Unlocking Data Potential: Modernizing Financial Data Warehousing with AWS Cloud Solutions

Challenges.

The client faced significant challenges with its on-premises data processing system:

• Delayed data availability
• Compromised data quality
• Inefficiencies in data ingestion and processing
• Limited data accessibility for business reporting

Solutions.

Coforge designed and implemented a comprehensive AWS cloud-based data solution, utilizing the following technologies and approaches:

• Cloud-Based Architecture: Deployed Snowflake as the enterprise data warehouse (EDW) and data lake for scalable, future-ready architecture.
• Streaming Data Processing: Integrated Kafka for real-time data streaming and Snowflake for processing, providing live dashboards with Power BI.
• Data Replication: Used StreamSets for efficient data replication from system databases, supporting robust ETL processes.
• Centralized Management: Established centralized governance for reference data, enhancing data quality and management.

Key Highlights:

• Improved Data Availability: Ensured timely data access for business users with optimized and meaningful data.
• Enhanced Data Quality: Achieved a 40% improvement in data quality through direct source system ingestion and optimized loading.
• Efficient Reporting: Delivered 90% of reports on time, significantly boosting business reporting efficiency.

The impact.