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The opportunity of Big Data in Aerospace
- Aerospace companies have to visualize Big Data so that they can graphically illustrate layers of high-volume information about energy status, distribution and its supply through different channels.
- Aerospace companies require scalable algorithms for processing and in turn, visualization of incomplete data.
- The industry requires human-computer interaction tools that can be custom-built for different missions, and open-source tool kits for collaborating different concepts from applied mathematics, computer science, and the latest data visualization methodologies.
- Aerospace storage systems are Flash memory-based because of the speed compared to spinning hard drives, including compression and encryption techniques for better storage density and data protection. The companies are, therefore, using data reduction techniques so that the bandwidth is low enough for quick transmission over varied communication channels.
- Analysis of all data including maintenance schedules and volatile weather patterns
- Collection of big data from the entire schedule from airport services to aircraft take-off to the landing
- Analysis of algorithms that support data patterns for a safer travel experience the idea of using data as a marketable service has grown owing to the new service-oriented business models. Data which includes the monitoring of each major aircraft including engines, avionics, and the like, can be fed into efficient predictive maintenance models for predicting the deployment process, and the maintenance of the product, and to attend its presumptive failures. Fuel monitoring and its analysis will help the engineers to make better fuelling decisions at any place. Other data would help in assessing the different flying conditions and its effect on engine performance, which will, in turn, decide repair priorities. The insights will be valuable to airline operators and even drive multiple benefits.
- The insight-driven organization can deliver better value on its services, and even better prepared in extending equipment life, reduction in replacements and realization of cost efficiencies.
- Fast-movers on this big data opportunity will have access to their own assets at all points of time, differentiating themselves from competitors thus avoiding the traditional duopoly of the OEM market.
- The insights present direct value to operators, leading to new revenue streams on a perpetual basis.