AT Analytics stands for actuarial and data analytics consulting.
Our domain of expertise includes the following areas of actuarial and data analytics consulting:
- Actuarial consulting around pricing, reserving, solvency and capital modeling, internal audit.
- Non-life and health insurance, captive insurance as well as reinsurance.
- Mandates as Appointed Actuary according to art 23 ISA (Insurance Supervision Act).
- State-of-the-art data analytics – transparent all the way from data to decisions.
Applications
We help you leverage your own and external data to make informed forecasts, to take action, and to evaluate the results. We employ a rich suite of tools, which ranges from traditional actuarial methods to leading-edge data analytics and Deep Learning models.
Examples of applications include:
- Development and implementation of pricing models for non-life and health insurers.
- Review of product profitability and validation of pricing models in order to refine the existing tariff and the underwriting criteria.
- Claims analytics solutions to understand the drivers of claims trends, and to quantify the effects of claims management actions on reserving.
- Back-testing of existing prediction models, identification of shortcomings, followed by implementation of improvements.
Our view on the transition from traditional actuarial to modern data analytics tools
Traditional actuarial approaches, wich are based on aggregated data and extrapolation of historical trends into the future, are often appropriate, as they are easy to understand and to communicate.
However, when circumstances change, refinements may become necessary. Examples for such changes are increasing inflation; change of claims processes or of the claims settlement speed; change of the quality or the composition of the portfolio; etc.
Modern data analytics tools can help to detect such deviations, to identify their drivers, and to refine the original models. Transparency inclusive – all the way from data to decisions.