SAS IS A LEADER
The Forrester Wave™: Anti-Money Laundering Solutions, Q2 2025
As noted by Forrester, the recent acquisition of Hazy synthetic data software is expected to accelerate the adoption of large data models and other GenAI techniques in SAS’ Financial Crime Compliance portfolio.
The solution is a great fit for enterprises with existing SAS and data science skills that require cutting-edge, AI/ML risk-scoring strategies for highly efficient AML processes. The vendor offers a strong framework for quantifying the ROI of its AML solution for its potential and existing customers.![]()
Explore More SAS Resources
To browse resources by type, select an option below.
-
- Select resource type
- 〓分析◆アナリスト・〓レポート
- e-Book
- ホワイトペーパー
- ホワイトペーパー
- 記事
- ブログ記事
- 書籍の抜粋
- ケーススタディ
- インフォグラフィック
- インタビュー
- 研究
- シリーズ
- ビデオ
- ウェビナー
- ユーザー事例
- ウェビナー Top 5 Global Fraud Trends for 2026: What Public Sector Leaders Need to KnowDescription
- 〓分析◆アナリスト・〓レポート Chartis RiskTech AI 50, 2025SAS holds a strong third place overall in the world's foremost ranking of the Top 100 risk management and compliance technology providers. SAS also bested two technology award categories – Responsible AI Adoption and Use of AI in Retail Banking.
- ホワイトペーパー Seven trends that will transform bankingAdvanced analytics and big data are enabling smarter decisions and more efficient processes, from credit to compliance and risk management.
- ウェビナー From Data to Insights: Leveraging SAS Visual Investigator Scenarios For Anomaly DetectionJoin this webinar to learn how to use SAS Visual Investigator to identify suspicious anomalies in data.
- ユーザー事例 リアルタイムの制裁スクリーニングにより、金融犯罪やテロ資金供与に対抗Orange Bankは、SASとNeteriumによるクラウドベースの制裁スクリーニング・ソリューションで、新たなリスクや変化する規制の一歩先を進んでいます。
- ウェビナー The Sector Series | Game Changing AI Technology for Governments: An Introduction to Artificial and Generative Intelligence for Public Sector LeadersJoin us as we explore real-world examples, key insights and what the future holds for GenAI in AML compliance.
- e-Book On the Road to Accelerating Claims AutomationMore than ever, insurance companies need to provide customers with seamless interactions that save them time, minimize hassle, and make them feel seen, understood, and cared for. Many are also exploring the use of AI for claims prevention – for example, by creating new risk mitigation services. All of this requires investment in digital technologies that work together to enable intuitive, Amazon-like customer experiences. This ebook explores how insurers can make the leap to digitally transformed, intelligent claims processes that customers love and increase operational efficiency and reduce costs.
- ウェビナー Journey to AML ModernizationEmbracing new technology and innovation around anti-money laundering programs offers financial institutions the opportunity to outpace financial crime.
- ホワイトペーパー What Lies BeneathThe prevalence of and approaches to procurement fraud in global business.
- 〓分析◆アナリスト・〓レポート Chartis RiskTech Quadrant® for ALM Solutions, 2025SAS is a category leader in the Chartis RiskTech Quadrant for asset and liability management.
- ウェビナー Fraud Fingerprints in Your DataFraud, waste and abuse (FWA) is on the rise in health care. Join us and learn more about how to stem the growing tide of cases.
- ホワイトペーパー Artificial Intelligence for ExecutivesThis paper outlines the SAS approach to AI and explains key concepts. It also provides process and implementation tips if you are considering adding AI technologies to your business and analytical strategies.
- ウェビナー Catch a Fraudster: Finding the Needle in the Haystack With AILearn how Prime Therapeutics, the pharmacy benefit manager that Fast Company named among the world’s most innovative companies for 2020, uses SAS® AI to fight fraud, waste and abuse.
- 〓分析◆アナリスト・〓レポート Chartis RiskTech Quadrant for AML Transaction Monitoring Solutions, 2024SAS is a category leader in Chartis' RiskTech Quadrant for AML Transaction Monitoring Solutions, 2024. According to Chartis, SAS' AML transaction monitoring solutions emphasize speed, volume and performance.
- ホワイトペーパー Data and Analytics to Combat the Opioid EpidemicThis research brief from the International Institute for Analytics and SAS explores how data and predictive analytics can help develop better treatment protocols, both for initial pain and for remediation when patients become dependent on the drugs.
- ホワイトペーパー Scenario-Based Risk Management: Overcoming the ChallengesAs regulatory stress test regimes mature, financial institutions are looking for ways to harness investments they made in stress testing programs to gain additional business value.
- 〓分析◆アナリスト・〓レポート SASは、The Forrester Wave™: AI Decisioning Platforms、2023年第2四半期のリーダーと評価The Forrester Wave™: AI Decisioning Platforms(2023年第2四半期)は、意思決定のための世界トップクラスのアナリティクスをシームレスに統合しているSASを評価しています。
- ホワイトペーパー Climate Stress Testing Methodologies for BanksClimate risk stress testing is evolving fast. This UNEP FI report surveys 20+ global banks to benchmark practices, identify gaps and guide institutions on modeling, governance and regulatory readiness for a resilient future.
-
ウェビナー Fraud Trends to Watch As banks modernize and compete for customers, fraud remains a significant challenge. Effective fraud prevention is essential for winning customers and growing profitably. Join our webinar to explore key data and trends, including how fraud mitigation has become a top investment priority.
