In its current AML offering, the vendor provides an overall robust solution. Key management for encrypting data is explicitly configurable. Rules based and AI/ML based risk scoring is nice and functional. The solution can also provide rule recommendations. Workflow for model building is also very nice. Case management screen customization and usability is superior.
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Article
Detect and prevent banking application fraudCredit fraud often starts with a falsified application. That’s why it’s important to use analytics starting at the entrance point. Learn how analytics and machine learning can detect fraud at the point of application by recognizing the biggest challenge – synthetic identities.
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White Paper
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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White Paper
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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White Paper
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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Customer Story
Managing risk to move faster in the marketplaceBendigo and Adelaide Bank better positioned to manage risk using SAS® Credit Risk Management solutions.
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Article
Online fraud: Increased threats in a real-time worldOnline and mobile banking is convenient for customers -- and an opportunity for fraudsters. With fraud methods constantly evolving, an analytical approach is a must for banks seeking early, accurate detection.
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Analyst Report
SAS is a Leader in The Forrester Wave™: Anti-Money Laundering Solutions, Q3 2022SAS 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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White Paper
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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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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White Paper
Next-generation AMLSix tips to modernize your fight against money laundering.
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Analyst Report
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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White Paper
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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Article
Rethink customer due diligenceTo streamline compliance and protect against financial and regulatory risk, re-examine your customer due diligence processes and technologies regularly. With new analytical tools, you can monitor customer transactions or personal information in real time, and accurately segment customers by the risk they represent.
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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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Article
What do drones, AI and proactive policing have in common?Law enforcement and public safety agencies must wrangle diverse data sets – such as data from drones – in their proactive policing operations. To be most effective, they need modern tools that support AI techniques like machine learning, computer vision and natural language processing.
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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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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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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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Article
Marketing optimization: Five lessons learned at a major US bankHow does a bank know what you need when you visit its website, open the mobile banking app or walk into the branch? For one of the largest banks in the US, the answer is marketing optimization. Here are five lessons they’ve learned.
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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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Customer Story
Fast track to advanced operational risk managementBank of India uses SAS Governance and Compliance Manager for operational risk management capabilities to improve loss data quality and reporting.
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Article
Equifax uses trended data to better qualify loan applicantsMachine learning for credit scoring has helped Equifax analyze consumer data over time to determine which borrowers are trending in a positive direction and develop a more accurate measure than credit scores.
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White Paper
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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Article
Improve child welfare through analyticsWith 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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Customer Story
Advanced analytics and machine learning help Poste Italiane identify and stop fraud in real time while enhancing customer experienceItaly’s largest service distribution network relies on predictive analytics from SAS to detect fraud with greater precision and reduce losses.
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Customer Story
Accelerating stress testing in the cloudIntesa Sanpaolo enhances efficiency and meets stress-testing requirements six times faster with SAS Viya.
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White Paper
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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Article
Medicaid and benefit fraud in 2018 and beyondTo curb the growing amount of Medicaid and benefit fraud and improper payments, agencies and their commercial counterparts need fraud and abuse detection systems with data management and analysis that can keep up and even stay one step ahead.
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White Paper
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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White Paper
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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Customer Story
Turkish insurer achieves real-time fraud detectionAksigorta uses advanced analytics to increase fraud detection rate by 66 percent.
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Analyst Report
IDC MarketScape: Worldwide Responsible Artificial Intelligence for Integrated Financial Crime Management Platforms 2022 Vendor AssessmentLearn why SAS is positioned in the Leaders category in the 2022 IDC MarketScape for worldwide responsible artificial intelligence for integrated financial crime management platforms.
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Article
4 strategies that will change your approach to fraud detectionTechnology advances are giving financial institutions a better arsenal than ever for fraud detection. Take a look at four ways to turbocharge your defenses.
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Customer Story
Optimization delivers more revenue while slashing marketing costsMarketing optimization helps Akbank cut campaign costs by 50 percent, and dramatically reduce time spent producing campaigns from days to hours.
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Article
frtb: a wait and see strategy could be riskyFRTB, fundamental review of the trading book, is a regulation that changes how banks analyze market risk in the trading book to address systemic challenges.
