Legacy Analytics Support and Cloud Architecture for a Global Construction Materials Industry

01Client

Large global industry focused on construction materials, operating a legacy on-premise Data Analytics environment with demand for cloud modernization.

02Challenge

• Legacy on-premise Data Analytics environment with high maintenance costs and limited evolution
• Need to ensure continuity and stability of the legacy environment during transition planning
• Lack of a modern cloud architecture supporting scalability and market best practices
• Difficulty evolving the analytics environment without interrupting critical business operations
• Gap between current environment capabilities and the growing data and analytics demands of global operations

03Solution implemented

• Continuous support of the legacy on-premise Data Analytics environment, ensuring availability and stability
• Diagnosis of the legacy architecture and mapping of modernization opportunities
• Design of the new cloud architecture following market best practices (Lakehouse, modern pipelines, Data Mesh)
• Definition of a gradual migration strategy from on-premise to the cloud
• Technical documentation of the target architecture and modernization roadmap

04Strategic differentials

• Simultaneous action on two horizons: legacy support and future design, without operational discontinuity
• Cloud architecture designed based on market best practices, ensuring scalability and efficiency
• Combined expertise in legacy and cloud environments, reducing transition risks
• End-to-end view of the modernization journey, from diagnosis to implementation roadmap

05Results

• Operational continuity of the analytics environment throughout the migration planning process
• Risk reduction with a structured and documented transition strategy
• Solid technical foundation for modernization, with a cloud architecture aligned to best practices
• Greater clarity on the technology evolution path, accelerating investment and prioritization decisions