- ホワイトペーパー Fraud in CommunicationsIn a digital world where everything is available via the web, there’s a whole new level of fraud. Today’s communications providers must be vigilant. This white paper explains how organizations can implement the tools and methods to detect and combat emerging fraud methods.
- 記事 プロアクティブな検知 – テロ対策の新たなアプローチテロ対策に取り組む金融機関の調査チームが「プロアクティブな検知」という斬新なアプローチを採用し、既存のデータをより有効に活用できる業務環境を構築するためのステップとは?
- e-Book Adapting to the New Age of Risk AnalyticsRapid advancements in technology are leading to a new age of risk analytics. The availability of commercial and open source software – coupled with significantly improved integration using industry standard tools – has made analytics more user friendly, expanding its reach to a broader range of business professionals.
- 〓分析◆アナリスト・〓レポート Chartis RiskTech Quadrant for Watchlist and Adverse Media Monitoring, 2024SAS is a category leader in the RiskTech Quadrant for Name and Transaction Screening Solutions within the Watchlist and Adverse Media Monitoring Solutions, 2024 report.
- ホワイトペーパー Machine Learning Model GovernanceBanks are rapidly expanding their use of machine learning-enabled (ML) models, because they can provide step-level improvements in accuracy. But ML models need even more rigorous governance than traditional models. This paper explores what's required to implement effective ML model governance.
- 〓分析◆アナリスト・〓レポート Chartis RiskTech Quadrant for Model Risk Management, 2024Chartis names SAS a leader in both Model Risk Governance and Model Validation, 2024.
- ホワイトペーパー Next-generation AMLSix tips to modernize your fight against money laundering.
- ウェビナー Real-Time Watchlist Screening: Unlocking Efficiency and Compliance With SAS and NeteriumTransform compliance with AI-powered, real-time watchlist screening that keeps pace with evolving risks.
- ウェビナー The New World of Value-Based Payments: Fighting Fraud With AnalyticsJoin SAS expert Tom Wriggins as we explore the top fraud fighting tactics to combat fraud, waste and abuse in our newly emerging world of performance/value models.
- e-Book The Future of Energy & Utilities: Transform Through InnovationThe Energy & Utilities sector is on a countdown to reinvention. The surge in demand for advanced technology, smart cities and electric mobility is converging with the need for renewable energy sources and sustainability.
- ウェビナー GenAI’s Role in Transforming the Future of Financial ServicesHow generative AI is benefitting financial institutions today and where it may lead in the future
- ウェビナー How Can I Save Time and Build Trust With My Data Preparation?Learn how to use AI and machine learning to save time and build trust in your data preparation techniques.
- ウェビナー Shell game shutdown: Redefining trade transaction monitoring with automation and analyticsLearn how and why financial institutions need to digitally transform decision processes to reduce the rising cost of trade finance compliance.
- ウェビナー Understanding Your Customer in a Digitized LandscapeExperts from SAS and Javelin Strategy & Research discuss the pandemic-driven increase in digital banking and its effects on the fraud landscape and the customer experience.
- ホワイトペーパー Modernizing Asset Liability ManagementChanging priorities in ALM technology, data and analytics.
- ホワイトペーパー CECL: Don't Neglect the FundamentalsFirms that proactively implement a CECL process that is controlled, efficient, collaborative and sustainable will find themselves with a competitive advantage over time. This paper discusses the long-term benefits of this holistic approach.
- ホワイトペーパー Decision science: From automation to optimizationThis Risk.net white paper explores decision science and automation and the efficiencies it brings, and offers insight into why automation – married with adaptable analytics – is now crucial.
- 記事 消費者信用業界におけるDX成功の鍵クレジットカード・信販・消費者金融業界の課題を解決するSASの包括的なソリューションをご紹介します。
- e-Book Fearless Decision? The most successful banks of the future will be those who can see their customers as individuals, appreciate their unique journeys and make decisions accordingly — across all associated business functions.
- 記事 モデルリスク管理:規制対応と事業持続性の生命線多くの金融機関は、モデルリスク管理が規制遵守に留まらず、事業持続性のための極めて重要な業務機能であることに気づいています。
- ウェビナー Empowering Government Efficiency with SAS Managed Cloud Services on Microsoft Azure GovernmentHear how government agencies like yours are using SAS® Viya® and SAS Managed Cloud Services to improve safety, optimize resources and deliver better outcomes.
- e-Book 5 Tips for Using GenAI to Improve Customer Experience Imagine predicting customer needs, automating tasks and generating personalized content — all while improving your bottom line. Generative AI is reshaping how businesses use data, enabling smarter decisions and streamlined operations. This guide offers actionable advice on how to harness GenAI's full potential, covering key tips for data management, governance and transparency. Ready to transform your business? Download the e-book now to discover how SAS and AWS can help you harness the power of GenAI.
- ホワイトペーパー Protect the Integrity of the Procurement FunctionProcurement fraud affects nearly one-third of organizations, and it is often perpetrated by the most trusted, longtime employees, the ones you’d least suspect. Learn from two white-collar crime specialists about common flavors of procurement fraud, striking examples from recent headlines, four fundamental ways to get better at detecting and preventing fraud, and how to take procurement integrity to the next level.
