BUSINESS INTELLIGENCE

Power BI

Dashboards people actually use. Self-service analytics with the guardrails that keep Finance from losing sleep.

Power BI

Executive Summary

Real-time Analytics

The Challenge

When the Numbers Don't Line Up.

The reporting reality.

01

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.

02

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.

03

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.

Core Benefits

What Changes with Proper Power BI

Eliminate data silos, lower licensing costs, and empower executive teams with one source of truth.

Fabric Advantage

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.

fabric-workspace.microsoft.com

OneLake Storage

Sync: Active
AWS S324.5 TB
Azure Blob18.2 TB
GCS9.4 TB
Unified Fabric Workspace52.1 TB

What You Actually Get

End-to-end Microsoft Fabric implementation from architecture blueprinting to governance.

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.

Fabric Tenant
PROD (F64)
DEV (F32)

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.

Bronze LayerRaw Data
Silver LayerCleaned
Gold LayerBusiness Ready

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.

Source
Lakehouse

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.

Asset NameSensitivity
Customer_PIIHighly Confidential
Q3_FinancialsConfidential
Roadmap

Eight Weeks to Real Analytics

A proven path. No endless discovery. Real deliverables, every phase.

Fixed Scope Guarantee

10-Week Execution

Structured phased delivery with dedicated Microsoft Fabric architects. No endless discovery, just results.

Timeline GO LIVE
Wk1
Wk4
Wk8
Audit-Ready Infrastructure
Full Codebase Ownership
Week 1

Assessment

We inventory existing reports and data sources. We identify what's working and what's trusted. We define success metrics.

Key Deliverable
Prioritized dashboard roadmap
Week 2-3

Data Foundation

We connect to source systems. We build or refine the semantic model. We configure refresh schedules and row-level security.

Key Deliverable
Certified semantic model ready for reporting
Week 4-6

Dashboard Development

We design and build priority dashboards. We implement interactivity. We optimize for performance and mobile.

Key Deliverable
Dashboards deployed to production
Week 7-8

Enablement

We train analysts on self-service. We document the semantic model. We set up deployment pipelines. We establish governance.

Key Deliverable
Analysts building their own reports
Featured Case Study

Financial Consolidation Desktop

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 Challenge

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
Semantic model connecting SAP (financials), GP (legacy history), and WMS (inventory)
Executive dashboard: revenue, margin, inventory turns, cash position
Automated daily refresh replacing manual monthly exports
Row-level security: regional managers see their region, CFO sees everything
Self-service workspace for finance team exploration with the semantic model

"Monthly reporting: 5 days → same-day. CFO retired her verification spreadsheet. Finance team now spends time analyzing data instead of preparing it."

Got Questions?

Frequently Asked Questions

Most organizations have licenses but haven't built the foundation. Without a proper semantic model, governance, and training, Power BI becomes another collection of ungoverned files — just with better visualizations. We build the foundation that makes self-service work.

Ready for dashboards people trust?

We'll assess your current reporting, identify quick wins, and map out what governed self-service looks like.