nFADP compliance: 5 steps to structuring data deletion
To meet the requirements of the nFADP, Qim info mobilised a Data specialist to structure its intervention in five successive stages, from impact analysis to execution of the first purge cycle. This methodical approach, deployed in just 14 days, builds a reliable, compliant and reproducible process, in line with Swiss legal obligations.
1. Analysis of the suppression method: Qim info begins with a precise assessment of the potential impact of definitive data deletion, comparing it with irreversible anonymisation. This step highlights the dependencies between applications and guides technical choices in complete security.
2. Analysis of the deletion method: Qim info begins with a precise assessment of the potential impact of definitive data deletion, comparing it with irreversible anonymisation. This step highlights the dependencies between applications and guides technical choices in complete security.
3. Extraction of personal data: Qim info consultant assists the bank in identifying and extracting the personal data of employees, customers and prospects eligible for deletion. This phase initiates the construction of the first processing flows, based on data that can actually be used.
4. Mapping the applications concerned: from among the hundreds of applications listed in the activity logs, Qim info prioritises the areas to be dealt with on the basis of their business criticality and the regulatory issues at stake. Each application is rigorously classified.
5. Design of deletion workflows: robust processing workflows are designed in collaboration with application owners. These include validation of records by stakeholders and the legal department, ensuring document compliance at every stage.
6. Purge governance and first test delete: the last phase is based on two key actions: putting in place the controls associated with the process (purge log, error reports) and carrying out a first manual delete on a restricted perimeter. This stage validates the correct operation of the data flows and makes data governance part of the organisation’s practices.