Data and Analytics Platform Implementation Case Study

This case study outlines the implementation of a data and analytics platform for a leading US pharmaceutical firm transitioning from an on-premises infrastructure to a centralized cloud data ecosystem. The client faced challenges such as prolonged infrastructure setup processes and a lack of standardized data engineering practices. Tiger Analytics established a robust data foundation by evaluating existing tools and frameworks and automating provisioning using AWS Lambda and other AWS services. The solution included the deployment of a Unified Control Environment and the processing of big data through AWS Glue. The case study details how the use of AWS Lambda for event-driven ETL data loads and the establishment of a centralized data lake led to significant improvements. The provisioning time was reduced from one month to one day, enabling faster project turnaround and cost savings through a serverless architecture. The case study emphasizes the importance of automation and standardization in modernizing data environments.