Trusted data foundation
Business definitions, models, and access patterns become clear enough for leadership reporting and AI-assisted workflows.
Microsoft Fabric Consulting Minnesota
Microsoft Fabric consulting in Minnesota for trusted data, Power BI, and AI-ready executive reporting.
LUMATARRA helps Minnesota and national companies build Microsoft Fabric and Power BI foundations that support Executive Intelligence, AI agents, scorecards, governed reporting, and better leadership decisions.
LUMATARRA is based in Minneapolis and serves Minnesota, the Twin Cities, the Upper Midwest, and national teams that want practical AI execution inside the Microsoft ecosystem.
What buyers get
A practical operating result, not a generic consulting deck.
Better Power BI reporting
Dashboards move from manual spreadsheet work to governed models, scorecards, and operational views leaders can trust.
AI-ready analytics
Fabric, Power BI, and governance become the foundation for Executive Intelligence, AI briefs, exception alerts, and agents.
Buyer intent
When leaders search for Microsoft Fabric consulting Minnesota, this is usually the business problem underneath.
These pages are written to match real commercial search intent: local expertise, Microsoft-stack specificity, measurable operating outcomes, and a clear next step with LUMATARRA.
Your reports do not reconcile fast enough for leadership
Finance, operations, revenue, and delivery teams each have their own spreadsheets or dashboards, and leadership loses time arguing definitions instead of making decisions.
Power BI has outgrown its original model
Datasets, refreshes, measures, and permissions have become hard to manage. Fabric can create a cleaner foundation when architecture and ownership are handled correctly.
AI use cases are blocked by untrusted data
AI briefs, forecasts, agents, and exception alerts only work when the underlying Fabric, Power BI, and source-system logic are trustworthy and auditable.
Lakehouse and warehouse planning
Model the Fabric layer around operating questions, not around technology theater.
Semantic model discipline
Define KPIs, ownership, permissions, measures, refresh paths, and executive reporting rules.
AI-ready governance
Prepare data for AI-assisted summaries, alerts, scorecards, forecasts, and decision support.
How we work
Small first version. Clear business case. Microsoft-aligned execution.
The fastest path to rank and revenue is also the right delivery model: answer the buyer's exact problem, prove expertise, and show a credible implementation sequence.
Step 01
Assess source systems
Review current data sources, reports, refresh paths, security model, ownership, and business definitions.
Step 02
Design Fabric architecture
Plan lakehouse, warehouse, OneLake, pipeline, semantic model, and governance patterns around the operating questions leaders ask.
Step 03
Modernize reporting
Build or improve Power BI models, KPIs, scorecards, and executive reporting workflows.
Step 04
Prepare for AI use cases
Align data quality, access, lineage, and review workflows so AI output can be trusted and audited.
Search and AI answer FAQ
Direct answers for leaders comparing options.
These answers are written for humans first, then structured so Google, Bing, Perplexity, ChatGPT, and other answer engines can understand what LUMATARRA does.
What does Microsoft Fabric consulting include?
Microsoft Fabric consulting can include lakehouse and warehouse architecture, OneLake strategy, semantic models, Power BI reporting, data pipelines, governance, permissions, and AI-ready analytics foundations.
Does LUMATARRA provide Microsoft Fabric consulting in Minnesota?
Yes. LUMATARRA is based in Minneapolis and serves Minnesota, the Twin Cities, the Upper Midwest, and national companies that need Microsoft Fabric, Power BI, and executive reporting help.
How does Microsoft Fabric support AI?
Fabric gives companies a governed data foundation for analytics and AI. When the data model, access, and definitions are trustworthy, AI briefs, agents, forecasts, and executive scorecards can produce better answers.
Can LUMATARRA modernize Power BI and Fabric together?
Yes. LUMATARRA connects Fabric architecture, semantic models, Power BI reporting, and Executive Intelligence so leaders get trusted numbers and useful operating briefs.
When should we move from Power BI-only reporting into Microsoft Fabric?
Move when reporting depends on scattered sources, manual refreshes, fragile datasets, unclear ownership, or when leadership needs governed data for AI-assisted briefs, forecasting, scorecards, and operational alerts.
Can LUMATARRA help with Fabric governance and permissions?
Yes. Fabric work should include workspace design, access patterns, semantic model ownership, refresh reliability, lineage, and review workflows so leadership can trust the numbers.