Data and Analytics Platform Development Case Study

This case study details the development of a unified Data and Analytics (D&A) platform by Tiger Analytics for a Fortune 500 life insurance company. The primary objective was to create a single source of truth that supports multiple analytics and Machine Learning (ML) use cases. The existing data landscape was challenged by disjointed data reservoirs and scalability issues with ETL processes. To address these challenges, Tiger Analytics implemented a four-pronged solution, which included a Data Vault Architecture for effective data tracking and lineage, a robust Data Quality Framework for monitoring data integrity, and the use of Snowflake as a centralized Data Lake. The architecture was designed to accommodate various data types and improve query performance, enabling faster access to business insights. Additionally, an Asset Store was developed to function as an Information Mart, tailored to specific use cases. Overall, the implementation significantly enhanced data provisioning and decision-making capabilities for the client.