Where leaders, users and partners come together to learn and level up.
Why choose insurance analytics solutions from SAS?
SAS helps insurers make confident, transparent decisions with unified AI, analytics and governance. Our deep industry expertise and cloud-native platform streamline underwriting, claims, fraud, risk and finance – modernizing operations, providing regulatory compliance and delivering measurable value throughout the insurance life cycle.
SAS in Insurance: Facts & Figures
We know your industry. SAS analytics meets the needs of insurance businesses of all sizes. Our experts have the deep industry expertise to understand and solve your nuanced challenges.
>1,400
insurance companies are using SAS worldwide
90%
of insurance companies on the Fortune Global 500 rely on SAS
47
of the top 50 largest global insurers choose SAS
How can insurance analytics solutions transform your business?
From customer experience to fraud detection and risk management, our insurance analytics solutions are tailored to meet your company's unique needs.
Choose SAS: A leader in insurance analytics innovation
SAS® Viya® empowers insurers to make trusted, transparent decisions across the insurance life cycle using advanced analytics and AI.
Drive trusted decisions across the insurance life cycle. Confidently automate and optimize underwriting, claims, fraud, risk and actuarial workflows with unified analytics and AI that deliver consistent, explainable decisions at scale.
Build governance, compliance and transparency into every decision. Operationalize advanced analytics and AI with embedded governance, fairness monitoring, explainability and continuous monitoring to meet regulatory expectations across pricing, reserving, fraud detection and financial reporting.
Accelerate productivity and measurable insurance outcomes. Automate analytics workflows across data preparation, modeling and deployment to reduce manual effort, shorten decision cycles and deliver faster ROI across underwriting, claims, customer experience and risk operations.
Enable cloud-native agility with open, scalable analytics. Deploy and scale models anywhere (on-prem, hybrid or multi-cloud), while integrating open source and advanced analytics in a single, cloud-native platform designed for insurance scale.
We help our customers innovate for tomorrow
SAS is a leader in insurance analytics
SAS was recognized in the Celent Insurance Fraud Detection Solutions: Property and Casualty Insurance, 2022 Edition.
Insurance analytics from SAS:
Frequently asked questions
What is insurance analytics from SAS?
Insurance analytics from SAS uses data and AI to help insurers prevent fraud, ensure compliance, manage risk and improve profitability while elevating policyholder experiences.
How widely used is SAS in the insurance industry?
Over 1,400 insurance companies use SAS globally. 90% of insurance firms in the Fortune Global 500 rely on SAS, and 47 of the top 50 largest insurers choose SAS.
What solutions does SAS offer for insurers?
SAS provides tailored solutions in three main areas: customer experience, fraud & financial crime detection, and risk & compliance, with AI and IoT capabilities.
What real-world success has SAS achieved in insurance?
SBI General Insurance saw a 20 – 25% improvement in customer engagement and retention. Aksigorta boosted fraud detection by 66% – it now detects organized fraud in 30 seconds (versus six months). HDI Seguros increased fraud instances identified by 43% (2021 to 2022).
How does SAS help insurers manage regulatory compliance?
SAS operationalizes compliance through embedded governance, fairness monitoring, explainability, and continuous model monitoring, delivering auditable, transparent AI decisions that meet regulatory expectations across pricing, reserving, fraud detection and financial reporting.
How does SAS use AI to improve the policyholder experience?
SAS uses real-time analytics and AI agents to personalize policyholder interactions, automate routine service workflows and reduce friction at every touchpoint, helping insurers improve retention and engagement without sacrificing operational efficiency.