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GDPR Data processing modelElaboration of statistics and actuarial studies

By: Ludwig Karneth
This processing model is related to the elaboration of statistics and actuarial studies in the insurance sector

Purposes (1)

A purpose is the objective pursued by the setting up of your file. It indicates what the processing of personal data will be used for, its purpose. This purpose must be clear and understandable

Statistical and actuarial studies
All contracts are underwritten in accordance with an underwriting policy defined by the administrative and management bodies of each insurance company. These rules are laid down by the Solvency 2 Directive of November 25, 2009 and its delegated regulation of October 10, 2014. In particular, these prudential obligations are set out in Articles 48 (actua- rial function), 77, 84 and 12119. For example, Article 84 stipulates that, at the request of the supervisory authorities, insurance and reinsurance undertakings shall demonstrate the appropriateness of the level of their technical provisions, as well as the applicability and relevance of the methods they apply and the adequacy of the underlying statistical data they use.Statistical and actuarial studies must be carried out to comply with these prudential obligations in order to justify that the contractual commitments of insurers' bodies are compatible with their solvency.
Legitimate interest

Data categories (3)

Personal data is any information relating to an identified or identifiable natural person. A natural person can be identified either directly (eg surname and first name) or indirectly (eg phone number, social security number, email or postal address, but also voice or image)

Data relating to working life

Data details

Name or company nameoptional
Company registration numberoptional
Name of employeroptional
Field of activityoptional
Socioprofessional categoryoptional

Data conservation rules

Data relating to the follow-up of the commercial relationship

Data details

Data relating to products, contracts and servicesoptional

Data conservation rules

Economic, asset and financial data

Data details

Balances and credit taken out (amount and duration, name of lending institution) in the case of order financing by creditrequired
Financial assetsoptional
Outstandings and indebtednessoptional
Proof of economic activity, resources or assetsoptional
Origin, valuation and composition of the assets and funds involvedoptional
Revenus optional
Vie maritaleoptional
Data relating to working lifeoptional

Data conservation rules

Data subject (1)

A data subject is any person whose data is collected, retained or processed by the data processing. e.g. In a recruitement process, any candidate for a position proposed in recruitement management process

  • Customers

Ludwig Karneth
Ludwig Karneth

Created at:2023-08-08T12:02:37.096597

Updated on:

License: © Creative commons :
Attribution / Pas d'utilisation commerciale
CC-BY-NC AttributionPas d'utilisation commerciale

Nb using:2

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