- ホワイトペーパー AI-powered solutions for a trillion-dollar problemWhite paper
- ウェビナー The Sector Series | Game Changing AI Technology for Governments: Computer VisionGain the confidence to engage in conversations about AI and lead responsibly in this rapidly changing landscape.
- ウェビナー Demystifying Generative AI: The Good, the Bad and the PracticalLearn about realistic use cases for GenAI in health care and how to prepare for risks to payment integrity
- 記事 データ・ビジュアライゼーション(視覚化)の活用により犯罪取締を強化する方法市民は警察が現在も、TVニュース、新聞、ラジオという従来型のメディアソースに大きく依存していると確信しています。とはいえソーシャルメディアについては、アンケート回答者の警察が従来の捜査で頼りにしてきたのはデータを直接(統計数値として)把握する手法ですが、ビジュアル・アナリティクスは、データに潜む複雑な関係性を理解するのに役立ちます。
- ホワイトペーパー How AI and Machine Learning Are Redefining Anti-Money LaunderingMachine learning can play a big role in the defense against money laundering, either to automate tasks that formerly required human intervention, such as managing the data to train models, or detect more financial crimes risk that rules and more basic analytic techniques might miss.
- ウェビナー Strengthening Deposits Through Predictive Churn Modeling and Improved Customer EngagementJoin us as we explore how financial institutions can improve deposits and deepen customer relationships by moving from reactive to proactive models of engagement.
- 記事 持続可能なGDPRコンプライアンス体制の実現に向けた5つのステップ本稿で説明するステップに従えば、2018年5月の発効日までにGDPRコンプライアンスを達成した上で、追加のメリットも実現することができます。
- ウェビナー Identity Theft – Who’s Who in Health Care Health care identity theft is on the rise and becoming a core component of health care fraud. Join us and learn more about how to stem the growing tide of cases.
- 記事 金融機関と政府の包括的な金融犯罪対策を支援
- ウェビナー Tax Administration: Top Trends for 2022The world of tax administration is changing. Learn about the latest trends in tax administration and how best to prepare.
-
ウェビナー Reinforcing Compliance Programs: Future-Proofing with SASWith regulators ramping up oversight and traditional systems struggling to keep pace, it’s time to transform your approach to compliance.
- ホワイトペーパー Explainable Artificial Intelligence for Anti-Money LaunderingAn automated AML system should catch suspicious activity and be able to explain why it did so in a way that’s satisfactory to regulators. While machine learning techniques promise significant innovations for anti-money laundering efforts, they’re contained in "black boxes." This is hard to justify to regulators, and many financial institutions hesitate to invest in the technology for their AML programs. This paper takes a deep dive into how you can use explainable artificial intelligence (XAI) techniques to overcome this obstacle.
- ウェビナー Banking Under Siege: Avoiding the Trust and Customer Experience Collision CourseLearn why protecting data privacy is critical to earning customers’ trust – and what banks must do to meet the latest regulations.
- ウェビナー Anti-Fraud and Financial Crime Key Trends Pulse CheckJoin us for this midyear pulse check as we discuss emerging threats and the most effective ways to combat them.
- ホワイトペーパー How Public Sector Agencies Can Use Analytics to Lead Through CrisisWhen public service leaders need to make vital decisions quickly – to guide people through a crisis and save lives – data analytics is essential.
- ホワイトペーパー Designing the Infrastructure for Credit Risk Model DevelopmentExplore the most common problems organizations face when setting up infrastructure for analytics – and credit risk modeling specifically – and learn about ways to increase productivity and reduce problems through better planning and design.
- ウェビナー Cracking the Digital Identity Crisis With Fraud Analytics, AI and MLLearn how diving deep into data helps organizations gauge whether their customers are real and reduce losses from the fastest-growing financial crime in the US.
- ホワイトペーパー Using Hybrid Cloud Capabilities for True Omnichannel MarketingSeamless, agile customer interactions require a marketing system that can collect data about a customer’s interactions and behavior across all touch points, regardless of underlying technology. Learn how SAS Customer Intelligence 360 lets you use both cloud and on-site channels and data to create an omnichannel marketing solution.
- ウェビナー SAS Identity Series: Building a Business Case for Identity Risk ManagementJoin our panel of fraud, risk and innovation experts in part 1 of the SAS Identity Series as we explore how companies can most effectively connect with customers while mitigating identity fraud and risk.
- ウェビナー Not All Heroes Wear Capes: How AI and Data Help Stop Money Laundering in the Opioid CrisisCutting off illicit funds. Strengthening financial protections. Saving lives.
- ウェビナー AI and Banking: Survey Reveals Success FactorsWhether you are a business or technology leader in banking, this must-attend webinar will give you a clearer, current, data-driven picture of the state of AI in banking and where it’s heading.
- ホワイトペーパー Data-Driven PerformanceAgency program executives need to know a lot about their programs beyond whether the spending rate results in a balanced budget execution.
- ホワイトペーパー Retail bank media networks: Monetize customer data with personalized offers and advertisingThe creation of a “retail bank media network” can drive more valuable next-best offers, generate new ad revenue, offset revenue shortfalls and increase shareholder value.
- ホワイトペーパー Building a foundation for innovation: Five steps to keep your AML program efficient and effectiveWhite paper
- e-Book Customer experience - now and into the futureExperience 2030: Research reveals 5 key themes driving customer experience. Build a forward-looking customer experience framework.
