East Africa Mobile Money Performance Analysis Dashboard
Prepared by Intersect Analytics | Power BI, Data Analytics & Business Intelligence
Mobile money continues to reshape financial inclusion, digital payments, and economic activity across East Africa. To evaluate the performance of the region's leading operators, Intersect Analytics developed an executive-level Power BI dashboard analyzing transaction activity, user adoption, market share, and growth trends across key markets.
Key Findings
M-Pesa Maintains Regional Leadership
M-Pesa remains the dominant mobile money platform, leading in transaction volumes, active users, and market penetration. Its extensive ecosystem continues to strengthen its competitive position across the region.
Airtel Money Continues to Gain Momentum
Airtel Money has demonstrated strong growth, driven by increasing customer adoption, expanding service offerings, and rising transaction activity across multiple markets.
Digital Financial Services Are Experiencing Sustained Growth
The continued increase in mobile money usage highlights the growing importance of digital financial services in facilitating payments, commerce, savings, remittances, and financial accessibility.
East Africa Remains a High-Growth Market
Kenya, Uganda, Tanzania, Rwanda, and Ethiopia continue to present significant opportunities for financial institutions, fintech companies, investors, and businesses operating within the digital payments ecosystem.
Development Approach
Data was collected from industry publications, operator reports, and financial inclusion research.
Python was utilized for data extraction, cleaning, validation, and preparation using:
• Pandas
• NumPy
• Requests
• BeautifulSoup
• OpenPyXL
The final solution was developed in Power BI using Power Query, Data Modeling, DAX, and interactive visualizations to deliver clear, actionable insights for decision-makers.
Our Services
📊 Power BI Dashboards & Business Intelligence
📈 Financial Analysis & Performance Reporting
🐍 Data Scraping, Cleaning & Preparation
⚙️ Excel & Google Sheets Automation
🗄️ SQL & Database Analytics
🔄 Business Process Automation
Why Organizations Choose Intersect Analytics
We help organizations transform complex data into meaningful business intelligence by combining analytics, automation, and reporting expertise. Our solutions are designed to reduce manual effort, improve operational efficiency, accelerate decision-making, and provide the visibility required to support sustainable growth.
INTERSECT ANALYTICS
Power BI | Business Intelligence | Data Analytics | Automation | Financial Analysis
Decisions Backed by Data. Growth Driven by Insight.
This interactive dashboard provides a comprehensive view of profit performance across multiple dimensions—time, segments, regions, categories, and sub‑categories.
This dashboard transforms raw business data into actionable insights by allowing stakeholders to quickly identify profitable areas, spot regional trends, and evaluate category performance. It’s designed for clarity, interactivity, and decision‑making support.
#This is an excellent Profit Dashboard which is made in MS Excel with multiple creative functions help in understanding Monthly , Yearly , Area wise Profits.
I developed a professional Excel dashboard as a portfolio practice project to demonstrate my skills in financial data management, income and expense tracking, and business reporting.
Project Features:
Automated income and expense calculations.
Financial dashboard with key performance indicators (KPIs).
Transaction tracking and organization.
Expense analysis by category.
Financial charts and visual reporting.
Net income calculation.
Project Results (Sample Data):
Total Income: $46,200
Total Expenses: $9,090
Net Result: $37,110
Tools: Microsoft Excel
Skills: Data Analysis, Accounting, Financial Reporting, Data Entry.
This project demonstrates my ability to organize financial records, analyze business performance, and create clear financial reports using Microsoft Excel.
Note: This is a portfolio demonstration using fictional financial data.