Industry Data Models
Banking Data Model
Unlock the full potential of your banking data with a robust, compliant data model designed for precision and efficiency.
Key clients
A Data Model Based on Practical Experience — and Built for Future-Proof Banking
The Banking Data Model from Solvership is a comprehensive solution designed to handle the complexities of banking data management. Our main goal for the model is to help you ensure consistency, accuracy, and compliance with ever-evolving regulations.
With over 567 entities and 1,600+ keys, this model consolidates your data across systems to provide a 360º customer view, simplifying reporting and advanced analytics. Designed with flexibility in mind, the model supports continuous updates for new banking regulations, GDPR regulations, IFRS standards, and market requirements.
Comprehensive KPI Library and Integration Abilities
The model includes predefined structures for 190+ banking-specific KPIs, covering crucial metrics for customer accounts, loan performance (including specific structures for managing non-performing loans), credit risk, profitability, and sales. This built-in library reduces the time needed to develop custom metrics, making it easier for banks to monitor performance.
Another standout feature is the ability to integrate data between different entities such as banks, leasing companies, and insurance firms, providing a consolidated view of customer interactions across financial services. This 360º customer view, combined with reduced complexity and a more logical structure, supports better decision-making and allows for cross-selling opportunities across services.
When and where to use Solvership’s model?
- Integrating banking, leasing, and insurance data for a unified customer view
- Automating regulatory reporting and compliance
- Tracking customer journeys and credit portfolios
- Managing non-performing loans (NPL) and risk assessment
- Supporting GDPR compliance for secure customer data handling