A large US Enterprise struggled with an unstructured and unscalable legacy data warehouse. They wanted to modernize their data infrastructure to get real-time insights and address various organizational requirements, so they approached Exavalu.
Challenge
1
The client was facing a serious problem while replacing their existing asset management system with advanced architecture. Their transition required extensive refactoring of the enterprise data structures which meant almost a complete overhaul of the system.
2
Their current data warehouse (Teradata) was largely unstructured and contained more than 10 complex subject areas. And the absence of defined data marts further complicated the segregation of data into domains
3
The system was unscalable to support business agility and accelerate time to market
The Difference Exavalu Delivered
- Assessed and designed a migration roadmap to AWS Redshift.
- Optimized their reporting capabilities by analyzing 360+ reports, 15+ Webi Universes, and 70+ queries.
- Developed 7 data marts and organized 10+ subject areas for better governance.
- Built a unified dimensional model with 130+ dimensions and 40+ facts.
- Streamlined ETL source-to-target mapping of the dimensional model.
Tech Stack
- Unified Data Model
Benefits
