How is Big Data Analytics Shaping the Airline Industry?

The applications of Big Data Analytics havecrossed boundaries and entered every sector including the Aviation industry.With the ever-growing amount of data, Big Data prediction modelsare used to determine opportunities in this industry. Here is a brief article on howbusiness intelligence companiesplay a prominent role in the Airline industry.

1)Boosting theRevenue

Data mining methodologieshelp the airline companiesto knowthe customer preferences in booking a ticket.Itenables them to approach customers with personalized offers to increase the chances of booking the ticket.The machine learning and predictive analysis techniques let them optimize the ticket prices in real-time.And,gathering meaningful data means more bookings and higher revenue.Data analytics helps the airline companies to operate at the perfect cost-to-profit ratios.

2)Smart Maintenance

The airport traffic is increasing every day, and airport authorities are looking for new ways to handle the traffic.The airline authoritiesuseBig Data technologies tomaintain air traffic better. Theyanalyzeparameters such as runway bandwidth,aircraft types, andflight routes,to identify theair trafficpatterns. Further, thisoptimizesthe use of airspace.

3)Cost Reduction

Dataanalytics servicesare used byairline organizations to reduce costs in multiple ways.Every yearaviation enterprises face several lost baggage cases. And, they need to repay the customers.The companies avoid losing bags by using real-time baggage tracking data.Also, they analyze the real-time fuelconsumptiondata tostrategize an efficient fuel usage and avoid unnecessary investments.

4)Digital Transformation

Big Data is transformingthe commercial aviation sector by digitizing thecomplete experience. It helps to deliver high standardpassengerservicesand connected travel experience.The digitization enables the aviation players to fulfill the customer requirements in every possible waythrough real-time dashboards.

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