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Business ServicesNovember 12, 2024

Customer Case Study: Meeting Regulatory Obligations around risk management, governance and internal controls in Banking

A leading global bank uses Dassault Systèmes’ solution to standardize data models, improve data governance and internal controls to meet the regulatory data governance requirements.
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Avatar Solenne LACOSTE

A leading global bank uses Dassault Systèmes’ solution to standardize data models, improve data governance and internal controls to meet the regulatory data governance requirements.

As global regulators ramp up demands for financial services companies to achieve operational resilience—requiring uninterrupted performance of essential business functions even during disruptions—financial institutions are increasingly seeking innovative solutions to meet these critical standards.

In a recent example, one of our banking customers successfully standardized its entire, complex operational systems and applied this approach across all essential business services, achieving consistency and operational efficiency organization-wide.

🗨️ Discover the full case study

🤝 What are our customer benefits?

Here are some of the transformative benefits they experienced:

  • Advanced-Data Modeling Capabilities

Unified Modeling Language (UML) and Systems Modeling Language (SysML) enable the bank to create detailed, standardized models that are easily understandable across teams and stakeholders.

By leveraging Logical and Physical Data Models, teams can design abstract data representations and seamlessly translate them into physical database structures, ensuring clarity and functionality from concept to execution.

  • Seamless Data Integration and Interoperability.

Integrating various data models and sources into a cohesive architecture has allowed the bank to unify data from diverse departments and systems, whether from existing frameworks or new workflows.

This streamlined data flow minimizes disruptions and maintains data consistency across the organization, ensuring teams using different tools and platforms can easily access accurate information.

  • Compliance and Data Governance

Robust traceability and auditability features allow the bank to track data model changes and maintain compliance with both internal policies and external regulations, including GDPR, DORA, and BCB 29.

With detailed data lineage, the bank can track the origin, transformation, and end-use of data, which improves transparency and meets regulatory requirements related to data usage and management.

  • Collaboration and Model Sharing

Multiple users from different regions and time zones can now work on the same models simultaneously, promoting efficient collaboration and enabling model sharing and reuse.

A centralized library of standardized models reduces redundancy and ensures that consistent methodologies are applied across various projects and services.

  • Comprehensive Visualization and Reporting

The bank’s Information Architecture team can leverage advanced visualization tools to create detailed and intuitive diagrams that represent complex data structures and relationships, making it easier to communicate data architecture details to non-technical stakeholders and facilitate informed decision-making.

Automated reporting capabilities allow for streamlined generation of documentation, which supports regulatory submissions and simplifies internal review processes.

  • Simulation & Validation of Data models

Before implementation, data models undergo simulation and validation before implementation, ensuring they are logically sound and error-free. This proactive approach reduces the risks of issues arising during deployment, safeguarding operational continuity.

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