#头条创作挑战赛 #
In terms of credit investigation data sources, JD Baitiao mainly comes from JD.com's self-operated, JD e-commerce platform, JD financial business, as well as the Internet and other enterprises that cooperate with JD.com.
Among these data sources, the effective data that can be obtained are consumption data, logistics data, behavior data and credit data, which mainly come from within Jingdong Group, while the big data obtained from the Internet and other cooperative enterprises is mostly fuzzy data.
The risk control of Jingdong Baitiao is mainly big data risk control, and the data obtained from the above channels is assessed through Jingdong Baitiao's big data risk control system to determine the credit object and credit limit. For users, they can check their credit data and credit limit from the most intuitive "small white credit score", and make credit consumption within the scope allowed by the quota.
The development of Internet personal credit in the mainland is still in its infancy, in the overall environment, the development of Internet personal credit has a good foundation, and there is also big data cloud computing support in technology, but there is still a certain degree of risk in some details.
For the personal credit investigation model of Jingdong Baitiao, there are still some problems and risks in the input side of credit investigation data source, credit data processing and risk control, credit investigation output scenarios and laws, etc., which expose Jingdong Baitiao's personal credit investigation to hidden dangers.
At the same time, under the background of the gradual fierce competition in the Internet personal credit market, there are also certain disadvantages in the competitive position of Jingdong Baitiao's personal credit. These risks and disadvantages will affect the effect of Jingdong Baitiao's personal credit model to a certain extent.
01The information and data used for personal credit reporting are incomplete
The data used for Jingdong Baitiao's personal credit report mainly comes from the data accumulated by JD.com's own e-commerce platform and Internet financial business. It can be seen that the advantages of JD Baitiao's credit data source come from its developed logistics, e-commerce and Internet finance.
However, in other areas of the Internet, such as travel, social networking, search engines, games, etc., there is less data available, even if there is investment in platforms or software in related fields, but these platforms or software audiences are small, and fewer users mean that there are few data sources, and it is difficult to extract effective data from them.
On the other hand, for Internet companies, less user traffic will lead to incomplete data, Jingdong Baitiao's car, decoration, rent, education and tourism several output scenarios of the cooperation platform uses fewer users, access to the white stripe use scenario of the platform is not well-known, in these platforms, users use the most free rent and New Oriental Online, its users only account for 16.72% of the total number of surveys.
02The quality of data to assess an individual's credit status is low
Due to the nature of white stripe personal credit data, it is easier to focus on the user's spending power for the portrayal of users, and the estimation of income level cannot be as in-depth and accurate as the credit evaluation of traditional bank credit. The user information is relatively marginal compared with traditional financial credit, and there will be non-mainstream data.
These data will be more accurate in targeted network marketing, and the verification of financial credit needs to be technically improved. That is to say, although the big data credit of the white stripe has increased the breadth of the scope of depiction of credit investigation objects, it may not be as mature as traditional credit investigation in depth.
On the other hand, since the number of users who use Jingdong wallet to pay is not as many as the number of users who use Alipay and Tenpay, the proportion of users using white stripes does not account for the main scale of consumer finance, resulting in insufficient usage and repayment data directly related to white bars, which will affect the assessment of personal credit status.
03There are still defaults and theft under the risk control system
From the current risk control of Jingdong Baitiao, it is necessary to extract effective information from the massive data captured and analyze this information. The information of traditional bank credit investigation is mainly the economic and financial information of credit investigation objects, and the analysis of information such as loans and credit cards of credit investigation targets is used as the basis for the next loan, that is, it is evaluated by historical credit status, which has a high credit information correlation and is more targeted.
However, unlike traditional bank credit reporting, the data analyzed by Internet personal credit investigation may have limited correlation between various variables, and it may be more complex to interpret these data and derive the credit level of credit investigation objects, and higher technical requirements are required.
Moreover, traditional bank credit has accumulated a lot of historical data, and there is rich historical credit data for customer evaluation, but Jingdong Baitiao has only been online for more than two years, and the understanding of whether users have default motives is not sufficient, which will also leave a hidden danger of default under the current risk control system.
