Platform
Power BI Automation.
Semantic models and automation built on the platform layer — not bolted on top of it.
The problem
Power BI estates go wrong in a specific way: dashboards proliferate, semantic models drift, and nobody can answer “where does this number come from” six months later. The fix is not another dashboard. It is a disciplined semantic layer that lives on the platform, with automation that keeps it aligned to the data underneath.
What the practice delivers
We build Power BI semantic models on the Cloudbuilder Data Platform, with automation for refresh, lineage, and the reporting estate itself. The same practice designs the data pipelines and the semantic layer: there is no translation gap between what the data means and how it surfaces in a report.
Self-service enablement where it fits; disciplined semantic modelling where it has to.
In practice
Power BI work has shipped alongside data platform work in regulated financial services, at European-scale leisure operations, and into public-sector analytics. The reporting layer is treated as platform output, not as a separate product with its own data pipeline underneath.