Consolidation of business data across multiple systems provides better customer insights.
Challenge
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.
Objectives
- Consolidate data into a centralized data warehouse
- Maintain quality and accuracy of datasets
- Enable real-time analytics and reporting
Technology Utilized
- AWS DMS
- Python
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