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White Paper
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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White Paper
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
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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E-Book
High velocity decisions. Trusted outcomes.Protecting against fraud, money laundering and public security challenges requires making intelligent decisions that guide swift, effective actions.
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Customer Story
Making faster, better lending decisionsLocal Government Federal Credit Union sees efficiency gains with SAS.
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White Paper
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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Customer Story
SAS Visual Analytics helps ČSOB bank improve credit risk management and regulatory complianceČeskoslovenská obchodní banka, a. s. (CSOB) provides its services to all client segments, i.e., individuals, small and medium-sized enterprises, and corporate and institutional clients.
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Article
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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White Paper
The balance sheet risk conundrumHow SAS and Microsoft are modernizing asset liability management and liquidity risk management in turbulent times.
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White Paper
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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Analyst Report
Chartis RiskTech Quadrant for Trade-Based AML Solutions 2022SAS is named a category leader in the Chartis RiskTech Quadrant for Trade-Based AML Solutions, 2022.
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Analyst Report
Chartis RiskTech100 2024SAS climbs to No. 2 in the prestigious Chartis RiskTech 100®, 2024, and bested seven technology award categories, including AI for Banking, Behavioral Modeling and Enterprise Stress Testing.
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White Paper
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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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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White Paper
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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Article
New attitudes for liquidity risk managementRecent liquidity risk shocks and regulatory pressures have highlighted the need for agile liquidity risk management and planning systems. To manage liquidity risk more strategically, banks will need the right strategy, solution architecture and IT systems – plus governance to manage the process.
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Customer Story
Home Creditu se vyplatila sazka na SAS namisto externi agentury -
Article
How can analytics change the world of 'Narcos'?Surveillance, wire-taps, interrogations, informants… all valuable intelligence gathering techniques. But modern law enforcement and federal agents are now aided by a new technology to zero in on drug trafficking: analytics.
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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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Analyst Report
Chartis RiskTech Quadrant for Watchlist and Adverse Media Monitoring 2024 -
Analyst Report
Celent Insurance Fraud Detection Solutions: Property and Casualty Insurance, 2022 EditionSAS is a Luminary in Celent's Insurance Fraud Detection Solutions: Property and Casualty Insurance, 2022 Edition.
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White Paper
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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Article
Stop contract and procurement fraudFraud affects an estimated 30 percent of organizations' procurement processes. Beyond business rules and anomaly detection, analytics can detect and prevent fraud and preserve the integrity of the procurement process.
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White Paper
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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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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White Paper
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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White Paper
Managing Models and Their RisksComputational and technological challenges present opportunities for a fast-evolving risk management discipline.
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Article
How to uncover common point of purchaseBanks that want to stay ahead of CPP and contain the costs of fraud need to implement advanced anti-fraud techniques.
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Customer Story
Advanced analytics can detect and prevent insurance fraud before losses occur -
Article
Continuous monitoring: Stop procurement fraud, waste and abuse nowProcurement fraud, waste and abuse silently robs businesses an average of 5% of spend annually. And even when organizations invest in detection methods, they’re often let down by their techniques. Learn what continuous monitoring is and why this proven analytical method is key to fighting back.
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Article
From lab to lifeOnce you've created your analytical model, you need to put it to use. Here are tips from finance industry experts to get your models in the hands of users.
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Article
Managing fraud risk: 10 trends you need to watchSynthetic identities, credit washing and income misrepresentation – these are just some of the trends to watch if you’re trying to understand how to manage fraud risk. Find out what’s on the top 10 list of trends according to experts like Frank McKenna and Mary Ann Miller.
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Analyst Report
Chartis names SAS a leader in both Model Risk Governance and Model Validation, 2023.Chartis names SAS a leader in both Model Risk Governance and Model Validation, 2023.
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Customer Story
Replacing an external agency with SAS paid off for Home Credit -
White Paper
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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White Paper
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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Article
5 steps to sustainable GDPR complianceFollow these steps to achieve GDPR compliance by the May 2018 deadline – and get added benefits along the way.