- ウェビナー 2022 Trends in Digital Fraud: ATOs, Scams and SolutionsAs digital channel adoption continues to surge, learn how advanced analytics helps financial institutions increase awareness, detection and prevention of growing scam activity
- e-Book Your journey to a GenAI future: A strategic path to success in bankingAs generative AI (GenAI) stands on the brink of revolutionizing how the world does business, the banking industry is starting to capitalize on it. Data is at the center of everything in banking. GenAI offers the potential to generate more value from this data by enabling new efficiencies and unlocking untapped value – and many banks are already reaping the benefits. From enhancing the customer experience to thoroughly transforming fraud detection, risk and compliance management and more, banks are beginning to realize the productivity and efficiency gains GenAI offers. The pressing questions for banking leaders now are how and where they can use GenAI most effectively going forward, and how to ensure it is fully adopted and scaled. Our research findings are based on a new survey of 1,600 organizations across the globe from a wide range of industries. To better understand the banking industry perspective on GenAI, we examined responses from 243 senior leaders in the banking sector who are responsible for making decisions on GenAI strategy or data analytics. This report reveals: ● How banks are implementing GenAI compared to other sectors. ● Which areas banks are seeing benefits in, and where banks feel less confident. ● How the banking sector’s investment in GenAI stacks up against other sectors, and where it is being spent. ● How banking firms can proactively prepare for the challenges of implementing GenAI to ensure a strong ROI.
- e-Book Reimagining risk, modeling, and decisioningThe eBook addresses how SAS and Microsoft are modernizing credit risk modeling and decisioning for better customer experience.
- e-Book Personalized advertising that you controlBanks that control their own personalization models, data and ad delivery ultimately deliver a better customer experience.
- ウェビナー Bridging CECL Models Into Stress TestingJoin us to learn how to incorporate CECL estimates and methodologies into stress testing frameworks.
- ウェビナー SAS Identity Series: Your Identity Risk Management Strategy: From Obstacles to ActionJoin our experts in part 2 of the SAS Identity Series as we discuss how to effectively move your identity risk management strategy forward in the organization – from next steps to overcoming obstacles to successful execution.
- ホワイトペーパー Fighting Insurance Application Fraud Learn about the advantages of using analytics-driven methods for authenticating applicants to reveal customer gaming, agent gaming and potential future claims fraud.
- 〓分析◆アナリスト・〓レポート The Forrester Wave™: Real-Time Interaction Management, Q4 2025SAS showcases leadership with top notch AI workbench and predictive modeling.
- ウェビナー How Do I Use SAS® Intelligent Decisioning?Join this webinar to learn how to use capabilities offered in SAS Intelligent Decisioning.
- ウェビナー Generative AI in Fraud and Financial CrimesChallenges and opportunities for financial institutions
- 記事 アナリティクスによる児童福祉の改善(英語)With tremendous potential for child welfare agencies to use data and analytics to prevent child abuse and improve outcomes for children and families, child welfare advocates discuss the benefits of using data and establishing a data-driven culture to advance practice and policy.
- 〓分析◆アナリスト・〓レポート Chartis RiskTech100, 2026SAS ranks #2 overall in the prestigious Chartis RiskTech100, 2026. Seven category wins are AI for Banking, Balance Sheet Risk Management, Behavioral Modeling, Enterprise Stress Testing, Capital Optimization, IFRS 9 and Model Risk Management.
- ウェビナー Fighting the Opioid Crisis at the Source: Pharmacies and Physicians Learn how advanced analytics is being used to fight the opioid crisis on the provider side of the epidemic starting with the source: physicians and pharmacies.
- ウェビナー Enterprise Fraud and Financial Crimes Compliance: How Banks Need to AdaptAs fraud and financial crime grow more sophisticated in the digital landscape, learn how emerging tech is helping banks respond faster and build a more effective, proactive strategy to stay ahead.
- ユーザー事例 アナリティクスがマネーロンダリング対策の原動力を供給SAS helps Landsbankinn reduce false positives and streamline investigation.
- ウェビナー The Sector Series | Game Changing AI Technology for Governments: Machine LearningLead responsibly with knowledge of machine learning in this era of AI
- ホワイトペーパー Stress Testing 2.0: Better Informed Decisions Through Expanded Scenario-Based Risk ManagementA road map for those who are starting to build – or are rethinking their approach to – their stress testing infrastructure and strategy.
- ホワイトペーパー Banking in 2035: three possible futuresThis paper explores how the major forces affecting banks may evolve between now and 2035, seen through the lens of three potential scenarios.
- ウェビナー The Autonomous Bank: A Clubhouse Conversation on Agentic AI and the Future of Finance Join SAS and AWS leaders for an intimate, interactive Clubhouse-style conversation designed for senior executives navigating the shift to autonomous AI in financial services.
- 記事 IFRS9とCECL:信用損失会計基準に関する課題CECLとIFRS9は銀行に対し、予想信用損失(ECL)の予測精度を向上させることを義務付けます。この要件を満たすためには、アナリティクスに基づく新しい信用損失モデルが必要になります。
- ウェビナー The Importance of a Unified Decisioning Platform for Midmarket BanksLearn more about key industry trends and the shifting analytics landscape as midmarket banks seek to compete on digital transformation and customer experience.
- e-Book The Agentic Bank: A Field Guide to AI That Thinks, Acts and AdaptsAgentic AI is changing how banks operate – enabling real-time decisions, scalable automation and built-in governance. This guide lays out the 5 steps to build an agentic bank that adapts fast, stays compliant and keeps humans in the loop.
