Enterprise Data Warehouse Modernization Using Data Vault 2.0 for Financial Institutions

The client’s data was distributed across numerous isolated databases due to recent mergers, leading to slow service launches, unreliable reporting, data quality issues, and high infrastructure costs. Outdated technological stacks and increasing data volumes hinder growth, reduce competitiveness, and delay regulatory compliance processes.

A large financial institution operating across multiple regions with complex legacy data systems, seeking to unify data sources to enhance analytics, reporting, and product deployment.

• Achieve a unified 'golden source of data' to improve data consistency and quality.
• Increase data availability and report generation speed by at least 200%.
• Reduce data ownership and maintenance costs by 50%.
• Accelerate time-to-market for new products and services.
• Enable scalable handling of large data volumes, up to petabytes.
• Modernize the technological stack with flexible, technology-independent components.

• Design and implement a unified data warehouse architecture based on Data Vault 2.0 methodology to accommodate evolving business needs.
• Create an ETL pipeline for Extract, Transform, and Load processes that normalize, cleanse, and prepare data before loading into the warehouse.
• Ensure the pipeline supports scheduling, process automation, and data validation to maintain high data quality.
• Implement a core set of hubs, satellites, and links to model business concepts, descriptive data, and relationships.
• Use microservices architecture for data transfer and processing, ensuring high stability and scalability.
• Enable seamless integration of multiple data sources, including legacy systems, to support various operational and analytical use cases.
• Develop reporting and analytics modules that leverage the unified data platform to generate insights rapidly.

• Multiple operational source systems for data extraction
• External regulatory reporting systems
• Business intelligence and analytics tools
• Data validation and quality assurance components

• Scalability to handle data volumes up to petabytes with seamless growth
• High processing speed to enable report generation and analytics operations at least 200% faster
• Cost reduction of at least 50% in data ownership and maintenance
• Ensured data security and compliance with industry standards
• High system availability and fault tolerance to support enterprise operations

By implementing a unified enterprise data warehouse utilizing Data Vault 2.0, the client is expected to increase data availability and report generation speed by at least 200%, cut data ownership and maintenance costs by 50%, and significantly accelerate new product launches. The platform will support scalability to petabyte-scale data volumes, enhance data quality, and modernize technological infrastructure to foster growth, improve competitiveness, and ensure compliance.