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Data analysis five ways to change the aviation industry

Release time:Aug 22, 2019 Visits:

Machine learning and analysis have touched almost all areas of the world, including the aviation industry. As data grows, applying analytics to the aviation industry will be an important wave in the next round. Today, big data analytics and forecasting models are being used to increase opportunities in the aviation industry. This article will list the five major ways in which the industry's application data analysis.

  1.Increase airline revenue

  Analysis and text mining techniques help the aviation industry understand customer sentiment and other operational issues. The analysis of ticket bookings can help the airline industry reach out to target customers with personalized offers, while using predictive analytics to optimize prices in real time. By collecting meaningful data, the airline industry can get more bookings at a given time. Artificial intelligence and analytics through targeted sales will enable the airline industry to achieve optimal cost-to-profit operations.

  2.Intelligent operation

  Baggage will no longer be a burden on passengers and they can travel with ease. RFID technology can help avoid mishandling of luggage. Predictive analysis helps improve the predictability of fleet reliability. Airport traffic continues to grow, so it will become a threat to the aviation industry. But with the help of analysis and big data, runway bandwidth, routes, models and other parameters can be used to identify patterns and compare them. The aviation industry is working to optimize airspace use.

  3.cut costs

The application of analytical techniques in the aviation industry will help to reduce costs in many ways. For example, a large amount of baggage is lost every year, and the aviation industry should compensate for this. Therefore, airlines rely on real-time baggage tracking to help avoid baggage loss and damage. And delays. Collecting and analyzing fuel real-time consumption data enables efficient fuel utilization and reduces unnecessary fuel investment costs.

  4.customer satisfaction

  For any organization, improving customer satisfaction is one of the main motivations. Analytics and other emerging technologies have already played a role in helping organizations achieve such motivations. Through the application of emerging technologies, the aviation industry is trying hard to try various ways. With the help of predictive analysis, sentiment analysis and other technologies, the aviation industry can provide real-time information to customers, promote products according to their choices and experiences, and meet their needs according to their habits.

  5.Digital transformation

  Big data and analytics are transforming and digitizing the commercial aviation industry to provide high standards of service to passengers. Emerging technologies help the aviation industry meet customer needs in a variety of possible ways (such as real-time performance dashboards, predictive maintenance, etc.) to take the aviation industry to new heights.

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