The Challenge: Growing a Live Data Warehouse Without Breaking It
The bank’s existing enterprise Data Warehouse was already core to daily operations, but it needed to evolve. Data volumes were growing, new applications needed to be integrated, and the architecture had to be ready for what came next — including an eventual move to the cloud.
The task wasn’t to replace what existed. It was to develop it further in a standardized, disciplined way — without disrupting the live, business-critical flows the bank already depended on.
The Discovery: Bringing in IDS
IDS Consulting was brought in to develop, extend, and standardize the bank’s Data Warehouse — designing new data flows and raising the quality and consistency of the information feeding core business processes, while laying groundwork for the bank’s future cloud platform.
The Solution: A Standardized Ingestion and Historization Flow
The team built a complete data ingestion and historization flow from the ground up — defining the transformation rules, mappings, and functional documentation behind it, using Oracle Database, Oracle SQL Developer, and SQL, alongside the bank’s existing project tools (Jira, Confluence, SharePoint, Excel).
- Complete ingestion and historization flow. Source data is captured, transformed, and historized end-to-end, creating a reliable base for downstream use.
- Rules, mappings, and documentation, fully defined. Every transformation is documented, not just implemented, so the platform stays maintainable as it grows.
- Data published for real consumption. The output feeds an application within the bank’s ecosystem and now underpins further development.
The Battle: New Development, Zero Disruption
Every new development had to fit inside a live, complex ecosystem — conforming to the platform’s existing standards without impacting flows already running in production.
The biggest challenge wasn’t technical execution — it was clarity. Initial documentation didn’t always cover every detail needed for implementation, so the team had to actively track down and confirm requirements as they went.
The Results: A Standardized Foundation at Scale
- Millions of records processed daily. The new flows handle high-volume data on an ongoing basis, feeding other applications and business processes.
- Higher data quality and consistency. Structured historization and clear standards raised the bar across the platform.
- A standardized foundation for what’s next. Future development and integrations now build on a consistent, documented base.
- Delivered to production, engagement growing. The first project under this engagement went live successfully, and the platform continues to evolve through new initiatives.
“IDS didn’t just build what we asked for — they took the time to understand our platform, so we never had to worry about what a new development might break. That gave us the confidence to keep moving.”
— Data Warehouse Lead, Leading Romanian Retail Bank
Quote illustrative — confirm wording and get client sign-off before external use.