- ウェビナー Data for Good: Enhancing the Partnership of Public Service and Mental HealthLearn how SAS empowers public service to help those suffering from mental health and homelessness
- ウェビナー Banking Breakdown: The Wider Implications and What to Do NextJoin us for a discussion of the current banking turmoil and how risk technology and analytics can help improve stability during market volatility.
- ウェビナー Health Care in the Post-Honesty EraIt's time for health care payers to assess payment integrity practices and develop a strategy around advanced analytics to modernize and thrive.
- ホワイトペーパー Value and Opportunity: An Executive Guide to Procurement IntegrityProcurement integrity (PI) represents a broader problem and bigger opportunity than most businesses recognize. Comprehensive PI programs continuously validate purchasing transactions, using data and analytics to trace patterns, spot anomalies, and reduce fraud, waste and abuse.
- ホワイトペーパー Procurement integrity powered by continuous monitoringWhy do many otherwise well-intentioned employees feel tempted to commit fraud – and end up being successful for so long? See why you can't afford to wait to take action.
- ホワイトペーパー Building Artificial Intelligence in Credit Risk: A Commercial Lending PerspectiveWhat will it take for banks to trust artificial intelligence (AI) and machine learning (ML) with judgments about data accuracy and leverage it for commercial lending process automation?
- 記事 アナリティクスを活用した処方薬の監視薬物乱用への対策として始まった処方薬監視プログラム(PDMP)に、高品質なデータと優れたアナリティクスを組み合わせることで新たな可能性が生まれます。
- ユーザー事例 フィンランド最大手のリテール銀行、顧客サービスとクレジット・スコアリングを改善するためにAIを適用S-Bankは、SAS Viya on Azureを活用して、より優れた顧客サービスと、より迅速かつ正確なローン契約処理を提供しています。
- e-Book Future of Intelligent Banking: AI, Risk and Innovation in the Next Decadee-book
- ホワイトペーパー Proactive anti-financial crime strategies to improve compliance and reduce riskIn today’s fast-changing landscape, become more effective across all stages of AML investigations by following this framework and shift to a proactive, risk-based approach.
- 記事 The best gift you can give to thieves this holiday season? Your identity.While the use of EMV in cards has helped to mitigate fraud perpetrated at retail stores, undeterred fraudsters have focused their efforts online. Find out how advanced analytics and machine learning help combat this threat.
- ホワイトペーパー AML ModernizationThis white paper explores current organizational challenges, outlines the benefits of new AML technology adoption, and identifies how to embark on a journey of discovery and modernization.
- ホワイトペーパー Tackle the Complexity of IFRS 9 and CECL StandardsThe US standard for CECL increases the complexity of the allowance estimation process. Outside the US, IFRS 9 is having the same effect. Learn about best practices for getting this right.
- ホワイトペーパー Text Analytics for ExecutivesThis paper looks at how organizations in banking, health care and life sciences, manufacturing and government are using SAS text analytics to drive better customer experiences, reduce fraud and improve society.
- ホワイトペーパー Basel IV: The push you neededIn a landscape of great uncertainty and the economic crisis sparked by COVID-19, financial institutions must address the challenges Basel IV will bring. An integrated risk management approach is the best path forward to meeting ever-evolving regulatory needs.
- ウェビナー The Year Ahead: Banking Trends for 2024Embark on a journey of knowledge and foresight as we take a deep dive into pivotal trends that will shape banking in the coming year.
- ウェビナー 2025 Trends in Global BankingDiscover the pivotal trends shaping the future of global banking in 2025 – and beyond.
- ホワイトペーパー Migrating Analytics to the Cloud: It's About Time In this paper, SAS and the International Institute for Analytics (IIA) explore how to maximize the performance and value of analytics in the cloud, weigh the options, and choose the right approach to migration.
- ホワイトペーパー Rethinking risk: Smarter models, better decisionsModernizing and automating the end-to-end process for origination and servicing – from data management to model development to credit decisions – can reduce credit losses and boost performance. This paper explores how infusing machine learning into this process supports more effective credit decisions for individuals, products or portfolios.
- e-Book Data scientists use SAS Viya on Microsoft Azure to develop big innovationsThis e-book features top solutions showcasing how global Hackathon teams used SAS Viya on Microsoft Azure to develop innovative approaches that save time, money, and entire ecosystems, such as the world's coral reefs.
- ウェビナー Unlocking analytics for business process improvement and patient safety
- ホワイトペーパー The road to integrationHow far along are financial institutions on their AI and machine learning adoption journey, and where might these technologies deliver the most value?To find out, SAS partnered with the Association of Certified Anti-Money Laundering Specialists (ACAMS) and KPMG to survey more than 850 compliance professionals and ACAMS members. This report provides a snapshot of the survey results, including: · How many institutions are using AI and ML, including GenAI.· Reasons for adopting (or not adopting) these technologies.·How far along those surveyed are on their integration journey.
- ウェビナー Trustworthy AI: Understanding the Liability and Consequences of AI Models in Production Discover how to navigate evolving regulations and tackle the unknowns, all while protecting your institution and customers.
- ウェビナー One Step Ahead: Fight Fraudsters With Cutting-Edge TechnologyLearn about the anticipated trends, challenges and best practices for integrating technology – including AI, advanced analytics and robotic process automation – into your organization’s fraud management strategies.
