
Banking: DWH & Data Governance for compliance and efficiency
Central database and binding governance framework for a financial institution – for reliable reporting and less regulatory effort.
- Customer
- Finanzinstitut
- Industry
- Banking / Finance
- Project duration
- Enterprise project
An evolved, complex system landscape led to data silos and made it difficult to have a consolidated view of customers, risks and business processes. Increasing regulatory requirements for data quality, reporting and traceability tied up considerable resources. There was a lack of binding data governance processes company-wide.
We have built a central database and established a robust governance framework: clear data responsibilities, consistent definitions, documented lineage and automated quality checks. Reporting routes for regulatory purposes are reproducible and verifiable.
- Improved regulatory compliance and robust reporting
- Strengthened risk management through a consolidated view
- Increased data quality and integrity, clear responsibilities
- Increased efficiency and cost reduction in reporting
Deliverables
zentral
Datenbasis
verbindlich
Governance
testable
Reporting
More success stories

Plant capacity without hardware investment
Ingredion needed data-driven predictions for optimal response times. Precise forecasts for all production conditions increased capacity by up to 10% in six months.

AI guided repair assistant
An MVP for guided repair plus automatic quoting in just two months. The assistant suggests the procedure to technicians directly in the service software with 90% accuracy.

Data lakehouse as a central intelligence platform
SAP, Salesforce, production and sensor data transferred to Databricks — a central data platform for AI, BI and GenAI use cases of many data teams.

Next-Best-Action Marketing im Telko-Konzern
Data science-supported control of call centers and sales activities: 20% more call acceptance and, depending on the product, 2–15% more sales.
