Power BI for Transportation: Fleet, Revenue, and Regulatory Dashboards

A carrier builds Power BI dashboards. At an executive review, the COO notices utilization in one dashboard differs from the number the CFO presents. Each is calculated correctly within its own logic, but definitions differ: one uses total tractors, another uses in-service tractors, a third uses in-service excluding assigned-to-driver-off. Cost per mile differs because fuel cost allocation differs. Safety metrics use different CSA BASIC categorization. Partners sitting in the meeting each have their own spreadsheet because nobody trusts the dashboard, and methodology debates consume review time. The data team agrees a semantic model is needed. Six months later, numbers still don't match because the team keeps adding exceptions and the model never gets locked.

Transportation Power BI done right locks definitions in the tabular semantic model with documented methodology operations and finance signed off on. One utilization definition with in-service/out-of-service treatment. One cost-per-mile methodology with fuel, driver, equipment, allocated overhead decomposition. One HOS calculation matching ELD logic. One CSA BASIC categorization matching FMCSA methodology. One revenue definition with linehaul, accessorial, and fuel surcharge treatment. All dashboards consume from this model. Done this way, methodology debates stop consuming review time. Done without the semantic discipline, every review starts with 'my spreadsheet shows...'