Traditional data warehouses are built for specific reporting needs, but today’s data landscape requires more flexibility, speed, and
scalability. Supporting modern analytics, AI, and growing data volumes calls for a new approach.
This poster outlines our transition to a modern data platform using a lakehouse architecture. Our approach focuses on improving how data is integrated, managed, and accessed—making it easier for users to find and use data while maintaining strong governance.
Areas of Focus
- Cloud-based, scalable architecture
- Automated and timely data ingestion
- Centralized data management and governance
- Expanded self-service analytics capabilities
Objective
Enable a future-ready data platform that supports advanced analytics while simplifying and improving access to trusted data.
Collaborators
Mandie Chapman, Associate Director of Data Science Practice
Kranthi Bandaru, Data Integration and API Manager