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Технический документ
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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Технический документ
Using Digital Identity To Unleash Organizational DataCustomer experience focuses on speed and ease of access, lowering friction where possible. However, this approach has the potential to open up an organization to fraudulent attacks.
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Технический документ
Advanced Analytics For Dissolving Data SilosThe growing need for data storage has heightened the proliferation of data silos. Readers will learn how organizations can apply machine learning and artificial intelligence to battle fraud, confirm customer identities and build data systems to avoid potential silos.
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Технический документ
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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Article
IFRS 9 and CECL: The challenges of loss accounting standardsThe loss accounting standards, CECL and IFRS 9, change how credit losses are recognized and reported by financial institutions. Although there are key differences in the standards for CECL (US) and IFRS 9 (international), both require a more forward-looking approach to credit loss estimation.
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Article
Будущее банковского стресс-тестирования с аналитикой SAS в AzureУзнайте о вызовах, с которыми сталкиваются компании при стресс-тестировании, и о преимуществах перехода в облако.
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Article
CECL: Are US banks and credit unions ready?CECL, current expected credit loss, is an accounting standard that requires US banking institutions and credit unions to estimate life-of-loan losses at origination or purchase.
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Аналитический отчет
Standard Chartered Bank: Turning Stress Testing from Compliance Tool to Competitive AdvantagePartnering with SAS, Standard Chartered Bank built a robust stress testing platform. It started out as a tool for regulatory compliance and was expanded for assessing the effect of crisis scenarios on its future P&L and balance sheet. The bank has migrated this Scenario-based Analytics Platform to a centralized and more powerful second generation, and SAS is a key technology component in the solution.
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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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Article
Банки проверяют все операции на предмет отмывания денегНесколько лет назад в интернете можно было найти массу жалоб на несколько банков, которые слишком буквально восприняли нормы закона 115-ФЗ, и начали блокировать практически все крупные транзакции.
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Технический документ
Compete and win with better model risk managementModels can degrade over time, and sound model risk management (MRM) is the key to managing this risk.
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Технический документ
Fighting Money Laundering with Intelligent AutomationThe world of money laundering and other financial crimes is changing rapidly. This International Institute for Analytics research brief shows how fraudsters and money launderers keep getting more sophisticated.
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Технический документ
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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E-Book
Fight money laundering with these 5 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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Технический документ
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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Технический документ
Payments Without BordersMitigating fraud risks in cashless payments by holistically understanding your customers across all channels.
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Технический документ
Managing Models and Their RisksComputational and technological challenges present opportunities for a fast-evolving risk management discipline.
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Технический документ
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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Технический документ
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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Технический документ
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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Технический документ
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
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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Технический документ
The Evolution of AnalyticsLearn about modern applications for machine learning, including recommendation systems, streaming analytics, deep learning and cognitive computing. And learn from the experiences of two companies that have successfully navigated organizational and technological challenges to adopt machine learning and embark on their own analytics evolution.
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Технический документ
Повышение эффективности и результативности AMLВ первой части этой серии, посвященной борьбе с финансовыми преступлениями в условиях растущей сложности, анализировались текущие проблемы в операциях AML. В нем были выделены новые инструменты и технологии, такие как искусственный интеллект, машинное обучение и роботизированная автоматизация процессов, которые могут помочь преодолеть эти проблемы. Во второй части Celent обсуждает, как банки принимают эти решения, включая преимущества и основные извлеченные уроки. В статье также рассматриваются соображения по внедрению ИИ и рассматриваются будущие выгоды для индустрии AML.
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Технический документ
Что такое AML нового поколения? Борьба с финансовыми преступлениями подкрепляется робототехникой, семантическим анализом и искусственным интеллектом
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E-Book
Как эффективно бороться с легализацией преступных доходов, 5 шагов к успехуЭффективная борьба с динамичными угрозами финансовой преступности требует новых возможностей для защиты, таких как искусственный интеллект, машинное обучение, интеллектуальная автоматизация и расширенная визуализация.
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Технический документ
ИИ находится в авангарде борьбы с отмыванием денег и финансированием терроризма Узнайте, как искусственный интеллект (ИИ), машинное обучение (ML) и роботизированная автоматизация процессов (RPA) помогают компаниям преодолевать проблемы, улучшать результаты и делать программы AML/CFT более эффективными и действенными.
