Business IntelligencePower BI
Dashboards people actually use. Self-service analytics with the guardrails that keep Finance from losing sleep.
When the Numbers Don't Line Up.
The reporting reality.
The Endless Backlog
"Can you add customer segment to this report?" Sure. That request joins the queue behind 47 others. Two weeks later, the requester has moved on to a different question. Meanwhile, they built their own spreadsheet because they couldn't wait.
Fifty Dashboards, Zero Accountability
Everyone has "their" dashboard. Marketing's version. Sales's version. The CFO's "real" numbers. When leadership meets, the first ten minutes are always "let me explain where my data comes from." Nobody knows which dashboard is right because nobody owns the answer.
Beautiful Charts, Ugly Data
The visualizations look professional. But underneath? Direct connections to production databases that time out. Imported data that's three days stale. Measures that calculate differently depending on which filter you apply. The dashboard is a facade over chaos.
What Changes with Proper Power BI
Connect Once, Use Everywhere
Power BI connects to 200+ data sources. Cloud databases, on-prem systems, REST APIs, flat files. Bring it all into a semantic model. Build connections once — then every report uses the same governed source.
Self-Service with Guardrails
Analysts build their own reports without waiting for IT. But they build on certified semantic models with defined measures and relationships. Freedom to explore, boundaries on what "revenue" means.
Lives Where Your Team Works
Embed dashboards in Teams channels. Export to PowerPoint for board meetings. Analyze in Excel for the CFO who will never stop using spreadsheets. Insights in the tools people already open every day.
Measures That Mean Something
A semantic model defines "revenue" once. Every report calculates it the same way. No more "my dashboard shows $12M, yours shows $11.7M." One truth, documented and owned.
AI That's Actually Useful
Copilot writes DAX formulas, explains measures, and suggests visualizations. Smart narratives summarize charts in plain language. Less time building, more time understanding.
Enterprise Controls That Don't Slow You Down
Workspaces organize content by team. Deployment pipelines promote reports from dev to test to production. Row-level security controls who sees what. Endorsement labels mark what's certified. Governance that enables instead of blocks.
What You Actually Get
Everything you need to go from fragmented data to a governed, production-ready platform.
Semantic Model Design
We design the data model that encodes your business logic. Star schemas, proper relationships, calculated measures, display folders. The foundation analysts build on — not raw tables they have to figure out.
Executive Dashboards
Clean layouts for decision-makers. Relevant KPIs without clutter. Drill-through for the details when needed. Mobile views for executives who check numbers from the airport. Designed for decisions, not decoration.
Migration and Optimization
We migrate legacy reports from SSRS, Crystal Reports, or "that Excel file nobody can explain." We fix slow reports — inefficient DAX, bloated models, refresh timeouts. Existing investments rescued.
Row-Level Security
Sales reps see their territory. Managers see their team. Executives see everything. One report, appropriate access for everyone. No separate versions to maintain.
Deployment Pipelines
Changes move through dev → test → production. Validated before end users see them. Version control. Rollback capability. CI/CD thinking for analytics.
Analyst Training
We train your people to build reports confidently. DAX fundamentals. Visualization best practices. How to use the semantic models we built. Self-service that actually works.
Eight Weeks to Real Analytics
Tangible deliverables each phase — from architecture sign-off to analysts on governed data.
Assessment
We inventory existing reports and data sources. We identify what's working and what's trusted. We define success metrics.
Prioritized dashboard roadmap
Assessment
We inventory existing reports and data sources. We identify what's working and what's trusted. We define success metrics.
Prioritized dashboard roadmap
Financial Consolidation Desktop
The Context
$80M distribution company. Finance team of three. Reporting infrastructure: a network folder with 847 Excel files and a 12-year-old Access database nobody dares to touch.
The Reality
Month-end meant exporting data from SAP, GP, and their WMS into Excel, then manually reconciling for five days. Different stakeholders received slightly different versions depending on when the export happened. The CFO built her own 'trust but verify' spreadsheet.
What We Built
The Outcome
"Monthly reporting: 5 days → same-day. CFO retired her verification spreadsheet. Finance team now spends time analyzing data instead of preparing it."
Frequently Asked Questions
Got questions? We've answered the most common ones. If yours isn't here, reach out — we'll give you a straight answer.
Ready for dashboards people trust?
We'll assess your current reporting, identify quick wins, and map out what governed self-service looks like.