Kobstaedernes Forsikring Technographics
Kobstaedernes Forsikring Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Kobstaedernes Forsikring and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 330 Kobstaedernes Forsikring employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Kobstaedernes Forsikring has purchased the following applications: SAS Dynamic Actuarial Modeling for Analytics and BI in 2013 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Kobstaedernes Forsikring is running and its propensity to invest more and deepen its relationship with SAS Institute or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Kobstaedernes Forsikring revenues, which have grown to $240.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Kobstaedernes Forsikring intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
Kobstaedernes Forsikring Tech Stack and Enterprise Applications
Kobstaedernes Forsikring Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAS Institute | Legacy | SAS Dynamic Actuarial Modeling | Analytics and BI | Analytics and BI | n/a | 2013 | 2013 |
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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IT Decision Makers and Key Stakeholders at Kobstaedernes Forsikring
Apps Being Evaluated by Kobstaedernes Forsikring Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
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