Enterprise BI Platform — Use Cases

The same architecture serves any organisation whose data is split across systems and whose leaders need one trusted view. These are the patterns it solves repeatedly.

⚠ Before
Finance, sales, and operations each reconcile their own figures by hand. Monthly reporting takes days, source files are emailed around, and leadership sees conflicting totals for the same metric.
✓ After
Every source is ingested on schedule, consolidated in Snowflake, and served through one Power BI semantic model. Reports refresh automatically, every number traces to its source, and all dashboards agree.

Where it delivers

Finance
Consolidated financial reporting
ERP actuals, CRM pipeline, and budget files combined into one model — revenue, margin, and variance by entity and period, refreshed without manual consolidation.
Multi-Country Ops
Regional performance with one definition
A single semantic model with row-level security lets each country see its own numbers while leadership sees the consolidated total — same measures, no reconciliation.
Retail / FMCG
Sales, inventory, and demand together
POS, ERP stock, and supplier feeds conformed into one star schema for sales-vs-stock analysis and demand signals across products and regions.
NGO / Donor
Programme + finance in one place
Field indicator data and expenditure combined for donor-ready reporting, with burn-rate against budget and audit-traceable figures.
Data Teams
A governed foundation to build on
A tested medallion warehouse and certified semantic model mean new dashboards take hours, not weeks, and never re-define metrics from scratch.
Leadership
One source of truth
Executives stop arguing about whose number is right and start acting on it — because every report reads from the same trusted model.
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The live demo uses demo data generated in the browser. It illustrates the architecture and reporting patterns — no real organisational data is used or transmitted.
🔬 Methodology 📄 Documentation 🧪 Open Live Demo →