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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- E-BOOK Public procurement integrity at risk
- E-BOOK 5 Steps to a Unified Enterprise Customer Decisioning Strategy
- E-BOOK Your journey to a GenAI future: A strategic path to success in banking
- E-BOOK On the Road to Accelerating Claims Automation
- 고객 사례 Revolutionizing fraud detection at Techcombank
- 백서 Generative AI in Health Care: Opportunities and Cautions
- 분석 보고서 SAS is a Leader in The Forrester Wave™: Enterprise Fraud Management, Q2 2024
- 기사 6 ways big data analytics can improve insurance claims data processing
- 분석 보고서 Chartis RiskTech100 2024
- 고객 사례 European Banking-as-a-Service leader strengthens its AML/CFT and fraud surveillance system with SAS
- E-BOOK Faces of Fraud
- 백서 Enforcing Tax Compliance in a Turbulent World
- 기사 4 strategies that will change your approach to fraud detection
- 분석 보고서 SAS is a Leader in The Forrester Wave™: AI Decisioning Platforms, Q2 2023.
- 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
- 백서 Proactive anti-financial crime strategies to improve compliance and reduce risk
- 고객 사례 Stopping payment fraud in real time
- 기사 Know your blind spots in tax fraud prevention
- 백서 Next-generation AML
- 기사 Are you covering who you think you’re covering?
- 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
- 기사 Containing health care costs: Analytics paves the way to payment integrity
- 백서 Procurement integrity powered by continuous monitoring
- 분석 보고서 Celent Insurance Fraud Detection Solutions: Property and Casualty Insurance, 2022 Edition
- 분석 보고서 Celent: Insurance Fraud Detection Solutions: Health Insurance, 2022 Edition
- 백서 Banking in 2035: three possible futures
- 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 Analytics: A must-have tool for leading the fight on prescription and illicit drug addiction
- 기사 Top prepaid card fraud scams
- 분석 보고서 Chartis RiskTech Quadrant for Trade-Based AML Solutions 2022
- 고객 사례 Managing mergers and analytics: Ensuring reliable energy by eliminating risk
- 분석 보고서 Matrix: Leading Fraud & AML Machine Learning Platforms
- 기사 Detect and prevent banking application fraud
- E-BOOK The Future of Energy & Utilities: Transform Through Innovation
- 기사 Payment fraud evolves fast – can we stay ahead?
- 기사 Unemployment fraud meets analytics: Battle lines are clearly drawn
- 고객 사례 Fighting financial crime through a global anti-money laundering platform
- 기사 Online payment fraud stops here
- 분석 보고서 Matrix: Payment Integrity In Healthcare
- 기사 Continuous monitoring: Stop procurement fraud, waste and abuse now
- 기사 Managing fraud risk: 10 trends you need to watch
- 고객 사례 자금세탁 범죄에 맞서는 이스라엘의 위험 기반 전략
- 기사 Next generation anti-money laundering: robotics, semantic analysis and AI
- 기사 How AI and advanced analytics are impacting the financial services industry
- 백서 2021 State of Insurance Fraud Technology Study
- 고객 사례 Advanced analytics can detect and prevent insurance fraud before losses occur
- 기사 The best gift you can give to thieves this holiday season? Your identity.
- 기사 Applying technology to ensure voter integrity in elections
- 백서 Detect and Prevent Identity Theft
- 백서 Keeping Fraud Detection Software Aligned With the Latest Threats
- 기사 Shut the front door on insurance application fraud!
- 백서 Detect and prevent digital banking fraud
- 백서 Fighting Insurance Application Fraud
- 고객 사례 북유럽 120개 은행의 범죄 예방 및 규정 준수
- 백서 Using Modern Analytics to Save Government Programs Millions
- 기사 Medicaid and benefit fraud in 2018 and beyond
- 기사 Strengthen your payment fraud defenses with stronger authentication
- 백서 Managing Fraud Risk in the Digital Age
- 백서 Machine Learning Use Cases in Financial Crimes
- 고객 사례 Turkish insurer achieves real-time fraud detection
- 고객 사례 Fast analytical defense
- 기사 What do drones, AI and proactive policing have in common?
- 백서 Managing the Intelligence Life Cycle
- 기사 How to prevent procurement fraud
- 기사 Improve child welfare through analytics
- 고객 사례 자금세탁 방지 활동을 지원하는 분석 기술
- 기사 Fraud detection and machine learning: What you need to know
- 기사 Uncover hidden financial crime risk
- 기사 Proactive detection – A new approach to counter terror
- 기사 Health care cost containment through big data analytics
- 백서 Achieving program integrity for health care cost containment
- 기사 Stop contract and procurement fraud
- 백서 Protect the Integrity of the Procurement Function
- 백서 Effective fraud analytics: 10 steps to detect and prevent insurance fraud
- 기사 5 steps to sustainable GDPR compliance
- 기사 Detecting health care claims fraud
- 기사 Taking pre-emptive action to stem the tide of VAT fraud losses
- 고객 사례 Protecting policyholders through better fraud analysis
- 백서 Government Procurement Offices
- 기사 When it matters: Safeguarding your organization from the inside
- 백서 Fraud in Communications
- 기사 How can analytics change the world of 'Narcos'?
- 기사 Analytics for prescription drug monitoring: How to better identify opioid abuse
- 백서 Data and Analytics to Combat the Opioid Epidemic
- 기사 How to uncover common point of purchase
- 백서 Leveraging Analytics to Combat Digital Fraud in Financial Organizations
- 기사 Small-time cheats and organized crime: Benefits fraud re-examined
- 기사 Online fraud: Increased threats in a real-time world
- 기사 Putting an end to pay and chase
- 기사 Mobile payments, smurfs and emerging threats
- 기사 Rethink customer due diligence
- 백서 Rethinking customer due diligence
- 기사 Tackling the new terrorist threat
- 백서 Balancing Fraud Detection and the Customer Experience
- 백서 Fighting the Rising Tide of Medicaid Fraud
- 백서 Data-Driven Performance
- E-BOOK Protecting the Payments
- 백서 How Public Sector Agencies Can Use Analytics to Lead Through Crisis
- 백서 Fraudsters love digital
- 백서 The Escalation of Digital Fraud
- E-BOOK Fight money laundering with these 5 next-gen game changers from SAS
- 백서 AML Modernization
- 백서 Value and Opportunity: An Executive Guide to Procurement Integrity
- 백서 What Lies Beneath
- 백서 Payments Without Borders
- 백서 How AI and Machine Learning Are Redefining Anti-Money Laundering
- E-BOOK High velocity decisions. Trusted outcomes.
- 백서 Data, analytics and machine learning: The new frontier of fraud prevention
- 백서 Anti-Fraud Technology
- 백서 AI Is at the Forefront of Reducing Money Laundering and Combating the Financing of Terrorism
- 백서 Top Trends: Why Tax Administrators Are Adopting New Data and Analytics Strategies
- 백서 Safer communities, trusted law enforcement
- 고객 사례 Fighting loan application fraud with cutting-edge analytics
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