Step 01
Discover
Clarify the decisions, owners, sources, constraints, and success measures.
Case studies
How the reporting actually got fixed
Each story follows the same path: context, solution, process, technologies, challenges, and results — across manufacturing, finance, healthcare, retail, services, and logistics.
NDA-readyFixed-scope first releaseBusiness + IT handover
- Operating since 2012
- Microsoft Power BI specialists
- NDA-ready data handling
- Fixed-scope first releases
- Independent — not affiliated with Microsoft
- 01
Context
Who they are, where the numbers lived, and why the pack kept breaking.
- 02
Solution
The model, dashboards, and access rules we shipped.
- 03
Process
How we discovered, built, checked, and handed over.
- 04
Technologies
Power BI and the stack around it — with why.
- 05
Challenges
What got hard in delivery, and how we fixed it.
- 06
Results
What changed in the meeting — without inventing metrics.
Selected engagements
Manufacturing
Production visibility across multi-plant ERP and MES
Plant packs came from ERP, MES, and quality in separate workbooks. We built one Power BI model so throughput, OEE, yield, and shortages share the same plant and shift story.
Finance
Multi-entity P&L and cash with close controls
Entity workbooks disagreed on mappings and timing. We built one finance model for P&L, cash, and variance with reconciliation in plain sight.
Healthcare
Daily capacity with one cut-off and role-based views
Beds, staffing, and flow arrived at different times. We built one capacity model with a shared cut-off and views by role.
Retail
Store, ecommerce, inventory, and margin in one hierarchy
Channels disagreed on product and timing. We built one hierarchy for sell-through, stockouts, markdown risk, and realized margin.
Professional Services
Project margin and utilization from Dynamics and timesheets
Budget, time, and billing lived apart. Directors now see delivery risk and forecast margin weekly — not only at month-end.
Logistics
Service and cost-to-serve on one shipment spine
A mid-size 3PL ran TMS, WMS, and finance on different shipment IDs. We staged a lifecycle spine so ops and finance review the same load.
Delivery process
A clear path from decision to adoption
Every engagement follows the same rhythm: discover the decision, design the model, build the reports, and adopt with ownership.
Step 02
Design
Define KPIs, model structure, security, refresh, and the first release scope.
Step 03
Build
Develop transformations, measures, and dashboards in short review cycles.
Step 04
Adopt
Validate, train, document ownership, and leave a maintainable improvement path.
Continue exploring this topic
Related pages that deepen the same subject—services, industries, integrations, and proof.
Why teams trust Power BI Analytics
Enterprise delivery with clear ownership
Power BI Analytics combines Power BI craft with business process discipline—so leaders get numbers they can act on.
14
Years building software & automation
Enterprise security practices
Microsoft Power BI specialists
Business + IT delivery model
Measurable reporting ROI
What to expect in an engagement
- Named business sponsor and delivery ownership
- KPI definitions validated against source totals
- Security-aware workspace and refresh design
- Documented handover, not a black-box model
- First release scoped to prove value quickly
- Response within one business day on qualified enquiries
Response within one business dayClear first-release scopeGoverned KPI definitionsSecurity-aware delivery
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