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.
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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。
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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.
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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.
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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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ホワイトペーパー
Managing Fraud Risk in the Digital Age The rise of mobile and online transactions introduces new fraud risks. Retailers and payment processors must adapt their anti-fraud defenses, augmenting them with stronger, analytics-driven authentication, proactive detection and mitigation tools.
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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.
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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.
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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.
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e-Book
Faces of FraudLearn how strong, AI-enabled fraud detection can help businesses rise to their customers’ expectations and gain a competitive edge.
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e-Book
5 Tips for Using GenAI to Improve Customer ExperienceImagine 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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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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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.
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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
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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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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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.
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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.
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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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記事
金融機関と政府の包括的な金融犯罪対策を支援 -
〓分析◆アナリスト・〓レポート
Chartis RiskTech100 2025SAS ranks #2 overall in the prestigious Chartis RiskTech100, 2025. Six category wins are AI for Banking, Balance Sheet Risk Management, Behavioral Modeling, Enterprise Stress Testing, IFRS 9 and Model Risk Management.
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ホワイトペーパー
Data, analytics and machine learning: The new frontier of fraud preventionThe Economist explores how global financial institutions are using advanced technologies such as machine learning to support fraud and security intelligence.
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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.
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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.
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e-Book
Securing the future: Proactive strategies to combat financial fraude-book
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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.
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ホワイトペーパー
Modernizing Asset Liability ManagementChanging priorities in ALM technology, data and analytics.
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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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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.
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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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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.
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〓分析◆アナリスト・〓レポート
SAS is a Leader in The Forrester Wave™: Anti-Money Laundering Solutions, Q2 2025SAS Anti-Money Laundering, which helps fight money laundering and terrorist financing with AI, machine learning, intelligent automation and advanced network visualization, is named a Leader in The Forrester Wave.
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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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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.
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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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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.
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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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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.
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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.
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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.
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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。
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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.
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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.
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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.
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ホワイトペーパー
What Lies BeneathThe prevalence of and approaches to procurement fraud in global business.
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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.
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ホワイトペーパー
Next-generation AMLSix tips to modernize your fight against money laundering.
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〓分析◆アナリスト・〓レポート
SAS is a Leader in The Forrester Wave™: Real-Time Interaction Management, Q1 2024Forrester names SAS a Leader in The Forrester Wave™: Real-Time Interaction Management, Q1 2024.
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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.
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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.
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ホワイトペーパー
Fraudsters love digitalBy incorporating fraud analytics as a first line of defense, insurers can build in safeguards for all of their digital programs. In turn, they can spot emerging fraud rings, emerging fraud trends, and make real-time decisions on claims recovery to reduce leakage.
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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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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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〓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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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.
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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.
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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.
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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.
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ホワイトペーパー
The Escalation of Digital FraudThis Javelin Research report is based on 120 independent interviews of payment and security executives in 20 countries and delivers a clear picture of how digital fraud has changed the global operating environment for financial institutions.
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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.
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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.
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〓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） -
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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ユーザー事例
Fast analytical defenseDeutsche Kreditbank AG combats fraud and money laundering with SAS.
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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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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.
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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?
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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
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.
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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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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.
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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.
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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。
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e-Book
Protecting the PaymentsAs unemployment insurance claims increased dramatically because of pandemic job losses, incidents of fraud have also grown exponentially in federal and state government systems.
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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.
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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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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.
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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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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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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.
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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.
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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.
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ホワイトペーパー
Leveraging Analytics to Combat Digital Fraud in Financial OrganizationsInternational Institute for Analytics summarizes key questions and answers about financial fraud in the digital age.
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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.
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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.
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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.
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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.
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e-Book
Intelligent banking: The future aheade-book
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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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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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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.
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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.
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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 -
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.
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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.
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〓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。
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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ホワイトペーパー
2021 State of Insurance Fraud Technology StudyAs fraud continues to frustrate survey respondents, it's not surprising that the adoption of insurance anti-fraud technologies among respondents grew since the 2018 survey.
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ホワイトペーパー
Rethinking customer due diligenceHelp evaluate your organization's CDD processes and technology relative to current industry risks and regulatory requirements.
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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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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。
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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.
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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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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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e-Book
Fight money laundering with these 5 next-gen game changers from SASEffectively battling dynamic financial crime threats requires new capabilities for AML defense – such as artificial intelligence, machine learning, intelligent automation and advanced visualization.
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Keeping Fraud Detection Software Aligned With the Latest ThreatsLearn how SAS enables end users to keep fraud detection software current and able to detect new threats.
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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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〓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.
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Data-Driven PerformanceAgency program executives need to know a lot about their programs beyond whether the spending rate results in a balanced budget execution.
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〓分析◆アナリスト・〓レポート
SAS is a Leader in The Forrester Wave™: Enterprise Fraud Management, Q2 2024 -
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？
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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/financal services industry and provides specific suggestions for improving them.
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Payments Without BordersMitigating fraud risks in cashless payments by holistically understanding your customers across all channels.
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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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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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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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