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Article
When it matters: Safeguarding your organization from the insideWith evolving threats, fraud detection technologies have to be flexible and nimble, and automated risk detection is a crucial component of decision advantage.
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White Paper
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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Article
Top prepaid card fraud scamsThe margin for prepaid cards is slim, so it's particularly important to root out the scams. Here are some tips for combating and mitigating prepaid card fraud.
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White Paper
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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Interview
Data visualization: A wise investment in your big data futureData visualization technologies can help the practice of data-driven decision making really take hold. But putting data visualization software in the hands of business users? Is it crazy – or crazy smart?
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Analyst Report
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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Article
Insights Page
Why banks need to evolve their approach to climate and ESG riskManaging environmental, social and governance (ESG) risk is important to banks, regulators, investors and consumers – yet there are many interpretations of how to do it. To thrive, organizations must evolve their risk management practices – including those affected by ESG risk.
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Customer Story
A faster, comprehensive way to manage portfolio riskBank of India uses SAS to improve risk analysis, automate processes and meet both regulatory and internal requirements.
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Article
Should banks adopt regulations as best practices?The regulatory tsunami isn't letting up, but is there value to be gained in adopting, for instance, BCBS 239 principles?
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White Paper
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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White Paper
Payments Without BordersMitigating fraud risks in cashless payments by holistically understanding your customers across all channels.
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Case Study
Thwarting disruption with strategic investments in innovationNational Australia Bank turns to innovative strategies, like hackathons, to find new solutions to emerging challenges.
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Article
Risk data infrastructure: Staying afloat on the regulatory floodWhat are the challenges of a risk data infrastructure and how can they be addressed? Here's what you need to know to build an effective enterprise risk and finance reporting warehouse that will effectively address compliance requirements.
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White Paper
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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White Paper
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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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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Customer Story
Building reliability in riskBanca Mediolanum uses SAS Viya to develop high-performing, reliable credit scoring models.
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Article
Next generation anti-money laundering: robotics, semantic analysis and AIAnti-money laundering taken to its next level is sometimes referred to as AML 2.0 or AML 3.0. What does this next wave of AML technology look like? What can it do that you can’t do with traditional AML? See the results innovative financial institutions around the globe are already getting.
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Analyst Report
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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Customer Story
A risk-based approach to combat money laundering in IsraelSAS Anti-Money Laundering helps Ayalon Insurance monitor suspicious activity and meet challenging regulatory requirements.
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Customer Story
Cultivating a risk cultureBank of Baroda strengthens governance and fosters trust using SAS Governance and Compliance Manager.
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Article
Health care cost containment through big data analyticsHealth insurers are plagued by fraud, waste and abuse. For health care cost containment, an enterprise approach to payment integrity using data management and analytics can help. With this approach, payers can detect and prevent fraud; influence provider, employee and patient behavior; and substantially reduce costs.
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White Paper
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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Article
What is a risk model?Banks use multiple models to meet a variety of regulations (such as IFRS 9, CECL and Basel). With increased scrutiny on model risk, bankers must establish a model risk management program for regulatory compliance and business benefits. Begin the planning by clearly defining what a risk model is.
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White Paper
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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Customer Story
Finland’s top retail bank applies AI to improve customer service and credit scoringS-Bank provides better customer service and faster, more accurate loan processing time using SAS Viya on Azure.
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Customer Story
Climate-driven finance for a net-zero worldSAS Climate Risk Stress Testing on SAS Viya helps Intesa Sanpaolo plan, optimize and achieve net-zero targets by integrating governance and business strategies.
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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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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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Article
Intelligent policing: Data visualization helps crack down on crimeLearn how data visualization can give police real-time views of locations enriched with other data to help them make intelligent, fact-based decisions.
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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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Article
Know your blind spots in tax fraud preventionTax agencies sometimes miss fraud that's happening right under their noses – despite robust external fraud prevention efforts. Find out where traditional tax fraud prevention and detection efforts fall short, and how analytics can change that.
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Article
Uncover hidden financial crime riskEscalating threats call for a financial crime risk framework that uses powerful, visual, interactive techniques to proactively identify hidden risks.
