Why choose SAS® for banking analytics?
Evolve your analytics and AI strategy with market-leading solutions from SAS that will help your bank grow, innovate and form deeper connections with customers through better insights.
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 quickly adapt to changes
SAS has acquired Kamakura Corporation, a leading provider of risk management software and data for the banking and insurance industries.
Banking Analytics Solutions
Ensure your bank's success in an evolving digital world. Leverage analytics, AI, cloud, open banking APIs, fintech and regtech technologies. Manage increasing regulatory demands. Stop fraud in its tracks. Maximize return on capital. Achieve operational excellence. And create personalized customer experiences that increase engagement.
Customer Success
Banks Working Smarter With SAS®
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Turning stress testing into a competitive advantage with advanced analytics
One of the most highly rated banks in the world, Standard Chartered Bank uses SAS to meet stress-testing requirements, as well as calculate the impairment cost of a crisis and the resulting impacts on the bank’s income statement and balance sheet. This has allowed the bank's risk analytics capabilities to gain both scale and scope.
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Understanding the needs of banking customers in the digital economy
Jyske Bank uses SAS to plan everything from traditional events to email campaigns and digital advertising. Learning is built into the platform, so the digital sales team can better understand how different types of communication affect each customer and which channels to use. The bank can track the influence in real time and adjust the approach as needed.
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Rapidly exploring and analyzing data in easy-to-interpret reports.
OTP Bank Romania, one of the largest financial groups in Central and Eastern Europe, uses SAS to gain on-demand insights for making well-informed decisions. By introducing predictive analytics into its modeling and portfolio management activities, the bank can ensure control over the quality of loan originations, achieve more accurate prediction of business and risk outcomes, and meet profitability targets required for its loan portfolios.
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Transforming bank operations with advanced analytics and AI in the cloud
SAS is helping the National Bank of Greece pursue digital transformation backed by advanced analytics in its quest to become more agile and modern while improving profitability. The bank has also prioritized relationships with customers to become the bank of choice for businesses and private individuals.
SAS în industria bancară – Date și cifre
>3,500
clienți din domeniul serviciilor financiare în lume
>90%
din primele 100 de bănci globale folosesc SAS
92
țări cu bănci care folosesc SAS
TEHNOLOGII GENERICE
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