On time performance Operational resilience Decision support Cost control

1. DATA ANALYTICS
On Time Performance,
Operational Resilience,
Decision Support & Cost Control
By: Nick Gates

3. THE IMPACT OF DISRUPTION
~15-55%
of flights
delayed
worldwide
Global
OTP
76%
~3-4% of
global
airline
revenue
Direct
costs
US$28B
Source:
~US$75-$95
average
cost per
minute
Average
delay
50 min.

4. What is
going on?
What may
happen?
What should I
do?
AWARENESS, ANTICIPATION AND ACTION

5. Network
Flight
On the day of operations, real-time
awareness across the airline and for
selected flights*
• Connections (pax, crew, bags, cargo)
• Flight delay propagation
• Passenger reservations
• Scheduled maintenance
• Engineering (MELs)
• Ground operations tracking
Region
*depending on available
data from airlines
SHARED AWARENESS FOR IMPROVED OPERATIONS

6. Flight Arrivals
Aircraft Turnaround
Flight Departures
SHARED AWARENESS FOR IMPROVED OPERATIONS

7. PREDICTIONS FOR IMPROVED AIRPORT OPERATIONS

8. PREDICTIONS FOR IMPROVED AIRPORT OPERATIONS

9. PREDICTIONS FOR IMPROVED AIRLINE OPERATIONS

10. Detection
Prediction Disruption
Management
Warning Feed
NOTAM Decoding
ATI News Classification
Emergency Squawk Decoding
Flight Delay
Prediction
ATI Data
(Historical & Live)
DISRUPTION MANAGEMENT FRAMEWORK
Objectives:
• Detection: Relay information about possible disruptions to stakeholders and to
prediction algorithms
• Prediction: Warn ATI stakeholders about flight delays up to 72 hours in advance
• Disruption Management: Provide different options to manage delays more
effectively, to improve customer satisfaction and reduce costs

11. SITA ATI Cloud
Awareness
Solutions
Contextual
data
Global
flight data
Airport
data
Air-ground
data
Operational Intelligence
Data
Lake
Flight
performance
information
Weather,
ground traffic,
threats, etc.
Advanced
analytics
APIs
Airline PSS, Crew Roster
& Maintenance Systems
Airline OCC
& HCC Systems
APIs
Predictive
analytics
Flights
Passengers
Baggage
Aircraft
(tails)
Crew
(cockpit & cabin)
Cargo
Performance
Dashboards
Current flight performance & status
Potential operational impact
48-24-12* hour flight delay predictions
Day of operation flight delay predictions
Schedules/Plans
Geo-location/Status
Contingency and Recovery
(rules & measures)
* depending on availability
of flight information
DatabaseBusiness Rules
PREDICTIVE TECHNOLOGY

12. THANK YOU
nick.gates@sita.aero

13. DISCLAIMER
Any use, republication or redistribution of this content is
expressly prohibited without the prior written consent of the
Author. Permission to copy and reproduce content may be
granted by the author, at their discretion, and by request
only.
Source: presentation of Nick Gates, SITA at the
2017 SITA Air Transport IT Summit, Brussels.
2017 Air Transport IT Summit