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Технический документ
Как искусственный интеллект и машинное обучение переосмывают борьбу с отмыванием денегМашинное обучение может играть большую роль в защите от отмывания денег, либо для автоматизации задач, ранее требовавших вмешательства человека, таких как управление данными для обучения моделей, либо для выявления большего риска финансовых преступлений, которые могут пропустить правила и более элементарные аналитические методы.
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Технический документ
Banking Application Fraud: Enemy at the GatesFind out how you can connect the dots from day one by creating multiple levels of detection that use different analytical techniques to identify both known and unknown patterns, yet one that can evolve and adapt with time.
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Аналитический отчет
SAS is a Leader in The Forrester Wave™: Real-Time Interaction Management, Q4 2020Forrester names SAS a Leader in The Forrester Wave™: Real-Time Interaction Management, Q4 2020.
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Технический документ
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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Технический документ
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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Оперативная сводка
Climate RiskA collection of articles from Risk.net on the impact of climate change on banks. SAS provides some key ideas for companies performing a self-assessment of their maturity in climate risk management.
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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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Технический документ
The Future of Risk Modeling Explore the future of risk modeling with a comprehensive offering that covers data management, modeling, governance, reporting, batch execution, real-time scoring and decisioning with a platform designed for all types of risk models.
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Технический документ
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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Технический документ
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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Технический документ
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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Технический документ
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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Технический документ
What is next-generation AML? The fight against financial crime fortified with robotics, semantic analysis and artificial intelligence
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Технический документ
Balancing Fraud Detection and the Customer Experience Customers of a digital business create an intricate online footprint as they transact online. Businesses that capture and truly understand a complete identity based on online and offline attributes can seamlessly authenticate good customers and reliably spot the fraudulent or hijacked identities – in real time.
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Технический документ
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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Технический документ
Detect and Prevent Identity Theft The explosion in e-commerce and online account opening has created new convenience and choice for consumers. At the same time, large-scale data breaches have created new opportunities for fraudsters, fueling an 8-percent increase in identity theft in a single year. Find out how to fight back, without hindering your good customers.
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Технический документ
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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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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Технический документ
Migrating Analytics to the Cloud: It’s About TimeIn 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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Аналитический отчет
Under the Spotlight: Innovative Vendors in Financial Crime Case Management TechnologyCelent's Under the Spotlight: Innovative Vendors in Financial Crime Case Management Technology
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Технический документ
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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Технический документ
BCBS 239: Meeting Regulatory Obligations While Optimizing Cost ReductionsExplore how forward-looking finance executives are using high-performance technologies to create fundamentally superior, compliant risk reporting processes – and ultimately help executives realize the goal of sustainable profitability
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Технический документ
Capital Management for Banking: Dawn of a New EraThis paper illustrates an approach to managing capital that will enable banks to proactively steer the vital components of strategic plans – product mix evolution, revenue growth and risk appetite.
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Технический документ
Digital Intelligence: The Heart of Successful Digital TransformationThis paper explores how digital transformation is changing marketing and customer experience throughout industries, including banking, retail and telecommunications. It also covers the importance of data in digital intelligence and discusses strategic ways to build a digital intelligence platform.
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Технический документ
Analytics and the AML Paradigm ShiftFinancial organizations are deploying artificial intelligence and machine learning in the fight against financial crimes. David Stewart, Director of Pre-Sales for the Global Security Intelligence Practice at SAS, offers tips to help separate fact from market hype when reviewing new data analytics tools.
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Технический документ
The evolving relationship between finance and riskIncreased regulatory requirements require chief financial officers to be proficient in regulations and advanced big data analytics. As a result, CFOs and CROs must cooperate like never before.
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Технический документ
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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Технический документ
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.
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Технический документ
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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Технический документ
Complying With CECL Lenders are making headway with CECL accounting standards, but not without some differences of opinion. The Global Association of Risk Professionals (GARP), in conjunction with SAS, conducted a survey to gauge lenders’ progress and concerns in gearing up for the new model. This report explains the survey’s key findings.
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Технический документ
Navigating the route to IFRS 9 complianceIFRS 9 standards establish wide-ranging and complex practices that can shape how financial institutions operate. This paper from Longitude Research and SAS provides guidance on IFRS 9 and examines how companies are preparing to meet this challenge.
