Data Integration of AWS Data lake for the BI process
For a large Life Insurance company
CLIENT & PROBLEM STATEMENT
- Large Life Insurance company seeking sales tracking reports using data from Amazon S3 bucket
- Data transformation required on S3 data to generate insights via BI tool.
APPROACH
- Integrated data from client’s Amazon S3 bucket with on-premise Teradata for comprehensive analysis.
- Employed G-Square’s proprietary ETL process to extract, transform, and load data, ensuring integrity.
- Transformed data seamlessly integrated into Narrator BI tool, deployed on AWS cloud for scalability.
- Wrote queries and functions for transforming raw data in the calculated measures and KPIs.
- The data pipeline process was configured for regular data transfer on the AWS data lake to our BI tool.
SOLUTION & OUTPUT
- G-Square’s ETL process transformed S3 and Teradata for the Narrator BI tool in AWS.
- Robust and efficient data pipeline built which brings data live from multiple sources is live every day morning.
- G-Square implemented an AWS Data Lake integration to manage and process 400 to 500 million rows of Life Insurance data over a span of 3 years.
- The integration streamlined data storage and processing, allowing for faster data access and real-time reporting.
- The efficient ETL workflows minimized delays, ensuring timely availability of data live every day morning, which improved decision-making and operational efficiency.