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Edenred, a global leader in payment services, partnered with Indicium to create a comprehensive, long-term solution to streamline data management, improve operational oversight, and consolidate data into a unified system for business users. Indicium accelerated the migration to dbt and Databricks with a structured yet flexible approach that ensured rapid execution, immediate performance gains, and a scalable data foundation.
Challenges: Fragmented Data, High Costs, and Scalability Limitations
Edenred’s hybrid infrastructure and fragmented data sources created data inconsistencies, inefficient data processing, and governance issues. The company needed a scalable, high-performance data foundation—one that could reduce costs, accelerate analytics, and eliminate friction in data operations. They chose Indicium to help them migrate to a modern data stack for our deep expertise in both technical and business requirements.
A Seamless Transition to Databricks for Faster Time-to-Value
Indicium designed and executed a comprehensive migration to Databricks and dbt, ensuring a smooth transition with minimal disruption. The new architecture enabled automation, efficiency, and governance at scale. How we did it:
Structured approach – Improved governance with version control, automated testing, guardrails, CI/CD, and tagging. This change stabilized, documented, monitored, and optimized data pipelines to reduce processing costs.
Centralized repository – Streamlined data access to enhance visibility into data flows and business rules and ensure full traceability of code changes. These improvements not only reduced support tickets and maintenance overhead, but also established a scalable and efficient data foundation.
Training – To ensure long-term sustainability, we trained over 40 professionals on the new architecture to empower them to support ongoing improvements.
Results: Immediate ROI and Long-Term Scalability
The project unlocked substantial cost savings, increased data processing speed, and empowered the client to handle exponential data growth.
Beyond optimized costs and performance, these improvements positioned Edenred to leverage data as a strategic asset. The following results highlight the measurable business impact:
Scaled infrastructure to support 2x increase in data volume driven by growing business demand for data-powered decision-making.
Enhanced data processing: Achieved a 56% reduction in processing time, significantly accelerating the generation of critical reports and enabling faster, more informed decision-making.
Increased pipeline reliability: Improved the pipeline success rate from ~70% to 95%, ensuring more stable and reliable data processing.
Proactive issue detection: Implemented 2.5K+ automated tests, enabling early identification of potential issues and minimizing disruptions.
Reduced support tickets and maintenance overhead, allowing a 50% reduction in the maintenance team and enabling smarter resource allocation.
Why Indicium + Databricks: Scaling Beyond Implementation
Indicium’s deep expertise in financial services data migration and transformation with Databricks positioned it as Edenred’s go-to partner. By leveraging the IndiMesh Framework, we provided a flexible engagement model that enabled rapid execution. The migration ensured a smooth, high-quality development lifecycle that reduced maintenance overhead and established a solid foundation for future growth and operational efficiency.
Edenred’s biggest challenge was bridging the gap between engineering and actionable insights. Indicium’s integrated approach helped align the front-end and back-end teams, optimizing both the technical and analytical processes. This solved immediate technical needs and also fostered a data-driven culture. With the right tools and knowledge in place, Edenred gained the ability to sustain continuous innovation and long-term success.
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