big data transforms flight operations
TRANSCRIPT
GLOBAL EAGLE ENTERTAINMENT BIG DATA: TRANSRFROMING FLIGHT OPERATIONS PRESENTED AT 9TH ANNUAL FLIGHT OPERATIONS CONFERENCE DR. TULINDA LARSEN VP COMMERCIAL OPERATIONS SOLUTIONS DECEMBER 2015
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GLOBAL EAGLE ENTERTAINMENT
Hollywood & International Movies, 40+ Languages
Digital publications
Music
Games
Internet Access
Instant Messaging
Gate-to-Gate
Connected Applications
Live Television
Wireless Streaming
Destination Deals / Info
Flight Tracker
Sponsorships, Partnerships & Advertising
Avia0on Big Data
Data Capture & Analysis
Crew-‐Related Support
Shopping
navAero
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CHANGING ANALYTIC EXPECTATIONS
Limited by usable data and computa5onal power Use past opera5ons and isolated data slices to guess what the future looks like
Today
Robust, high fidelity data founda5on Real-‐5me analy5cs observe and compare to historical trends automa0ng/improving decisions
Tomorrow
Forward looking
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NEXT GENERATION AIRCRAFT: TERABYTES OF DATA
Current Genera5on Next Genera5on
Example AircraD A320ceo, B777, A330, A340 A380, A350, B787
Avionics bus Analog Digital
Streams of data 20-‐40 discrete streams of avionics informa0on
Sensor data – thousands of simultaneous streams
Data genera5on per opera5ng month 5 gigabytes Up to 30 terabytes
(~30,000 gigabytes)
Interfaces Requires analog-‐to-‐digital conversion through EFB
or interface device
Na0ve digital connec0vity to installed inflight connec0vity
systems
Requires big-‐data analy0cs
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THE DATA FLOOD IS HERE
Future applica5ons will require robust histories & perspec5ves Impera0ve to invest in data pla_orms that create the
founda0on to support big-‐data analy0cs
Infinite storage Inexpensive cloud
storage, no bandwidth restric0ons and an ecosystem of apps
Freedom from legacy IT constraints – collect as much data as you can
Mobile engagement Pervasive, connected, and loca0on-‐aware
through GPS, WiFi and Beacons
Personalized interac5on employees & customers … and profile data too
Connected aircraD Real-‐0me connec0vity
and tracking – commercial and
opera0onal implica0ons
High fidelity visibility into aircraD health, loca5on and customers on board
Airlines need to capture, link, and store
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BIG DATA DRIVES EFFICIENCY GAINS
Cloud infrastructure Virtualized, on-‐demand resources with infinitely extensible processing, bandwidth and storage
Data pooling & query plaQorms Connect data & create structure by merging, condi0oning streams and archived data
Predic5ve analy5cs Automated analy0cs integrated into workflow that unlock data value and improve opera0onal performance
Business intelligence Data mining and visualiza0on soeware that reveals trends and ac0onable informa0on
DRIVING EFFICIENCY GAINS
Data mining cloud data warehouse feed BI and predic0ve analy0cs
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Stream Operations Data from Aircraft to Ground• Revolu0onary new data source to improve
real-‐0me decision-‐making, opera0ons planning, and day-‐of flight opera0ons
Process in Cloud-based Platform and Provide Critical Analytics• Integrate with exis0ng data sets to add
meaning and context • Timely informa0on that informs real-‐0me and
near real 0me decision-‐making • Ac0onable data that drive business decisions
and results
THE VISION Connect aircrae with analyst in real 0me
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CONNECTED AIRCRAFT
Get Aircrae Data Avionics data Cabin sensors
Cabin crew & pilots Customer devices
Transmit Air-‐to-‐Ground Priori0ze data feeds
Stream data to ground Upload customer info Pla$orm independent
Process, Analyze & Solve Understand demand
Calculate real-‐0me ETA Customer support
Communicate w/crews
Interface between pilots, cabin crews and ground
Reads cockpit & cabin data Links to avionics systems Transmits to IFC systems
Cloud-‐based pla_orm to process, analyze and inform Collect data from all sources Combine with passenger data
Present solu0ons to management
Vision: Use In-‐Flight Connec0vity (IFC) to communicate with passengers and harness real-‐0me aircrae data from aircrae inflight
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FLIGHT DECK Real-‐0me data from aircrae inflight transforms flight opera0ons
Opera0ons: • Electronic Flight Bag
eliminates paper and weight • Beger fidelity data for
Performance calcula0ons (APIs)
• Real-‐0me weather • Fault repor0ng • FOQA data
Benefits: • Reduced delays, improved
dispatch reliability, increased on-‐0me departures
• Timely and informed decision-‐making on the ground
• Increased planning capability • Reduced costs • Increased safety
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CABIN CREW Flight agendants can reduce the poten0al for errors with real-‐0me data exchange Opera0ons:
• Replace Cabin paper logs that are passed on to ground crew aeer landing and then keyed into airline systems with automated systems
