Avanse Financial Services modernizes financial analytics with Amazon SageMaker Unified Studio
Use case typeData platform modernizationUpdated 4 days ago
Avanse Financial Services migrated to a cloud-native lakehouse architecture to integrate data engineering, analytics, and AI workflows in a single governed environment on AWS. The team used Amazon SageMaker Unified Studio to unify engineering, analytics, and AI workflows, with Amazon S3 for storage and AWS IAM Identity Center plus AWS Identity and Access Management for controlled access.
- Organization
- Avanse Financial Services
- Industry
- Finance
- Location
- India
- Published
- July 2026
Reported outcomes
Strategic outcomes
Cost efficiencyCentralized governed analytics workflowsSpeed & agilityFaster delivery of AI-enabled analytics capabilities
Primary read
Use case focus
Showing 2 of 2
- 1Data platform modernization
- 2Workflow automation
Move to a cloud-native lakehouse approach and integrate data engineering, analytics, and AI workflows in one governed environment.
- Migrated workflows to Amazon SageMaker Unified Studio to centralize engineering, analytics, and AI under governance.
- Used Amazon S3 for data storage and AWS IAM Identity Center together with AWS Identity and Access Management for access control.
- Modernized financial analytics by centralizing and governing data, ML, and analytics workflows on AWS.
- Improved consistency and speed for delivery of AI-enabled analytics capabilities.
Sources & evidence1
Groundedness: 4/5Type: Blog PostPublished: Jul 9, 2026Publisher: AWSEvidence: VendorConfidence: Medium
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