How Big Data Changes Aviation Efficiency 
Routes 2014 Presentation 
Joshua Marks, CEO
ROUTES CHICAGO 2014 
Airlines and airports generate tremendous amounts of data 
Legacy technology limits what we can log, merge and use 
Big Data unlocks the value of ambient data 
The cloud and “Big Data” tools transform how we collect, 
merge and analyze data, opening new frontiers of capability 
• Material change in operations and commercial capability 
• Highly disruptive to global aviation – winners and losers 
• Changes the industry’s profit horizon and long-term 
www.masflight.com 
Slide 2 
Efficiency and optimization
ROUTES CHICAGO 2014 
Lots of useful information 
Bookings & 
Transactions 
Loyalty 
Programs 
Seats sold 
Prices paid 
Elasticity 
Route demand 
Points of sale 
Ancillaries 
Customer name 
Demographics 
Location 
Travel history 
Preferences 
Offline activities 
Airport 
Operations 
Flight 
Operations 
Facilities used 
Time on gate 
Checked bags 
Carry on bags 
Above-wing 
Below-wing 
Flight plan 
Fuel loaded 
Weight/balance 
Taxi times 
Flight path 
Resources used 
Supporting Information – Weather, Fleet, Revenue, Social Media, Etc. 
www.masflight.com Slide 3
ROUTES CHICAGO 2014 
What’s the problem? 
Critical info is trapped in silos, crippling big data 
Needs structure, standardization and validation to be useful 
www.masflight.com Slide 4
ROUTES CHICAGO 2014 
Unified platforms are essential 
Blended 
Data 
Sets 
Single 
Data 
Slice 
Retrospective Predictive 
MySQL 
Oracle 
Excel 
Access 
Core 
Value for 
Aviation 
Today’s 
Modeling 
Tools 
• There are great visualization tools 
to improve planning and analysis, 
but what data do you feed them? 
• How do you ensure the integrity 
and reliability of data collected 
if you fully automate analytics? 
• How can you access large enough 
volumes of historical data to 
gamble on predictive analytics? 
www.masflight.com Slide 5
ROUTES CHICAGO 2014 
Big data feedback loop 
Cloud infrastructure 
Virtualized, on-demand 
resources with infinitely 
extensible processing, 
bandwidth and storage 
DRIVING EFFICIENCY GAINS 
Data pooling & query platforms 
Connect data & create 
structure by merging, 
conditioning streams 
and archived data 
Predictive analytics 
Automated analytics 
integrated into workflow 
that unlock data value 
and improve profitability 
Business intelligence 
Data mining and 
visualization software 
that reveals trends and 
useful information 
www.masflight.com Slide 6
ROUTES CHICAGO 2014 
Changing attitudes 
Limited by usable data 
and computational power 
Use past transactions and 
isolated data slices to guess 
what the future looks like 
Today 
Tomorrow Robust data foundation 
with computational power 
Real-time analytics observe 
and compare to historical trends 
automating/improving decisions 
Commercial example: 
Real-time demand monitoring 
Current systems: 
Past transactions reflect 
when supply matched 
demand, but don’t track 
abandoned purchases 
New approach: 
Track search and 
profile info on public 
websites to identify both 
completed transactions 
and abandoning users 
www.masflight.com Slide 7
ROUTES CHICAGO 2014 
Airports: comparative metrics 
Big Data illustrates each airport’s 
operational, commercial advantages 
• Demographics – wealth, demand, 
drive times from local communities 
• Commercial – flight connectivity, 
checkpoint crowds & vendor traffic 
• Operations – delays and congestion 
• Gates – availability and utilization 
Unlock differentiators that attract 
airlines, customers on multiple axes 
AVERAGE TAXI-OUT TIME (MINUTES) 
BWI CLT DCA EWR IAD PHL 
American 16.8 19.2 16.4 23.2 16.6 19.6 
Delta 19.3 23.1 19.4 21.8 18.5 20.8 
United 14.4 19.3 17.3 22.1 17.2 18.3 
US Airways 17.1 19.4 22.1 19.6 19.7 19.4 
Southwest 14.0 15.7 20.1 12.4 15.2 
Major U.S. Airline: Daily Departures per Gate 
10.3 9.5 8.5 8.5 8.4 8.3 7.9 7.5 7.5 7.2 
BWI LAS OAK DEN DAL LAX MCO HOU MDW PHX 
www.masflight.com Slide 8
ROUTES CHICAGO 2014 
