Transforming Liquidity Risk Management with Virtual Data Solutions

Category

Case Study

Author

Published

May 28, 2024

Introduction

A leading financial service provider's middle office Liquidity Risk department required a comprehensive solution to extract and consolidate data from various functions across the firm. Their goal was to achieve a firm-level overview of various Liquidity Risk metrics and effectively monitor limits. Instead of building a traditional data mart, they sought a virtual data solution to integrate seamlessly with their existing infrastructure.

Analyzing the Problem

The primary challenges faced by the Liquidity Risk department was that data was dispersed across multiple sources, including RDBMS, files, and web services, making it difficult to obtain a unified view.

Initial Challenges

The critical challenges lay in integrating data from various sources coherently and efficiently was complex and resource-intensive, ensuring the availability and quality of data across different sources was challenging, and building robust applications for real-time reporting and limit monitoring required a solid and flexible data integration framework.

Our Solution

Wissen implemented a virtual data platform using Composite from Cisco to address these challenges. This solution enabled the financial service provider to integrate and manage data from various sources without building a conventional data mart.

Virtual Data Platform: Composite from Cisco was used to connect to different data sources such as RDBMS, files, and web services. It provided seamless data tables that applications could easily query.

Framework for Data Management: Wissen developed a robust framework around the virtual data platform to automate data source availability checks, data quality assessments, data fill forwarding, and signoff processes.

Programmatic Data Source Management: The solution included a framework for programmatically obtaining and managing data sources for reporting metrics and limit monitoring.

Enhanced Reporting and Monitoring: Applications for real-time reporting and limit monitoring were built on top of the virtual data tables, providing accurate and timely insights into Liquidity Risk metrics.

Key Results Achieved

The implementation of the virtual data platform delivered significant benefits:

Unified Data Access: The solution provided a consolidated view of data from various sources, breaking down silos and enhancing data accessibility.

Improved Data Quality and Availability: Automated checks ensured high data quality and availability, crucial for accurate risk management and reporting.

Efficient Integration: The virtual data platform facilitated seamless data integration, reducing the complexity and resource requirements associated with traditional data marts.

Enhanced Reporting and Monitoring: The financial service provider was able to build robust applications for real-time reporting and limit monitoring, improving their ability to manage and mitigate liquidity risks.

Operational Efficiency: The automated framework for data management reduced manual effort and streamlined operations, allowing the Liquidity Risk department to focus on strategic tasks.

Conclusion

Wissen's implementation of a virtual data platform using Composite from Cisco enabled the financial service provider's Liquidity Risk department to overcome significant data integration challenges. The solution provided a unified, high-quality, and easily accessible data source for real-time reporting and limit monitoring. This transformation not only enhanced operational efficiency but also empowered the department with the tools needed to effectively manage and mitigate liquidity risks. The successful deployment highlights the value of innovative, virtual data solutions in addressing complex data integration and management needs in the financial services sector.