There are a variety of advanced tools that the aviation industry uses to optimize its business functions and operations.
One such solution is big data technology which plays a crucial role in transforming the ways of working in the airline sector.
Thanks to its predictions and analyses, aviation companies can now make more informed decisions for better productivity.
In this article, we have mentioned different types of big data analytics along with their importance.
So, if you are new to the topic, dive into the blog to understand what big data is and how it affects the aviation industry.
What Is Big Data Technology in Aviation?
Big data is a combination of structured, semi-structured, and unstructured data collected by organizations that can be mined and used for information to play an important role in machine learning projects, forecasts and predictions, and other advanced analytics.
A huge amount of information cannot be processed using traditional data systems.
Big data technology in aviation emphasizes the utilization of high volumes of external and internal data to improve and create new business operations.
Big data has great importance in providing broad opportunities for the airline management system and can enhance flexibility in dealing uniquely with each passenger.
It can help generate new methods to boost problem-solving, support decisions, provide safe flight, boost predictive maintenance, and enhance performance.
The dawn of advanced technologies such as big data in the aviation industry, can help provide more satisfying services to customers.
Also, it is an advanced tool to stay ahead of the competition and remain fierce in the marketplace.
What Are The 5 Types of Big Data Analytics
Enormous amounts of data are circulated daily in the aviation industry and consist of every type of information, from existing and potential customers to flights and transactions.
Thus, airlines have different types and sources of big data through which a huge database is collected to help airlines improve their performances.
Majorly, there are five types of big data analytics used in the aviation industry through which the majority of data is collected. These are –
1. Analytics
Prescriptive Analytics as the name suggests is the most valuable and most underused big data analytics technique.
It focuses on a single problem to answer a specific question and helps to determine the best solution from a variety of choices.
After analyzing different parameters, it suggests multiple options to take advantage of a particular situation or future opportunity.
Also, it might illustrate and provide different implications of each decision to improve and enhance decision-making.
It is one of the best ways to grab a future opportunity and successfully mitigate any risk.
2. Diagnostic Analytics
Diagnostic Analytics is a type of big data technology that scientists turn to determine why something happened.
It is a backward-looking type that is useful when researching the key indicators or trends amongst the most loyal customers.
It focuses on causal relationships and sequences to understand a particular event’s reason or underlying secret.
3. Descriptive Analytics
Descriptive Analytics is the most time-consuming of big data analytics. That provides insight into what has happened historically and also describes the current trends to dig into details.
It is useful for uncovering patterns within a certain segment of customers and includes summary statistics for a focused comparison and pattern detection.
4. Predictive Analytics
Predictive Analytics as the name suggests is a model used to forecast what might happen in specific scenarios.
It is a forward-looking approach that predicts an outcome or operation for the future course of action and describes its probability.
The usage of such predictions and details can provide you with a deep insight into a particular course of action that you might plan in the future.
By using predictive analytics with aviation big data, you can accordingly optimize your business operations to minimize risk and for better decision-making.
5. Outcome Analytics
Outcome Analytics is a technique that provides insight into customer behavior which results in specific outcomes.
It is an effective tool to use when you want to evaluate customer behavior and understand their needs and purchasing patterns better.
By knowing how your customers are interacting with your products and services you can effectively change and design your product.
This type of analytics in big data technology works in different directions and is backward-looking, real-time focused, and forward-looking simultaneously.
How Can Airline Industry Use Big Data for Business Growth
Using big data for business growth in the airline industry is one of the advanced methods that airlines can adopt to shape and change their future.
Following are the different impacts and benefits that big data has in the aviation industry –
1. Enhances User Experience
With the help of big data technology, the aviation industry can now accurately conduct multiple analyses to improve the user experience.
The airline industry can keep its customers up to date in real-time, release discounts and offers based on the needs of the customers, and provide them with a unique experience.
Taking a hand over the customer’s data to understand their needs and behavior contributes to customer satisfaction resulting in enhanced user experience.
There might be a number of passengers that get lost on their way to the airport including you and me.
This emerging challenge for the aviation industry surely needs a solution.
Big data technology can be used to create a user-friendly application that guides customers to their destination without unnecessary delays.
A real time flight tracker API is integrated with the application that helps customers to get updates with the most accurate location or the current status of their flights.
This has made a huge difference in the working standards of the aviation industry.
3. Secure Planes And Flights
Every plane comes with terabytes of technical big data regarding every part, component, and software that guides an aircraft to operate at its full capacity without any risks.
Big data helps in analyzing such data to eliminate any number of unexpected scenarios to a minimum level. It helps engineers and maintenance staff to ensure that each plane is in its top shape and can fly 100% safely.
Thanks to big data analytics we can now say hi to safer planes and flights.
4. Predictive Maintenance
Because of the use of big data analytics in the aviation industry many issues and mishandles are now easily resolved without any extra costs.
Issues like baggage tracking, optimization of airspace use, flight routes, aircraft, etc., are now easily managed using big data technology.
Airlines bear high costs due to delays and cancellations and including expenses on the maintenance side.
This cost could be effectively decreased using predictive analytics to minimize any technical errors and smooth business operations.
5. Increased Profitability
The introduction of smart technologies and analytics such as big data efficiently helps the aviation industry to increase its profitability by eliminating any risk of unnecessary damage.
Using facilities such as real-time baggage tracking, fuel consumption data, and other flight data can help airlines achieve efficiency.
The flight data analysis using big data technology helps optimize different business functions which cut down on major costs that might get involved in some other unnecessary functions.
What challenges does the airline industry face in terms of big data?
1. Huge Amount Of Data
The amount of data generated daily using big data technology is huge and tricky enough to manage.
The volume of data that airlines deal with daily in light of rapid and successive developments in the global aviation market makes storing data a big challenge.
Millions of flights operating in a single day globally possess data of their own.
The availability of places to store the inflow of such a volume of huge data is a big challenge in the airline industry.
2. Managing Diverse Data Types
The wide variety of data types, formats, and structures must come together to realize a safe flight environment.
The data ranges from weather conditions, air traffic and so you, aircraft speed, and much more and is unique in its own kind.
Then the process of sorting and classifying such a huge amount of data is quite overwhelming. For real-time decision making it is essential to receive and use this important data accurately for a relevant decision.
Thus, managing such a diversified nature of data probes a huge threat to the airline industry.
3. Analyzing And Efficiently Using The Data
Even after sorting and classifying the enormous amount of data, it is quite a real headache for pilots and flight operators to analyze the data and accordingly use its input in real-time.
To analyze and use data in real time, flight operators need technologies that automatically integrate and support a multitude of data types and formats.
You might have seen different Flight API that works on the same procedure and effectively calculates and analyze real-time data to provide accurate on-time results.
Conclusion
Big data technology has significantly improved and advanced overall business operations in the aviation industry.
Today travelers are much more satisfied and happier with the fact that airlines now know what they are doing.
Also, the traveling experience has significantly improved with the introduction of such effective analytic techniques.
One cannot ignore the leisure and comfort it brings to the customers seeking a great service experience that big data technology brings.
Of course, there are certain challenges while using such advanced technology.
But there is no doubt that big data has made its mark in the airline sector and is a boon in a rapidly changing technological environment.
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