Airports: operational variability 
East International 
(Even gates 90-100) 
21.3 min taxi-out 
West International 
(Odd gates 91-99) 
23.5 min taxi-out 
Outer Domestic Pier 
(Gates 76-77 and 80, 82, 84, 88) 
18.6 min taxi-out 
East Base Domestic 
(Gates 68-71) 
18.1 min taxi-out 
Inner Domestic Pier 
(Gates 81, 83, 85, 87, 89) 
20.7 min taxi-out 
masFlight Data - All UA SFO Operations 
West Base Domestic 
(Gates 72-75) 
21.0 min taxi-out 
www.masflight.com Slide 9
ROUTES CHICAGO 2014 
The data flood is coming 
Infinite storage 
Inexpensive cloud options, 
no bandwidth restrictions 
and an ecosystem of apps 
Freedom from legacy IT 
constraints – collect as 
much data as you can 
Mobile engagement 
Pervasive, connected, 
and location-aware through 
GPS, WiFi and Beacons 
Personalized interaction 
employees & customers 
and profile data too 
Connected aircraft 
Real-time connectivity and 
tracking – commercial and 
operational implications 
High fidelity visibility into 
aircraft health, location 
and customers on board 
Future applications will require robust histories & perspectives 
Imperative to invest in data platforms that create the foundation 
www.masflight.com Slide 10
Conclusions 
• We already live in a sea of data – collect it and leverage it 
ROUTES CHICAGO 2014 
– Commercial, operational, and social sources 
– 3 billion passengers, 35 million flights, trillions of data points annually 
– Critical to store every aspect of customer interaction 
• Applications are moving to the cloud – they need data 
– Full transition in coming years to cloud-based apps and data sets 
– IT systems must be open architecture with easy data input/output 
– Link and pool data to create valuable structured information 
• Prioritize data collection as foundation for future efficiency gains 
www.masflight.com Slide 11
ROUTES CHICAGO 2014 
www.masflight.com 
4833 Rugby Avenue, Suite 301, Bethesda, MD 20814 
www.masflight.com ™ +1 (888) 809-2750 
@joshmarks linkedin.com/in/joshuabmarks 
In partnership with

Airline and Airport Big Data: Impact and Efficiencies

  • 1.
    How Big DataChanges Aviation Efficiency Routes 2014 Presentation Joshua Marks, CEO
  • 2.
    ROUTES CHICAGO 2014 Airlines and airports generate tremendous amounts of data Legacy technology limits what we can log, merge and use Big Data unlocks the value of ambient data The cloud and “Big Data” tools transform how we collect, merge and analyze data, opening new frontiers of capability • Material change in operations and commercial capability • Highly disruptive to global aviation – winners and losers • Changes the industry’s profit horizon and long-term www.masflight.com Slide 2 Efficiency and optimization
  • 3.
    ROUTES CHICAGO 2014 Lots of useful information Bookings & Transactions Loyalty Programs Seats sold Prices paid Elasticity Route demand Points of sale Ancillaries Customer name Demographics Location Travel history Preferences Offline activities Airport Operations Flight Operations Facilities used Time on gate Checked bags Carry on bags Above-wing Below-wing Flight plan Fuel loaded Weight/balance Taxi times Flight path Resources used Supporting Information – Weather, Fleet, Revenue, Social Media, Etc. www.masflight.com Slide 3
  • 4.
    ROUTES CHICAGO 2014 What’s the problem? Critical info is trapped in silos, crippling big data Needs structure, standardization and validation to be useful www.masflight.com Slide 4
  • 5.
    ROUTES CHICAGO 2014 Unified platforms are essential Blended Data Sets Single Data Slice Retrospective Predictive MySQL Oracle Excel Access Core Value for Aviation Today’s Modeling Tools • There are great visualization tools to improve planning and analysis, but what data do you feed them? • How do you ensure the integrity and reliability of data collected if you fully automate analytics? • How can you access large enough volumes of historical data to gamble on predictive analytics? www.masflight.com Slide 5
  • 6.
