With the popularity of online loans, convenient supervision of online loans has become increasingly difficult to approve, so most online loans will refer to the customer's credit report, big data, and credit report. Big data: If the score is 20, it means that the score is extremely poor, and it is difficult to get a general loan.
Introduction to big data scores: 0-20 points represent extremely poor big data, 21-45 points represent poor big data, 46-65 points represent average big data, 66-85 points It means good big data. A score of 86-100 means excellent big data. The higher the score, the better the credit. The big data score is evaluated through multiple dimensions such as identity verification, loan risk, and breach of trust. It is also based on the Internet For comprehensive behavioral assessment, loan big data is as important as credit reporting, and is also an important reference indicator for loans. The reason why the big data score is too low is directly linked to my poor credit record. If the big data is used up, it may be my fault. If there are too many inquiries or applications, records will be left on the personal information data report. If you apply for an online loan again, the institution will reject it on the grounds that it is a long loan and there is risk. Even more so if big data is overdue, no institution is willing to bear the losses caused by overdue. In other words, if you are rejected because of big data when applying for an online loan, it is simply due to the high number of application inquiries and overdue, and you need to take good care of it. Keep it up and pay it back overdue.
How to query big data: You can go to the official account to query. First open WeChat on your mobile phone, search for the bank's library with the plus sign in the upper right corner, click Follow, and after following, click Check Big Data below, and a band will appear. There are pictures of QR codes. If you use WeChat or Alipay that has been authenticated by real-name, you can scan and identify the QR code to check.
Big data maintenance methods: 1. Once there is a problem with big data, everyone must pay attention to maintenance. First of all, do not apply for any credit cards and online loans in the past six months, and do not take out some online loans with checked limits, especially It is an unreliable link and can easily be tripped. The second thing is to take good care of the credit cards and online loans you currently hold, pay them back on time, and don't overdue them. Thirdly, the number of credit inquiries should not exceed 5 times a month. As long as it exceeds 5 times, there is a greater risk. To sum up, credit big data is a passport for everyone, and it must be maintained well. Cherish your personal credit and repay your loans on time.