Rather than attempting a complete system overhaul, we began by narrowing our focus to two key data sources and three downstream processes from the bank's complex payment processing architecture. This targeted approach allowed us to deliver an optimized solution in just two sprints, or one month.

Drawing from the Data Vault methodology, we bridged the legacy system with modern principles. Through fifteen carefully crafted views and a new hub-link-satellite model, our hybrid design dramatically improved processing performance. Core payment data processing decreased from 4-5 minutes to just 10 seconds, while the overall process chain time improved from 15-20 minutes to 8-10 minutes. The new architecture also enables parallel processing of satellite tables, further enhancing system efficiency.

For the migration of the historical data into the new model, a reverse ETL process has been created to revert the transformed data back to its original source state as close as possible. A dedicated Business Satellite manages legacy surrogate keys, ensures unchanged downstream processes while enabling future modernization. Our view-based integration strategy for existing tables like contracts and currencies allows for gradual modernization without disrupting daily operations.

We also developed an automation toolkit for Data Vault component generation, providing the bank with standardized patterns for continued warehouse evolution. Combined with our loading scripts, this ensures a robust and maintainable system that can adapt to changing business needs and provides a foundation for future modernization.

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