    ROUTES CHICAGO 2014 Big data feedback loop Cloud infrastructure Virtualized, on-demand resources with infinitely extensible processing, bandwidth and storage DRIVING EFFICIENCY GAINS Data pooling & query platforms Connect data & create structure by merging, conditioning streams and archived data Predictive analytics Automated analytics integrated into workflow that unlock data value and improve profitability Business intelligence Data mining and visualization software that reveals trends and useful information www.masflight.com Slide 6
  • 7.
    ROUTES CHICAGO 2014 Changing attitudes Limited by usable data and computational power Use past transactions and isolated data slices to guess what the future looks like Today Tomorrow Robust data foundation with computational power Real-time analytics observe and compare to historical trends automating/improving decisions Commercial example: Real-time demand monitoring Current systems: Past transactions reflect when supply matched demand, but don’t track abandoned purchases New approach: Track search and profile info on public websites to identify both completed transactions and abandoning users www.masflight.com Slide 7
  • 8.
    ROUTES CHICAGO 2014 Airports: comparative metrics Big Data illustrates each airport’s operational, commercial advantages • Demographics – wealth, demand, drive times from local communities • Commercial – flight connectivity, checkpoint crowds & vendor traffic • Operations – delays and congestion • Gates – availability and utilization Unlock differentiators that attract airlines, customers on multiple axes AVERAGE TAXI-OUT TIME (MINUTES) BWI CLT DCA EWR IAD PHL American 16.8 19.2 16.4 23.2 16.6 19.6 Delta 19.3 23.1 19.4 21.8 18.5 20.8 United 14.4 19.3 17.3 22.1 17.2 18.3 US Airways 17.1 19.4 22.1 19.6 19.7 19.4 Southwest 14.0 15.7 20.1 12.4 15.2 Major U.S. Airline: Daily Departures per Gate 10.3 9.5 8.5 8.5 8.4 8.3 7.9 7.5 7.5 7.2 BWI LAS OAK DEN DAL LAX MCO HOU MDW PHX www.masflight.com Slide 8
  • 9.
    ROUTES CHICAGO 2014 Airports: operational variability East International (Even gates 90-100) 21.3 min taxi-out West International (Odd gates 91-99) 23.5 min taxi-out Outer Domestic Pier (Gates 76-77 and 80, 82, 84, 88) 18.6 min taxi-out East Base Domestic (Gates 68-71) 18.1 min taxi-out Inner Domestic Pier (Gates 81, 83, 85, 87, 89) 20.7 min taxi-out masFlight Data - All UA SFO Operations West Base Domestic (Gates 72-75) 21.0 min taxi-out www.masflight.com Slide 9
  • 10.
    ROUTES CHICAGO 2014 The data flood is coming Infinite storage Inexpensive cloud options, no bandwidth restrictions and an ecosystem of apps Freedom from legacy IT constraints – collect as much data as you can Mobile engagement Pervasive, connected, and location-aware through GPS, WiFi and Beacons Personalized interaction employees & customers and profile data too Connected aircraft Real-time connectivity and tracking – commercial and operational implications High fidelity visibility into aircraft health, location and customers on board Future applications will require robust histories & perspectives Imperative to invest in data platforms that create the foundation www.masflight.com Slide 10
  • 11.
    Conclusions • Wealready live in a sea of data – collect it and leverage it ROUTES CHICAGO 2014 – Commercial, operational, and social sources – 3 billion passengers, 35 million flights, trillions of data points annually – Critical to store every aspect of customer interaction • Applications are moving to the cloud – they need data – Full transition in coming years to cloud-based apps and data sets – IT systems must be open architecture with easy data input/output – Link and pool data to create valuable structured information • Prioritize data collection as foundation for future efficiency gains www.masflight.com Slide 11
  • 12.
    ROUTES CHICAGO 2014 www.masflight.com 4833 Rugby Avenue, Suite 301, Bethesda, MD 20814 www.masflight.com ™ +1 (888) 809-2750 @joshmarks linkedin.com/in/joshuabmarks In partnership with