SAS ranks No. 2 overall in the prestigious Chartis RiskTech100, 2026 – with 7 category wins
SAS holds a strong second place overall in the world's foremost ranking of the Top 100 risk management and compliance technology providers. SAS also bested seven technology award categories, including AI for Banking, Balance Sheet Risk Management, Behavioral Modeling, Capital Optimization, Enterprise Stress Testing, IFRS9 and Model Risk Management.
With its broad range of applications, tools and domain-specific data management capabilities, SAS is well-placed to restructure the technology landscape in risk and finance, offering robust solutions to institutions that require innovative platforms across the decisioning life cycle.
SAS’ second place in RiskTech100 reflects the scale, diversity and depth of its offerings. Alongside effective decisioning and a robust analytical platform and tools, it continues to offer a broad range of applications for insurance, banking and related areas that include IFRS 9, IFRS 17, retail banking analytics, model governance, stress testing and dynamic actuarial modeling." Sid Dash Chief Researcher, Chartis
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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.
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イベント関連資料
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Model Risk Management: Today's Governance and Future DirectionsA GARP-SAS Survey on Model Risk in the Age of Artificial Intelligence and Machine Learning.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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
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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?
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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.
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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.
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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.
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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.
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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.
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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.
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Next-generation AMLSix tips to modernize your fight against money laundering.
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2025 Trends in Global BankingDiscover the pivotal trends shaping the future of global banking in 2025 – and beyond.
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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. ."
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Datos Matrix: Fraud and AML Case Management, 2025 -
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The Interplay of Analytics With Strategy, Art and ExperienceLearn how marketers can pivot right now in the face of today’s unprecedented challenges.
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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.
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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.
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モデルリスク管理システムに関する2014年版Chartis RiskTech Quadrant（英語） -
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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.
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The Forrester Wave™: Real-Time Interaction Management, Q4 2025SAS showcases leadership with top notch AI workbench and predictive modeling.
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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.
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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.
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Intelligent Decision Automation for Telecommunications in the Digital AgeLearn how communications providers who adapt and embrace analytics and AI will unlock opportunities by converting current processes to be reliably smart, such as credit risk, fraud and collections.
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e-Book
Reimagining risk, modeling, and decisioningThe eBook addresses how SAS and Microsoft are modernizing credit risk modeling and decisioning for better customer experience.
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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.
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e-Book
Personalized advertising that you controlBanks that control their own personalization models, data and ad delivery ultimately deliver a better customer experience.
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The balance sheet risk conundrumDiscover five key elements required to achieve the most possible value from a modernized ALM and liquidity risk management program.
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Modernizing Asset Liability ManagementChanging priorities in ALM technology, data and analytics.
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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。
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ユーザー事例
Fast analytical defenseDeutsche Kreditbank AG combats fraud and money laundering with SAS.
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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
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記事
金融機関と政府の包括的な金融犯罪対策を支援 -
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.
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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.
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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.
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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.
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Pioneering Ethical AI: The Crucial Role of Property and Casualty InsurersInsurers have long been global leaders in addressing risks and protecting people and businesses. As artificial intelligence continues to revolutionize how business gets done, it is redefining how insurers can deliver on their promises. Read this paper to learn from industry veterans and AI experts alike about:
• The state of AI regulations globally.
• The multifaceted role insurers can play in developing AI ethics.
• Why insurers are uniquely qualified to use AI (and GenAI) – and how they’re using these technologies today.
• An approach to an ethical AI framework that any insurer can follow to establish their own AI narrative.
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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.
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5 Tips for Using GenAI to Improve Your Customer ExperienceLearn how generative AI is reshaping CX for businesses across industries.
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記事
信用リスク管理、それが答えです貸付・融資量は金融危機前の水準を回復しています。しかし、銀行は滞納率の上昇にも直面しています。だからこそ、信用リスク管理の改善がカギなのです。
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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.
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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.
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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.
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AI-powered solutions for a trillion-dollar problemWhite paper
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From Crisis to Opportunity: Redefining Risk ManagementHow a more automated approach to risk management can transform banks’ performance, during the pandemic and beyond.
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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。
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e-Book
Securing the future: Proactive strategies to combat financial fraude-book
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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.
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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.
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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.
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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.
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e-Book
Unifying Model Management Across the BankHow banks can empower all departments to manage model risk effectively across the entire model life cycle.
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e-Book
Supercharge your ALM system: How treasury and finance departments can empower banks to brace for the unexpectedDuring a long period of economic stability, many financial institutions didn’t modernize their asset and liability management (ALM) programs to the same extent that they modernized other programs. The high-profile failures of several banks have since emphasized the importance of having a robust ALM program. As banks strive to enhance their ALM analytics to provide greater strategic business value, they must have a broader and more dynamic perspective of ALM – along with a comprehensive balance sheet management process that integrates multiple risk dimensions. Discover how SAS’ industry-leading analytical platform can help you achieve these goals.
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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.
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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.
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〓分析◆アナリスト・〓レポート
Chartis RiskTech AI 50, 2025 -
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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.
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The future of trustWhite paper
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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〓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.
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〓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.
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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。
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Designing the Infrastructure for Credit Risk Model Development and Deployment in UtilitiesExplore the challenges of setting up credit risk modeling – and how to establish an effective program through better planning and design.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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〓分析◆アナリスト・〓レポート
Chartis RiskTech100, 2026 -
〓分析◆アナリスト・〓レポート
Chartis RiskTech Quadrant Asset and Liability Management, 2024SAS is named a category leader in Chartis Research's 2024 RiskTech Quadrant for ALM solutions, FTP solutions, LRM and reporting technology solutions, capital and balance sheet optimization solutions., hedging and risk management solutions, and financial planning and budgeting solutions.
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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.
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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.
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The balance sheet risk conundrumHow SAS and Microsoft are modernizing asset liability management and liquidity risk management in turbulent times.
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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。
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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.
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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。
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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。
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Managing Models and Their RisksComputational and technological challenges present opportunities for a fast-evolving risk management discipline.
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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.
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〓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.
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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.
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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.
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〓分析◆アナリスト・〓レポート
The Forrester Wave™: Anti-Money Laundering Solutions, Q2 2025 -
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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.
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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.
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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.
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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.
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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.
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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.
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記事
シナリオ・ストレステスト：規制遵守以外の領域における有効活用に向けてシナリオ・ストレステストは銀行に対し、幅広い条件と重大度レベルを用いて金融危機への対応をシミュレートする方法を提供します。シナリオ・ストレステストは銀行監督用ツールとして進化してきたものですが、金融機関の側では既に、これらの規制対応実務を通常業務に組み込み済みです。
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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.
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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.
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e-Book
Future of Intelligent Banking: AI, Risk and Innovation in 2025e-book
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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.
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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.
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ウェビナー
Generative AI in Fraud and Financial CrimesChallenges and opportunities for financial institutions
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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.
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ホワイトペーパー
Building a foundation for innovation: Five steps to keep your AML program efficient and effectiveWhite paper
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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.
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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.
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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.
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〓分析◆アナリスト・〓レポート
Chartis RiskTech Quadrant for Watchlist and Adverse Media Monitoring, 2024