Power BI consulting that starts with trusted metrics—not another pretty report

Aurea Quantra builds and rescues Power BI environments for mid-market teams: governed measures, reconciled ERP/CRM data, executive dashboards, and a path to Fabric when it actually helps.

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Problems this engagement is built for

  • Power BI reports disagree with finance or the ERP
  • DAX and models grew organically and are hard to change safely
  • Refresh failures and performance block adoption
  • Copilot/Q&A answers are wrong because the model is weak

Architecture and integration patterns

  • Star/snowflake models with clear fact and dimension ownership
  • Centralized measure tables and naming conventions
  • Incremental refresh and gateway patterns sized for mid-market ops
  • Fabric/OneLake staging only when Power BI alone is no longer enough

Typical engagement

Typical first phase is one priority dashboard on a cleaned semantic model, plus documentation and training. Strategy and Fabric readiness can precede or follow that build.

Starting deliverables

  • Model review and fix backlog
  • Governed measures and executive dashboard
  • Source reconciliation notes for finance/ops
  • Optional Fabric readiness assessment

Related platforms and pages

Chicago Power BI consultant · Semantic model consulting · Microsoft Fabric · Platforms

Honest scope boundaries

  • We optimize for maintainability and trust, not visual novelty contests
  • We do not claim Microsoft partnership status on this page

FAQ

Can you work with our existing Power BI tenant?

Yes. Most work improves what you already own rather than starting from zero.

Do you support row-level security?

Yes—when territories, brands, or cost centers require it.

Ready to scope the first phase?

Bring the current stack and the decision your team cannot make confidently. The BI Diagnostic stays practical and vendor-aware—not a product pitch.

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Disclaimer: Platform names identify technologies we can assess, integrate, or support. They do not imply vendor partnership unless explicitly stated.

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