|
Predictive modeling is a process used to forecast future
outcomes or behaviours based on historical data and patterns. By
building mathematical models that analyse past data predictive
modelling aims to uncover relationships between different variables
in a dataset and use those relationships to make predictions about
new observations.
Overall, these methods complement the traditional actuarial vision
in the insurance sector by providing insurers with advanced
analytical tools and techniques to improve risk assessment,
underwriting, pricing, and fraud detection processes, ultimately
leading to better decision-making and more profitable business
outcomes.
During the session, we will provide an overview of how predictive
modelling works and highlight some of its applications in the
insurance sector. This will be followed by a demonstration of a use
case where these models were used to assist in pricing a motor
book. We will walk through the process from cleaning and processing
data, to analysing and fitting the model, and finally, to finding
insights and understanding the outputs. Additionally, we will cover
ideas on how to use those outputs to create a pricing guide for
policies.
Your early-bird registration fee is € 120.00 (net) / € 142.80
(incl. VAT, if applicable) for bookings by 24 September 2024. After
this date, the fee will be € 170.00 (net) / € 202.30 (incl. VAT, if
applicable).
|
|