Tourism has reached the crossroads for big data

Airlines, hotels and online travel booking sites are all tapping into the value of data to the maximum, resulting in increased bookings conversion rates, customer satisfaction, and business revenue.

Herve Couturier, senior vice president at Amadeus, an airline booking service giant, said:

We have seen the real business value of big data. Big data can improve bookings conversion rates, reduce operational costs, increase business revenue and customer satisfaction.

Last week Amadeus released a report titled "The Crossroads of Tourism to Big Data," please download and report that innovative big data applications are gaining momentum in the travel industry with a number of big data successes such as British Airways, Travelocity, travel advertising company Sojern and so on.

British Airways

The Know Me project at Brithish Airways goes beyond the traditional frequent flyer-miles program to remember the personal preferences of more travelers. For example, data analysis shows that travelers tend to choose window-seats for short flights, while long-haul flights prefer seat-sideways to facilitate stretching their legs, all of which are proven patterns of recurrence.

BA integrates all travelers-related fragmented data and historical data scattered across systems and finds valuable information that was previously overlooked or inaccessible. BA will also bring data analysis to the forefront and even cockpit Crew members in the hands of the iPad.

Travel advertising company Sojern

Sojern collects and aggregates data from airlines, hotels, car rental agencies and credit card companies, enriches user profiles with machine learning and advanced analytics, and finds out that "when people travel, where and how many people are Travel, what brands do they like, travel time and service levels "and other valuable information. Sojern's big data analytics technology comes from Think Big Analytics, a big data consulting firm based in Mountain View, Calif.

Sojern's data analysis results were also used by airlines, hotel chains and car rental companies to adjust pricing and service names in due course. Delta and Starwood, for example, can make rational cross-selling tactics and inventory adjustments by analyzing data from business travelers who travel between New York and San Francisco in the past month.

Travelocity

The famous online travel site Travelocity uses big data analytics for pricing, inventory and advertising. The three dimensions of data every day will produce supply and demand changes. Travelocity uses the proposed model, best-in-breed analytics and recommendation engine to deliver the most appropriate product to its target customers. Travelocity uses Hadoop as a big data collection environment and then pushes the results to edge applications through analytics models and supports real-time decisions.

to sum up

Most big data analytics applications for the tourism industry fall into three broad categories: one is to improve internal operational efficiency; the other is to optimize pricing and inventory; the third is to provide better context-based services to customers. All three analyzes face the challenge of big data, and the data generated by travelers, such as destinations, flights, trains, cruises, hotel rooms, pricing, etc., are growing at an alarming rate every year.

The big data revolution in tourism is starting to embrace grid cluster systems, high-speed analytics and open source platforms like Hadoop.

Instead of finding the cheapest airline tickets or shortest voyage, the tourism industry is no longer looking for the best flight, better social reputation, better weather in destination, or better family hotel.

The airline industry experienced a major technological revolution in the 1970s and 1980s with the emergence of revenue management, frequent flyer management and operational analysis, but ceased to innovate until today. Big data technologies provide the second technological revolution in the aviation industry A strong engine.