Muthoot Fincorp has recognized the need to future-proof its data infrastructure to accommodate growing data analytics, machine learning (ML), and business intelligence (BI) needs.

Their existing data infrastructure was built on AWS architecture, including Amazon S3, AWS Glue, AWS DMS, and Amazon Athena. However, as the organization expanded, certain challenges began to surface:

• Rising Infrastructure Costs: The daily costs associated with the infrastructure was very high driven by complex upsert operations and frequent query calls.
• Scaling Requirements: With increasing data volumes and the growing complexity of ML and BI workloads, there was a pressing need to optimize the existing architecture to ensure seamless scalability and performance.
• Optimization Opportunities: While the in-house team managed the AWS environment effectively, Oneture Technologies identified opportunities for further optimization that would enhance performance and cost-efficiency across the board.

Oneture Technologies began its collaboration with Muthoot Fincorp by conducting a comprehensive assessment of the existing infrastructure. The findings pointed towards the need for a more streamlined and cost-effective architecture. This led to a deepened partnership where Oneture played a crucial role in designing and implementing a scalable data warehouse solution.

Collaborating with Oneture Technologies and leveraging the full spectrum of AWS services, Muthoot Fincorp successfully transformed its data architecture. This transformation included the integration of Amazon Redshift-based data warehouse that powers their BI tools—Amazon QuickSight and Apache Superset—and an ML based recommendation system built on Amazon SageMaker.

A Unified and Scalable Data Architecture

1. Redshift Migration and Optimization:
• Oneture transitioned Muthoot’s data architecture from a fragmented setup to a Redshift-centric solution, reducing costs by 75% and significantly enhancing performance.
• The migration involved consolidating Amazon S3 storage and AWS Glue jobs into Amazon Redshift, and transitioning from AWS Glue Workflow to Step Functions with AWS Lambda for orchestration.
• The new data warehouse structure was designed with scalability and reliability in mind, adhering to AWS Well-Architected Framework best practices to support future ML and Gen AI workloads.
2. BI Tools Integration:
• The architecture was fine-tuned to support Amazon QuickSight for senior management reporting and Apache Superset for large-scale BI reporting across 4,000 branches.
• Oneture’s expertise ensured that both BI tools operated on a unified backend architecture, delivering consistent, real-time insights with improved query performance.
3. ML Code Revamp:
• Oneture revitalized Muthoot’s recommendation system by optimizing the ML code in Amazon SageMaker, empowering the marketing team to effectively target customers for cross-sell and upsell opportunities.
• The revamped system seamlessly integrated with the Redshift-based data architecture, ensuring smooth data flow and analytics.

• Cost Efficiency: Infrastructure costs were reduced by 75% from this optimization exercise.
• Performance Boost: BI and ML workloads experienced significant improvements, with Superset’s performance increasing by 8x and the recommendation system functioning optimally.
• Scalable Architecture: The new setup supports Muthoot Fincorp’s future ambitions, including advanced analytics and Gen AI solutions.
• Strengthened Partnership: The successful implementation has solidified the relationship between Muthoot Fincorp, Oneture Technologies, and AWS, setting the stage for continued collaboration.

Future Roadmap

With the foundational work complete, Muthoot Fincorp is now well-positioned to expand its analytics and AI capabilities. The scalable and reliable architecture on Amazon Redshift will support the company’s growing data volumes and the increasing complexity of its analytics, ML, and future Generative AI workloads. Oneture Technologies will continue to partner with Muthoot in exploring new use cases, optimizing current processes, and ensuring that Muthoot remains at the forefront of financial innovation. This partnership underscores the importance of a well-architected framework in achieving scalable, efficient, and future-ready data solutions.

AWS Services Used

• Amazon Redshift
• AWS Glue
• Amazon SageMaker
• AWS Lambda
• Amazon S3
• Amazon QuickSight