How Airlines are Flying High on Big Data Analytics

by April 26, 2018 1 comment

How about getting everything personalized on your flight? Like the food you eat to the seat you prefer or the dates you generally travel. Imagine how wonderful this journey would be! From the dates you usually prefer to travel to the destinations that would make your holidays memorable, airlines are now stepping stones towards all this. And you know how? Nothing other than big data analytics is helping.

Airlines always want their passengers to experience things like never before. They always put their passenger’s preferences at the top and then accordingly schedule everything. But to bring an edge over all of this, data is the key. By analyzing traveler’s data, his choices and his preferences a lot can be done. This is where the role of data analytics kicks in. Several organizations are already into this and have created solutions which could really help.

Although data management is a major issue to be dealt with, as time ascends this won’t be a problem either. All across the world an event dedicated to passengers named: Passenger Technology Solutions has been launched just to improvise & personalize the passenger journey. There are a lot of organizations including Black Swan Data which combines the entire passenger data with the social media trends to decide which food items should be present on the menu. This has helped in two ways: Reduced food wastage and improved the productivity.

Another organization named FoxTripper is helping airlines get the best places a passenger would like to spend his holiday in. It uses a moving map software which helps to gather information about places a person loves to be in. By collecting all such data, it is now helping to predict best places and activities for a destination.

Everything sounds good until the data privacy comes in. But this too has been taken care of. Airlines won’t directly aim to get individual passenger details; rather they would categorize passengers into various categories. This is by far the best suitable way to get the things done in a right way. Like certain airlines, use smart data collection activities that would analyze certain factors about the previous purchases made or offers that the passenger checked into. This has helped them increase their revenue by a certain percentage over the years.

Apart from customer experience, there are certainly other factors as well which these airlines target. Marketing, pricing and network strategies are also taken care of. By collecting meaningful data, working on it can eventually get you more bookings over a time span. For example, if you get to know a customer’s travel trend, you could present him/her with special offers and easily convert them into fruitful passengers onboard. This could be one of the best ways to get more customers on board and get your revenues high.

Pricing and network strategies can preferably get your revenues a spike soon. Not only analyzing a customer’s travel trend but digging a deep cut can get you some extraordinary patterns. For instance, during summers, there are more customers who travel from one place to another. Hence you can end up adjusting the prices according to the demand. This surely will give you a rise if utilized efficiently and timely.

Drawing the end to this, there are still hurdles to cross, lots of data still to look after and high efforts to analyze and draw patterns until this model gets really successful. But this race has kick-started and not far are those days where getting your favorite window seat would become easy. From real-time baggage check to IoT technologies helping customers get their boarding process easy, everything will be just based on previous insights. Big data analytics has kicked in new levels to leverage your experience for any trip. So go on and enjoy what this tech world has to offer in.

1 Comment so far

Jump into a conversation
  1. CyberH
    #1 CyberH 27 April, 2018, 01:12

    Princy,
    what a very effective use for big data in the airline industry! Many uses of big data have a measurable positive impact on outcomes and productivity. Areas such as record linkage, graph analytics deep learning and machine learning have demonstrated being critical to help in the examples you mention as well as to fight crime, reduce fraud, waste and abuse in the tax and healthcare systems, combat identity theft and fraud, and many other aspects that help society as a whole. It is worth mentioning the HPCC Systems open source offering which provides a single platform that is easy to install, manage and code. The built-in analytics libraries for Machine Learning make it easy for users to analyze Big Data. The free online introductory courses allow for students, academia and other developers to quickly get started. For more info visit: hpccsystems.com

    Reply this comment

Your data will be safe!Your e-mail address will not be published. Also other data will not be shared with third person.