Our client is a leading global transportation and logistics company that relies on advanced analytics to drive agility, business intelligence, and operational efficiency across its worldwide operations.
Accelerating Enterprise Analytics with SAS to Databricks Migration
Overview
Business Complexity
The client relied on over one million legacy SAS workloads that were costly to maintain and limited real-time analytics. A scalable cloud analytics platform was required to improve agility, business intelligence, and operational efficiency.
Action
- Migrated legacy SAS workloads to Azure Databricks using AI-powered migration accelerators.
- Modernized ETL pipelines and automated the Oracle data warehouse migration to the cloud.
- Transitioned SAP BusinessObjects reporting to Microsoft Power BI for enhanced business intelligence.
- Built a scalable cloud analytics platform that reduced infrastructure costs, accelerated migration, and enabled real-time insights, advanced analytics, and future-ready AI capabilities across enterprise operations.
Tech Stack
- Azure Databricks
- Microsoft Power BI
Impact
- 1M+ SAS Workloads Migrated
- 3x Reduction in Platform Costs
- 40% Faster Migration Using PySpark based AI Accelerators