About Client
The client is one of Asia’s largest e-commerce marketplaces, supporting large-scale enterprises through digital e-auction and e-procurement services for critical resources such as steel, oil, and coal. With operations spanning multiple regions and complex transactional workflows, reporting accuracy and performance were central to business operations.
Client Revenue: USD 185 Million (FY’21)
As reporting demands grew across procurement, auctions, and financial analytics, the client began reassessing its reporting stack. A detailed BIRT vs Jasper evaluation revealed that while BIRT (Business Intelligence and Reporting Tools) had served well in earlier stages, it was increasingly constrained in areas such as performance, scalability, and report deployment flexibility.
The client required a reporting platform that could support enterprise-grade reporting with minimal dependency on the core application, while also enabling faster report creation and easier access for business users. This comparison of BIRT vs Jasper highlighted Jasper’s strengths in interactive reporting, dashboarding, and server-side optimizations—making it a suitable replacement for the existing BIRT setup.
Challenge
The client decided to migrate from BIRT to TIBCO Jasper Server to better support evolving business requirements. The primary objectives behind this move—identified during the BIRT vs Jasper assessment—included:
- Reducing processing load on the core application server by offloading reporting workloads
- Enabling pixel-perfect, user-friendly reports with drag-and-drop design capabilities
- Allowing seamless deployment of reports and dashboards without workflow dependencies, reducing turnaround time and operational cost
However, this migration introduced several complexities. The existing BIRT ecosystem consisted of numerous standalone reports that needed consolidation, performance tuning, and redesign. In addition, the client anticipated future analytics evolution, including possible Jasper to Power BI integration for advanced visualization and self-service analytics—making architectural decisions critical during the migration phase.
