Customer success story

Modernizing legacy solution for prominent asset management company

Industry
Finance / Asset management
Tech stack
Java / React / SQL Server
Modernizing legacy solution for prominent asset management company

Background

A prominent asset management company specializing in alternative investments, particularly in private markets, required a technological upgrade to stay ahead in the highly competitive and fast-evolving finance sector. Their existing legacy system, while functional, was not equipped to handle the growing scale and complexity of modern asset management needs.

Challenge

The customer faced several critical challenges with their legacy application:

System Limitations: The old system was limited in scalability and flexibility, making it difficult to adapt to new market conditions or integrate with advanced analytical tools.

Data Inconsistency: Managing private company data and ESG scores across different systems led to inconsistencies and inefficiencies.

Operational Disruption: Transitioning from a legacy system to a modern architecture risked significant operational disruption, which could affect day-to-day activities and client services.

Solution

Our development team proposed a strategic, phased approach to transition the customer's system to a microservices-based architecture using Java, Spring Boot, React, and SQL Server. Here’s how the solution unfolded:

Phase 1

Architectural Foundation

Integration with Existing Systems: We integrated the new microservices architecture with the existing identity manager and SQL Server database, ensuring continuity and minimal disruption.

Foundation for Scalability: This phase laid the groundwork for a scalable system that would allow for gradual integration of more complex functionalities.

Phase 2

Data Management Enhancement

Central Data Service: By establishing a central data service, we ensured uniform data handling and integration, which facilitated a smooth transition and parallel operation of both legacy and new applications.

Enhanced Data Flow Control: This approach allowed for more precise control and management of data, significantly improving data accuracy and accessibility.

Phase 3

Advanced Analytics and Cloud Migration

Analytical Capabilities: The introduction of advanced analytics empowered the customer to derive deeper insights from their data, enhancing decision-making and reporting capabilities.

Cloud-Based Database: Migrating the database to the cloud further enhanced the application’s functionality, leveraging cloud computing benefits such as scalability, reliability, and cost-effectiveness.

 

Conclusion

The phased upgrade to a modern microservices architecture significantly transformed the customer's asset management capabilities. The new system not only enhanced operational efficiencies but also ensured that they could continue to innovate and remain competitive in the private markets sector.

This project exemplifies our commitment to delivering sophisticated, scalable solutions that align with our clients’ strategic objectives and support their growth and adaptation in dynamic market conditions.

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