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How is big data collection realized?

A very important point in the application of big data is to solve the problem of information asymmetry.

It is also very common to lose contact in the process of collection, through the relationship chain of big data, you can find the people who are more closely linked to the people being called, through this chain you can step by step to find the contact person, so as to achieve the purpose of collection.

While we have found the contact, there will be borrowers who refuse to cooperate, play bad, but if the big data is strong enough to tap the interests of the borrower, use this to find the borrower's topic, so that step by step to get more information about the borrower, prompting it to repay.

Here's an example, a borrower lost contact, the collection agency with the help of big data chain, to find the borrower's close contacts, the first contact with the close contacts know that they are collection agencies, the subsequent refused to answer the phone, and the collection agency with the help of big data public opinion analysis, to find the close contacts of the hobbies, so that the identity of strangers to contact from the talk about hobbies. The company's goal is to provide the best possible service to its customers," he said. "The company's goal is to provide the best possible service to its customers," he said.

Here also have to say a point is the application of big data at the same time, people's privacy is also easily exposed, regardless of the reason, the application of big data must be legalized, not abused.

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