Analytics On Big Aviation Data

Analytics On Big Aviation Data

abstract:

Recent days the aviation industry adopts on Condition/Preventive maintenance procedures due to its operational efficiency and it depends upon the failure mode calculations made after testing a part under circumstances. These conditions may  fluctuate depending on the external factors/human errors which may result in the  variation in the life time of components in turn reducing the operational efficiency of the aircrafts.

Problems:

The aviation industry encompasses a huge amount of data, and many airlines and airports cannot manage and process the amount of data they receive, but such data could be used to revolutionise the passenger experience. The vast amount  of data produced related to passenger flow, cost reduction and revenue enhancement is  too much to handle for most small airline IT departments. Data-driven marketing can provide insights from data in real-time so there can be consistent understanding of passenger behaviours.

Problems solving:

From recent Accenture study, big data analytics has become the highest priority for

aviation (61%), wind (45%) & manufacturing (42%) companies. The following graphic provides insights into the relative level of importance of big data analytics relative to  other priorities in the enterprises interviewed in the study:

With 35 million flight departures per year, data is critically important for any planning decision made by airlines and airports. In an example used by Josh Marks, the aviation industry needs to begin documenting and utilising data in a way similar to the online retailer, Amazon.
Amazon manufactures product suggestions based on its customer’s previous activity. They collate data about customer’s previous purchases, as well as previously viewed items, and even mouse movement on the webpage. These predictive analytics allow them to target customer’s needs effectively and with profitability.

This sort of data collection could effectively be utilised in the aviation industry, particularly with airline websites with regards to booking and transactional data sets. There are $140 million worth of ticket transactions made through airline ticketing websites- and this figure is not inclusive of booking sites such as Expedia. The current ‘look to book’ ratio stands at approximately 10:1, signifying that customers will view approximately ten booking websites before making a final decision.

conclusion:

With the advent of the big data era, dealing with large amounts of data is challenging.  Big data can help operations for airline companies and airports to reduce redundant variability. The airlines of the future will be defined by the ability to obtain & process the enormous amount of customer data to gain insight at a speed surpassing the pace at which customer behavior and business environment might change. Using the data furnished, airlines can offer a personalized incentive for every type of customer resulting in more auxiliary sales, greater percentages of repeat business, and better customer allegiance. Further it can help the relationship between airports and airline companies in the operational sense, and help build knowledge about demographics.