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Технический документ
2016 Digital Channel Threat Report: Derisking Convenience This white paper examines the interplay between the challenges and opportunities afforded by the growing breadth of digital channels offered by financial institutions. Learn why mobile wallets, real-time peer-to-peer and digital account opening all require the right mix of security solutions, background analytics and personnel to balance positive customer experience with robust fraud protection.
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E-Book
How Any Size Organization Can Supersize Results With Data VisualizationEveryone makes better decisions with easy access to powerful, interactive analytics – no matter the size of the business. This e-book profiles six organizations that are using self-service data visualization and exploration to make big improvements in the way they work.
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E-Book
Becoming a data-driven organizationLearn about the three foundations of becoming data-driven – data management, analytics and visualization – and how they can increase profitability, boost performance, raise market share and improve operations.
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Технический документ
Best Practices in Transaction Monitoring Scenario Threshold Tuning and Model VerificationLearn about a best practices approach to performing scenario verification and threshold tuning projects for BSA/AML transaction monitoring systems.
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Технический документ
BCBS 239: A Path to Good Risk TakingIn the face of all the challenges and potential opportunity, BCBS 239 principles provide a solid foundation for data and analytics. And implementing them should be seen as a strategic investment.
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Технический документ
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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Технический документ
Achieving Optimal IFRS 9 ComplianceThis paper explores how IFRS 9-impairments compliance will have a substantial financial impact on banks, the major implementation challenges involved, and the critical role of technology in achieving optimal compliance.
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Технический документ
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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Технический документ
Taking the Risk Out of ConvenienceMobile wallets, real-time peer-to-peer (P2P) payments and digital account opening bring new opportunities – and new forms of risk. Javelin shows how financial institutions must adapt their fraud strategies accordingly.
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Технический документ
Building Credit Scorecards Using Credit Scoring for SAS Enterprise MinerDiscover how Credit Scoring for SAS Enterprise Miner software is used to build credit scoring models for the retail credit industry.
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Технический документ
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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Технический документ
Customer Experience: The Flip Side of the Fraud Detection CoinSee how analytics enables banks to balance risk with customer demand for fast access to deposits.
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Технический документ
Developing Scenario Segmentation and Anomaly Detection ModelsAn effective AML transaction monitoring strategy includes segmenting the customer base by analyzing customer activity and risk characteristics in order to monitor them more effectively. This paper discusses how to blend both quantitative and qualitative methods to tune scenarios to identify the activity that poses the most risk to the bank.
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Технический документ
SAS Grid Computing – What They Didn’t Tell YouJoin Austria’s Erste Group Bank on their journey from a monolithic SAS processing environment to a more flexible infrastructure using SAS Grid Manager software.
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Технический документ
Does Basel III Apply to the Community Bank? This paper discusses common myths and misconceptions community banks have about the Dodd-Frank and Basel III regulations and then explores key issues, challenges and requirements for community bank compliance.
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Технический документ
The Future of Model Risk Management for Financial Services FirmsBanks have been using credit scoring models for decades, but since the financial crisis of 2008, regulators have formalized the discipline of model risk management (MRM), driving the need for more rigorous, enterprise-level model information management. Regulators now want to evaluate bank models to access their trustworthiness – not blindly accept the numbers they generate.
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Технический документ
The Analytics Mandate: Generating profits in difficult economic and regulatory timesLearn how and why banks need to apply more analytics for real-time decision making and multichannel marketing as consumers continue to migrate to digital channels and generate more data.
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Технический документ
Best Practices of Business-Specific Stress TestingDiscover why banks today cannot afford to take a "check the box” approach to stress testing that focuses exclusively on compliance. What is needed is business-specific stress testing that helps decision makers better manage the real risks to their business.
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Технический документ
AML Customer Risk RatingThis paper is geared toward the technical audience to describe the benefits of, and how to adopt, statistical modeling for AML and CDD.
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Технический документ
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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Технический документ
Comprehensive Stress TestingLearn how having the right data and analytical software enables you to quickly simulate different environmental conditions or risk scenarios to understand their effect on the financial position of your bank.
