Trusted KPIs
Leaders get consistent definitions for revenue, margin, capacity, pipeline, risks, decisions, and other operating metrics.
Power BI Consulting Minneapolis
Power BI consulting in Minneapolis for executive scorecards, trusted KPIs, and AI-ready reporting.
LUMATARRA helps companies modernize Power BI and Microsoft Fabric reporting into trusted scorecards, semantic models, executive dashboards, weekly AI-assisted briefs, and better operating 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.
Executive scorecards
Dashboards become leadership tools that show what changed, why it matters, and who needs to act.
AI-assisted briefs
Power BI and Fabric outputs can feed weekly summaries, exception alerts, decision logs, and operating follow-through.
Buyer intent
When leaders search for Power BI consulting Minneapolis, 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.
Leadership has dashboards but not decisions
The reports exist, but they do not clearly show the weekly priorities, risks, owners, decisions, and exceptions leaders need to act on.
The numbers are technically available but not trusted
Different teams disagree on definitions, refresh timing, source logic, or what a KPI should mean. Power BI needs semantic model discipline, not just prettier visuals.
The reporting team is overloaded
Manual exports, refresh checks, recurring report requests, and executive deck prep are draining capacity. The right Power BI and Fabric model can reduce that load.
Executive-first reporting
Start with the operating decisions and scorecard rhythm before rebuilding visuals.
Semantic model cleanup
Tighten KPIs, DAX, relationships, row-level security, refresh paths, and governance.
Briefs and alerts
Turn reports into weekly AI-assisted briefs, exception alerts, and follow-through workflows.
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
Audit reports and models
Review current Power BI reports, datasets, semantic models, refresh paths, permissions, performance, and executive usage.
Step 02
Define leadership questions
Clarify the KPIs and operating decisions the reports must support before rebuilding visuals.
Step 03
Modernize the model
Improve semantic models, Fabric architecture, measures, governance, and report reliability.
Step 04
Create the operating layer
Connect dashboards to briefs, alerts, owners, decisions, and follow-up workflows.
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 Power BI consulting include?
Power BI consulting can include semantic models, dashboard design, KPI definitions, report modernization, governance, permissions, performance, refresh reliability, and executive scorecards.
Does LUMATARRA offer Power BI consulting in Minneapolis?
Yes. LUMATARRA is based in Minneapolis and works with Twin Cities, Minnesota, Upper Midwest, and national teams that need Power BI, Microsoft Fabric, and executive reporting modernization.
How is LUMATARRA different from a dashboard-only Power BI consultant?
LUMATARRA connects Power BI to the operating rhythm: trusted KPIs, weekly AI-assisted briefs, exception alerts, decision logs, owner follow-through, and Microsoft Fabric foundations.
Can Power BI support AI search and Executive Intelligence?
Yes. When Power BI semantic models and Fabric data are governed, they can support clearer AI-generated briefs, forecasts, summaries, and operating alerts.
Can you fix Power BI reports that leaders do not trust?
Yes. The work usually starts by checking definitions, source logic, semantic models, measures, refresh paths, row-level security, and whether the report answers the decisions leaders actually need to make.
Do we need Microsoft Fabric for better Power BI?
Not always. Some Power BI issues can be fixed inside the model and report layer. Fabric becomes more important when source data, refresh, governance, history, and AI-readiness need a stronger foundation.