Explore resources related to banking analytics.
Learn six ways AI can help you improve marketing effectiveness.
To browse resources by type, select an option below.
-
- Select Resource Type
- Analyst Report
- Article
- Blog Post
- Book Excerpt
- Case Study
- Customer Story
- E-Book
- Executive Brief
- Fact Sheet
- Industry Overview
- Infographic
- Interview
- Overview Brochure
- Product Brief
- Research
- Series
- Solution Brief
- Video
- Webinar
- White Paper
- White Paper
-
Article
How to uncover common point of purchaseFraudsters use many techniques to steal card data. Banks that want to stay ahead of common point of purchase (CPP) and contain the costs of fraud need to implement advanced analytics techniques to strengthen their fraud prevention programs.
-
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.
-
Customer Story
Building reliability in riskBanca Mediolanum uses SAS Viya to develop high-performing, reliable credit scoring models.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
Customer Story
Forecasting helps Wescom Credit Union save millions of dollarsWescom Credit Union increases lending decision accuracy by at least 50%.
-
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.
-
Customer Story
Hyper-personalized offers help consumer finance company elevate the customer experienceHome Credit modernizes its marketing with SAS® Customer Intelligence 360 to increase engagement, boost efficiency and reduce costs
-
Customer Story
Intelligent, real-time fraud decisions in 50 millisecondsDeutsche Kreditbank achieves real-time fraud prevention at scale with SAS Viya on Amazon Web Services, reducing fraud and keeping legitimate payments fast and secure.
-
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.
-
Customer Story
Low-risk strategy delivers top-level returnsBank Leumi uses SAS to achieve superior shareholder returns in a competitive environment and with high capital reserves.
-
Customer Story
Making faster, smarter credit decisions while elevating customer experienceAutomated credit risk management process puts ABBANK at the forefront of Vietnam’s credit revolution.
-
Analyst Report
The Forrester Wave™: Real-Time Interaction Management, Q4 2025As noted in the Forrester report, SAS showcases its analytical expertise with a top-notch AI workbench, predictive modeling, real-time decisioning, and performance optimization.
-
Article
Why banks need to evolve their approach to climate and ESG riskManaging environmental, social and governance (ESG) risk is important to banks, insurers, regulators, investors and consumers – yet there are many interpretations of how to do it. To thrive, organizations must learn how to evolve their risk management practices.
-
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?
-
Article
Online payment fraud stops hereBillions of dollars each 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.
-
Customer Story
Automating credit decisions for a digital-first futureNexent Bank Romania relies on SAS Viya to facilitate real-time credit decisions, boosting productivity and customer satisfaction.
-
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.
-
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.
-
Article
4 strategies that will change your approach to fraud detectionTechnology advances are giving institutions a better arsenal than ever for fraud detection. Take a look at four fraud solutions to turbocharge your defenses. SAS BE
-
Customer Story
Banking on the power of data: The analytical approach to trust, performance and productivityIntesa Sanpaolo promotes a data-driven culture with support from SAS analytics.
-
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.
-
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.
-
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.
-
Analyst Report
Chartis RiskTech Quadrant for Watchlist and Adverse Media Monitoring, 2024SAS is a category leader in the RiskTech Quadrant for Name and Transaction Screening Solutions within the Watchlist and Adverse Media Monitoring Solutions, 2024 report.
-
Customer Story
Analytic models spotlight risky loansItaly’s Ministry of Economy and Finance uses advanced analytics on SAS Viya to quickly calculate risk on financial guarantees.
-
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.
-
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.
-
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.
-
Article
Understanding capital requirements in light of Basel IVMany financial firms are already using a popular 2012 PIT-ness methodology for internal ratings-based models. This article examines eight ways the industry is successfully using the methodology – and why this approach can bring synergies for banks, value for regulators, and major competitive advantages.
-
Customer Story
European Banking-as-a-Service leader strengthens its AML/CFT and fraud surveillance system with SASTreezor uses SAS Anti-Money Laundering to stay ahead of emerging risks, improve operational efficiency and expedite investigations.
-
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.
-
Customer Story
Getting more people behind the wheel with predictive modeling and personalized financing solutionsToyota Financial Services Italia uses SAS Viya to better understand customers, tailor communications and customize financing options for buying or leasing vehicles.
-
Customer Story
Stopping payment fraud in real timeThe Bank of East Asia uses SAS Fraud Management for payment fraud detection and prevention.
-
Analyst Report
Chartis RiskTech Quadrant for Model Risk Management, 2024Chartis names SAS a leader in both Model Risk Governance and Model Validation, 2024.
-
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.
-
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.