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Article
Payment fraud evolves fast – can we stay ahead?Payment fraud happens when a criminal steals a person’s private payment information, then uses it for an illegal transaction. As payment trends evolve, so do the fraudsters. Banks and PSPs can fight back with advanced analytics techniques that adapt quickly to spot anomalies in behavior.
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White Paper
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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Customer Story
Fintech company’s rapid growth leads to consistent cloud strategyauxmoney saves resources, gains flexibility and scalability with risk management in the SAS Cloud hosted on Microsoft Azure.
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Article
Mobile payments, smurfs and emerging threatsM-payment remittances are replacing traditional banks and money services that have historically charged high fees for small transfers. Former US Treasury Special Agent John Cassara maps what he sees in the road ahead and gives advice for protecting your firm.
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White Paper
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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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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Article
Strengthen your payment fraud defenses with stronger authenticationThe rapid growth of digital wallets and payment applications ushered in many new payment fraud threats. Today, it’s more critical than ever to authenticate users. Learn four innovative to ways strengthen your authentication defenses while reducing false positives and protecting customers’ assets.
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Customer Story
Fast analytical defenseDeutsche Kreditbank AG combats fraud and money laundering with SAS.
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Article
Risk data aggregation: Transparency, controls and governance are needed for data quality and reportingFinancial institutions’ data aggregation and reporting techniques and systems are receiving increased attention both internally and externally. Find out how to take a comprehensive approach to BCBS principles and risk data aggregation and management.
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White Paper
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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White Paper
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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Analyst Report
dbInsight: SAS Viya is living large on AzureLearn how Azure provides the onramp to a new customer base to take advantage of SAS capabilities without having to make big enterprise software commitments.
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Article
How to prevent procurement fraudPerpetrated in several ways, procurement fraud is difficult to detect. Arm yourself with hybrid analytics that offer various approaches for cross-pollination of data and analysis.
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White Paper
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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White Paper
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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Customer Story
Finding your best customers with machine learningSeacoast Bank enhances customer value using AI and SAS Visual Analytics on SAS Viya.
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White Paper
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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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
From lab to lifeOnce you've created your analytical model, you need to put it to use. Here are tips from finance industry experts to get your models in the hands of users.
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White Paper
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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White Paper
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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Article
Putting an end to pay and chaseSophisticated technology-driven approaches can not only root out fraud in social benefits programs, but find it before payment is made. A proactive approach can reduce the 5 to 7 percent of government dollars that end up in fraudsters’ pockets.
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White Paper
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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Customer Story
Nationwide reduces fraud losses by 75%The world's largest building society chose SAS to lower its fraud losses - it realized a reduction of 75%.
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White Paper
Rethinking customer due diligenceHelp evaluate your organization's CDD processes and technology relative to current industry risks and regulatory requirements.
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Article
Are you good at scoring?Credit scoring is the foundation for evaluating clients who apply for a loan (or other types of exposure for the bank). It is not unusual for it to take up to 12 months to build and deploy a new credit scoring model. Reforming the process will help minimize losses, increase earnings and reduce operational risk.
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Customer Story
Advanced simulations and ‘stress-proof’ models help digital bank successfully navigate uncertain scenariosBanca Progetto relies on predictive analytics and a cloud-first approach to mitigate risk, better serve clients and plan for the future.
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Analyst Report
Chartis RiskTech Quadrant for Enterprise Fraud Solutions, 2023: Vendor AnalysisChartis RiskTech Quadrant for Enterprise Fraud Solutions, 2023 has named SAS a category leader for enterprise fraud solutions.
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Article
Model risk management: Vital to regulatory and business sustainabilitySloppy model risk management can lead to failure to gain regulatory approval for capital plans, financial loss, damage to a bank's reputation and loss of shareholder value. Learn how to improve model risk management by establishing controls and guidelines to measure and address model risk at every stage of the life cycle.
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Article
Improving customer experience with digital marketingAdvanced analytics can help bankers predict customer behavior and deliver personalized offers to customers just at the moment they're most open to receiving them.
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Customer Story
Calculating credit risk in half the timeTo stay compliant with Basel regulations, Yapi Kredi relies on SAS to handle millions of data sets.