- ウェビナー Visualizing the Nesting Dolls: Uncovering Hidden Risk Join us for this webinar to learn how to use analytics to help financial institutions uncover hidden risks beyond the first degree.
- ホワイトペーパー Maintaining Customer Trust with Martech in Small and Medium-Sized BusinessesFor small and medium-sized businesses (SMBs), marketing technology is essential for staying competitive and building customer trust. A recent Harvard Business Review Analytic Services survey found that 81% of respondents believe martech has a significant impact on fostering trust with customers. It helps SMBs tackle challenges like limited budgets, measuring ROI and team alignment, enabling them to deliver consistent messaging, personalize experiences and work more efficiently. Looking ahead, generative AI is opening up new opportunities for SMBs to evolve their marketing strategies, innovate and stay ahead in an ever-changing market.
- ホワイトペーパー Government Procurement OfficesFind better ways to address fraud, waste and abuse – and respond more effectively to budget cuts – by using SAS to help you achieve new levels of fiscal responsibility.
- ホワイトペーパー From Crisis to Opportunity: Redefining Risk ManagementHow a more automated approach to risk management can transform banks’ performance, during the pandemic and beyond.
- e-Book Seven trends shaping the future of taxOur industry experts identified seven megatrends shaping the future of tax and how SAS can help you tackle them. Also, learn how other agencies around the world are addressing the challenges and looking ahead.
- 〓分析◆アナリスト・〓レポート モデルリスク管理システムに関する2014年版Chartis RiskTech Quadrant(英語)
- ホワイトペーパー Enforcing Tax Compliance in a Turbulent WorldIIA spoke with SAS experts to explore innovative ways to use data and analytics to improve operational efficiency, taxpayer engagement, and smart decisions throughout the revenue and compliance process.
- ホワイトペーパー Top Trends: Why Tax Administrators Are Adopting New Data and Analytics StrategiesDespite best efforts, governments lose several trillion dollars annually to the economic crimes of tax evasion and noncompliance. Learn about the top five trends shaping the future for tax administrators.
- ウェビナー AI: Practical Applications in Health Care and Payment Integrity What exactly are AI, ML and GAI, and how are they applied in health care and payment integrity? Let’s explore current uses and potential future threats.
- ユーザー事例 Finding your best customers with machine learningSeacoast Bank enhances customer value using AI and SAS Visual Analytics on SAS Viya.
- ホワイトペーパー Using Modern Analytics to Save Government Programs MillionsNext-generation analytic tools from SAS cut across data and program silos and empower investigators to go on the offensive with fraud operators – without disrupting the efficient and timely delivery of benefits, services or tax refunds.
- ホワイトペーパー Firmwide Scenario Analysis and Stress TestingThis paper explores the two most commonly used firmwide scenario model approaches for stress testing, firmwide risk capital measures and how regulatory stress testing is different from the firmwide risk capital approach mandated by CCAR and EBA.
- ウェビナー 5 Tips for Using GenAI to Improve Your Customer ExperienceLearn how generative AI is reshaping CX for businesses across industries.
-
記事 Bank3.0の世界で求められる新たな金融サービスの形近年Bank3.0、FinTechといった概念の出現とともに、金融サービス事業者と顧客の関係が大きく変貌しています。少子高齢化という外部環境も相まって、弊社の金融サービス業のお客様からも先進事例に関するお問い合わせが増えています。弊社がご提供したシステムを活用されている銀行での取り組み例をご紹介します。
- ホワイトペーパー Transforming Risk ManagementBanks face unprecedented risk challenges - from geopolitical shifts to AI-driven disruption. This report, based on insights from 300 global banks, explores the transformation of risk management, from rethinking risk models to integrating AI and data strategies. Building on 2021 findings, this SAS and Longitude report tracks progress over three years and provides key insights for accelerating change.
- e-Book Stress and Strategy: A C-Suite Guide to Scenario-Based Risk ManagementThis e-book from SAS and Argyle explores some of the ways that top-performing organizations are undertaking scenario-based risk assessment to develop and manage their business strategies.
- ホワイトペーパー Machine Learning Use Cases in Financial CrimesLearn 10 proven ways machine learning can boost the efficiency and effectiveness of fraud and financial crimes teams – from data collection to detection to investigation and reporting.
- ウェビナー Navigating Economic Challenges: Building Resilience Through Integrated Risk ManagementLearn how to modernize ALM and liquidity risk management in turbulent times.
- 〓分析◆アナリスト・〓レポート Chartis RiskTech Quadrant® for FRAML Solutions, 2023SAS achieved category leader status in the Chartis RiskTech Quadrant for FRAML Solutions, 2023.
- ホワイトペーパー Managing the Intelligence Life CycleBecause terrorists and other criminals are already using technology to carry out their missions, intelligence professionals need to access all available, appropriate information, to extract important elements and process, analyze and disseminate it quickly to keep ahead of potential threats.
- ウェビナー Generative AI Meets AML: Elevating Compliance Standards in Banking Join us as we explore real-world examples, key insights and what the future holds for GenAI in AML compliance.
- ホワイトペーパー The balance sheet risk conundrumDiscover five key elements required to achieve the most possible value from a modernized ALM and liquidity risk management program.
- ウェビナー Banking on AI: The 2026 Maturity PivotAn executive session with SAS and KPMG on scaling AI from promise to performance.
