Applications of Data science in the airline industry

●      What is meant by data science?

Data science is referred to as the study of data through various analytical methods such as data mining, algorithms and machine learning. It is often referred to as gaining useful insights from structured and unstructured data. It includes theories derived from various fields such as mathematics, computer science, information technology etc.

●       Data science in the airline industry

Data science has played an important role in the airline industry as well. It has made the airline process much easier than before. Its indulgence in the airline industry has quickly changed a lot of things, whether it’s booking or cancellation of tickets, aircraft maintenance, upgrades and customer service, or reductions in costs and automatic processes.

●      Use of data science in planning airline routes

 Data science has provided many benefits in the fields of airline route planning. Here are some benefits:

1. Smart maintenance-

Data science has helped the airline services in a smarter way to manage their services with the customers or the officials. Issues regarded baggage checking, conveyor belts, etc. are handled by checking the previously analyzed data. Increasing airport traffic, optimizing the airline for craft services, measuring the runway bandwidth and different types of aircraft are often handled through data science.

2. Airline safety-

The previously analyzed data is often scrutinized and analyzed to improve airline safety procedures. Data analytics identifies the major risks and issues related to passengers’ safety.

3. Messaging automation-

This kind of service is being required by every field to respond to the queries of customers related to their travel journey. If a customer loses his luggage at the airport, and he is not getting any response from the airline authorities about his luggage missing during check out, it will turn into a loss of further customers for the airline industry.

4. Cost reduction-

With the introduction of a real-time baggage tracking system, it has reduced many costs. The previously collected and analyzed data has saved the luggage from being lost, delayed or damaged. It has helped the airline route planning by improving its efficiency and measuring the amount of fuel needed for aircraft through data analysis.

5. Increase in airline revenue-

Airline data analysis helps the industry to present offers to the customers according to their preferences. The text mining techniques help the industry to understand the sentiments of customers and maintain their issues. By gathering a lot of meaningful insights through data science and evaluation, it can fetch numerous amounts of money by providing satisfactory service to the customers. Furthermore, data science has provided a lot of help to the airline industry through various techniques and methodologies.

Resource box-

ExcelR provides data science courses which offer the best training courses for understanding data science techniques in a better way. They are even offering top-notch faculties associated with IIM, IIT and Ph.D. specialists to ensure their classes. For more information refer to this link -