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Article
How do you convince a doubting executive to invest in risk management?There is no magic formula to getting your execs to see the importance of a new path or technology, but there are some tried and true steps you can take. Take a look at these three tips for building your presentation.
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Article
Unemployment fraud meets analytics: Battle lines are clearly drawnMany fraudsters seized opportunities presented by the COVID-19 pandemic. During the crisis, unemployment fraud became a battleground between international criminal networks and government agencies. Learn how analytics can save billions – and deliver benefits to those truly in need.
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White Paper
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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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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Customer Story
Transforming the consumer banking experience through advanced analyticsCIMB Singapore uses SAS Viya to enhance business operations and keep pace with changing customer needs.
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White Paper
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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White Paper
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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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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White Paper
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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White Paper
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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Article
Analytics for prescription drug monitoring: How to better identify opioid abusePrescription drug monitoring programs (PDMPs) are a great start in combating abuse of prescription drugs, but they could be doing much more. Better data and analytics can inform better treatment protocols, provider education and policy decisions – and save lives.
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Analyst Report
Matrix: Payment Integrity In HealthcareAccording to this 2021 report on healthcare payment integrity from Aite, SAS' stability as a vendor, its brand recognition and its desirable product features outpace those of its peers.
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White Paper
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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Analyst Report
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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Customer Story
Transformation of the National Bank of Greece with SAS Viya on Microsoft AzureLeading Greek financial institution pursues digital transformation backed by advanced analytics to become the bank of choice for businesses and private individuals.
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White Paper
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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Article
Analytics: A must-have tool for leading the fight on prescription and illicit drug addictionStates and MFCUs now have the analytics tools they need to change the trajectory of the opioid crisis by analyzing data and predicting trouble spots – whether in patients, prescribers, distributors or manufacturers. The OIG Toolkit with free SAS® programming code makes that possible.
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Customer Story
Using artificial intelligence to better engage with customersDaiwa Securities uses analytics and machine learning from SAS to better meet customer needs.
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White Paper
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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Article
Understanding capital requirementsCredit risk classification systems have been in use for a long time, and with the advent of Basel II, those systems became the basis for banks’ capital adequacy calculations. What is needed going forward is an efficient and honest dialogue between regulators and investors on capitalization.
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Customer Story
SAS supports ČSOB bank in automating and optimizing reporting processesČeskoslovenská obchodní banka, a. s. (CSOB) provides its services to all client segments, i.e., individuals, small and medium-sized enterprises, and corporate and institutional clients.
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White Paper
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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Article
The online payment fraud stops hereBillions of dollars a year are lost to online payment fraud through channels that provide convenient – yet vulnerable – ways to shop and bank. See how to fight back and win with advanced analytics.
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Article
Data quality: The Achilles' heel of risk managementGiven the tightly regulated environment banks face today, the importance of data quality cannot be overstated. Beyond the obvious benefits of staying one step ahead of regulatory mandates, having accurate, integrated and transparent data drives confident, proactive decisions and supports a solid risk management foundation.
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White Paper
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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White Paper
What Lies BeneathThe prevalence of and approaches to procurement fraud in global business.
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White Paper
Keys to robust credit risk modeling and decisioning for better customer experienceModernizing 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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Analyst Report
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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Series
Digital transformation: Moving from handshakes to householding at ComericaFor Comerica, digital transformation entailed developing a new approach for an online economy while maintaining it's heritage of one-to-one relationships.
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White Paper
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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White Paper
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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White Paper
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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Article
Proactive detection – A new approach to counter terrorTo counter terror, investigative teams can better utilize the data they already have by applying a fresh approach with these steps to proactive detection.
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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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Article
6 ways big data analytics can improve insurance claims data processingWhy make analytics a part of your insurance claims data processing? Because adding analytics to the claims life cycle can deliver a measurable ROI.
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White Paper
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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Article
What was your data doing during the financial crisis?Financial institutions usually survive a crisis, then react to prevent it in the future. SAS' Mazhar LeGhari explains how data can help you break that cycle.
