白皮書 Keeping Fraud Detection Software Aligned With the Latest Threats
- 文章 Shut the front door on insurance application fraud!
- 白皮書 Detect and prevent digital banking fraud
- 白皮書 Fighting Insurance Application Fraud
- 客戶案例 Preventing crime and ensuring compliance at 120 Nordic banks
- 白皮書 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
- 白皮書 Managing Fraud Risk in the Digital Age
- 白皮書 Machine Learning Use Cases in Financial Crimes
- 客戶案例 Turkish insurer achieves real-time fraud detection
- 客戶案例 Fast analytical defense
- 文章 What do drones, AI and proactive policing have in common?
- 文章 疫情期間網路交易大增,全面防護金融詐欺犯罪
- 白皮書 Managing the Intelligence Life Cycle
- 文章 How to prevent procurement fraud
- 文章 Improve child welfare through analytics
- 客戶案例 洗錢防制
- 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
- 白皮書 Achieving program integrity for health care cost containment
- 文章 Stop contract and procurement fraud
- 白皮書 Protect the Integrity of the Procurement Function
- 白皮書 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
- 白皮書 Government Procurement Offices
- 文章 When it matters: Safeguarding your organization from the inside
- 白皮書 Fraud in Communications
- 文章 Analytics for prescription drug monitoring: How to better identify opioid abuse
- 白皮書 Data and Analytics to Combat the Opioid Epidemic
- 文章 How to uncover common point of purchase
- 白皮書 Leveraging Analytics to Combat Digital Fraud in Financial Organizations
- 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
- 白皮書 Rethinking customer due diligence
- 白皮書 Balancing Fraud Detection and the Customer Experience
- 白皮書 Fighting the Rising Tide of Medicaid Fraud
- 白皮書 Data-Driven Performance
- 電子書 Protecting the Payments
- 白皮書 How Public Sector Agencies Can Use Analytics to Lead Through Crisis
- 白皮書 Fraudsters love digital
- 白皮書 The Escalation of Digital Fraud
- 電子書 Fight money laundering with these 5 next-gen game changers from SAS
- 白皮書 AML Modernization
- 白皮書 Value and Opportunity: An Executive Guide to Procurement Integrity
- 白皮書 What Lies Beneath
- 白皮書 Payments Without Borders
- 白皮書 How AI and Machine Learning Are Redefining Anti-Money Laundering
- 電子書 High velocity decisions. Trusted outcomes.
- 白皮書 Data, analytics and machine learning: The new frontier of fraud prevention
- 白皮書 Anti-Fraud Technology
- 白皮書 AI Is at the Forefront of Reducing Money Laundering and Combating the Financing of Terrorism
- 白皮書 Top Trends: Why Tax Administrators Are Adopting New Data and Analytics Strategies
- 白皮書 Safer communities, trusted law enforcement
- 客戶案例 Fighting loan application fraud with cutting-edge analytics
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