Multi-unit Data Foundation system blueprint
This system connects location-level operational sources to a governed model for sites, products, people, customers and periods. It validates freshness, completeness and conformance so every downstream multi-unit workflow uses comparable data without replacing the source systems.
- Business function
- Operations
- Operating context
- Multi-unit operators
- Primary owner
- Head of Data
Operating brief
What starts the system
A source-data change, scheduled pipeline run or approved definition update.
Definition and hierarchy changes follow named owner approval and version control.
Operating sequence
How the system works
1. Ingest source records with lineage and map them to governed shared entities.
2. Validate freshness, completeness, uniqueness and cross-site comparability.
3. Publish approved data products, definitions and quality exceptions to downstream owners.
Inputs
- Source-system schemas and location identifiers
- Business definitions, hierarchies and calendars
- Data ownership, access and quality requirements
Outputs
- Governed multi-unit data products and definitions
- Data-quality, lineage and ownership register
Controls
- Definition and hierarchy changes follow named owner approval and version control.
- Role-based access limits sensitive location, employee and customer data.
Source landscape
Examples of systems it may connect to
- Microsoft Fabric
- Snowflake
- Databricks
- dbt
- Qlik Sense
Reusable core
What can carry across companies
The reusable core is source onboarding, entity resolution, quality testing, lineage and governed publication.
Your installation
What must be adapted
Each estate supplies its source landscape, site hierarchy, local identifiers, calendars and access policies.
Start with the closest pattern–or start from your process.
The catalogue represents reusable operating shapes, not fixed off-the-shelf applications.