Current location - Loan Platform Complete Network - Big data management - Big data kill familiar phenomenon is obvious, how to rectify this behavior?
Big data kill familiar phenomenon is obvious, how to rectify this behavior?

First of all, big data kill familiar refers to the use of big data technology to user profiling, and then according to the different preferences of different users, differential pricing. The big data is not a new thing, in the network shopping, online travel industry, online taxi and so on the Internet industry have appeared big data to kill the phenomenon, even Jingdong, Tmall, drip, Ctrip and so on big platforms have become the main character of the big data to kill the news. Big data to kill familiarization is also commonly referred to as the use of big data technology to collect and analyze the consumer's history of purchase records, occupation, income, age, gender, family status and other personal information, the consumer portrait, to achieve? The company's newest product is a new product that will be available in the marketplace in the near future," he said.

Secondly, the regulation of big data can be directly legislated to prohibit businesses from using big data to kill people. Consumers are more disgusted with the big data to kill, so that consumers feel that the business set too much, a little bit of trust is not there, to rectify the big data to kill, the simplest way is to directly legislate to prohibit, for example, our country has now introduced the "Chinese People's Republic of China *** and the State of E-commerce Law", which some of the provisions of the e-commerce industry is aimed at the e-commerce industry, big data to kill, brushing speculation and other inappropriate behavior, and so on. The Ministry of Culture and Tourism has also introduced the Interim Provisions on the Administration of Online Tourism Business Services, which is a direct ban on the online tourism industry using big data to kill people, and once found, may face a maximum fine of 500,000 yuan.

Moreover, big data kills is built on the basis of user data, and can also be rectified through legislation to protect consumer information. Differential pricing has been around for a long time, such as student discounts, discounts for students and seniors when taking public transportation, discounts for limited purchases or buying more when shopping, etc. These forms of differential pricing are acceptable to most people. However, big data killing is ? Thousands of people, thousands of prices? , merchants in order to know consumer preferences, sparing no effort to infiltrate the consumer's film and television, a variety of routines are also endless, which is the reason why consumers are disgusted. The current Civil Code has provisions for the protection of consumers' personal information.

Finally, online transactions frequently appear big data to kill, or because consumers do not know each other's prices, you can also ask the business pricing to be transparent and fair. Although online transactions are also marked price, but because everyone is through their own cell phone to consume, everyone can only see their own price, can not see the price of others, unlike offline stores, once pricing, each consumer into the store to see the price is the same. People do not have access to each other's information, so merchants have the opportunity to set different prices for everyone, so you can ask merchants to do when pricing? Transparent?