-
Customer Story
Strengthening information security and governance with unified risk managementAskari Bank is enhancing information security, governance and operations by unifying risk and compliance through SAS Governance and Compliance Manager, improving data integrity, transparency and workflow effectiveness.
-
Customer Story
Modernizing consumer lending in VietnamVietCredit aims to revolutionize the consumer finance market with SAS.
-
Customer Story
Reinventing credit risk management with integrated analytics and intelligent decisioningUOB transformed credit risk operations with SAS, delivering faster decisions, stronger governance and business value across Southeast Asia.
-
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.
-
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.
-
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.
-
Analyst Report
The Forrester Wave™: Anti-Money Laundering Solutions, Q2 2025SAS offers a strong framework for quantifying the ROI of its AML solution for its potential and existing customers.
-
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.
-
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.
-
Customer Story
AI and cloud fuel bank’s new era of fast, reliable credit risk reportingAbsa Bank streamlines reporting, optimizes compliance processes and advances model governance with SAS® Viya® on Amazon Web Services.
-
Analyst Report
The Forrester Wave™: Enterprise Fraud Management, Q2 2024As noted in the Forrester evaluation, "SAS provides a broad selection of out-of-the-box EFM machine learning models. ."
-
Customer Story
Better reporting yields better understanding of risk managementSAS Visual Analytics helps Erste Bank Croatia tackle diverse data for accurate analysis.
-
Customer Story
Fighting financial crime through a global anti-money laundering platformBangkok Bank uses advanced analytics from SAS to meet expanding anti-money laundering requirements for global operations and ensure compliance keeps pace with dynamic regulatory frameworks.
-
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?
-
Customer Story
Preventing crime and ensuring compliance at 120 Nordic banksSDC enables small and medium financial institutions in four Nordic countries to stay compliant.
-
Customer Story
Cultivating a risk cultureBank of Baroda strengthens governance and fosters trust using SAS Governance and Compliance Manager.
-
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.
-
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.
-
Analyst Report
Datos Matrix: Fraud and AML Case Management, 2025As one of the most established brands in financial crime solutions and applied analytics, SAS scored highest among all the vendors surveyed in terms of stability. It has client retention rates of more than 90% and sales and support staff in all markets globally.
-
Customer Story
Combating financial crime and terrorism financing with real-time sanctions screeningOrange Bank stays ahead of emerging risks and changing regulations with a cloud-based sanctions-screening solution from SAS and Neterium.
-
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.
-
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.
-
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.
-
Article
Next generation anti-money laundering: robotics, semantic analysis and AIAdding AI and machine learning to your anti-money laundering program can combat rising compliance pressures, complexity and risks. Learn about the results innovative financial institutions around the globe are getting from next-generation AML.
-
Customer Story
Predictive analytics empowers bank to act quickly with confidenceOTP Bank Romania can better assess risk, meet profitability targets and enhance customer satisfaction through a streamlined data mining process from SAS.
-
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.
-
Analyst Report
Chartis RiskTech Quadrant® for ALM Solutions, 2025SAS is named a category leader in Chartis Research's 2025 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.
-
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.
-
Article
Next generation anti-money laundering: robotics, semantic analysis and AIAdding AI and machine learning to your anti-money laundering program can combat rising compliance pressures, complexity and risks. Learn about the results innovative financial institutions around the globe are getting from next-generation AML.
-
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.
-
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.
-
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.
-
Customer Story
Stress testing becomes competitive advantage with advanced analyticsStandard Chartered Bank uses SAS Analytics to meet stress-testing requirements and assess the effect of crisis scenarios on its future P&L and balance sheet.
-
Analyst Report
Chartis RiskTech100, 2026SAS ranks #2 overall in the prestigious Chartis RiskTech100, 2026. Seven category wins are AI for Banking, Balance Sheet Risk Management, Behavioral Modeling, Enterprise Stress Testing, Capital Optimization, IFRS 9 and Model Risk Management.
-
Customer Story
Fintech company’s rapid growth leads to consistent cloud strategyauxmoney saves resources, gains flexibility and scalability with risk management in the cloud hosted on Microsoft Azure.
-
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.
-
Customer Story
Award-winning bank’s data-driven strategy boosts productivity, efficiency and customer centricityAn ‘analytics for all’ approach helps Banca Intesa Beograd foster informed decision making, innovation and sustainable growth.
-
Analyst Report
Chartis RiskTech AI 50, 2025SAS holds a strong third place overall in the world's foremost ranking of the Top 100 risk management and compliance technology providers. SAS also bested two technology award categories – Responsible AI Adoption and Use of AI in Retail Banking.
-
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.
-
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.
