Building A Processing Pipeline To Ingest, Process And Load Raw Data From Claims System Onto GCP

Solution

Quantiphi migrated 150 terabytes of Claims, Premiums, Policies, and Financial transactions data from Oracle Exadata to Google’s BigQuery and built a financial transaction model, a production-ready claim center data warehouse on Google Cloud, and an enterprise-grade DLP solution to manage its RED data.

Quantiphi also created a scalable data architecture and data processing pipelines that will ingest, process and load the raw data from the Claims system onto GCP.

Result

Petabyte-scale functionalities, and flexible pricing
Improved data governance and security
GCP’s scalable architecture reduced querying time, automated backups, and decreased downtime
Significant cost savings for the customer
Higher performance with BigQuery over the on-prem Oracle database
Flexible data ingestion pipelines and serverless capabilities enabled data warehouse creation for analytics and machine learning
Improved actionable insights through faster and flexible consumption of EDW data on Google Cloud
Real-time analytics