Business intelligence and airline operational improvement
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Business intelligence and airline operational improvement

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From SITA IT Conference in Brussels, 19 June 2013. I review how big data analytics can fundamentally improve visibility into operational challenges and change cross-departmental goals. I give......

From SITA IT Conference in Brussels, 19 June 2013. I review how big data analytics can fundamentally improve visibility into operational challenges and change cross-departmental goals. I give specific examples of how business intelligence can change both operational performance and efficiency.

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  • 1. SITA IT Summit 2013Operational visibility through deep analyticsHow big data methods improve aviation profitabilityJoshua Marks, CEO+1 703 994 0000 Mobile  josh@masflight.comW W W . M A S F L I G H T . C O M
  • 2. SITA 2013 IT SummitBig data methods unlock new profitability gains$13.5$22.6$32.5$36.1$40.12009 2010 2011 2012 2013eUnbundling Revenue(USD Billions)Global aviation profitability hasdepended on ancillary revenue.But those gains are slowing.Aviation must use productivity tosustain growth – and invest in ITplatforms that merge and link dataSource: Amadeus/IdeaWorks
  • 3. SITA 2013 IT SummitToday: Critical data trapped in IT silos, crippling big dataFlight Scheduleand Fleet DataRevenue andPassengersAirport andOperationsFinance &AccountingDifferent Vendors & Silos Different Users Manual IntegrationRevenueFlt OpsIT/WebFinanceFEEDCollect Data, Merge TablesBuild DatabasesObtain data from the webor internal PCs,integrate by handFEEDFEEDFEED
  • 4. SITA 2013 IT SummitOperational visibility through deep analyticsValidated information and task-specific applicationsare critical for aviation planning and management.ForecastingPartner analysisPost-ops reviewBenchmarkingSchedule designHub connectivityMaintenance planningAirport operations
  • 5. SITA 2013 IT SummitFoundation of Big Data: Integrated, Managed InformationScheduleSourcesFLIFOSourcesWeatherSourcesRadar &Flt PlanAirport &Gate InfoFleet &Tail InfoOtherSourcesFLEETAIRLINESYSTEMFLIGHTFILED & FINAL SCHEDULESGATES AND AIRPORT INFOTAIL NUMBER & FLEET INFOGATE DEPARTURE & TAKEOFFLANDING & GATE ARRIVALORIGIN & DEST WEATHERFLIGHT PLAN FILED & FLOWNENROUTE WEATHERMARKETING CARRIER OPERATING CARRIERR E A L T I M E D A T A S O U R C E SC L O U D D A T A W A R E H O U S E
  • 6. SITA 2013 IT SummitExample: Improving Schedule AccuracyBlock planning is anart based on review of:Taxi and flight historyOne-time factorsBig data enables a morescientific approach with:Departure and arrival gatesIntra-seasonal weatherTail number differences0501001502002505152535455565758595105115125135145155165175185195205215225235CountofFlightsMinutes After Gate DepartureGate OutLanding TimeGate InModalTaxi Out23 minModalGate Arrival2h 28mDelta: All 2012 New York LGA to AtlantaDistribution of Taxi and Flight Times
  • 7. SITA 2013 IT SummitExample: Identifying Airport Operational ImprovementsWest International(Odd gates 91-99)23.5 min taxi-outEast International(Even gates 90-100)21.3 min taxi-outEast Base Domestic(Gates 68-71)18.1 min taxi-outOuter Domestic Pier(Gates 76-77 and 80, 82, 84, 88)18.6 min taxi-outInner Domestic Pier(Gates 81, 83, 85, 87, 89)20.7 min taxi-outData from 2012 All UA SFO OperationsWest Base Domestic(Gates 72-75)21.0 min taxi-out
  • 8. SITA 2013 IT SummitExample: Operational Disruption for High-Yield PassengersDelta Air Lines 2012New York to Los Angeles13%11%10%8% 8%9%ATL DTW MSPMisconnect % Pax > $50015%8% 8% 8%7% 6%15%18%DTW MSP ATL SLCMisconnect % Pax > $50014%12% 12%9%14%7%11% 11%ATL MSP SLC DTWMisconnect % Pax > $500Blue:Flights A+30and CancelledRed:% of NY-LAO&D > $500Compare connectpoints and O&DtrafficFrom JFK via: From LGA via: From EWR via:
  • 9. SITA 2013 IT SummitCloud + Big Data: Visibility without legacy constraintsManagementLinked dataFull archivesPowerful retrievalAggregationAUTOMATED DATACOLLECTION & LINKINGVisibilityLower IT investment, more flexibility and new insightSCALABLE STORAGEARCHITECTUREFEED ANALYTICS ANDDASHBOARD SYSTEMSMulti-source feedsAuto correctionLinked tablesOps & RevenueReal-time monitorPredictive Analytics
  • 10. • Profitability depends on finding newefficiencies in operations and revenue• Linked, cloud-hosted data combines lowacquisition cost with flexibility and power• Big data analytics fundamentally changeshow planning can reduce variability• Dashboard and monitoring systems alsochange day-of and predictive managementInvestmentCase & ROIOrganizationalInsight & ValueSITA 2013 IT SummitConclusions for Cloud-Based Big Data
  • 11. SITA 2013 IT SummitFor more information• Demonstrations• Data samples• Trial accounts• White papers• ResearchGet it free at masflight.com:Daily Email Reports and Monthly AnalysisDaily OperationsEmail ReportMonthly Reports& Researchwww.masflight.com+1 888 809-2750