faster project deployment
デフォルト
increase in test automation coverage for SAP applications
デフォルト
improvement in manual testing time
デフォルト
more streamlined Program Delivery
デフォルト

Jaguar Land Rover (JLR) is a globally recognized creator of modern luxury vehicles from two distinct British brands. With a talented team of 40,000 people worldwide, JLR’s purpose is to “Live the Exceptional with Soul,” a vision co-created by its employees. The company is dedicated to shaping the future of mobility by reimagining extraordinary experiences for its clients and is actively transitioning toward an electrified future.
As a cornerstone of the global automotive industry, JLR relies on a complex SAP environment to manage everything from finance and accounting to manufacturing and after-market services. In preparation for a major S/4HANA migration, the company’s Digital Business Unit recognized an urgent need to modernize its testing strategy.
Their existing toolset, centered around HP ALM and UFT, was approaching its end of life and lacked the robust, innovative capabilities required for a forward-thinking enterprise. Manual regression testing was a significant bottleneck, with testing cycles taking five to seven days to complete before a go-live could be signed off. This slow, labor-intensive process limited the team’s ability to keep pace with project demands and created risks for business-critical functions. JLR needed a solution that could accelerate testing, expand coverage across its core SAP modules, and provide the confidence needed to support its large-scale digital transformation initiatives.

In July 2024, JLR partnered with TCS to overhaul its testing framework, selecting a suite of Tricentis products to form the foundation of its new strategy. The implementation focused on three key products: Tricentis Tosca for automated regression testing, Tricentis LiveCompare for change impact analysis, and Tricentis NeoLoad for performance testing.
The team prioritized the rollout of Tosca Cloud, which addressed the most immediate pain point: slow and inefficient regression testing. After a brief stabilization period, the team began building a foundational regression suite. The initial goal was to establish a solid, reusable set of test cases that could validate core business processes across JLR’s diverse geographical instances.
Working with SAP consultants, the team developed an initial suite of 520 regression test cases in Tosca, covering critical modules like Finance, Accounting, and Extended Warehouse Management (EWM) within their SAP ECC environment. While this represented a fraction of the total test landscape for a company of JLR’s scale, it established a crucial baseline and provided a modular structure that functional testers could quickly adopt and expand upon.
Concurrently, JLR implemented NeoLoad to replace its legacy LoadRunner tool for performance testing. The team built 40 performance test scripts targeting labor-intensive areas of the business, particularly manufacturing and after-market services. With customer-facing warranty services seeing high transaction volumes, ensuring system performance was paramount. Finally, Tricentis LiveCompare was activated to provide deep insight into the impact of future SAP updates, with plans to roll out its analysis on an application-by-application basis.
The adoption of the Tricentis platform has delivered a significant and immediate impact on JLR’s testing operations, setting the stage for continued growth and modernization.
The transformation, which began within the JLR Digital BU, is now delivering benefits across the entire organization. Stakeholders from various business units have responded positively to the increased speed and reliability of the testing process. With connectivity to S/4HANA already established, JLR is now positioned to expand its test automation library, build out end-to-end test scenarios that include non-SAP applications, and leverage LiveCompare for its ongoing SAP upgrades. Tricentis is now touching virtually every area of JLR’s business and continues to grow as the organization evolves.