Our client is a global insurance and financial services leader that relies on a scalable, governed data platform to support reporting and AI-driven analytics across its operations.
Accelerating Cloud Data Modernization with Azure & Databricks
Overview
Business Complexity
Legacy on-premises systems created data silos, high infrastructure costs, and limited scalability. The client needed a cloud-native platform to modernize reporting, strengthen governance, and enable AI-driven analytics.
Action
- Built a cloud-native Azure and Databricks platform by migrating legacy SAS workloads.
- Modernized data pipelines and centralized reporting.
- Improved governance, scalability, and analytics capabilities.
- Delivered a centralized enterprise data platform that streamlined data integration, improved accessibility, and supported regulatory reporting.
Tech Stack
- Microsoft Azure
- Databricks
- Cloud Modernization
- Azure Data Factory
- Azure SQL Database
- PySpark
Impact
- 30% Reduction in Infrastructure Costs
- 100% Compliance with Data Governance Policies
- 40% Improvement in Data Governance and Accessibility
