Flights, load factor, fares, and loyalty for a regional airline
Industry
Regional airline network, revenue, and operations analytics
Company size
28 airports, 60 routes, 38 aircraft across 6 fleet types
Network scale
42K flights scheduled over two years, 98% operated
Traffic scale
2.55M passengers at 84.4% average load factor
Revenue scale
$495M network revenue, $133M route margin at 26.9%
Dataset scope
15 Professional-tier tables, 2.64M rows
Tavrenna Airways is a fictional regional airline created for synthetic BI demos and training; every airport, city, route, tail number, fare, and crew member is invented. The kit presents a believable mid-market regional carrier where BI builders move from monthly network revenue and load factor into route economics, per-flight operations, punctuality, fare-class mix, ancillary revenue, loyalty, and crew utilization. It is built for network planning, revenue management, operations, and loyalty teams rather than as a dispatch, reservation, or safety system of record.
These are the operating questions this kit is optimized to answer first.
Connect total revenue, passengers, load factor, and route margin month by month.
Compare hubs, regions, aircraft types, and routes on revenue, load factor, punctuality, and margin.
Follow on-time performance, delay minutes, and cancellations by reason through the weather calendar.
Connect monthly route P&L down to itinerary bookings and ancillary purchases, and flights down to their full crew complement.
Route P&L revenue rolls up from complete per-flight revenue, with sampled bookings providing the fare-class and channel mix beneath it.