The semantic model is where Power BI succeeds or fails. We design star-schema models with clean DAX architecture, calculation groups, row-level security, and the right storage mode, built to be shared, certified, and maintained.
The same disciplined framework behind our enterprise migrations: documented, validated, and led by senior expertise from start to finish.
Inventory every report, data source, and dependency. Usage analysis identifies what actually matters.
Retire duplicates and unused reports. Typically 30 to 50 percent never need migrating.
Rebuild on Power BI and Fabric with governed semantic models and validated outputs.
Workspaces, row-level security, certified datasets, and documented standards.
Training and handover so your team owns the platform, not a vendor.
A free 30-minute discovery call: bring your questions about power bi semantic model design, leave with a clear next step and an honest read on effort and cost.
Almost always: each report carries its own dataset with its own logic. Consolidating onto shared, certified semantic models with governed measures is the structural fix.
It depends on volume, latency, and infrastructure. We benchmark your actual workload against the options and document the tradeoffs rather than defaulting.
Often yes: DAX rewrites, relationship fixes, aggregations, and refresh strategy recover most performance. Where rebuild is genuinely cheaper, we say so with evidence.
Every model ships with measure definitions, lineage, and design rationale, so the next developer (internal or external) is not starting from archaeology.
Tell us what you are working with. A senior specialist will respond within one business day.