SAS is a Leader in The Forrester Wave™: Enterprise Fraud Management, Q2 2024
As noted in the Forrester evaluation, "SAS provides a broad selection of out-of-the-box EFM machine learning models. The vendor's EFM vision and product roadmap are first-rate and include not only transaction monitoring but also cyber (online) fraud management."
SAS’s productized, out-of-the-box supervised and unsupervised machine learning models for banking transaction monitoring are ahead of the competition and require less effort to train than those of competitors. Analyst investigation screens are intuitive and customizable. Reporting is versatile, visually pleasing, and easy to configure."
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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 -
分析报告
Chartis RiskTech Quadrant for Watchlist and Adverse Media Monitoring 2024 -
电子书
On the Road to Accelerating Claims Automation -
客户案例
Revolutionizing fraud detection at Techcombank -
分析报告
SAS is a Leader in The Forrester Wave™: AI Decisioning Platforms, Q2 2023. -
白皮书
What Lies Beneath -
白皮书
Generative AI in Health Care: Opportunities and Cautions -
客户案例
Advanced analytics and machine learning help Poste Italiane identify and stop fraud in real time while enhancing customer experience -
客户案例
Protecting policyholders through better fraud analysis -
文章
6 ways big data analytics can improve insurance claims data processing -
文章
Containing health care costs: Analytics paves the way to payment integrity -
文章
Know your blind spots in tax fraud prevention -
客户案例
Fast analytical defense -
客户案例
助力120家北欧银行预防犯罪并合规 -
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
Putting an end to pay and chase -
客户案例
Fighting loan application fraud with cutting-edge analytics -
客户案例
European Banking-as-a-Service leader strengthens its AML/CFT and fraud surveillance system with SAS -
客户案例
Combating financial crime and terrorism financing with real-time sanctions screening -
分析报告
Chartis RiskTech Quadrant for Trade-Based AML Solutions 2022 -
分析报告
Chartis RiskTech100 2024 -
客户案例
Managing mergers and analytics: Ensuring reliable energy by eliminating risk -
分析报告
SAS is a Leader in The Forrester Wave™: Anti-Money Laundering Solutions, Q3 2022 -
电子书
Protecting the Payments -
白皮书
Effective fraud analytics: 10 steps to detect and prevent insurance fraud -
电子书
Faces of Fraud -
白皮书
Protect the Integrity of the Procurement Function -
文章
When it matters: Safeguarding your organization from the inside -
分析报告
IDC MarketScape: Worldwide Responsible Artificial Intelligence for Integrated Financial Crime Management Platforms 2022 Vendor Assessment -
白皮书
Using Modern Analytics to Save Government Programs Millions -
文章
5 steps to sustainable GDPR compliance -
分析报告
Chartis RiskTech Quadrant for Enterprise Fraud Solutions, 2023: Vendor Analysis -
白皮书
Managing Fraud Risk in the Digital Age -
白皮书
Enforcing Tax Compliance in a Turbulent World -
文章
Continuous monitoring: Stop procurement fraud, waste and abuse now -
分析报告
Matrix: Leading Fraud & AML Machine Learning Platforms -
分析报告
Matrix: Payment Integrity In Healthcare -
白皮书
Machine Learning Use Cases in Financial Crimes -
白皮书
Keeping Fraud Detection Software Aligned With the Latest Threats -
文章
Analytics: A must-have tool for leading the fight on prescription and illicit drug addiction -
文章
4 strategies that will change your approach to fraud detection -
文章
Unemployment fraud meets analytics: Battle lines are clearly drawn -
白皮书
Fighting Insurance Application Fraud -
文章
构筑反在线支付欺诈防线 -
文章
Analytics for prescription drug monitoring: How to better identify opioid abuse -
白皮书
Data and Analytics to Combat the Opioid Epidemic -
文章
Online fraud: Increased threats in a real-time world -
白皮书
Leveraging Analytics to Combat Digital Fraud in Financial Organizations -
