Various industries are utilizing big data to increase and improve operational efficiency. The most recent industry to embrace the use of big data is the airline industry. According to research and analytics, sensors of a single commercial aircraft are capable of generating close to twenty terabytes of data every hour. Some of the ways big data improves operational efficiency for the airline industry include:
Typically when an aircraft stops for scheduled maintenance, it makes no profits. Big data make it possible for planes to determine their support programs and give supply chain a heads up to ensure repair parts arrive on time to save up on time and resources. This ensures the aircraft gets maintenance only when needed, hence maximized profits. By switching from scheduled maintenance to predictive system maintenance, the airline industry saves on:
- Unnecessary service and parts procured
- Personnel time in handling contractors and presiding over repairs
Taking over day-to-day activities
Big data can also be integrated into day-to-day activities from reducing fuel costs, maximizing usage to creating better crew schedules. When it comes to fuel consumption, more than 40% of costs of an aircraft go to fuel. Data analytics reduces fuel costs significantly by fine tuning jet engines to minimize fuel usage.
Integration of data analytics in the IT department improves efficiency in the sense that operations move smoothly, leading to fewer cases of missing bags, delays, and overall costs.
The features mentioned above are the most important for the airline industry. Streamlining the two areas increases customer’s satisfaction and maximizes the profit.