DATA & AI CUSTOMER SUCCESS STORIES
Leading Financial Services Firm
CLIENT: NAME HERE SOLUTION: DATA MIGRATION/DATA PLATFORM OPTIMIZATION PARTNERS: DATABRICKS/dbt LABS
How a Global Payment Leader Optimized Its Data Platform Strategy—Cutting Costsby 27% While DoublingData Volume
Monthly Ingestion
Costs
Without Sacrificing
Performance
With Double
The Volume
Inconsistencies in Data Processing and Accessibility
Inconsistencies in data processing and accessibility were a major challenge for this global leader in payment services. Governance hurdles, including inefficient change management, lack of standardization, and limited control over data pipelines, created operational inefficiencies and data silos. These challenges stemmed from the company’s hybrid data infrastructure, fragmented data sources, and multi-stage business rules.
The organization needed a comprehensive, long-term solution to streamline data management, improve operational oversight, and consolidate data into a unified system for business users. They chose Indicium for its unmatched expertise in the modern data stack, proven frameworks for scalability and automation, and commitment to knowledge transfer, delivering consistency, reliability, and adaptability.
Building a Scalable and Efficient Data Foundation
To enhance scalability, cost efficiency, and governance, Indicium migrated the company’s data platform to dbt and Databricks to bring automation and efficiency to the forefront. To ensure long-term sustainability, Indicium trained over 40 professionals on the new architecture to empower them to support ongoing improvements.
Indicium introduced a structured approach to improve governance with version control, automated testing, guardrails, CI/CD, and tagging. This change stabilized, documented, monitored, and optimized data pipelines to reduce processing costs. A centralized repository improved data access, providing clearer visibility into data flows and business rules while ensuring complete traceability of code changes. These improvements both reduced support tickets and maintenance overhead, and also established a scalable and efficient data foundation. The transition from a fragmented, manual-intensive data ecosystem to an automated, well-governed, and scalable platform enabled greater operational efficiency.
Enhanced Data Platform Performance
By addressing the core challenges of data inconsistency and scalability, the project unlocked substantial cost savings, dramatically increased data processing speed, and empowered the client to handle exponential data growth. Additionally, these improvements positioned the company to leverage data as a strategic asset.
The following results highlight the measurable business impact:
Cost-efficiency: 27% reduction in monthly ingestion costs through optimized pipeline efficiency and cloud resource utilization.
Scaled infrastructure: 2x increase in data volume, enabling the company to better accommodate growing business demands.
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.