Big Data Transforms Flight Operations

GLOBAL EAGLE ENTERTAINMENT BIG DATA: TRANSRFROMING FLIGHT OPERATIONS PRESENTED AT 9TH ANNUAL FLIGHT OPERATIONS CONFERENCE DR. TULINDA LARSEN VP COMMERCIAL OPERATIONS SOLUTIONS DECEMBER 2015

© Copyright Global Eagle Entertainment Inc. 2015 All Rights Reserved Proprietary and Confidential Information

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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


71.8% A+14


61.3% A+14

Long Haul 14.4% of flights

57.0% A+14


87.1% A+14


80.9% A+14

Long Haul 10.6% flights, 83.0% A+14


84.4% A+14


69.2% A+14



73.4% A+14


65.1% A+14


% o

f Tot

al S

ched

uled

Dep

artu

res

Jan-

Apr

201

5 Compe00ve comparisons


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

Technology

Big Data Transforms Flight Operations