BUEA SCHOLARS CREDIT UNION || LOAN PORTFOLIO REPORT

Industry: Financial Institution
Data Analysis, Excel, Power BI, SQL Server

Problem:

Buea Scholars Credit Union encountered challenges in effectively tracking and analyzing key performance indicators (KPIs) tied to its lending operations. The total number of loan applications received over specific periods was not consistently monitored, making it difficult to assess Month-to-Date (MTD) volumes and detect Month-over-Month (MoM) trends. Additionally, the total funded amount disbursed as loans lacked systematic tracking, limiting visibility into MTD performance and MoM changes. The Credit Union also faced difficulties in evaluating cash flow due to insufficient monitoring of the total amount received from borrowers, along with limited insights into corresponding MoM fluctuations. Fluctuations in average interest rates across all loans were not regularly assessed, hindering the ability to understand the cost structure of the loan portfolio. Furthermore, the average Debt-to-Income Ratio (DTI) among borrowers was not consistently evaluated, leaving a critical gap in assessing members’ financial health. These issues impacted Buea Scholars Credit Union’s ability to make informed lending decisions, manage portfolio risk, and drive operational improvements.

Solution:

To address these challenges, a robust data analysis and reporting framework was implemented. Key metrics such as Total Loan Applications, Total Funded Amount, Total Amount Received, Average Interest Rate, and Average Debt-to-Income Ratio were centralized and calculated across both Month-to-Date (MTD) and Month-over-Month (MoM) intervals.

Interactive dashboards were developed to visualize trends and fluctuations in real time, enabling faster identification of emerging issues and lending opportunities. The system also allowed for automated updates and comparisons, improving the timeliness and accuracy of performance tracking.

As a result, Buea Scholars Credit Union significantly enhanced its visibility into portfolio performance, supported by data-driven insights that informed strategic decisions, optimized risk management, and improved member financial services.

NB: Client Requested All Values To Be In Dollars.

Result:

📈 Loan Analysis:

Total Loan Applications stood at 38,576, mean while the total funded amounts sum up to $435,757,075. The total amount that was received was $473,070,933. We further discovered that, among all loans granted, the %tage makeup of Good Loans stood at 86.2% while Bad loans stood at 13.8%.

🚢Loan Status Grid View

In order to gain a comprehensive overview of our lending operations and monitor the performance of loans, we aim to create a grid view report categorized by ‘Loan Status.’ By providing insights into metrics such as ‘Total Loan Applications,’ ‘Total Funded Amount,’ ‘Total Amount Received,’ ‘Month-to-Date (MTD) Funded Amount,’ ‘MTD Amount Received,’ ‘Average Interest Rate,’ and ‘Average Debt-to-Income Ratio (DTI),’ this grid view will empower us to make data-driven decisions and assess the health of our loan portfolio.

 

 

📊 Seasonality Trend

As part of the solution, two key visualizations were developed to enhance lending insights at Buea Scholars Credit Union. A line chart showing monthly trends by issue date was used to identify seasonality and long-term patterns in lending activities. Additionally, a donut chart provided clarity on loan term distribution, allowing stakeholders to easily understand how loans were spread across different term lengths. These visual tools supported more informed and strategic decision-making.

 

🚀 Strategic Actions & Recommendations

The analysis of Buea Scholars Credit Union reveals a significant discrepancy between Total loan Funded and Total Amount Received. Based on this , the credit union is doing well with an overall profit of $37.3M. While loan applications totaled a relatively modest 38.6k, the credit union funded $435.8M and received $473.1M. This substantial difference suggests several potential areas for further Investment.

Loan Portfolio Composition: The relatively low percentage of bad loans (13.8%) compared to good loans (86.2%) indicates a generally healthy loan portfolio.  However, Let’s build on this momentum by continuing to embrace challenges, collaborate effectively, and stay focused on our shared vision.  The future is bright, and together, we’ll achieve even greater success.

Recommendation: More good loans should be granted, while paying attention to the Douala Branch that is making a significant loss of $390k. More training on loan analysis and risk assessment should be done.

🚢 Regional Analysis & Paginated Report

A map enabled regional analysis by regions, helping to pinpoint areas with significant lending activity and highlight regional disparities.