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Aviation-driven Data Value Chain for Diversified Global and Local Operations

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ICARUS Data Analytics & Visualization Challenges

June 4, 2021July 25, 2021

In our increasingly digitalized world, data analytics are crucial to improve decision making, increase accountability, help enterprises predict new opportunities […]

Blog, perspectives bda, big data, data visualisation, data visualization, icarus data analytics

Aviation Data Analytics Perspectives in ICARUS

December 30, 2019January 14, 2021

In general, Data analytics is an arbitrary collection of computational methods and algorithms used to examine data sets and harvest […]

Blog, perspectives aviation analytics state of the art, data analytics, data preparation, data visualization, ICARUS data analytics algorithms

Recent Posts

  • ICARUS Experience and Benefits for ISI
  • ICARUS Experience and Benefits for AIA
  • Market Opportunities and Positioning for the ICARUS Platform
  • Lessons Learnt and Adoption Guidelines based on the ICARUS Platform’s Experiences
  • Aviation’s Data Revolution: Flexing and Bending in A Pandemic

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About

ICARUS aims to deliver a novel framework and architecture that leverages data, primary or secondarily related to the aviation industry, to help companies and organisations whose operations are directly or indirectly linked to aviation (e.g. airports, airlines, IT aviation companies, aircraft equipment industries, extra-aviation service providers, tourist agencies, health and epidemics monitoring agencies, etc.) to simultaneously enhance their data reach, as well as to share / trade their existing data sources and intelligence, in order to gain better insights into airplanes’, airports’ and passengers’ quantified selves and contribute to improving their operations and increasing passengers’ safety and satisfaction.

Contact us

management@icarus2020.aero
Project Coordinator: Dr. Dimitris Alexandrou (UBITECH)
Technical Coordinator: Dr. Fenareti Lampathaki (Suite5)

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EU flag The ICARUS project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 780792.

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