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Keynote Presentation 
How big data changes aviation efficiency 
Josh Marks 
Chief Executive Officer 
masFlight
Efficiency and optimization 
Airlines and airports generate tremendous amounts of data 
Legacy technology limits what we c...
Operations 
Flight plan 
Fuel loaded 
Weight/balance 
Taxi times 
Flight path 
Resources used 
Slide 3 
Lots of useful inf...
Slide 4 
What’s the problem? 
Critical info is trapped in silos, crippling big data 
Needs structure, standardization and ...
Slide 5 
Unified platforms are essential 
Blended 
Data 
Sets 
Single 
Data 
Slice 
Retrospective Predictive 
MySQL 
Oracl...
Slide 6 
Big data feedback loop 
Cloud infrastructure 
Virtualized, on-demand 
resources with infinitely 
extensible proce...
Slide 7 
Changing attitudes 
Limited by usable data 
and computational power 
Use past transactions and 
isolated data sli...
Airports: comparative metrics 
Major U.S. Airline: Daily Departures per Gate 
Slide 8 
Big Data illustrates each airport’s...
Airports: operational variability 
Outer Domestic Pier 
(Gates 76-77 and 80, 82, 84, 88) 
18.6 min taxi-out 
Slide 9 
East...
Connected aircraft 
Real-time connectivity and 
tracking – commercial and 
operational implications 
High fidelity visibil...
Slide 11 
Conclusions 
• We already live in a sea of data – collect it and leverage it 
– Commercial, operational, and soc...
4833 Rugby Avenue, Suite 301, Bethesda, MD 20814 
www.masflight.com  +1 (888) 809-2750 
@joshmarks linkedin.com/in/joshua...
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Keynote Presentation – How Big Date Changes Aviation Efficiency (Josh Marks, CEO, masFlight)

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Big data is a hot topic across all industries, Josh Marks, CEO, masFlight talks to the decision makers of the air service development community at World Routes 2014 about how large corporations can work agilely and harness the power of data.

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Keynote Presentation – How Big Date Changes Aviation Efficiency (Josh Marks, CEO, masFlight)

  1. 1. Keynote Presentation How big data changes aviation efficiency Josh Marks Chief Executive Officer masFlight
  2. 2. Efficiency and optimization 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 Slide 2
  3. 3. Operations Flight plan Fuel loaded Weight/balance Taxi times Flight path Resources used Slide 3 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 Facilities used Time on gate Checked bags Carry on bags Above-wing Below-wing Supporting Information – Weather, Fleet, Revenue, Social Media, Etc.
  4. 4. Slide 4 What’s the problem? Critical info is trapped in silos, crippling big data Needs structure, standardization and validation to be useful
  5. 5. Slide 5 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?
  6. 6. Slide 6 Big data feedback loop Cloud infrastructure Virtualized, on-demand resources with infinitely extensible processing, bandwidth and storage 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 DRIVING EFFICIENCY GAINS
  7. 7. Slide 7 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
  8. 8. Airports: comparative metrics Major U.S. Airline: Daily Departures per Gate Slide 8 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) BW I CLT DC A EW R IAD PH L 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 Southwes t 14.0 15.7 20.1 12.4 15.2 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
  9. 9. Airports: operational variability Outer Domestic Pier (Gates 76-77 and 80, 82, 84, 88) 18.6 min taxi-out Slide 9 East International (Even gates 90-100) 21.3 min taxi-out West International (Odd gates 91-99) 23.5 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
  10. 10. Connected aircraft Real-time connectivity and tracking – commercial and operational implications High fidelity visibility into aircraft health, location and customers on board Slide 10 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 Future applications will require robust histories & perspectives Imperative to invest in data platforms that create the foundation
  11. 11. Slide 11 Conclusions • We already live in a sea of data – collect it and leverage it – 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
  12. 12. 4833 Rugby Avenue, Suite 301, Bethesda, MD 20814 www.masflight.com  +1 (888) 809-2750 @joshmarks linkedin.com/in/joshuabmarks In partnership with

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