A data foundation with clear origins.
We bring together the data your reporting needs, with shared definitions, traceable transformations and ownership of quality and operation.
A metric needs a traceable path.
Revenue in the shop, ERP and report may differ because of cancellations, taxes, currencies and booking dates. A data warehouse brings selected data together centrally. The business rules that turn raw data into usable information are essential to its value.
A foundation for dependable reporting
We make origins, calculations and freshness traceable so discrepancies can be investigated and later changes assessed. The system is designed for the required scope: existing platforms, data volume, permissions and operating costs all inform the decision.
Start with one reporting need
For the initial scope we select a question and its required sources. We agree source ownership, identifiers and refresh intervals. Deliverables include a documented data structure, agreed loading processes and checked outputs for the first application.
Build in quality and access controls
Checks for missing values, duplicates and unexpected changes belong in the data flow. We clarify which roles need which data, retention requirements and how changes are traced. Backup and recovery are planned for the agreed operating model.
How we deliver
Select the question
Choose a reporting need and its required sources.
Define the data
Agree authoritative systems, keys and business rules.
Build the flow
Connect loading, transformation and output transparently.
Check quality
Reconcile outputs with sources and agreed test cases.
Plan operation
Define freshness, access, cost and maintenance.
Questions before starting
Sources and technical context
Which sources need to connect for your next decision?
Tell us the reporting need and your existing systems. We define the smallest useful scope and its prerequisites.
Discuss your data foundation