Elevating Data Efficiency for a Fintech Company with Rakuten SixthSense Data Observability
Client Overview
Fintech Customer, a leading name in the fintech sector, was grappling with significant data management challenges that hindered their growth. Their small, yet capable data team was overwhelmed, dedicating extensive hours to resolving data issues rather than focusing on scaling the system. Misallocated reward points due to customer data errors eroded consumer confidence, while the inefficiency of numerous data pipelines drained resources and productivity.
Problem Statement
Small data teams:
With a compact data team overwhelmed by frequent data-related issues, critical resources were diverted from focusing on scaling and innovating their systems.
Data Integrity Concerns:
Erroneous allocation of reward points due to inaccuracies in customer data undermined trust and jeopardized customer relationships.
Inefficient Data Pipelines:
The complexity and volume of data pipelines hampered effective monitoring and optimization, leading to inefficient use of resources, and missed opportunities for improvement.
Our Solution & Its Impact
Solution Implemented
- End-to-End Data Pipeline Monitoring
- Data Quality Assurance
- Data Lineage and Pipeline Efficiency
Key Results
- Reduced the mean time to identify data issues from 6 hours to 6 minutes
- Achieved a 96% accuracy rate in customer data processing
- Improved data pipeline efficiency by 45%, significantly reducing resource consumption and operational costs