How a Single CSV File Was Turned Into a Full Power BI Solution for a Kenya Logistics Firm

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A data analyst built a comprehensive Power BI reporting solution for JCars Logistics, a vehicle sales and delivery company operating in Kenya, using a single flat CSV file containing 276 rows and 32 columns. The process began with thorough data cleaning, including resolving 19 missing order IDs, standardising multi-currency values, and flagging two anomalous selling prices and one outlier delivery fee rather than altering them without verified corrections. The cleaned data was restructured from a flat file into a star schema comprising one fact table and eight dimension tables to enable more robust and accurate analysis. Over 30 DAX measures were developed and audited to ensure numerators and denominators drew from consistent row sets, reducing the risk of misleading calculations. The final deliverable included an executive dashboard with five KPIs and branch comparisons, five detailed report pages, and a dedicated investigation page for flagged orders, with the full project published on GitHub.

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