2022- 10-20 consultation record and answer.
Can big data be borrowed through sunshine?
Hello, dear. Big data may not pass the sunshine flash loan treasure. Under normal circumstances, applications from six platforms in a month are rejected, indicating that the data has been spent. Don't tamper with online loans at this time.
Consumer big data can apply for online loans, but in this case, customers need to meet the following requirements in order to successfully apply for loans: 1. There is nothing wrong with the customer's credit report. Credit information is the basis for customers to apply for online loans. When reviewing, the priority is much higher than online loan big data. Even if big data is spent, as long as there is no problem with credit reporting, online lending may still be successful. 2. Customers cannot have excessive debt ratio. If the customer's debt ratio exceeds 50%, it means that the customer's debt pressure is relatively high. In this case, if you apply for an online loan, the platform will have concerns about the customer's repayment ability and will be very cautious in the next repayment. 3. There are not many long-term loan records on customers' big data. The multi-head loan record shows that the customer has loan application records of several lending institutions recently, indicating that the customer is under great economic pressure, and the online lending platform will have concerns about the next payment, thus affecting the customer's loan application. 4. Customers need stable income. After big data is spent, the online lending platform will pay more attention to customers' income. If the customer does not have a stable income, it will make the platform more uneasy and will refuse the customer's loan application. 5. Customers need to have reasonable loan demand. Customers applying for online loans need to have reasonable and compliant needs, and they can't borrow online loans to manage money or buy a house, which will also make online lending platforms refuse to lend. It can be seen that although big data has some influence on online loan applications, it does not mean that if there is a problem, it must not be borrowed.