Regulatory Reporting. Delivered in Months, Not Years.
Meet BCBS 239, audit requirements, and risk reporting deadlines — with a governed data vault that delivers automatic lineage, full historisation, and flexible mart delivery from day one.
- 4 Months Risk data mart delivered (HAL Privatbank)
- 100% Automatic data lineage
- 12 Months Legacy DWH decommissioned
Built for the demands of financial services data
Governance, lineage, and audit trails are not add-ons — they are built into the architecture.
-
Complete Audit Trail
Every data change is tracked and historised automatically. Point-in-time queries for any regulatory reporting date — out of the box.
-
100% Automatic Data Lineage
Full column-level lineage from source to mart — generated automatically, never manually maintained. Always up to date.
-
Fast Mart Delivery
Deliver risk data marts, regulatory reports, and business intelligence marts in months — not years of hand-coded ETL.
-
Flexible to Regulatory Change
Regulatory requirements change. Data Vault 2.0 architecture absorbs new data without rebuilding existing structures.
-
Legacy DWH Migration
Migrate off legacy data warehouses without starting from zero. Bring existing logic across and modernise it in the same project.
-
Platform Independence
Deploy on SQL Server, Oracle, Snowflake, Azure Synapse, or any other supported platform. No cloud migration required.
HAL Privatbank: raw vault in 1 month, risk mart in 4
Hauck Aufhäuser Lampe Privatbank AG operates under strict regulatory requirements for risk reporting, data integrity, and audit trails. Their legacy data warehouse could no longer keep pace with changing requirements or growing data volumes.
With Datavault Builder, HAL achieved:
- Raw Vault operational within 1 month
- Risk data mart delivered in 4 months — including full historisation and audit trail
- Legacy DWH fully decommissioned in 12 months — on time and on budget
- 100% automatic data lineage for regulatory compliance
-
With Datavault Builder, we have established a robust data integration platform that enables us to ensure data integrity while responding quickly and flexibly to changing business requirements.
Trusted by data-driven teams across industries
Frequently Asked Questions
- Yes. Data Vault 2.0 architecture provides automatic data lineage, full historisation, and point-in-time query capability — all required for BCBS 239 risk data aggregation. Lineage is generated automatically and never needs to be manually maintained.
- HAL Privatbank delivered their risk data mart in 4 months — with the raw vault operational within the first month. Timeline depends on scope and source system complexity, but Data Vault 2.0 architecture enables parallel development of raw vault and mart layers.
- Yes. Datavault Builder generates native SQL for all supported platforms — SQL Server, Oracle, Azure Synapse, Snowflake, and more. Cloud migration is not required. Many financial services clients start on-premises and migrate to cloud later.
See regulatory data delivery live
20 minutes. We'll walk through the architecture — raw vault, audit trail, risk mart, automatic lineage.