• Real-‐0me passenger info, i.e. status, connec0ons, special info
Benefits: • Transmijng discrepancy logs and
cabin inventories inflight saves 0me on the ground, reduces error and results in lower costs
• Instant payment processing for on-‐board transac0ons reduces opportunity for fraud
• Medical emergency support • Inflight issues repor0ng can diffuse
poten0al emergency situa0ons
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GROUND CREW/TECH OPS Ground crew can improve dispatch reliability and reduce cost with real-‐0me data exchange
Opera0ons: • Engine/ airframe monitoring • Fault data • Aircrae Records • Data/content loading • Scheduling Benefits: • Having cri0cal aircrae data in
advance results in quicker decision-‐making for airlines to manage replacement aircrae and schedule maintenance
• Improve dispatch reliability and on-‐0me performance
• Reduce cost
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CONNECTED AIRCRAFT: IMPROVE OPERATIONS Vision: Use IFC to transmit high-‐fidelity data to reduce disrup0on, improve opera0ons, reduce cost, improve service
REDUCE DELAYS & CANCELLATIONS
Iden0fy the root causes of opera0onal disrup0on • Highlight conges0on, weather, scheduling issues • Benchmark against other airlines
IMPROVE FLEET RELIABILITY
Stay ahead of maintenance problems • Use aircrae data to stage parts, labor on landing • Use analy0cs to predict when failures likely
REDUCE FUEL CONSUMPTION
Op0mize routes both before and during flight • Industry-‐wide flight tracks: iden0fy best ones • Use real-‐0me data to op0mize aeer takeoff
IMPROVE PASSENGER SERVICE
Empower ground opera0ons with beger informa0on • Improve ETA calcula0ons: no more gate waits • Focus resources when passengers impacted
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REAL-‐TIME REPORTING & MONITORING Using IFC to transmit data
Product Utilization
Data
Identify issues Quickly Aircraft Status Purchase
Rate Check Aircraft
Location
• Onboard repor0ng system collects all technical and commercial data in
real-‐0me
• Upon landing each airplane sends addi0onal in-‐depth repor0ng logs • All technical and commercial data available on a web-‐ based repor0ng
dashboard accessible by authorized airline personnel
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EXAMPLE: ESAD
Great Circle Distance = 3,416 nm ESAD = 3,505 nm
Precise aircrae tracking for post-‐opera0onal analysis Example: American Airlines 64, JFK-‐ZRH (B767-‐300ER) 2/28/2015
Distribution*of*Max*Cruise*Altitudes*vs.*Stage*LengthFL#(00)
Ranges#of#Stage#Lengths,#nm
Granular analysis of flight paths, across airlines
• Routes filed (North American + internal) • Routes flown (aircrae-‐reported + ADS-‐B) • Process, analyze, apply data to planning
ESAD = Equivalent S0ll Air Distance
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ACTUAL FLIGHT ROUTES
* Sample size: 6 days, Dec 1-‐6, 2013
Real data shows various rou0ngs between UA 757-‐200, AA 767-‐200 and JetBlue A320
Great Circle Distan
ce
Sample Route: LAX/LGB-‐JFK Different Carriers/Equipment
AA 030 (767-‐200) UA 233 (757-‐200) B6 014 (A320)
En-route Altitudes
Differs from theore0cal great circle distance
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BENCHMARKING Percentage of Opera5ons Short/Medium/Long Haul &
Corresponding A+14 Performance (January through April 2015)
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Emirates E0had Qatar Saudia Turkish
0-‐1,000 miles 1,001 to 4,000 miles 4,001+ miles
Short Haul 16.7% of flights
68.8% A+14
Medium Haul 68.3% of flights
65.8% A+14
Long Haul 15.0% of flights
65.7% A+14
Short Haul 19.5% of flights
71.8% A+14
Medium Haul 66.1% of flights
61.3% A+14
Long Haul 14.4% of flights
57.0% A+14
Short Haul 35.6% of flights
87.1% A+14
Medium Haul 53.8% of flights
80.9% A+14
Long Haul 10.6% flights, 83.0% A+14
Short Haul 78.3% of flights
84.4% A+14
Medium Haul 18.3% of flights
69.2% A+14
Long Haul 3.4% flights, 67.4% A+14
Short Haul 61.8% of flights
73.4% A+14
Medium Haul 34.1% of flights
65.1% A+14
Long Haul 4.1% flights, 60.6% A+14
% o
f Tot
al S
ched
uled
Dep
artu
res
Jan-
Apr
201
5 Compe00ve comparisons
© Copyright Global Eagle Entertainment Inc. 2015 All Rights Reserved Proprietary and Confidential Information
CONCLUSIONS Big-‐data Transforms Analy0cs for Flight Opera0ons
We already live in a sea of data … and it is growing ü 35 million flights, trillions of data points annually ü Cri0cal to store every aspect of flight opera0ons
Cloud warehousing captures the data ü Full transi0on in coming years to cloud-‐based apps and datasets ü IT systems must be open architecture with easy data input/output ü Link and pool data to create valuable structured informa0on
Big data analy0cs feed new applica0ons ü Priori0ze data collec0on as founda0on for future efficiency gains ü Beger fidelity data will improve analy0cs
THANK YOU!
FOR MORE INFORMATION CONTACT: Dr. Tulinda Larsen Vice President, Commercial
GEE Operations Solutions E: [email protected] T: +1 443 510 3566
10790 Parkridge Drive Suite 310 Reston, VA 20191 USA