Challenges
Data in the sector
Massive data volumes, strong regulatory requirements and growing pressure on customer experience: data is a strategic asset at the heart of the banking model.
- BCBS 239, GDPR, AI Act compliance and continuous regulatory reporting
- Fighting fraud and financial crime with AI
- Personalising advisor and customer journeys with GenAI
- BI industrialisation and real-time risk management
By business function
Data and AI use cases
Risk department
Modelling and management of credit, market and operational risk. Group-wide risk dashboards, reliable data feeding regulatory models.
Compliance and anti-fraud
Payment fraud detection, KYC and AML controls powered by data and AI, data traceability required by BCBS 239.
Finance and management control
Industrialised financial reporting, reconciliation of accounting sources, profitability management by business line and client.
Marketing and customer relations
360° customer view, segmentation, personalised journeys and generative AI assistants for advisers.
IT and data office
Data platforms, self-service BI, reporting migration to Power BI, governance and data catalogue.
References
Visian in the sector
162 assignments in banking and finance since 2020.
- Crédit Agricole: 75 assignments across 9 entities since 2020 (CA-TS, Amundi, CACIB, CAGIP, LCL)
- BPCE / Natixis: production engineering, risk data engineering, Power BI, data science
- BNP Paribas: 100 assignments across 17 entities, self-service BI and group reporting migration to Power BI
- Société Générale: risk data lake and client dashboards
Detailed client cases
- BNP Paribas · Banking, BI
- Société Générale · Banking, Dashboards
- LCL · Banking, GenAI