Created a Power BI solution using a relational data model to analyze water access, service demand, pollution, crime, and regional infrastructure through interactive visualizations and KPI-driven reporting.
# Maji Ndogo Water Access Analytics
## Overview
Access to clean and reliable water remains a significant challenge across the fictional country of Maji Ndogo. Understanding where water services are available, the quality of those services, and the challenges faced by different communities is essential for informed decision-making and effective resource allocation.
This project uses Power BI to transform raw operational data into an interactive business intelligence dashboard. By building a relational data model and creating dynamic visualizations, the dashboard provides insights into water access, infrastructure, service demand, pollution, and community safety across Maji Ndogo.
## Objectives
The project aims to:
* Build a robust relational data model in Power BI.
* Clean and transform data from multiple related tables.
* Develop interactive dashboards that support data-driven decision-making.
* Identify regional disparities in water access.
* Monitor service demand through queue analysis.
* Explore environmental and social factors affecting water infrastructure.
## Dashboard Features
The dashboard provides insights into:
### Water Access
* Number of people served nationally and by province.
* Distribution of water sources across urban and rural communities.
* Regional access to different water source types.
* Water source distribution by province and town.
### Queue Analysis
* Average queue times at community water sources.
* Queue duration by day of the week.
* Queue patterns throughout the day.
* Gender composition of people waiting in queues (male, female, and children).
### Water Quality
* Pollution levels across different water sources.
* Identification of contaminated water sources.
* Distribution of polluted water sources by region.
### Community Safety
* Crime incidents occurring at community water sources.
* Geographic distribution of reported incidents.
* Relationship between water access and community safety.
## Technologies Used
* Powe …