How Raw Logistics CSV Data Was Transformed Into a Power BI Management Tool

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A business intelligence project for JCars Logistics, a vehicle sales and logistics company operating across branches in Kenya, involved building a complete Power BI solution from a messy 276-row, 32-column CSV dataset covering 2025–2026. The source data contained 21 categories of quality issues, including duplicate order IDs, mixed date formats, invalid calendar entries, inconsistent categories, multiple currencies, and unreliable revenue figures. Before any dashboard could be built, the data was profiled, cleaned, and standardised in Power Query, with a stable audit key added to replace an untrustworthy Order ID column. A dimensional model was then constructed alongside explicit DAX measures to track revenue, profit, branch performance, delivery service levels, logistics costs, and vehicle return rates. The project concluded with an interactive executive report and a structured set of findings and recommendations for management decision-making.

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