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).
What is the SAS Insurance Analytics Architecture?
It’s an integrated solution that consolidates and standardizes insurance data from legacy and modern systems, delivering consistent, accurate insights through BI and reporting tools.
What are key features of the SAS Insurance Analytics Architecture?
The architecture includes a comprehensive insurance data model with over 5,000 standardized elements, allows data cleansing across formats, supports P&C and life lines and offers web-based reporting and visualization.
What business outcomes does the architecture deliver?
Users benefit from consistent, timely, verified data, reduced tools and vendor overlap, lower costs, faster deployments and unified decision-making through a single version of the truth model.
What resources are available to support implementation?
The SAS Support page includes documentation, technical support, how-to videos, training and a support community where users can get tips and share knowledge.