Edenred, a global leader in payment services, partnered with Indicium AI to create a comprehensive, long-term solution to streamline and unify its data infrastructure across Latin America. By migrating to Databricks and adopting dbt for transformation, Edenred significantly improved data processing speed and consolidated data into a unified system for business users. Indicium AI accelerated the migration to dbt and Databricks with a structured approach, embedding best practices, validating data pipelines, and ensuring the new platform aligned with Edenred's long-term business goals.
Challenges: Fragmented Data and Limited Scalability
Edenred's data environment across Latin America was fragmented, relying on multiple platforms that created silos, increased complexity, and limited scalability. The key challenges included: data scattered across multiple regional platforms; scalability constraints that hindered processing larger datasets; lack of a unified view across operations; high maintenance overhead for multiple systems; and limited ability to generate actionable insights quickly. Edenred needed a partner to help them consolidate their data infrastructure, improve analytics, and eliminate friction in data operations. They chose Indicium AI to help them migrate to a modern data stack for our deep expertise in Databricks, dbt, and financial data systems.
Seamless Transition to Databricks for Faster Time-to-Value
Indicium AI designed and executed a comprehensive migration to Databricks and dbt, transforming Edenred's data ecosystem across multiple countries. The solution included: migration of all data models to dbt, establishing a single source of truth; optimization of Databricks clusters to improve resource efficiency; implementation of automated monitoring and alerting systems; creation of comprehensive documentation and best practices; enablement of Edenred's teams to manage and extend the platform; and deployment of advanced Databricks features, including dynamic views for data access control, enabling smarter resource allocation.
Why Indicium AI + Databricks: Scaling Beyond Implementation
Indicium AI's deep expertise in financial services data migration and transformation was essential in helping Edenred overcome the complexity of working across multiple countries with varying data structures. The migration required a highly customized approach, bridging the gap between engineering and actionable insights. Indicium AI's integrated approach helped align the front-end and back-end development teams, improving collaboration and ensuring that the data infrastructure could support Edenred's ambitious analytics goals.
56% Faster Processing and a Unified Data Platform
By migrating to Databricks and adopting dbt, Edenred achieved: a 56% improvement in data processing speed; a unified data platform across Latin America; streamlined data pipelines, reducing complexity and maintenance; improved scalability, enabling larger datasets to be processed efficiently; and enhanced data governance, with better visibility into data flows and access controls. These results enabled Edenred to provide faster, more accurate insights to its business units, supporting better decision-making across its operations.
Talk to our team about how we can help you achieve similar results with Databricks and dbt.
