The transportation industry generates large volumes of operational data through daily taxi bookings, fare transactions, customer interactions, and service activities. Analyzing this data effectively is essential for improving business performance, customer satisfaction, and operational efficiency. Traditional reporting methods often fail to provide dynamic insights and require significant manual effort. Therefore, Business Intelligence tools have become increasingly important for transforming raw transportation data into meaningful information.

This paper presents a Taxi Fare Analysis Dashboard developed using Microsoft Power BI. The proposed system utilizes data cleaning, transformation, modeling, and visualization techniques to analyze taxi booking data and generate actionable business insights. The dashboard provides detailed analysis of booking trends, revenue generation, vehicle performance, cancellation patterns, payment methods, and customer ratings. Power Query and Data Analysis Expressions (DAX) are used to preprocess and analyze data efficiently. Interactive visualizations such as KPI cards, charts, graphs, and slicers enable users to explore business performance dynamically.

The developed system demonstrates how Business Intelligence technologies can support data-driven decision-making in transportation services. The results indicate that Power BI provides an effective platform for analyzing taxi operations and identifying opportunities for business improvement.