Semantic model consulting for KPIs leadership can defend
Aurea Quantra builds and repairs semantic layers so revenue, margin, pipeline, customers, and operational metrics mean the same thing in every tool—Power BI, Tableau, or warehouse SQL.
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Problems this engagement is built for
- The same KPI has three definitions in three tools
- Relationships and grains are wrong, so totals never match finance
- AI/Q&A features fail because synonyms and measures are messy
- Nobody owns the metric dictionary
Architecture and integration patterns
- Business-owned metric definitions with technical implementation notes
- Conformed dimensions across subject areas
- Measure tables, display folders, and naming standards
- Tool-specific semantic layers that still share definitions
Typical engagement
Metric workshop and model review, then a prioritized remediation and documentation pack, optionally paired with a dashboard rebuild.
Starting deliverables
- KPI / metric dictionary
- Model relationship and grain fixes
- Governance and ownership recommendations
- Optional dashboard alignment sprint
Related platforms and pages
Power BI semantic models · Business intelligence consulting · ERP + CRM integration
Honest scope boundaries
- A semantic model cannot fix broken source systems alone—we will say when upstream data quality is the blocker
FAQ
Is this only for Power BI?
No. Power BI is common, but the same discipline applies to Tableau and warehouse-centric metrics.
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.
Disclaimer: Platform names identify technologies we can assess, integrate, or support. They do not imply vendor partnership unless explicitly stated.