Modernizing financial analytics with Amazon SageMaker Unified Studio

This article describes how Avanse Financial Services modernized their financial analytics by migrating from a disconnected external analytics application to Amazon SageMaker Unified Studio, eliminating data synchronization bottlenecks and reducing operational costs.

• Eliminated 4-hour daily data copy from Amazon S3 to external application by querying data directly in S3
• Replaced fixed licensing costs with usage-based serverless compute through Athena and EMR Serverless
• Implemented project-based isolation for business units with per-project billing and access controls
• Deployed SageMaker Catalog for centralized data discovery, lineage tracking, and compliance auditing
• Migrated use cases incrementally (MIS reports, collection efficiency, risk reporting, scorecard generation) rather than attempting big-bang migration
• Reduced report generation time from over 4 hours to under 30 minutes
• Consolidated data silos by migrating NFS storage and legacy formats into Amazon S3

The lakehouse architecture on AWS unified Avanse's analytics stack, improved compliance audit timelines from weeks to days, and positioned the organization to adopt emerging capabilities like generative AI through Amazon Bedrock.