GDPR Data processing modelElaboration of statistics and actuarial studies

By: Deleted user

PrivateInsurance

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

Revenues

optional

Name of employeroptional

Name or company nameoptional

Company registration numberoptional

Field of activityoptional

socio-professional categoryrequired

Professionrequired

Data conservation rules

Active base:

Active database: for underwriting and contract lifecycle.

6-year period matches statutory limitation for contractual and tort claims.

Intermediate archiving:

Dormant database: 6 years post-contract

Aligned with Limitation Act 1980.

Destruction

Customer Relationship Management Data

Data details

Product/contract/service dataoptional

Emailoptional

Due datesoptional

Financial amountsoptional

Data conservation rules

Active base:

For the duration of the contractual relationship

Intermediate archiving:

Up to 6 years after last contact

Aligned with UK statutory limitation periods for contract/tort claims.

Destruction

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 assetsrequired

Outstandings and indebtednessrequired

Proof of economic activity, resources or assetsrequired

Origin, valuation and composition of the assets and funds involvedrequired

Data relating to working liferequired

Marital status

required

Incomerequired

Employment datarequired

Data conservation rules

Active base:

Active database: for underwriting and performance of contracts.

Necessary for solvency demonstration and subject to UK prudential law. Retention aligned with Limitation Act 1980.

Intermediate archiving:

Up to 6 years after last contact.

Destruction

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