Project Description
An advanced interactive dashboard built using Power BI to analyze humanitarian household data across four countries.
The dashboard transforms raw survey data into dynamic, decision-ready insights using Power BI’s data modeling and visualization capabilities.
? Key Insights Provided
Count of Households by Country
Income Distribution by Country
Housing Type Breakdown
Gender Distribution
Needs Analysis (Education, Clothes, Food, Money)
Comparative Country-Level Analysis
? Tools & Skills Used
Power BI Data Modeling
Relationships (Fact & Dimension Tables)
DAX Measures
KPI Cards
Interactive Visualizations
Percentage Contribution Analysis
Drill-down & Filtering
? Business Impact
Enables humanitarian organizations to identify priority countries.
Highlights which type of support is most needed (e.g., money vs food).
Helps compare economic conditions between countries.
Supports data-driven allocation of aid resources.
? What This Project Demonstrates
Strong understanding of Data Modeling (Fact & Dimension structure).
Ability to build scalable BI dashboards.
DAX calculations and measure creation.
Data storytelling and executive-level reporting.
Transforming Excel-based reporting into a professional BI solution.