Hotel Bookings and Channel Fees Dataset
Compare bookings, cancellations and channel charges with consistent service-date definitions.
A practical workbook exercise for revenue managers and hotel finance analysts. Work from the underlying records, compare the relevant totals and explain how you reached your result.
About the dataset
This original synthetic dataset contains 968 source records across three related tables. The records are fictional and designed for descriptive business analysis.
Dataset details
| Industry | Hospitality and accommodation |
| Formats | Excel workbook and CSV files |
| Source records | 968 |
| Related tables | 3 |
| Fields across table schemas | 16 |
| Reporting cutoff | September 30, 2026 |
| Currency | USD for monetary fields |
| Source | Original synthetic data created for Jolene.pro Workbook Studies |
What's included
- Hotels: 8 records and 4 fields. One hotel.
- Bookings: 480 records and 8 fields. One single-room booking.
- Fees: 480 records and 4 fields. One financial adjustment record for a booking.
Recommended analysis
- Which channels generate the most completed room nights?
- How do commissions change booking contribution?
- Which hotels have the highest cancellation shares?
- Why are booking-date and check-in-date reports different?
How to work with the data
Use the following relationships to connect the source tables:
- Bookings.hotel_id → Hotels.hotel_id
- Fees.booking_id → Bookings.booking_id
Check the row grain before joining. Aggregate repeated child records to the required level before combining totals, so parent amounts are not counted more than once.
You can explore the workbook in Excel or Jolene.pro, or use the CSV files with SQL, Power BI and other analysis tools.
Definitions and assumptions
- Each booking is one room. Cancelled bookings have no consumed room nights and are fully refunded.
- Gross booking value is nights × nightly_rate. Do not subtract a full cancellation refund twice after excluding cancelled bookings.
Use the field definitions and nullable-column guidance in the included data dictionary. Interpret blank values and reporting dates according to the scenario notes.
Downloads
The complete dataset ZIP includes the Excel workbook, three matching CSV files, a data dictionary, scenario notes, a source-row preview and license details.
Reuse and attribution
These are synthetic records, not customer data or industry benchmarks. Reuse is allowed under Creative Commons Attribution 4.0 International (CC BY 4.0). Credit Jolene.pro and identify any changes you make.