Airline and Airport Big Data: Impact and Efficiencies
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The document discusses how big data can significantly enhance aviation efficiency by enabling better data collection, merging, and analysis. It emphasizes the need for structured and standardized data to unlock insights from various operational metrics, ultimately improving profitability and decision-making in the aviation sector. The presentation highlights the necessity for cloud-based platforms that facilitate data integration and the importance of investing in data infrastructure for future gains.
Airline and Airport Big Data: Impact and Efficiencies
- 1. How Big Data Changes 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 • 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
- 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