Building Trust in Data: Our Data Vault 2.0 Framework in Microsoft Fabric
Data Is Only Valuable, When People Can Trust It
Many companies have an abundance of data, but trust in that data is often fragile. Numbers change between reports, sources are unclear, and answering simple questions like “Where did this number come from?” can take hours or even days. At the same time, regulatory pressure and expectations for data management continue to increase.
Trust, traceability, and transparency are no longer optional. They are fundamental. This is exactly the problem we set out to solve with our Data Vault 2.0 Framework built on Microsoft Fabric.
From Black Box to Transparency
Before introducing our framework, data pipelines behaved like a black box. Data arrived in reports, but understanding how it got there, what changed, or why results differed from yesterday required manual investigation.
Today, every data movement is traceable, every change is documented, and the state of the platform is visible in real time. Our approach is based on one core principle:
Trust is not created in dashboards – it is created in the data architecture.
A Metadata-Driven Data Vault 2.0 Approach
We developed a fully automated, metadata-driven Data Vault 2.0 framework on Microsoft Fabric. New data sources are described once using metadata. From that single definition, the framework automatically generates all required layers, pipelines, and logging structures. This ensures consistency, reduces manual effort, and makes the onboarding of new sources significantly faster.
The architecture follows a clear and proven structure:
- Raw Vault: A secure, history-preserving store of source data. Every record change is captured and retained, ensuring full auditability.
- Business Vault: Business rules, calculations, and harmonization logic are applied transparently and reproducibly.
- Gold Layer: Reporting-ready facts and dimensions, optimized for BI tools, analytics, and downstream use cases.
Transparency by Design
Every layer of the framework automatically produces audit information. Minutes after a pipeline run, we know what changed, when it changed, and whether processing was successful, without manual investigation.
All key metrics are available in a live operations dashboard in Microsoft Fabric, providing instant visibility into data quality and pipeline health.
"We've turned our data platform into a live report: every run is traceable, every change is captured, and everyone can trust the numbers."
Why It Matters
- IT leaders gain standardization, governance, and control.
- Controllers and analysts work with consistent, auditable data and full history.
- Data engineers onboard new sources faster – without compromising quality.
The Result
Every run is traceable. Every change is documented. Every number can be trusted.