Why choose banking analytics solutions from SAS?
Combat fraud and manage risk and compliance – all while improving the customer journey and boosting profitability with solutions using AI agents.
SAS in Banking: Facts & Figures
We know your industry. SAS analytics meets the needs of banking businesses of all sizes. Our experts have the deep industry expertise to understand and solve your nuanced challenges.
>1,600
banks are using SAS worldwide
>90%
of the top 100 largest global banks choose SAS
92
countries with SAS banking customers
How can you evolve your banking data and AI strategy to make trusted decisions?
SAS banking analytics solutions help you make trusted decisions with AI and data tools designed for your business needs, from customer experience to fraud detection and risk management.
Choose SAS: A leader in banking analytics innovation
SAS® Viya® helps bankers make smarter, faster decisions that generate trusted outcomes.
Drive sustainable return on capital through actionable insights.
Optimize risk-based decisions across your organization.
Increase customer trust by removing bias and producing responsible outcomes.
Enhance operational resiliency and adapt to changes with an open environment and flexible integration.
We help our customers innovate for tomorrow
SAS is a leader in banking analytics
SAS ranks No. 2 overall in the prestigious Chartis RiskTech100®, 2025 – with six category wins.
Banking analytics from SAS:
Frequently asked questions
What is banking analytics?
Banking analytics refers to the use of data analysis tools and techniques to help banks make better decisions, improve customer experience, manage risks and optimize operations. SAS offers banking software with data-driven, AI-powered solutions designed to accelerate decision making across customer experience, fraud and financial crimes, and risk management in banking.
Why choose SAS for financial services analytics?
SAS is a global leader in data and AI and is recognized as a leader in risk management software and financial crimes compliance. In banking, SAS works with over 1,600 banks globally, including more than 90% of the top 100 largest global banks, across 92 countries.
What software is available for customer experience analytics?
SAS provides comprehensive integrated marketing analytics that enable behavioral analytics, user journey mapping, customer engagement strategies and customer satisfaction metrics using data and AI.
How do banks detect fraud and financial crimes?
Banks use financial crime compliance solutions from SAS for advanced AI and machine learning, including real-time decisioning, to detect application and identity fraud, payment fraud and financial crimes with tools for alert triage, case management and scenario modeling.
What software solutions do banks use to manage risk management?
Banks use a variety of sophisticated software solutions to manage financial, operational, credit and regulatory risks. SAS offers risk management software for asset and liability management, credit risk, enterprise stress testing, expected credit loss, risk modeling and risk governance. SAS is recognized in banking risk management, ranking No. 2 in Chartis RiskTech100 2025 with multiple category wins.
What is SAS Viya, and how does it support banking?
SAS Viya is a cloud-native analytics platform that enables banks to unify data, deploy AI models and make real-time decisions across risk management, fraud and financial crimes, and customer intelligence. It supports banking by accelerating regulatory compliance, enhancing credit scoring and credit risk and optimizing customer experiences through scalable, secure analytics.
How does AI benefit banking?
AI from SAS empowers banks to detect fraud, manage risk and personalize customer experiences with speed, precision and transparency. By combining machine learning, GenAI and explainable models, SAS helps financial institutions automate decisions, streamline compliance and improve outcomes across the entire banking life cycle.
How can banks stay compliant?
SAS can help banks comply with global sanctions with anti-money laundering (AML) software that uses AI-driven analytics to automate watch-list screenings and reduce false positives. Its scalable platform performs know your customer (KYC) checks and transaction monitoring systems for fast, accurate and explainable decisions.