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Технический документ
Enterprise Risk Mitigation for Community Banks To help meet fraud and AML challenges, SAS and Jack Henry Associates have partnered to offer JHA Enterprise Risk Mitigation Solutions™ (ERMS), a cloud-based customization of SAS Visual Investigator that converges fraud detection and AML compliance in a single, intuitive, visual workspace.
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Технический документ
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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Технический документ
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. This paper presents a high-level view of best practices for getting this right, including recommendations for organizational structure, data management, model development and management, systems and processes, governance and controls, reports and documentation.
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E-Book
Making Sense of AIThis e-book explores the current boundaries of AI, as well as the many ways that modern AI applications can improve our understanding of the world and enable us to make better, faster decisions.
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E-Book
Your real-world guide to combating cyberthreatsFind and stop risks inside your network with analytics
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E-Book
An Early Adopter's Guide to HadoopRead interviews with two Hadoop customers and two Hadoop implementors, plus Hadoop adoption survey results and tips for big data management - all in one convenient ebook package.
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Технический документ
The Current State of Banking Stress Testing Technology: Closing the GapsThis paper examines the current state of stress testing capabilities of banks, as revealed in a recent GARP and SAS stress testing survey. It explores key areas of weakness and shares how SAS addresses them by taking a technology-focused, platform-based approach to stress testing.
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Технический документ
Using SAS Marketing Optimization to improve credit-line optimizationLearn how SAS Marketing Optimization enables credit line optimization to balance the needs of managing risk exposure and achieving an acceptable rate of return at the portfolio level, as well as to devise a structured approach and advanced methodology that supports credit line strategy.
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Технический документ
Understanding Data Streams in IoTThis paper explains how streaming analytics helps you acquire, understand and use real-time, streaming data to make fact-based, automated decisions – and instantaneously react to new information.
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Технический документ
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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Технический документ
Liquidity Optimization Learn about how the complete liquidity optimization solution from SAS helps banks stay profitable while meeting liquidity requirements.
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Технический документ
Six Keys to Credit Risk Modeling for the Digital AgeModernizing 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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Технический документ
Elements of Business-Driven Stress TestingLearn why banks need a way to operationalize and automate mandatory stress testing to free up resources for value-added, business-specific stress testing that can help decision makers walk the tightrope between opportunity and risk – and drive better performance.
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Вебинар
Управление нефинансовыми рисками в свете новых требований Банка России и роль внутреннего аудитаНовые требования Банка России к системе управления операционным риском обязывают финансовые организации привести практики управления в соответствие с нововведениями. Чтобы правильно выстроить приоритеты задач и разобраться в тонкостях вышедших требований, приглашаем вас на вебинар.
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Article
Ситуационная осведомленность определяет нашу реакциюМногие обстоятельства требуют ситуационной осведомленности, то есть осознания того, что происходит вокруг. Пандемия COVID-19 усилила эту потребность, поскольку лидеры во всех отраслях использовали аналитику и визуализацию, чтобы получать ситуационную осведомленность в реальном времени и быстро реагировать на важные решения.
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Вебинар
Практика управления нефинансовыми рисками в свете новых требований Банка РоссииУзнайте как правильно выстроить приоритеты задач и разобраться в тонкостях вышедших требований Банка России к системе управления операционным риском
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Аналитический отчет
Risk Technology Awards 2020Consumer credit modelling software of the year – SAS
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Аналитический отчет
Chartis RiskTech Quadrant for Credit Risk Solutions 2020 -
Article
Как российские банки осваивают цифровую трансформацию и проявляют устойчивость к внешним влияниямЧитайте интервью с Алексом Квятковски, главным консультантом банковской отрасли SAS, о текущем и будущем состоянии российской банковской отрасли.
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E-Book
Как эффективно бороться с легализацией преступных доходов 5 шагов к успехуТекущая действительность требует неотложных действий по модернизации и внедрению инновационных подходов с решениями AML следующего поколения. Финансовые организации могут удовлетворить эти потребности с помощью комплексного, надежного решения, которое в полной мере использует данные и аналитику для устранения пробелов в функциональности, присущих процессам многих организаций.
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Article
Under siege: Improving customer experience in bankingBanks are ranking low in customer satisfaction, but improvement is possible says Digital Banking Report owner and publisher Jim Marous.
