Power BI for Travel & Hospitality: RevPAR, Channel, and Guest Dashboards

A hotel group builds Power BI dashboards. At the monthly revenue review, the GM notices RevPAR in the dashboard differs from the PMS night audit report the GM trusts. Each is calculated correctly within its own logic, but the definitions differ: the dashboard uses one room count treatment, the night audit uses another. ADR handles complimentary rooms differently. Channel attribution uses different field mappings. The GM goes back to the night audit report and the STR STAR data the group already receives. The revenue manager uses the RMS dashboard. The marketing team has their own guest report. Power BI becomes another tool nobody trusts for the numbers that drive decisions — RevPAR, ADR, occupancy, and channel mix.

Hospitality Power BI done right locks definitions in the tabular semantic model with documented methodology the revenue team has signed off on. One RevPAR definition matching STR methodology and reconciling to the night audit. One ADR with documented treatment of complimentary, house-use, and day-use rooms. One channel attribution mapping matching the revenue team's methodology. One TRevPAR calculation including rooms, F&B, spa, and ancillary. Sourced from the governed data layer with night-audit reconciliation after every daily load. All dashboards consume from this model. The GM morning report, the revenue meeting dashboard, and the ownership package all show the same numbers. Done this way, methodology debates stop. Done without semantic discipline, every review starts with 'but the night audit shows...'