Business Impacts
Consolidated data warehouse using Snowflake landing zone
Improved data governance capabilities & enhanced quality of data
Access to latest data without duplication
Next-gen performance & Scalability with Snowflake
Customer Key Facts
- Country : North America
- Industry : Insurance
- About : Our client is a premier specialized insurer, adept in managing a broad spectrum of insurance needs including property casualty as well as life and health insurance. Recognized for their expertise and commitment to excellence, they provide tailored insurance solutions that address the unique requirements of their diverse customer base
Problem Context
Client wants to build a unified data zone for statistical reporting. The current system relies on a decentralized, reactive model across business units, which can be resolved using Snowflake.
Challenges
- Scaling issues with the existing EDW limiting its use for data analytics & process automation
- Inability to integrate reports directly with data sources, leading to manual refresh every day
- Conversion & mapping issues in downstream data warehouses due to data inconsistencies
- Data silos & redundancies owing to non-centralized data
Technologies Used
Snowflake
Informatica
Control M
HVR
Solution
Quantiphi built an EDW solution on Snowflake for Statistical reporting that can properly align process ownership, streamline & automate the process to fulfill the company’s downstream reporting and business needs.
Snowflake was leveraged as a raw data landing zone to ingest data from multiple source systems with Snowflake’s native support for HVR. Quantiphi enabled data model creation to ingest Policy, Claims and Billing Center data into Snowflake
Results
- We have successfully consolidated data warehouse
- Significantly improved data governance capabilities and enhanced the quality of data
- Easy access to the latest data without the need for duplication
- We have achieved exceptional performance and scalability using Snowflake
