Client Problem

A financial services company wanted to consolidate its datasets across several CRM and Operational systems into a central data warehouse for a customer 360 view into their business.

Solution

We executed a seamless data migration using AWS DMS and Python scripts ensuring that all data was standardized and normalized. Automated QA and anomaly detection were implemented to ensure data integrity.

Result

The client now benefits from a fully scalable and governed data architecture on AWS, capable of supporting real-time analytics and reporting. Additionally, the client powers their home services web app with this normalized dataset.