Traditional Culture Encyclopedia - Tourist attractions - How does big data technology play a role in the tourism industry?

How does big data technology play a role in the tourism industry?

At present, big data technology has been applied to all walks of life. With the development of Internet technology, we have ushered in the era of big data, and the emergence of various big data analysis platforms has opened a new starting point for our smart life. Taking the increasingly prosperous tourism industry as an example, the effective combination of tourism and big data has brought us a new era of more convenient intelligent tourism. So how does big data technology play a role in the tourism industry?

The prevalence of big data has prompted all walks of life to contend about big data analysis channels, especially in the tourism industry. Establish the analysis channel of tourism big data according to the idea of "channel+service+use". Mainly integrate all kinds of tourism-related use systems and information resources, complete information sharing and collaboration in public security, transportation, industry and commerce and other related fields, and create a benign tourism cloud ecosystem. According to the needs of construction, the key skills of cloud accounting, such as big data processing and mining analysis, machine learning, intelligent message push, social collaboration and service architecture, are adopted to build the sightseeing cloud accounting channel into a new generation of loosely coupled, efficient, highly available, highly scalable, safe and reliable service support channel. Let all tourist attractions be analyzed through big data channels to form an efficient industrial chain, so that tourists can enjoy an intelligent play experience.

There are many data analysis systems hidden in the travel big data analysis channel, including holiday travel big data analysis system, travel big data marketing analysis system, scenic spot passenger flow big data monitoring system, travel big data statistical analysis system, hotel price big data monitoring system, tourism destination value analysis, travel intention satisfaction index, rural travel big data monitoring system and so on.

With the advent of the era of big data, more and more tourism brands begin to focus on the development and service of intelligent tour skills, and carry out intelligent tour and information construction of scenic spots. Providing advanced and perfect intelligent project construction and marketing services has become the primary task for many tourism enterprises to change their development direction.

Leaders who keep up with the pulse of the times in the industry began to build intelligent scenic spots with the skills of "internet plus" as the breakthrough point, which really improved the management and service level of scenic spots and provided tourists with a faster and more comfortable tour experience. With its first-Mover advantage in summarizing the construction of ticketing system in smart scenic spots, the TRP (Tourism Resource Planning) system is constructed, and an open sightseeing and leisure system integrating scenic spots, leisure and entertainment, specialty shops and other resources is formed, which integrates eating, living, traveling, traveling, shopping and entertainment.

Current travel apps, such as Tuniu Travel, Where to Go, Ctrip Travel, Flying Pig, etc. , are all integrated services of food, housing, transportation, shopping and entertainment. These products are used according to big data analysis channels to analyze users' preferences and habits. At the same time, give users reasonable suggestions. Therefore, using internet skills to solve difficulties and provide convenience for users as much as possible is the direction they have been working hard.

Regarding the role of big data in the tourism industry, I will share it with you here. If you have a strong interest in big data engineering, or want to know more about the skills and materials of data analysts and big data engineers, you can continue to pay attention and keep learning.