Azure data consulting that ends in trusted BI—not orphan pipelines
Aurea Quantra designs and repairs Azure analytics paths—Data Factory, Azure SQL, Synapse-style environments, and lake storage—so Power BI and operational reporting stay maintainable.
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Problems this engagement is built for
- Pipelines exist but business users still rely on Excel exports
- Azure SQL / warehouse tables lack clear grain and ownership
- Data Factory jobs fail quietly or are undocumented
- No clean contract between engineering artifacts and Power BI models
Architecture and integration patterns
- Define bronze/silver/gold (or equivalent) ownership even on modest Azure estates
- Align dimensional models to ERP/CRM business keys
- Treat Power BI semantic models as a first-class consumer
- Document refresh, secrets, and failure alerting for mid-market teams
Typical engagement
Assessment of current Azure data movement and models, then a phased plan and first governed dataset for a priority dashboard.
Starting deliverables
- Architecture and pipeline review
- Target model and ownership map
- Initial pipeline/dataset implementation when scoped
- BI consumption handoff
Related platforms and pages
Microsoft Fabric consulting · Power BI consulting · Data warehouse modernization
Honest scope boundaries
- We focus on analytics and BI outcomes, not general Azure infrastructure sprawl
FAQ
Do you work with hybrid on-prem SQL?
Yes—gateways, staged landing, and gradual cloud moves are common.
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.