What data does the traditional credit information mainly use?

Advantages of traditional credit investigation.

Traditional credit investigation plays a key role in facilitating personal loans, assisting financial credit decision-making, preventing credit risks and improving financial availability. The traditional credit collection is mainly based on manual collection, and whether to lend or not is judged by details such as home address, communication mode, real estate situation and bank flow.

The data sources of traditional credit investigation mainly come from banking, securities, social security and other systems to form a data cycle, and the data is basically complete, which is mainly used for asset evaluation.

2. Advantages of big data credit reporting

With the development of the Internet, a large number of data related to personal credit investigation have been produced on the Internet. The emergence of big data credit information has effectively solved the borrowing problem of people who have not entered the credit information category but need to borrow at the same time.

Big data credit reporting uses Internet traces to assist in judging credit, meeting the credit reporting needs in many aspects such as identification, anti-fraud, credit evaluation, and new Internet finance formats such as P2P peer-to-peer lending, third-party payment, and Internet insurance.

Big data credit reporting is not only used for economic and financial activities, but also can expand the application scenarios from the economic and financial fields to all aspects, such as renting a house and renting a car, booking a hotel, visa, marriage and love, job hunting and employment, insurance handling and other life scenarios that require credit performance.

3. Major differences

The manual collection mode adopted by traditional credit investigation can obtain more real borrower information, and carefully analyze all the information of borrowers from the perspective of security.

Big data credit reporting is to use its own massive data advantages and user information to judge from several latitudes such as wealth, security, compliance, consumption, social interaction, etc., to establish credit reports for users and form a massive database based on big data.

4. Existing problems

The main problems faced by traditional credit information are incomplete credit information, low enthusiasm for uploading data on the platform, untimely update, high entry threshold and long time-consuming manual information collection. Therefore, the limitations in the field of Internet finance make traditional credit reporting unable to effectively help Internet finance provide services.

The difficulty of big data credit reporting lies in the disorder of data caused by too much information, which makes it difficult to integrate multi-party data. Data correlation analysis takes a long time and practice to test, and the accuracy of credit evaluation data is low in the short term.

5. Impact on us

Now personal credit has been closely linked with our daily life. This also means that our credit is more easily affected, whether it is credit card repayment or house car loan repayment, or even default on mobile phones and water, electricity and gas will also affect credit.

Once the credit is tainted, it will affect the credit information, and it will be more difficult to buy a house with a loan in the future. So don't lose too much because of too little.

There are more and more small partners applying for online loans. How to check their online loan big data credit? In the past, the use of bank loans and credit cards will be included in the central bank's credit information system, so that banks can know the loan consumption information of each borrower and judge whether to lend to borrowers more quickly and accurately.

At present, many small lending institutions are based on the credit information of the central bank, and each bank also has its own credit information system. If you are blacklisted by a bank, it is almost impossible for you to apply for a credit card or loan from that bank.