Traditional Culture Encyclopedia - Hotel franchise - How to control the killing phenomenon of big data
How to control the killing phenomenon of big data
The National Day is approaching, and a topic related to online travel-"1+0 prohibits big data killing" is listed on the hot search list of Weibo. This topic originated from the Interim Provisions on the Management of Online Tourism Management Services issued by the Ministry of Culture and Tourism, which came into effect on June 5438+ 10/day. Article 15 of the Regulations clearly stipulates that online tour operators shall not abuse big data analysis and other technical means to set unfair trading conditions based on tourists' consumption records and travel preferences, and infringe on the legitimate rights and interests of tourists. This regulation is aimed at the "big data killing" behavior that has been criticized in recent years.
The arrival of "big data era" has brought people a lot of convenience, but it has also brought some negative effects, and "big data killing" is one of them. In the "Interim Provisions on the Management of Online Tourism Management Services" (draft for comment) issued by the Ministry of Culture and Tourism on June 5438+ 10 last year, the prohibition of "killing big data" is defined as "online tourism operators shall not use big data and other technical means to set differentiated prices for the same product or service under the same conditions for tourists with different consumption characteristics".
Combining the two provisions of the Regulations (Draft for Comment) and the Regulations, "big data killing" can be simply understood as: online travel operators abuse big data analysis methods and use their own information advantages to set higher prices for old customers than new customers, causing old customers to suffer. In March last year, a survey released by the Beijing Consumers Association showed that nearly 90% of the respondents thought that "big data killing" was common, and 56.92% of the respondents said that they had been killed by big data. Among them, online shopping, online travel, hotel accommodation, online car rental, take-away, movies and other consumer scenes are most likely to be killed by big data.
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