1, the credit business has a number of late, or public **** bad information is recorded by the Internet after the big data, this part of the user will be big data wind control. Want to lift the wind control, first need to understand the reasons for wind control.

2, for example, if it is caused by late repayment of credit business, you can first settle the overdue loan. Then wait for a period of time, so that the big data wind control will be lifted by itself.

3, if it is a public **** bad information is recorded, such as cell phone arrears, water and electricity gas bill arrears, etc., but also only need to the amount of arrears in time to settle, you can lift the big data wind control.

4, big data risk control is big data risk control, refers to the borrower through the use of big data to build a model of the method of risk control and risk tips. With the original man-made borrowing enterprises or borrowers to carry out empirical wind control is different, through the collection of a large number of borrowers or borrowing enterprise indicators for data modeling of big data wind control is more scientific and effective. Now some big technology companies will use big data risk control to control the risk of.

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