List of SAS Dynamic Actuarial Modeling Customers
SAS Institute
100 SAS Campus Drive,
Cary, 27513-2414, NC,
United States
Cary, 27513-2414, NC,
United States
1 800-727-0025
Professional Services
12170
$3.2B
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: CNP Assurances, a France based Insurance organisation with 8479 employees and revenues of $42.78 billion, LVM Versicherung, a Germany based Insurance organisation with 12200 employees and revenues of $6.06 billion, SV SparkassenVersicherung, a Germany based Insurance organisation with 5000 employees and revenues of $4.55 billion, WorkSafe Victoria, a Australia based Insurance organisation with 1600 employees and revenues of $2.20 billion, Zenith Insurance, a Fairfax Company, a United States based Insurance organisation with 1300 employees and revenues of $685.0 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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AGPM Insurance | Insurance | 918 | $531M | France | SAS Institute | SAS Dynamic Actuarial Modeling | Analytics and BI | 2013 | n/a |
In 2013 AGPM Insurance implemented SAS Dynamic Actuarial Modeling to centralize actuarial modeling and technical result analysis. The SAS Dynamic Actuarial Modeling deployment was positioned as an Analytics and BI platform supporting actuarial pricing, technical bilan preparation, and product profitability analysis for the insurer.
Configuration focused on actuarial model development and repeatable analytics workflows, including frequency and cost analysis, calculation of S over P ratios, scenario impact studies for tariff evolution, and production of business plans and technical statements. The implementation supported model documentation and formalization of expressions of need for IT, and it was used for acceptance testing and recipe writing in support of product changes.
Operational coverage centered on the Group actuarial function with downstream support to commercial teams and policy administrators, and it was applied to AUTO, navigation de plaisance and Assistance product lines. The environment ingested core actuarial inputs such as claims and exposure records and interoperated with statistical tooling, notably R, which was used for spatial risk estimation work on the zonier RC Auto analysis.
Governance and rollout emphasized structured requirements, staged testing, and cross functional support to operational teams and enterprise projects, with actuarial owners producing formal business plans and technical bilans for tariff refonte studies. SAS Dynamic Actuarial Modeling at AGPM Insurance served as the primary Analytics and BI engine for pricing and technical actuarial workflows, and it institutionalized standardized analysis processes within the actuarial and commercial support functions.
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CNP Assurances | Insurance | 8479 | $42.8B | France | SAS Institute | SAS Dynamic Actuarial Modeling | Analytics and BI | 2012 | n/a |
In 2012, CNP Assurances deployed SAS Dynamic Actuarial Modeling from SAS Institute to establish an actuarial projection platform for individual savings, individual retirement and individual protection products. The deployment is classified as Analytics and BI and was designed to support IFRS 17 production by generating model points and aligning technical provisions with accounting positions. The implementation covered functional modules for model point generation, projection engines, technical provisions calculation, and a monthly reconciliation process between actuarial valuations and the detailed analytic general ledger. The scope included automation of variance calculations and rules to generate adjustment entries or justification reports for identified discrepancies. The technical architecture integrated SAS 9.4 and SAS Dynamic Actuarial Modeling with a Hadoop stack including HDFS, Hive, BigIntegrate and Spark for data ingestion, enrichment and transcodification, Oracle databases for policy and reserves storage, and consumption tools such as SAS Enterprise Guide and Tableau. The project executed a SAS Hadoop proof of concept with installation of a SAS 9.4 server and configuration of SAS Embedded Process on the Hadoop environment to enable distributed processing. Operational coverage focused on actuarial and accounting functions for Epargne individuel, retraite individuelle and prévoyance individuelle product lines, with platform administration and user management performed by the actuarial team. Governance and delivery artifacts produced included an expression of needs, a formal requirements specification, general functional specifications, project committee materials and Agile delivery tracked in JIRA, together with test and recipe work to validate normalized tables used in the monthly reconciliation process.
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Groupe CAM | Insurance | 270 | $286M | France | SAS Institute | SAS Dynamic Actuarial Modeling | Analytics and BI | 2022 | n/a |
In 2022 Groupe CAM implemented SAS Dynamic Actuarial Modeling as a core Analytics and BI capability to support actuarial functions across CAM BTP and CAM COURTAGE. The deployment was positioned to centralize model authoring and actuarial analytics for the companys insurance and reinsurance workflows, with primary users located in Strasbourg, Grand Est, France.
SAS Dynamic Actuarial Modeling was configured to provide standard actuarial capabilities including stochastic reserving, deterministic reserving, pricing model development, scenario and capital modeling, and a managed model library. The implementation emphasized model authoring, scenario management, batch scoring and report generation, aligning with actuarial workflows for valuation and pricing.
Data orchestration for SAS Dynamic Actuarial Modeling was aligned with policy, claims, reinsurance and finance data feeds, and with internal data preparation and ETL processes to ensure consistent inputs for reserve and pricing runs. Operational scope included actuarial, risk and finance teams, with the solution serving as the primary analytics layer for reinsurance modeling and cross-functional actuarial reporting.
