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Excited to share a recent Power BI project I built for Baladna for Food Industries (بلدنا للمنتجات الغذائية) — an end-to-end dashboard tracking production and dispatch performance across regions and product categories.

What the dashboard covers:

📊 164 products tracked across multiple categories

📈 31M total production units with daily trend analysis

🗺️ Regional breakdown across 6+ governorates (Alexandria, Assiut, Aswan, Beheira, Beni Suef, Cairo, and more)

🎯 Dispatch rate vs. target tracking

📅 Interactive day/date-range filtering

Key insights surfaced:

Production trends by day of the week to spot operational patterns

Category-level performance (Long Life Juice, Chilled Juice, Ice Tea, Cheese, Hi-Protein)

Average production breakdown by product (Vanilla Custard, Whipping Cream, Turkish Labneh)

Even regional distribution across Red Sea, Sharqia, Sohag, South Sinai, and Suez

On the technical side:

I built a proper star schema data model — a central Production fact table linked to a Distribution fact table and a dedicated DateTable (with Day, Day Name, Month, Month Name), enabling clean time intelligence and cross-filtering across all visuals.

Tools: Power BI | DAX | Power Query | Data Modeling

This project reinforced how important a clean, well-designed data model is before jumping into visuals — it makes everything downstream (measures, filtering, performance) so much smoother.

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