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How is it for enterprises to kill with big data? Is big data good?

Original title: what does it mean for enterprises to kill with big data? How to solve it

Some netizens once said on Weibo that they found many 'smart' Internet enterprises using big data to 'kill'. What's the matter? What's the meaning of killing? How to solve it?

What does it mean for enterprises to kill with big data

A netizen uses his own experience to explain what he has encountered:

He often booked a hotel for business and permanent stay through a travel website, with a long-term price of about 380-400 yuan. A few days ago, he stayed in the hotel at the same price on the travel website, and asked about the price of the hotel at the front desk when he checked in. The front desk said that it is the off-season of tourism, with a very low price of about 300 yuan.

This netizen then let a friend use his own account to check, show 300, then use my account to check, or 380. Then the netizen called the customer service staff and the operator said it might be a cache problem.

'it's very common. "When it comes to the use of big data by some Internet companies, Yang Yixian, a professor at the school of Cyberspace Security of Beijing University of Posts and telecommunications, admits that many enterprises can't resist the temptation of price difference.

In economics, there is a concept called price discrimination, which usually refers to that the suppliers of goods or services make different selling prices or charging standards when they provide the same grade and quality of goods or services to different consumers.

Amazon's differential pricing was controversial in 2000. At that time, an Amazon user reported that after he deleted the search record of the browser, the price of the DVD products he had browsed before fell from $26.24 to $22.74.

As soon as the news came out, a flood of denunciations rushed to Amazon. Later, Amazon CEO Bezos publicly apologized for this, saying that this is just a differential pricing experiment to show different customers, absolutely nothing to do with customer data, just for testing.

How to solve the problem of using big data to kill Enterprises

A number of professionals engaged in legal work told reporters that the behavior of setting different prices for the same product for different consumers is obviously problematic, and businesses should adjust the price list in a timely manner.

"If we rely on technology alone, there is obviously nothing we can do, and the more we protect, the more we will intensify the privacy disclosure. Yang Yixian said that we must do more.

Yang Yixian suggested that big data mining for the purpose of "human flesh search" should be prohibited legally, and legal provisions such as "right to be forgotten" should be added, i.e. Internet users have the right to request relevant networks to delete "information fragments directly related to themselves". From the perspective of management, measures should be taken to supervise and control some malicious big data mining activities.

'in addition, we need to reshape the concept of privacy when necessary. "Yang Yixian said, because after all, privacy itself is something related to the nation, religion, culture and so on. In a sense, it is also a conventional thing. There has never been an eternal privacy, especially when something is no longer confidential, it should not be regarded as privacy in any case.