Governance focused on model lifecycle controls, versioning, audit trails and formal sign off for valuation runs, integrating model governance into established actuarial workflows. Day to day operations reflected centralized model management and repeatable runbooks for scenario execution, supporting actuarial analysts and reinsurance review processes.
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Kobstaedernes Forsikring | Insurance | 330 | $240M | Denmark | SAS Institute | SAS Dynamic Actuarial Modeling | Analytics and BI | 2013 | n/a |
In 2013, Kobstaedernes Forsikring implemented SAS Dynamic Actuarial Modeling as part of its Analytics and BI tooling to centralize actuarial calculations and solvency reporting for the Copenhagen actuarial team. The deployment supported core actuarial business functions, including reserve computation and regulatory solvency workflows, and was positioned to feed monthly management reporting and ad hoc analytical extracts.
SAS Dynamic Actuarial Modeling was configured to execute statutory and internal reserve calculations, with explicit coverage for workers' compensation reserves and a reserve volatility bootstrap model incorporated into routine calculations. The implementation also supported QIS5 and ORSA solvency calculation workflows, tariff analysis for the property book, and profitability analyses, reflecting typical actuarial modeling, scenario calculation, and reporting capabilities within the Analytics and BI category.
The implementation was integrated into a SAS data warehouse that was developed in cooperation with SAS Institute, with data collection pipelines bringing property registry data from BBR into the warehouse for tariff and pricing analysis. Actuarial workflows ran against the centralized SAS data warehouse, enabling ad hoc extracts and monthly reporting to management, and the actuarial modelling environment interfaced with existing actuarial and risk reporting processes in Copenhagen.
Project governance was led through an internal project manager who oversaw the SAS data warehouse build and ongoing maintenance and development of the actuarial environment. Operational responsibilities included maintenance of the SAS data warehouse, monthly management reporting, and ongoing refinement of reserve and solvency calculation processes, with cooperation from external advisors on specific reserve matters as documented.
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LVM Versicherung | Insurance | 12200 | $6.1B | Germany | SAS Institute | SAS Dynamic Actuarial Modeling | Analytics and BI | 2011 | n/a |
In 2011 LVM Versicherung deployed SAS Dynamic Actuarial Modeling within its actuarial organization in Münster, Germany, as part of its Analytics and BI tooling for actuarial calculations. The evidence for the deployment includes an actuarial internship from July to September 2011 that involved direct development work and operationalization of actuarial code.
The implementation concentrated on authoring and configuring a SAS program to compute the tax deductible portion of insurance premiums, a functional capability of SAS Dynamic Actuarial Modeling used to standardize calculations for pricing and regulatory reporting workflows. Work performed during the internship also included market research to support product and pricing analysis, indicating the application served both quantitative actuarial processing and analytical support functions within the actuarial and product teams.
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Insurance | 441 | $325M | Turkey | SAS Institute | SAS Dynamic Actuarial Modeling | Analytics and BI | 2024 | Sade Turkey |
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Insurance | 78 | $15M | Colombia | SAS Institute | SAS Dynamic Actuarial Modeling | Analytics and BI | 2019 | n/a |
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Insurance | 773 | $511M | France | SAS Institute | SAS Dynamic Actuarial Modeling | Analytics and BI | 2017 | n/a |
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Insurance | 5000 | $4.6B | Germany | SAS Institute | SAS Dynamic Actuarial Modeling | Analytics and BI | 2010 | n/a |
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Communications | 1925 | $481M | France | SAS Institute | SAS Dynamic Actuarial Modeling | Analytics and BI | 2023 | n/a |
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Buyer Intent: Companies Evaluating SAS Dynamic Actuarial Modeling
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FAQ - APPS RUN THE WORLD SAS Dynamic Actuarial Modeling Coverage
SAS Dynamic Actuarial Modeling is a Analytics and BI solution from SAS Institute.
Companies worldwide use SAS Dynamic Actuarial Modeling, from small firms to large enterprises across 21+ industries.
Organizations such as CNP Assurances, LVM Versicherung, SV SparkassenVersicherung, WorkSafe Victoria and Zenith Insurance, a Fairfax Company are recorded users of
SAS Dynamic Actuarial Modeling for Analytics and BI.
Companies using SAS Dynamic Actuarial Modeling are most concentrated in Insurance, with adoption spanning over 21 industries.
Companies using SAS Dynamic Actuarial Modeling are most concentrated in France, Germany and Australia, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of SAS Dynamic Actuarial Modeling across Americas, EMEA, and APAC.
Companies using SAS Dynamic Actuarial Modeling range from small businesses with 0-100 employees - 7.14%, to mid-sized firms with 101-1,000 employees - 50%, large organizations with 1,001-10,000 employees - 35.71%, and global enterprises with 10,000+ employees - 7.14%.
Customers of SAS Dynamic Actuarial Modeling include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified SAS Dynamic Actuarial Modeling customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Analytics and BI.