白皮书
Proactive anti-financial crime strategies to improve compliance and reduce risk -
白皮书
Achieving program integrity for health care cost containment -
文章
How to prevent procurement fraud -
白皮书
Government Procurement Offices -
白皮书
Fraud in Communications -
客户案例
A risk-based approach to combat money laundering in Israel -
白皮书
Rethinking customer due diligence -
白皮书
2021 State of Insurance Fraud Technology Study -
白皮书
Detect and prevent digital banking fraud -
文章
Detect and prevent banking application fraud -
白皮书
Next-generation AML -
文章
Are you covering who you think you’re covering? -
分析报告
Celent: Insurance Fraud Detection Solutions: Health Insurance, 2022 Edition -
分析报告
Celent Insurance Fraud Detection Solutions: Property and Casualty Insurance, 2022 Edition -
白皮书
Banking in 2035: global banking survey report -
文章
Top prepaid card fraud scams -
文章
Improve child welfare through analytics -
白皮书
Procurement integrity powered by continuous monitoring -
白皮书
Banking in 2035: three possible futures -
白皮书
AML Modernization -
电子书
The Future of Energy & Utilities: Transform Through Innovation -
白皮书
Data-Driven Performance -
白皮书
Fighting the Rising Tide of Medicaid Fraud -
白皮书
Fraudsters love digital -
白皮书
Data, analytics and machine learning: The new frontier of fraud prevention -
白皮书
Anti-Fraud Technology -
白皮书
Value and Opportunity: An Executive Guide to Procurement Integrity -
电子书
Fight money laundering with these 5 next-gen game changers from SAS -
电子书
High velocity decisions. Trusted outcomes. -
白皮书
Top Trends: Why Tax Administrators Are Adopting New Data and Analytics Strategies -
白皮书
Payments Without Borders -
白皮书
The Escalation of Digital Fraud -
白皮书
Safer communities, trusted law enforcement -
白皮书
How Public Sector Agencies Can Use Analytics to Lead Through Crisis -
白皮书
How AI and Machine Learning Are Redefining Anti-Money Laundering -
白皮书
Managing the Intelligence Life Cycle -
白皮书
Balancing Fraud Detection and the Customer Experience -
白皮书
AI Is at the Forefront of Reducing Money Laundering and Combating the Financing of Terrorism -
白皮书
Detect and Prevent Identity Theft -
文章
Payment fraud evolves fast – can we stay ahead? -
文章
The best gift you can give to thieves this holiday season? Your identity. -
文章
Shut the front door on insurance application fraud! -
文章
Strengthen your payment fraud defenses with stronger authentication -
文章
Fraud detection and machine learning: What you need to know -
文章
Health care cost containment through big data analytics -
文章
Managing fraud risk: 10 trends you need to watch -
客户案例
Turkish insurer achieves real-time fraud detection -
客户案例
Advanced analytics can detect and prevent insurance fraud before losses occur -
客户案例
Fighting financial crime through a global anti-money laundering platform -
客户案例 fluvius uses sas procurement cockpit
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文章
Taking pre-emptive action to stem the tide of VAT fraud losses -
文章
Mobile payments, smurfs and emerging threats -
文章
Stop contract and procurement fraud -
文章
Medicaid and benefit fraud in 2018 and beyond -
文章
Applying technology to ensure voter integrity in elections -
文章
Rethink customer due diligence -
文章
Detecting health care claims fraud -
文章
如何发现共同购买点 -
文章
Uncover hidden financial crime risk -
文章
Proactive detection – A new approach to counter terror -
文章
How AI and advanced analytics are impacting the financial services industry -
文章
What do drones, AI and proactive policing have in common? -
客户案例
分析助力反洗钱工作 -
文章
Next generation anti-money laundering: robotics, semantic analysis and AI -
文章
How can analytics change the world of 'Narcos'? -
文章
Small-time cheats and organized crime: Benefits fraud re-examined
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