Power BI
Semantic models, governed workspaces and reports that hold up in a board meeting.
Power BI with a governed model underneath it, instead of four hundred workbooks.
Assessment + implementation. A tenant review where reports already sprawl. Model, governance and build from there.
BI leads, analysts and the IT owners asked to support whatever gets published.
Every department has its own version of revenue, a refresh keeps failing, or capacity costs jumped and nobody can say which report is responsible.
The practice
Tenant and workspace review
What exists, who owns it, what is refreshing, what is duplicated, and which reports are load-bearing for a decision.
Semantic models
A star schema and measures defined once, in a model that reports share — the structural fix for four versions of the same number.
Workspace and lifecycle design
Development, test and production workspaces with deployment pipelines, so a change is promoted rather than republished over the top.
Row-level security
Access enforced in the model against the business rules that define it, rather than by giving each audience its own copy of the report.
Certified datasets
The datasets people are meant to build on, endorsed and documented, so self-service has an obvious right answer.
Performance and capacity
Model size, query patterns, refresh windows and what is actually consuming capacity. Most performance problems are model design, not licensing.
Report design
Built for the question and the audience, with the definition of each measure reachable from the page it appears on.
Enablement
Teaching analysts the model, the patterns and the boundaries, so what they build next does not need rescuing.
Four hundred reports, a dozen that matter.
Power BI spreads faster than any governance around it. This is the climb out.
- 01Sprawl
Everyone publishing, logic re-implemented per workbook, nobody able to say which report is authoritative.
- 02A shared model
A star schema with measures defined once, and reports as thin presentation on top of it.
- 03Lifecycle
Development, test and production workspaces with deployment pipelines, instead of republishing over the top.
- 04Governed self-service
Certified datasets, row-level security in the model, and analysts who know where to build.
We review the tenant, build the semantic model underneath it, set up workspaces and deployment pipelines, enforce row-level security in the model, and tune what is slow before anyone buys more capacity.
The model is the product
A governed semantic model is the difference between a platform and a sprawl. Measures defined once, relationships modelled properly, and reports as thin presentation on top. Without it, every report re-implements the logic, and every re-implementation is a chance to disagree.
We fix the model before you buy capacity
Before buying capacity, look at the model: wide tables imported whole, calculated columns doing work a measure should do, relationships in the wrong direction, refreshes pulling far more than the report uses. Capacity fixes a symptom at a subscription price.
Security belongs in the model
Row-level security enforced once, driven by the rules the business already has, beats maintaining separate reports per audience — which is where access quietly drifts and someone eventually sees a region they should not.
What you keep
The code and the data·Your existing relationships·Approval and control·The ability to stop·The off switchWhat that means
Start with a 45-minute briefing.
No pitch. We’ll map your situation against what actually works and tell you honestly where to start.