SAS IS A CATEGORY LEADER
Chartis RiskTech Quadrant® for Enterprise Fraud and Payment Fraud Solutions, 2024
Leadership status reflects a deep expertise and focus across the fraud life cycle.
SAS's ability to scale and customize across the full fraud cycle stems first and foremost from the power of its end-to-end enterprise platform. This enables the use of advanced fraud detection and analytical techniques that operate across enterprise and payment fraud.
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- 분석 보고서 Chartis RiskTech Quadrant for AML Transaction Monitoring Solutions, 2024
- 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 RiskTech Quadrant for Watchlist and Adverse Media Monitoring 2024
- 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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