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Analyst Report
Matrix: Leading Fraud & AML Machine Learning PlatformsSAS is a best-in-class vendor in the most recent Datos Insights report, Matrix: Leading Fraud & AML Machine Learning Platforms.
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Article
Shut the front door on insurance application fraud!Fraudsters love the ease of plying their trade over digital channels. Smart insurance companies are using data from those channels (device fingerprint, IP address, geolocation, etc.) coupled with analytics and machine learning to detect insurance application fraud perpetrated by agents, customers and fraud rings.
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White Paper
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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Analyst Report
SAS is a Leader in The Forrester Wave™: AI Decisioning Platforms, Q2 2023.The Forrester Wave™: AI Decisioning Platforms, Q2 2023 recognizes SAS for seamlessly integrating world-class analytics for decisioning.
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Article
Applying technology to ensure voter integrity in electionsVoter integrity is becoming a serious concern for many elections. Recent disclosures of foreign influence campaigns using social media highlight the potential impact on the integrity of the democratic process. In monitoring your systems, technology can identify both legitimate and fraudulent activity; the balancing act is to minimize the impact on legitimate activity while preventing acts of cyber-criminals and fraudsters.
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White Paper
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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White Paper
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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Customer Story
Swiss financial institution uses advanced analytics to reimagine marketing and personalize customer experiencesPostFinance turns to SAS to automate and optimize campaigns for improved offers, more effective communications and higher response rates.
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White Paper
Modernizing Asset Liability ManagementChanging priorities in ALM technology, data and analytics.
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White Paper
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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White Paper
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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Article
Detecting health care claims fraudHealth care claims fraud could represent as much as 10 percent of total claims cost. Learn how to fight back with analytics.
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Article
How AI and advanced analytics are impacting the financial services industryTop SAS experts weigh in on topics that keep financial leaders up at night – like real-time payments and digital identity. See how advanced analytics and AI can help.
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Article
Retail cyber risk toleranceManage your data assets just as you would any of your physical assets by putting security plans in place for any and all contingencies.
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Article
Situational awareness guides our responses – routine to crisisMany circumstances call for situational awareness – that is, being mindful of what’s present and happening around you. The COVID-19 pandemic heightened this need, as leaders across industries used analytics and visualization to gain real-time situational awareness and respond with fast, critical decisions.
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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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White Paper
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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White Paper
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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Article
AI in banking: Survey reveals factors for successWhat do banking executives report about their experiences with AI? Where are they focusing today? What’s working? What are their plans for the future?
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Customer Story
Brazil tackles insurance fraud with AI and analyticsCNseg relies on SAS to thwart fraud, improves alert accuracy by 67%.
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White Paper
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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Article
Are you covering who you think you’re covering? How rigorous are you in determining membership eligibility? By some estimates, between 4 and 18 percent of all health plan benefits are paid in error due to eligibility fraud issues.
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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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Research
Containing health care costs: Analytics paves the way to payment integrityTo ensure payment integrity, health care organizations must uncover a broad range of fraud, waste and abuse in claims processing. Data-driven analytics – along with rapid evolutions in the use of computer vision, document vision and text analytics – are making it possible.
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Analyst Report
SAS is a Leader in The Forrester Wave™: Enterprise Fraud Management, Q2 2024 -
Customer Story
Revolutionizing fraud detection at TechcombankAward-winning Vietnamese bank slashes time needed for fraud detection to mere seconds using a SAS enterprise fraud solution.
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White Paper
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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Customer Story
Modernizing consumer lending in VietnamVietCredit aims to revolutionize the consumer finance market with SAS.
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Article
Fraud detection and machine learning: What you need to knowMachine learning and fraud analytics are critical components of a fraud detection toolkit. Discover what you’ll need to get started defending against fraud – from integrating supervised and unsupervised machine learning in operations to maintaining customer service.
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Article
Taking pre-emptive action to stem the tide of VAT fraud lossesEU countries lost an estimated €159.5 billion in VAT revenues to VAT fraud in 2014. The solution? Hybrid fraud analytics technology.
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Customer Story
Analytics powers anti-money laundering effortsSAS helps Landsbankinn reduce false positives and streamline investigation.
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