Modernizing financial analytics with Amazon SageMaker Unified Studio
Avanse Financial Services migrated from a two-application model to a cloud-native lakehouse architecture using Amazon SageMaker Unified Studio. This move eliminated synchronization bottlenecks, enabled usage-based pricing, and improved auditability by unifying data engineering, analytics, and AI workflows. The new architecture consists of a data layer on Amazon S3, a compute layer with project-based workspaces, and a governance layer with IAM Identity Center and SageMaker Catalog. The migration journey consisted of five phases, including technical validation, data migration and storage optimization, compute modernization, governance implementation, and production deployment. Avanse achieved significant cost savings, eliminated the need for custom-built pipelines, and improved analytics and AI capabilities through native integration with their existing AWS services. The result is a unified data environment that streamlines data discovery, eliminates data silos, and provides real-time analytics and AI capabilities, enabling Avanse to make data-driven decisions with up-to-date information.