List of SAS Dynamic Actuarial Modeling Customers
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Since 2010, our global team of researchers has been studying SAS Dynamic Actuarial Modeling customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased SAS Dynamic Actuarial Modeling for Analytics and BI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using SAS Dynamic Actuarial Modeling for Analytics and BI include: Utwin, a France based Communications organisation with 1925 employees and revenues of $481.0 million, Neova Sigorta, a Turkey based Insurance organisation with 441 employees and revenues of $325.0 million and many others.
Contact us if you need a completed and verified list of companies using SAS Dynamic Actuarial Modeling, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Neova Sigorta | Insurance | 441 | $325M | Turkey | SAS Institute | SAS Dynamic Actuarial Modeling | Analytics and BI | 2024 | Sade Turkey |
In 2024 Neova Sigorta began deployment of SAS Dynamic Actuarial Modeling to modernize auto premium pricing, aligning the initiative with its Analytics and BI roadmap for pricing and underwriting. The project scope targets ML based rate making across underwriting and pricing functions in Turkey and is being executed with SAS partner Sade Turkey, with a staged production go live planned for 2025.
The implementation centers on actuarial model development and operationalization capabilities provided by SAS Dynamic Actuarial Modeling, including model development for machine learning rate setting, model validation and versioning, and automated rate generation for ratebook updates. Configuration emphasized reproducible model workflows and model governance artifacts common to Analytics and BI deployments, supporting direct actuarial control over feature engineering and experiment management.
Operationally the solution is positioned to feed underwriting decision processes and pricing workflows, with model scoring and rate outputs consumed by underwriting and pricing teams across Neova Sigorta in Turkey. Deployment architecture follows a centralized analytics platform pattern, where SAS Dynamic Actuarial Modeling houses the model lifecycle while scoring artifacts are exported into existing pricing operational channels used by underwriting and distribution teams.
Governance and rollout are structured as a phased program, implemented with Sade Turkey starting in 2024 and scheduled for phased activation in 2025, with explicit emphasis on actuarial model governance and change control during rollout. The program explicitly aims to deliver better prices to up to 95% of customers and to improve sales and combined ratio as projected once the SAS Dynamic Actuarial Modeling platform is in production.
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Utwin | Communications | 1925 | $481M | France | SAS Institute | SAS Dynamic Actuarial Modeling | Analytics and BI | 2023 | n/a |
In 2023, Utwin implemented SAS Dynamic Actuarial Modeling within an Analytics and BI program to provide actuarial and business teams in France with companywide access to data and analytics focused on borrower insurance. The deployment used the SAS Viya platform as the runtime foundation for the SAS Dynamic Actuarial Modeling application, aligning model execution and analytical workloads with a cloud-capable analytics architecture.
Configuration centered on actuarial model authoring and scenario analysis workflows, model lifecycle management, batch scoring and analytical reporting, reflecting typical capabilities of Analytics and BI implementations for insurance actuarial domains. SAS Dynamic Actuarial Modeling was used to centralize model artifacts and automate routine calculation pipelines, enabling more consistent model governance and repeatable simulations across teams.
Operational coverage emphasized actuarial and commercial business functions across Utwin in France, with role-based access controls, model governance controls and audit logging applied to support controlled, companywide access to analytic outputs. The implementation supported borrower insurance analytics and gave actuarial and business users faster access to consolidated data and analytics, consistent with Utwin’s documented adoption of SAS Viya for actuarial workflows.
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