The financial industry faces the challenge of managing credit risk effectively to ensure the stability and profitability of lending operations. Credit risk refers to the potential loss that may occur when a borrower fails to repay a loan or meet their financial obligations.
Analyzing and understanding credit risk is crucial for financial institutions to make informed lending decisions and minimize potential losses.
The objective of this Power BI project is to create a comprehensive and interactive dashboard that aids in the analysis and mitigation of credit risk using a credit risk dataset. The dataset contains information about borrowers, their financial history, and various factors that influence credit risk.
Gain insights into the structure and characteristics of the credit risk dataset.
Identify key variables such as borrower demographics, loan details, credit scores, and historical payment behavior.
Create interactive dashboards that allow users to drill down into specific segments or time periods.
Implement filters and slicers for users to customize their view and focus on relevant aspects of the credit risk analysis.