How can data analytics uplift the aviation industry?
Isn’t having a personalised experience throughout your flight ranging from the cuisine you consume to your favourite seat considered a cheery on top for all your travels?. Airlines are now stepping stones towards all of this that would make your vacations unforgettable. And big data analytics alone is the only thing that is enabling this change in the aviation sector.
Airlines always want their customers to have unique experiences. The preferences of their passengers are prioritised at all times, and everything is scheduled accordingly. But data is the key to giving you an advantage over all of this. Much can be accomplished by examining the traveler’s data, decisions, and preferences.
This is when data analytics becomes useful. Numerous organisations are already involved in this and have developed solutions that may be of great assistance.
Data Management and Data Analytics
While data management is a significant issue that needs to be addressed, it won’t be an issue in the future. To enhance and customise the travel experience for travellers, a global event called Passenger Technology Solutions has been introduced.
Many organisations, such as Black Swan Data, use social media trends and all of the passenger data to determine which food items should be offered on the menu. This is beneficial in two ways: decreased food waste and increased output.
Airlines are assisted by another organisation called FoxTripper in identifying the most desirable locations for a passenger to spend his vacation. It makes use of moving map software to collect data about locations that an individual enjoys visiting. The ideal locations and activities for a vacation may now be predicted thanks to the collection of all this data.
Predictive Maintenance
Through the use of Big Data, IoT, and predictive analytics, data analytics helps the aviation industry reduce expenses and expand income sources. Airlines use data analysis to predict maintenance needs for aircraft parts before they break down, which lowers unexpected maintenance expenses and the delays that go along with them.
Furthermore, predictive data analytics tracks fuel usage, engine temperature, and flying patterns to spot trends and offer repair requirements insights.
Data Privacy and Data Analytics
Everything seems fine up until the point about data privacy. However, this has also been resolved. Airlines will classify passengers into different groups rather than attempting to obtain personal information about each individual. This is, without a doubt, the most effective approach to completing the tasks correctly.
Employ clever data gathering techniques, similar to those used by several airlines, to examine specific aspects of the passenger’s past purchases or offers that they have checked into. Over time, this has enabled them to raise their revenue by a specific proportion.
These airlines target a number of other factors in addition to the client experience. Network strategy, pricing, and marketing are also handled. Working on it over time will eventually result in increased bookings thanks to the collection of useful data.
For instance, you might quickly turn a consumer into a profitable passenger on board by getting to know their travel preferences and presenting them with specific offers. This may be among the greatest strategies to attract new clients and boost sales.
In Flight Food Supply Estimation
It is now essential for the airline sector to use big data tools for analytics, especially when it comes to in-flight sales and food supply estimation. Through data analysis, airlines are able to predict passenger demand and make well-informed decisions about food options, which ultimately helps to optimise inventory and reduce waste.
For example, using past sales data to determine which food and beverage items are most likely to sell on a given route at a given time of day is made possible by aviation analytics. By using this information, they can arrange their inventory more effectively and guarantee that the most popular items are always in stock. In a similar vein, airlines can minimise food shortages and waste by anticipating the food requirements for new routes through the analysis of data from similar routes.
Moreover, real-time information from in-flight entertainment systems can assist airlines in monitoring customer preferences and adjusting their entertainment and food selections accordingly.
Conclusion
Professionals in the airline industry need to leverage data analytics for internal operations and marketing in order to stay ahead of the competition. Airlines that invest in data analytics can achieve new heights in customer service, increase income streams, and operate more efficiently by streamlining their processes.
In conclusion, this race has only begun. There are still obstacles to overcome, a tonne of data to manage, and significant work to be done in terms of analysis and pattern recognition before this model achieves true success.
