Solution

Quantiphi migrated 150 terabytes of data from Oracle Exadata to Google’s BigQuery.
Built a claim center data warehouse on GCP
Developed an enterprise-grade DLP solution

Results

Significant Cost Savings

60% Reduction in Infrastructure & Maintenance Costs: The migration from Oracle Exadata to Google’s BigQuery resulted in substantial cost savings in infrastructure and maintenance, reducing overall operational expenses.

Improved Claim Processing

Integrated Claim Center Data Warehouse: Built a comprehensive claim center data warehouse on GCP, enabling better integration with the Claim Center/Rules Engine.
Predictive Model Deployment: Developed and deployed predictive models in Vertex AI for scoring claims based on severity (high, medium, low) upon First Notice of Loss (FNOL).

Expanded Data Infrastructure

21,000 Data Mart Tables Added: The addition of 21,000 data mart tables expanded the client’s data infrastructure, providing a robust foundation for advanced analytics and reporting.

Data Integration and Preparation

Combining Structured and Unstructured Data: Prepared input data for machine learning models by integrating data points from uploaded structured and unstructured documents with legacy data from the client’s database.
Seamless Module Integration: Achieved seamless integration with multiple modules, enhancing the overall functionality and efficiency of the system.

Enhanced Analytical Capabilities

3x Growth in Analytics Business: The migration facilitated a threefold increase in the analytics business, allowing the client to leverage enhanced data processing and analytical capabilities.
150 TB Data Migrated: Successfully migrated 150 terabytes of data, ensuring seamless continuity and accessibility of historical data.

Enterprise-Grade Data Security

Enterprise-Grade DLP Solution: Developed a robust Data Loss Prevention (DLP) solution, ensuring the security and compliance of sensitive data throughout the migration and beyond.