Objective
Planning
1) RGPD: Actuarial Regulatory Issues and constraints
- data: a growing need and a universal theme, local debates
- deciphering the principles of the RGPD and the impacts of data manipulation in the models
- data privacy officer: embodying data protection, spreading a culture within the company
- key compliance steps for insurers
- the practical consequences for the insurance industry: actuaries, risk managers, data scientists, etc.
2) Comparison of internal vs. external data
the challenges for the insurance industry
Quality of the data defined by Solvency 2: completeness, depth of history, accuracy
similarities and differences between internal and external sources: volume, velocity, variability, truthfulness
common aggregation and anonymization issues
regulation of price discrimination in insurance
business licences
3) Open Data: valuation of external data
- plurality of sources
- reliability assessment
- operating techniques for actuarial models
- application examples
4) API: operation, integration and constraints
- many modes of operation
- commercial vs. open-source use
- integrability into established processes
- demonstration of sustainable use
- focus on regulatory constraints to date
5) Webscrapping: techniques and applications
- definition
- legal aspect: case law in insurance and elsewhere
- good practices
- interact with web pages
- tool presentation
- actuarial examples and feedback
6) Data acquisition project: collection and exploitation of external data to produce an original statistical report.