This document discusses data visualization in the travel domain. It presents data on aircraft capacity and passenger numbers for four aircraft sizes over 18 months. The data shows total revenue, ancillary revenue, repeat passengers, and the projected revenue contribution of segmented versus non-segmented passengers over time. Primary data collection on customer preferences is identified as important and will take 18 months to complete, with a projected 40% monthly increase in data collected.
8. S. No.
Total No. of
seats per
Aircraft
No. Of
Aircrafts
Avg. Flights
/ Day /
Aircarft
Number Of
Passengers /
Month @80 %
Load Factor
Per
Aircarft
Revenue @
ATV INR
3000
Industry
Ancillary
Revenue
Avg. @ 9%
Rev.
/Aircraft/
Month
Avg.
Repeat
Passengers/
month @
63%
1 180 20 6 518400 1,55,52,00,000 13,99,68,000 69,98,400 326592
2 110 5 6 79200 23,76,00,000 2,13,84,000 42,76,800 49896
3 72 8 6 82944 24,88,32,000 2,23,94,880 27,99,360 52255
4 45 5 6 32400 9,72,00,000 87,48,000 17,49,600 20412
REVENUE ( NON SEGMENTED VS SEGMENTED
PASSENGER )
9. Contribution to the Total Rev, after
18 months - 30-35%
Zero revenue loss in 18 months
90% Data collection time 18 Months
Data Collection Compounding 40% pm
Revenue Increases by 11%
