Success Story: From Zero to Risk Data Mart in 4 Months

Discover how Hauck Aufhäuser Lampe Privatbank AG (HAL) successfully replaced their legacy data warehouse with a fully automated, governed Data Vault platform.

  • 1 Month Raw Vault in operation
  • 4 Months Risk data mart delivered
  • 12 Months Legacy DWH decommissioned

5 Reasons to read the story

  • Risk DWH in 4 months

    How a Risk Data Warehouse was implemented in just four months — including full historisation and audit trail.

  • Raw Vault in 1 month

    How the Raw Vault was implemented within the first month, laying the foundation for rapid data mart delivery.

  • Business Vault flexibility

    How the Business Vault enabled flexible, rapid response to changing regulatory and business requirements.

  • Regulatory compliance

    How Datavault Builder supported HAL’s regulatory reporting requirements with built-in lineage and documentation.

  • Legacy DWH decommissioned

    How the legacy data warehouse was fully decommissioned within twelve months — on time and on budget.

Key Outcomes

  • 1 Month Raw Vault operational
  • 4 Months Risk data mart live
  • 100% Automatic data lineage
  • 12 Months Legacy DWH replaced
  • 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.

    Dr. Uwe Herzog
    Dr. Uwe Herzog Team Lead Business Intelligence Hauck Aufhäuser Lampe Privatbank AG

Why HAL Chose Datavault Builder

  • Intuitive GUI

    Visual, graphical user interface that accelerates onboarding and reduces the learning curve for new team members.

  • End-to-end automation

    Efficient, visual approach covering the entire data warehouse lifecycle — from ingestion through to reporting.

  • Native Docker support

    Docker-based deployment simplifies installation, updates, and upgrades across the banking infrastructure.

  • Same-day support

    Rapid, often same-day support during the Proof of Concept — critical for a regulated banking environment.

  • High automation degree

    Automation across development and lifecycle management reduces manual effort and eliminates human error.

Get the HAL Success Story

Real banking project — Risk data mart in 4 months, legacy DWH replaced in 12 months. Enter your name and email to unlock the PDF.

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