A major banking institution

RGPD compliance of a retail bank’s activities

Ensuring data security and RGPD compliance.

RGPD compliance is a major challenge for retail banks, faced with massive volumes of personal data. The project carried out by PALMER aimed to guarantee the secure erasure of over a million pieces of data, while scrupulously complying with the requirements of the General Data Protection Regulation (GDPR). The approach adopted ensured full compliance, strengthened data governance and optimized processes for managing sensitive information.

PALMER’s added value

Cutting-edge expertise in RGPD compliance and sensitive data management.

Strategic approach to effective, sustainable implementation.

Optimized governance to ensure long-term compliance.

Personalized support for technical and business teams.

Integration of innovative solutions for securing information systems.

The keys to success

In-depth diagnosis of existing systems and identification of risk areas.

Design of an erasure solution compliant with RGPD standards.

Setting up a governance structure adapted to the banking context.

Close collaboration with technical and business teams.

Rigorous monitoring of compliance and validation of results.

Course of the mission

Analysis of existing work and audit of data management systems.

Design and deployment of a customized data erasure solution.

Review and optimization of data governance.

Formalization of a scoping note including the target scenario and deployment trajectory.

Supporting teams in adopting new procedures.

Challenges encountered

Integration of the solution into a complex decision-making information system.

Coordination between different stakeholders in a demanding environment.

Risk management for critical data erasure.

Raising awareness and training teams for smooth adoption.

A concrete, measurable impact

Over a million personal data securely deleted.

Full RGPD compliance and reduced regulatory risk.

Strengthening data governance and system security.

Greater buy-in from internal teams for new data management practices.

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