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nusratsaadat/Kenya-Excel-Data-Analytics

Domain:

socioeconomic
Creator:
nus
Host:
Strategic Business Intelligence Dashboard using Excel Data Modeling (Star Schema) and DAX to analyze solar energy sales performance in Kenya. # ☀️ Kenya Solar PAYGO Strategic Analytics 🇰🇪 ### Transforming Raw Installment Data into Credit Risk Intelligence ## 🎯 Business Context: The PAYGO Challenge In the Kenyan renewable energy sector, managing 12-month installment plans is a high-stakes balancing act between market expansion and **Credit Risk Management**. This project bridges the gap between raw daily transactions and executive-level strategic decision-making. ## 🧠 Strategic Insights & Solved Problems This dashboard is engineered to solve 3 critical business bottlenecks: ### 1. Executive Overview: Profitability vs. OPEX * **The Problem:** Scaling sales often masks rising operational costs, leading to "growth without profit." * **The Solution:** A high-level view of **Net Margin** and **Revenue Trends** that ensures every solar unit sold contributes to the bottom line. ### 2. Geographic Intelligence: Regional Collection Risk * **The Problem:** Payment behavior varies significantly across Kenya's 47 counties; a "one-size-fits-all" collection strategy fails. * **The Solution:** Visualizing **Collection Rates by County** allows management to deploy field agents to high-risk areas while identifying the most stable regions for expansion. ### 3. Operational Performance: The 12-Month Lifecycle * **The Problem:** Customer "Churn" or default typically peaks at months 3-5. * **The Solution:** An **Ownership Progress Tracker** that monitors the health of each contract, allowing for early intervention before a customer becomes a "Write-off." ## 🧪 Technical Deep-Dive (The "Engine") * **Relational Data Modeling:** Built on a professional **Star Schema** architecture to ensure lightning-fast performance even with high transaction volumes. * **Advanced DAX Metrics:** * `Collection Efficiency %`: Real-time tracking of (Actual Payments / Expected Installments). * `Portfolio at Risk (PAR)`: Identifying delinquent accounts based on 30/60/90 day buckets. * **VBA UI Customization:** Implemented an "App-like" experien …