Case Study: Data Warehousing and Analysis for Insurance Company

Explore how Invent Consulting Limited facilitated data consolidation for an insurance company across 6 African countries, leveraging AWS cloud and Microsoft PowerBI for enhanced analysis.

Goals
  • Data Consolidation: Consolidate data from 6 African countries onto the AWS cloud for centralized storage and analysis.
  • Data Quality Dashboards: Develop data quality dashboards using PowerBI to ensure the integrity and quality of data in the warehouse.
  • Utilize AWS Services: Implement AWS Glue, AWS Lambda, AWS Data Pipeline for efficient data processing and management.
  • Database Solutions: Utilize AWS RDS and Redshift for efficient and scalable database solutions.
  • Enhanced Reporting: Utilize Microsoft PowerBI for comprehensive and insightful reporting.
Challenges
  • Data Fragmentation: Data spread across 6 different African countries, leading to fragmentation and complexities in consolidation.
  • Data Quality Assurance: Ensuring the quality and integrity of data in the consolidated warehouse.
  • Integration Complexity: Integrating various AWS services for seamless data processing and analysis.
Solutions
  • Data Consolidation Strategy: Implemented a comprehensive strategy to consolidate data from 6 African countries onto the AWS cloud.
  • Data Quality Dashboards: Developed PowerBI dashboards to monitor and ensure the quality of data in the warehouse.
  • AWS Services Implementation: Utilized AWS Glue, AWS Lambda, and AWS Data Pipeline for efficient data processing and management.
  • Database Solutions: Implemented AWS RDS and Redshift for scalable and reliable database solutions.
  • Powerful Reporting: Utilized Microsoft PowerBI for enhanced and insightful reporting capabilities.
Results
  • Centralized Data: Successfully consolidated data from 6 African countries, providing a centralized and accessible data repository.
  • Data Quality Assurance: Ensured data integrity and quality through the implementation of data quality dashboards.
  • Efficient Data Processing: Utilized AWS Glue, AWS Lambda, and AWS Data Pipeline for efficient data processing and management.
  • Scalable Database Solutions: Leveraged AWS RDS and Redshift for scalable and reliable database solutions.
  • Insightful Reporting: Achieved enhanced reporting capabilities using Microsoft PowerBI for comprehensive analysis.