Source diagnosis
A map of every system that produces data, with an honest read of quality, gaps and duplication before anything is modelled.
Service
Data architecture and BI
Data modelling and a single source of truth. When every area brings a different number to the meeting, the problem is not the report, it is the architecture.
The classic symptom is a meeting where marketing, finance and commercial each present a different revenue figure. That is not a reporting problem, it is the absence of an agreed model. We define where each metric comes from and how it is calculated, once.
Book a 30-min conversationWhat this service covers
Deliverables that work together or separately, depending on where your brand stands.
Dimensional modelling
A structure that holds facts and dimensions in a way analysis can navigate, instead of a copy of the operational base.
Metric dictionary
A written definition of what each indicator means and how it is calculated, agreed with the areas that use it.
BI layer
A semantic model the business team can query without asking the data team for a new query every time.
Data governance
Rules on access, retention and sensitive data, so growth does not turn into exposure.
Team training
Handover so your people can maintain and evolve the model without depending on us for every change.
How we work
A clear method. A partner who stays when execution starts.
One number, one origin
Every metric has a single definition on record. Meetings stop arguing about whose figure is right.
Model before tool
Choosing the BI platform is the last decision, not the first. A bad model breaks in any tool.
Documented decisions
Every modelling choice is written down with its reason, including the ones we ruled out.
Governance from the start
Access and sensitive data are handled while the structure is being built, not after an incident.
Handover as goal
The project ends when your team can move on alone, not when the contract runs out.
Frequently asked questions
Do I need a data warehouse to start?
No. In many cases modelling on the sources you have already resolves the conflicting-numbers problem. The warehouse comes when volume justifies it.
How long does the diagnosis take?
Usually two to three weeks, depending on how many systems are in play and how accessible they are.
Which BI tool do you use?
The one that fits your context: Power BI, Looker Studio, Metabase. The model is built to be portable, not locked to one vendor.
What about the reports we already have?
We audit them. What is right stays and is rebuilt on the new model; what is wrong gets corrected with the correction on record.
Does the business team need to know SQL?
No. The semantic layer exists precisely so the business team can query without writing code.
How does this connect to ETL?
The model defines what needs to arrive. Pipelines make it arrive. They are usually the same project in two phases.
Want to understand how this applies to your brand?
Tell us about your operation. We will say honestly what can be delivered and how long it takes.
Get in touch