- ウェビナー The Interplay of Analytics With Strategy, Art and ExperienceLearn how marketers can pivot right now in the face of today’s unprecedented challenges.
- ホワイトペーパー The future of trustWhite paper
- ホワイトペーパー AI Is at the Forefront of Reducing Money Laundering and Combating the Financing of Terrorism See how artificial intelligence (AI), machine learning (ML) and robotic process automation (RPA) are helping firms overcome the challenges, improve results and make AML/CFT programs more efficient and effective.
- ウェビナー Alignment: The Harmonic Convergence of Banking CXLearn how banks can use data and analytics to adapt and act in real time and provide better customer experiences.
- ホワイトペーパー Fighting the Rising Tide of Medicaid FraudMedicaid fraud has jumped dramatically in the era of COVID, as increasing complexity of delivery and payment models, along with increased funding, has created openings for fraudsters, including organized crime.
- 〓分析◆アナリスト・〓レポート The Forrester Wave™: Enterprise Fraud Management, Q2 2024As noted in the Forrester evaluation, "SAS provides a broad selection of out-of-the-box EFM machine learning models. ."
- 記事 公共機関、公共セクターによるHigh-Performance Analyticsの活用政府機関や公共機関の持つビッグデータは、内部の不正や機関へのリスクだけでなく、市民生活などさまざまな要素に影響を与えます。では公共セクターは、どうすればビッグデータを有効に活用できるでしょうか。
- 〓分析◆アナリスト・〓レポート Datos Matrix: Fraud and AML Case Management, 2025As one of the most established brands in financial crime solutions and applied analytics, SAS scored highest among all the vendors surveyed in terms of stability. It has client retention rates of more than 90% and sales and support staff in all markets globally.
- ウェビナー Fighting the Opioid Crisis: Why Program Integrity Is Essential As the opioid epidemic continues to overwhelm our systems and communities, advanced analytics is critical to combating this crisis.
- ホワイトペーパー Compete and win with better model risk managementAs explored in this paper, models can degrade over time, and sound model risk management (MRM) is the key to managing this risk.
- ホワイトペーパー Outrunning risk with cloudBy employing cloud-based risk modeling and decisioning capabilities, banks can make faster, more sophisticated risk calculations that keep them one step ahead of existing and emerging threats.
- e-Book Securing the future: Proactive strategies to combat financial fraude-book
- 〓分析◆アナリスト・〓レポート The Forrester Wave™: Anti-Money Laundering Solutions, Q2 2025SAS offers a strong framework for quantifying the ROI of its AML solution for its potential and existing customers.
- ホワイトペーパー Analytics Platform and Program: Keys to Success for Regulatory Compliance in Financial ServicesAdvanced analytics is at the heart of regulatory compliance processes in financial services. This paper discusses data enormity and preparation for analysis; flexibility in computing platforms; and a comprehensive program for data, analytics and models.
- ホワイトペーパー Risk Modeling and Decisioning White PaperThis white paper describes the urgent need to upgrade risk modeling and decisioning strategies in the banking/financial services industry and provides specific suggestions for improving them.
- ユーザー事例 Thai bank safeguards customers while managing fraud detection in real timeKrungsri Consumer uses SAS® Fraud Management to find fraud faster and reduce revenue losses.
- ホワイトペーパー Artificial Intelligence in Banking and Risk ManagementGlobal Association of Risk Professionals (GARP) and SAS survey drew more than 2,000 responses from across the financial services industry to answer questions about the current and future state of AI in risk.
- ホワイトペーパー Journey to an integrated balance sheetThe increasing complexity of risk management in financial services, combined with current market volatility, has made a holistic understanding of risk both more urgent and more challenging. To maintain liquidity, ensure growth, navigate regulatory obstacles and gain a comprehensive view of risk, banks must meet the moment by embracing integrated balance sheet management at every level.This white paper examines the common challenges banks face when managing risk in today’s environment and outlines specific steps banks can take to build a more integrated and effective balance sheet management strategy.
- ウェビナー A Contemporary Perspective: Our World at an Accelerated PaceUnderstanding that digital transformation is imperative for a seamless and integrated experience uniquely tailored to the needs and expectations of the client –central to success in a world of hyperconnectivity.
- ホワイトペーパー Reimagine your financial institution’s customer experienceFinancial institutions’ customers are more demanding than ever. According to a report from Vericast, the nature of loyalty in banking is being redefined, with nearly half of customers (46%) open to either switching banks entirely or using multiple institutions concurrently for different financial needs. These customers want highly relevant, personalized and seamless experiences with their financial institutions (FIs), regardless of the channel or device they choose to use. And they’ll prioritize banking with financial institutions that can deliver it. Unfortunately, many are not getting what they are asking for. A Capgemini study on making meaningful customer connections in the financial services industry reports that 52% of customers are frustrated by poor communications with their FIs, and 44% are dissatisfied with digital channels that are hard to navigate and provide experiences that are neither user-friendly nor tailored to their needs. Banks and other FIs have a vast amount of valuable customer data at their disposal that could be used to meet the rising customer expectations for timely, and relevant personalized communications including transaction history, demographics, spending behavior, credit ratings, browsing activity, product ownership, etc. However, there is still much work to do in this area as well, particularly when it comes to tailoring customer engagement using the data banks routinely collect. In fact, 71% of the FI executives surveyed told Capgemini that understanding customer motivations and preferences is critical to growth, but 54% acknowledge they don’t understand their customers well enough to embrace a truly customer-centric strategy. The Capgemini study also revealed 87% lack a centralized customer view and intelligent decisioning capability, and 85% do not use advanced behavioral targeting and customer behavior data for precise targeting.