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Customer Story Райффайзенбанк перешел на Базель II с помощью SASКомпания SAS внедрила Систему для расчета величины кредитного риска (RWA) по подходу, основанному на внутренних рейтингах ПВР Базель II.
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Customer Story «Киви Банк» проверяет благонадежность клиентов с помощью SASЧтобы принимать решения о выдаче карты рассрочки «Совесть», в банке был построен кредитный конвейер на базе SAS Real-Time Decision Manager
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Customer Story Банк «Санкт-Петербург» внедрил SASАвтоматизация процессов целевого маркетинга позволила ускорить вывод новых предложений на рынок, повысить отклик со стороны клиентов и объем продаж.
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Customer Story
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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Технический документ
Machine Learning Use Cases in Financial CrimesUnlike rules-based systems, which are fairly easy for fraudsters to test and circumvent, machine learning adapts to changing behaviors in a population through automated model building. With every iteration, the algorithms get smarter and more accurately find activities that represent risk to the firm.
It’s easy to see the value of machine learning for keeping pace with evolving fraud tactics. Learn 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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Аналитический отчет
Chartis FinTech Quadrant for CECL Technology Solutions 2018This Chartis research paper covers the FinTech Quadrant for CECL Technology Solutions for 2018.
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Аналитический отчет
SAS Is Helping Standard Chartered Comply with IFRS 9 Quickly and Cost Effectively -
Аналитический отчет
Chartis RiskTech Quadrant for Credit Risk Solutions 2018This Chartis research paper covers the RiskTech Quadrant for Credit Risk Solutions for 2018.
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Аналитический отчет
Top Strategic IoT Trends and Technologies Through 2023In this report, Gartner examines 10 longer-term IoT technologies and trends that will be important in the 2018 through 2023 time frame.
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Article
Four focus areas for successful stress testingStress testing is not new to the risk world. But the increased complexity, expected frequency and firm-wide nature of scenarios present new challenges. That being said, to deliver a successful stress testing program, there are four key areas you should address.
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Article
ИИ в банковской сфере: опрос раскрывает факторы успехаЧто банковские руководители говорят о своем опыте работы с ИИ? На чем они сосредоточены сегодня? Что работает? Какие у них планы на будущее?
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Customer Story
Modernizing consumer lending in VietnamVietCredit aims to revolutionize the consumer finance market with SAS.
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Customer Story
Поиск лучших клиентов с помощью аналитикиSeacoast Bank enhances customer value using AI and SAS Visual Analytics on SAS Viya.
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Customer Story
Preventing crime and ensuring compliance at 120 Nordic banksSDC enables small and medium financial institutions in four Nordic countries to stay compliant.
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Customer Story
«Первое кредитное бюро» предложило новую услугу на базе инструментов аналитики SAS и облачной платформы StatCloudОблачная интерактивная среда, построенная на решениях компании SAS, позволяет клиентам Бюро анализировать свой портфель и видеть свои позиции относительно остального финансового рынка.
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Customer Story
Accelerating the evolution of risk analyticsRaiffeisenlandesbank Niederösterreich-Wien AG gains speed and accuracy with SAS High-Performance Risk.
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Customer Story
Making faster, better lending decisionsLocal Government Federal Credit Union sees efficiency gains with SAS.
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Customer Story
Fast-growing bank wins market share with cloud solutionICA Banken cut marketing campaign design from six weeks to one day and increased conversions tenfold.
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Технический документ
Fighting Insurance Application Fraud Fraud has always been a threat, but the risk escalates as more business is conducted through digital devices and the internet. Since fraud risk can start at the point of application – providing financial gain to customers and/or agents – it makes sense to have strong tools in place to monitor the digital application process. This paper presents analytics-driven methods to:
• Verify the identity of the individual making the application.
• Identify the potential for future claims fraud at the point of application.
• Spot customers gaming the system to their advantage when using direct channels.
• Detect insurance agents who are gaming the system in broker channels.
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Article
Мобильные платежи, смурфы и новые угрозыИнновации охватили весь мир – даже где-нибудь в глухой кенийской деревне мобильный телефон служит местному жителю виртуальным кошельком. Но почему эта новая технология может стать потенциальным препятствием в борьбе с отмыванием доходов?
