Business intelligence and data platform consulting
From executive dashboards to cloud warehouses, Aurea Quantra helps teams create a reporting environment that is accurate, maintainable, and suited to the business—not just the technology.
BI strategy and reporting
Who it is for: Leadership teams that need clear KPIs and a reporting roadmap before more dashboards are built.
Symptoms: Conflicting metrics, dashboard sprawl, no shared operating questions.
Starting deliverable: KPI workshop, report inventory, prioritized roadmap.
Likely timeframe: 2–4 weeks.
Typical investment: Scoped after diagnostic; often $5,000–$12,000 for the plan phase.
Power BI and Tableau delivery
Who it is for: Teams still assembling weekly packs by hand or sitting on untrusted dashboards.
Symptoms: Manual Excel cycles, slow refresh, low adoption.
Starting deliverable: One high-value dashboard, governed measures, training and handoff.
Likely timeframe: 4–8 weeks.
Typical investment: $5,000–$15,000 typical.
Semantic modeling and KPI governance
Who it is for: Organizations where finance, sales, and operations argue about the same number.
Symptoms: Duplicate measures, tribal definitions, broken Q&A/AI readiness.
Starting deliverable: Metric dictionary, model fixes, ownership and refresh standards.
Likely timeframe: 3–8 weeks.
Typical investment: Scoped after diagnostic.
ERP, CRM, and operational integration
Who it is for: Companies whose systems disagree on pipeline, orders, customers, or revenue.
Symptoms: Spreadsheet merges, account matching gaps, backlog that does not reconcile.
Starting deliverable: Shared semantic model, matching approach, source-of-truth map.
Likely timeframe: 6–12 weeks.
Typical investment: $10,000–$25,000 typical.
Microsoft Fabric and Azure analytics
Who it is for: Teams on or evaluating Fabric, OneLake, Azure data services, and Power BI at scale.
Symptoms: Unclear Fabric roadmap, fragile refresh, semantic models not ready for AI.
Starting deliverable: Architecture review, phased plan, initial model or pipeline work.
Likely timeframe: Scoped by readiness vs. build.
Typical investment: Scoped after diagnostic.
Platform details → · Book My BI Diagnostic →
AWS and Amazon Redshift analytics
Who it is for: Organizations on AWS that need trustworthy warehouse and BI consumption patterns.
Symptoms: Costly or opaque Redshift workloads, S3 lakes without clear gold layers, weak BI handoff.
Starting deliverable: Workload/architecture review and practical modernization plan.
Likely timeframe: Scoped after diagnostic.
Typical investment: Scoped after diagnostic.
Platform details → · Book My BI Diagnostic →
Snowflake consulting and integration
Who it is for: Teams adopting or already on Snowflake who need BI-ready models and clear metric ownership.
Symptoms: Warehouse exists but dashboards still disagree; unclear transformation ownership.
Starting deliverable: Integration and modeling plan tied to Power BI or Tableau consumption.
Likely timeframe: Scoped after diagnostic.
Typical investment: Scoped after diagnostic.
Platform details → · Book My BI Diagnostic →
Databricks and lakehouse readiness
Credential: Databricks-certified practitioner delivery.
Who it is for: Teams whose reporting has outgrown desktop files or isolated SQL jobs.
Symptoms: Orphan Spark notebooks, slow Power BI, unclear bronze/silver/gold ownership.
Starting deliverable: Lakehouse readiness review and first governed pipeline/model step.
Likely timeframe: 4–12+ weeks depending on scope.
Typical investment: Scoped after diagnostic.
Databricks consulting → · Platforms → · Book My BI Diagnostic →
BI modernization, migration, and rescue
Who it is for: Teams inheriting fragile, expensive, or undocumented BI estates.
Symptoms: Single points of failure, undocumented SQL, platform lock-in without business case.
Starting deliverable: Architecture review, migration options, stabilize-or-replace recommendation.
Likely timeframe: 2–6 weeks for assessment; build phases follow.
Typical investment: Scoped after diagnostic.
Fractional BI and data leadership
Who it is for: Mid-market leaders who need senior BI guidance without hiring a full platform team yet.
Symptoms: No internal owner for metrics, vendors without accountability, stalled roadmaps.
Starting deliverable: Operating cadence, prioritization, and hands-on guidance through first wins.
Likely timeframe: Ongoing monthly or project-based.
Typical investment: Scoped after diagnostic.
Industry and topic pages
- Business intelligence consulting
- Power BI consulting
- Tableau consulting
- Microsoft Fabric consulting
- Azure data consulting
- AWS data analytics consulting
- Amazon Redshift consulting
- Snowflake consulting
- Databricks consulting
- Data warehouse modernization
- Semantic model consulting
- ERP & CRM data integration
- Manufacturing BI dashboards
- Distribution analytics consulting
- Power BI consultant (Chicago)
- ERP reporting modernization
- CRM + ERP dashboard development
- Power BI semantic model consulting
- Microsoft Fabric readiness
- Databricks, PySpark & Spark consulting
- Platforms overview