- ホワイトペーパー Managing Models and Their RisksComputational and technological challenges present opportunities for a fast-evolving risk management discipline.
- e-Book Unifying Model Management Across the BankHow banks can empower all departments to manage model risk effectively across the entire model life cycle.
- ホワイトペーパー Effective fraud analytics: 10 steps to detect and prevent insurance fraudInsurers that follow the 10 steps outlined in this paper offer the best chance for detecting both opportunistic and organized fraud.
- ホワイトペーパー Risk-Aware Finance and the Changing Nature of CreditNew research by Chartis and SAS highlights how financial institutions must align finance and risk departments to accurately assess future risks and bolster budgeting and forecasting capabilities. This paper explores how risk-aware finance is becoming essential to meeting future regulatory and competitive demands.
- e-Book Public procurement integrity at riskFraud, waste and abuse (FWA) take many forms, from duplicate invoices, ghost vendors and fake invoices to overbilling billing for goods. This e-book explores the procure-to-pay lifecycle, obstacles to spotting FWA, how to strengthen government procurement, hat's possible in the real world and how a data and AI-driven approach leads to greater productivity.
- ユーザー事例 Fast analytical defenseDeutsche Kreditbank AG combats fraud and money laundering with SAS.
- ホワイトペーパー Safer communities, trusted law enforcementThrough an analytics-based approach to officer readiness, SAS can help law enforcement ensure public safety and reestablish a culture of trust.
- ホワイトペーパー The balance sheet risk conundrumHow SAS and Microsoft are modernizing asset liability management and liquidity risk management in turbulent times.
- ホワイトペーパー Achieving program integrity for health care cost containmentLearn how taking an enterprise approach to payment integrity – one that combines advanced data management and sophisticated analytics – can help payers detect and prevent fraud; effect positive change in how providers, employees and patients behave; and substantially reduce health care costs.
- ホワイトペーパー Detect and prevent digital banking fraudDiscover how banks can fight identity-based fraud attacks using proven analytical methods to detect the fraudsters while expediting service for legitimate customers.
- ウェビナー Product Build Deep Dive: Payment Integrity for Procurement via Solution FactoryReducing losses, straightening controls and improving process efficiency – all are essential to payment integrity. See how SAS Payment Integrity allows organizations to detect and address the root causes of fraud, waste and abuse with consistency and scalability.
- ウェビナー Catalyzing Banking Innovation With SAS® Viya® on Microsoft Azure Learn how cloud-native, open source analytics platforms enable data scientists to move faster and work smarter than ever.
- e-Book Faces of FraudLearn how strong, AI-enabled fraud detection can help businesses rise to their customers’ expectations and gain a competitive edge.
- ホワイトペーパー Generative AI in Health Care: Opportunities and CautionsLearn how GenAI will affect all aspects of health care, from cost containment to patient care., and the importance for organizations to recognize both the potential and the limits of this new technology and be alert to how it’s being used to perpetrate fraud.
- e-Book 5 Steps to a Unified Enterprise Customer Decisioning StrategyIn an era of unprecedented technology-driven disruption, banks are facing a dual challenge: Meeting rising customer expectations while navigating increasingly complex regulatory demands. To remain competitive, banks must not only innovate but also streamline operations and foster greater collaboration across departments, breaking down traditional silos and working toward innovation. How can banks simplify their operations, future-proof their services, and drive growth? Enterprise customer decisioning is the answer. This ebook describes five important steps to making better decisions faster with enterprise customer decisioning.
- ホワイトペーパー The Value of Credit Risk Transformations and the Role of AIAs banks seek continued progress in their credit risk transformation journey, the insights gathered by SAS and GARP reveal the obstacles they face.
- ウェビナー Driving Tax Administration Excellence: 2025 StrategiesInsights to transform tax administration and compliance
- ホワイトペーパー Anti-Fraud Technology As criminals find new ways to exploit technology and target potential victims, anti-fraud professionals must adopt new technologies to effectively navigate the evolving threat landscape.
- 〓分析◆アナリスト・〓レポート Celent: Insurance Fraud Detection Solutions: Health Insurance, 2022 EditionSAS was named a Luminary in Celent's Insurance Fraud Detection Solutions: Health Insurance, 2022 Edition, excelling in both Advanced Technology and Breadth of Functionality.
- ホワイトペーパー Banking in 2035: global banking survey reportWhat trends do banking leaders consider to be the greatest risks and the greatest opportunities? What internal and external barriers stand in their way? What technologies will help them harness the opportunities ahead? Download the report to explore.
© 2025, Forrester Research, Inc. All rights reserved. Unauthorized reproduction is strictly prohibited. Information is based on best available resources. Opinions reflect judgment at the time and are subject to change. Forrester®, Technographics®, Forrester Wave, RoleView, TechRadar, and Total Economic Impact are trademarks of Forrester Research, Inc. All trademarks are the property of their respective companies. Unauthorized copying or distributing is a violation of copyright law. To purchase reprints of this document, please email clientsupport@forrester.com. For additional information, go to www.forrester.com.
