Cloud-based data warehousing to power aviation analytics

Transcription

1 Cloud-based data warehousing to power aviation analytics Big Data Workshop Transportation Research Board Annual Meeting January 12, 2014 Dr. Tulinda Larsen Vice President

2 Cloud Computing The cloud consists of terrestrial servers across the Internet that collectively store, manage and process data Figurative Cloud The term comes from the common use of a cloud-shaped symbol as an abstraction for the Internet -- application to virtual servers is as recent as 2006 Cloud computing is the use of resources (hardware and software) that are delivered as a service over the Internet or other network Content Object Storage Computation Monitoring Network Application Platform Infrastructure Storage Identity Databases Content Financial Metrics Communication Collaboration Cloud Computing Architecture

3 Monetization Core Benefits of Cloud Computing Rented Infrastructure and External Support Lower upkeep and HR requirements Focus on apps and data discovery Unlimited Scalability of Data and CPUs Reduce engineering & maintenance cost Reduce fixed costs, lower project risk Geographic Redundancy Higher security, fault tolerance Increased agility and performance Tools and libraries already developed Fast implementation of both apps and data Embed cloud apps into internal workflow Eliminates Obsolesence Keep pace with the latest innovations Use best-of-class resources to grow

4 Airlines are implementing BI tools to visualize data but the industry s IT infrastructure doesn t play nicely What Aviation Has: Legacy data servers, focused tools, limited interfaces What Aviation Wants: Single-stop integrated data sets & powerful BI systems Traditional Data Centers How to bridge? Build vs. buy Cloud or traditional AIRCRAFT DATA WEATHER DATA AIRPORT DATA TICKET DATA Scalability Security Interfaces Flexibility In-house skills? Single-Source Repository of Data Optimized & Linked Information Managed platform Real-time updates Flexible delivery Confidential Information

5 masflight uses the cloud to merge external data We help airlines use the cloud to feed modern systems Airline Systems Existing Connections to Public & Vendors DIRECT FEEDS Our technology auto-updates terabytes of data continuously The cloud saves us thousands of man-hours yearly in engineering and development time Public Data Sets Fleet Schedules Operations Fares Private Data Sets Weather Radar Airport Ops Satellite A U T O M A T I O N A U T O M A T I O N Cloud-Based Data Tables Real-time feeds Validated info Usable data formats Lots of processors Lots of storage Lots of power Quantitative Analytics Business Intelligence

6 Identifying Airline Operating Efficiency Gains Planned Flight Schedules Actual Flight Operations Real Time Weather Use Cases To improve schedules, utilization, fuel burn and staffing, airlines need integrated performance and contextual data. + + = 360 View of Delays & Flight Operations Airlines Airports Passengers masflight links flight schedule, status, radar, weather and delay data in the cloud to show what happened and why. Schedule design Hub connectivity Airport operations Post-ops review Delay Planning Benchmarking

7 Big data analytics is revolutionizing aviation operations management Tapping legacy platforms Integrating third party sources Managing real-time streams Implementing big data analytics Applying BI & visualization Better information helps airlines optimize operations Reducing flight delays and cancellations Minimizing fuel burn Improving asset utilization Increasing revenue

8 Final Thoughts Cloud based data warehousing is a cost effective technology solution for both research and management Impact Lower up-front cost, greater scalability, latest technology Cloud-based analytics fundamentally change how airlines identify/reduce variability, improve predictability and increase operating margins Access to large scale data sets never before possible Cloud-based systems have saved millions of dollars in IT investments and engineering resources Allowing focus on solutions development and analytics

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