This presentation covers how customer data is collected by Airlines, the potential applications of the data and practical examples.

1. The Applications of Big Data Analytics in
the Airline industry

2. Traditionally Airlines have been very good data collection,
since they have always been flooded with data.
Airlines and Big Data

3. Now that the costs of storing and processing data have
significantly reduced—even as airlines collect more data—it’s
becoming easier for them to act on it.
Less Cost, More Analytics

4. For majority of the airlines, the first problem lies in bringing
together segregated silos of passenger information—booking
information from transaction systems, web and mobile
behavior (including searches, visits, abandoned carts), email
data, customer service info, etc.—to create a single,
centralized view of the customer
The Pain Point

5. Applications of Big Data

6. Performance benchmarking,
competitive analysis, and
predictive analytics

7. Real-time analytics to
optimize of flight schedules,
fleet management and crew
allocation

8. Pricing, revenue
management, demand
modeling, forecasting, and
risk analysis

9. Inventory management,
tracking resources, and
maintenance planning

10. Combating cyber security
threats by leveraging data-
driven models and
frameworks

11. Adherence to regulatory
compliance

12. Building Customer loyalty,
customer value creation and
implementation of new
customer services

13. Practical Use Cases

14. Delta Airlines had all the tracking
data available via the use of
hand-held baggage scanners
used at passenger check-in.

15. They used this data as the first
major airline to launch an
application allowing customers
to track their bags from their
mobile devices which has been
downloaded more than 11
million times.

16. Southwest Airline uses aggregated,
anonymous customer data to promote
products, services, and featured offers to
customers on multiple channels, devices,
and websites including Southwest.com.

17. By observing and looking into customer
behaviors and actions online, they were
able to offer the travelers the best rates
and experiences possible.
This data is also used to nurture the
relationship with customers.

18. For example, they look at the city
pairs that are being searched to
determine what type of service
should be provided on a specific
route.

19. In case of Norwegian airline Wideroe, a single
customer view built via customer data allows agents
in the call center to understand the full history of the
customer—not just the customer service history, but
also their recent visits to the website or promotional
emails they’ve opened.

20. Airlines have a great opportunity to create data-driven virtual
travel assistant that knows what customers need before they
do by combining data with mobile—helping people through
airports, in-destination, encompassing the whole travel
period.

21. Reach out to PromptCloud — a pioneer in
custom, managed and cloud-based web
extraction services.
https://www.promptcloud.com
sales@promptcloud.com
Looking to
augment data
assets with web
data?