On the user side, there have been cases of stolen white stripes and malicious cashing, and it is also necessary for white stripes to make efforts in risk control and anti-fraud to prevent the occurrence of fraudulent use, theft and false transactions of users' identities. The cost of default and the frequency of fraud problems are indicators to measure the level of risk control. In the face of such costs and problems, Baitiao needs to further improve and enhance the current risk control system and technology.
04Personal credit application scenarios are narrow
The output scenarios of Internet consumer finance personal credit are based on Internet payment, and the current output scenarios of white stripes are mainly Jingdong Mall consumption white stripes, campus white stripes, tourism white stripes and rental white stripes, etc., and these companies or platforms that cooperate with Baitiao do not occupy an advantage in their market share in their field, users do not know much about the output scenarios of white bars, and users' understanding and use of white stripes are mainly limited to Jingdong Mall shopping.
In mainland Internet payments, Alipay and Tenpay mainly divide the main markets, while JD Wallet only occupies part of the market in the second echelon. Moreover, in the C-end promotion of the payment business, the white stripe does not have enough publicity, which also limits the scope of use of the white stripe. Credit investigation is only a part of the service application scenario, and if there is no scene as the output, the role of credit investigation will not be played.
05 The cause of the problem of Jingdong white stripe personal credit reporting model
(1) The data source channel in the personal credit reporting model is single
From the perspective of Baitiao's own credit data, the data is mainly from Jingdong's own e-commerce platform and Internet financial business accumulated data, and in the field of lack of white stripe credit data, such as tourism, social networking, search engines, games and other fields of data, is dominated by a small number of platforms, due to the nature and scale of these platforms' own business, it is difficult for JD.com to obtain data through previous investment or mergers.
The lack of data sources and the difficulty of obtaining them from other sources will result in a single source of white stripe credit investigation data, and the volume and dimension of data will be limited, which will adversely affect the accuracy of white stripe users' credit level assessment.
(2) Personal credit target groups are prone to impulse consumption
Jingdong Baitiao captures the consumption needs and installment payment needs of students and young people, which is more conducive to business development and expansion. However, the per capita disposable income of this group is also low, and even the student group has no source of income. Lower incomes but greater desire to consume, the consequences of which will be impulse consumption and insolvency.
17.65% of users admitted that due to the characteristics of advanced consumption and installment consumption of white bars, they will have excessive consumption behavior. For Jingdong Baitiao, the problem that will occur is that after the user impulsively consumes, he cannot repay on time or even cannot repay, resulting in default.
In addition, Internet consumer finance loans have a lower application threshold than traditional bank credit cards. Low borrowing threshold, convenient borrowing payment method (using white bars directly after placing orders in the mall), low default costs, and the potential risk of white bar default is very large, which is also the reason why this group will default.
(3) The application scenario does not have obvious advantages in the competition of the Internet financial market
From the current point of view, it is more difficult for JD.com's payment business to go out of JD.com's ecosystem, and the use of white stripes is mainly in JD.com, and the output of scenarios outside JD.com is limited. This is mainly due to the failure of JD Wallet's payment business to expand its coverage, and in the competition with Alipay and WeChat Pay, it is in a weak position, or even inaction, and does not spread JD Wallet's payment business outside the JD Mall.
From the perspective of market competition, although JD.com is the largest self-operated e-commerce platform in China, in the field of e-commerce, Alibaba's Taobao and Tmall still dominate, and the coverage of JD.com e-commerce and JD consumer finance in the market is relatively narrow. The Internet consumer finance market is highly competitive, and major e-commerce and Internet consumer finance companies are actively seizing the market.
In the three years since JD Baitiao was launched, the proportion of the total issuance of white stripes in the total scale of Internet consumer financial transactions has decreased year by year. In the personal credit reporting model of the white stripe, a person's installment willingness and repayment situation using the white stripe are part of the credit investigation data.
If you can't catch more customers using white bars, or if you can't attract more customers to continue to use white bars, it will create discontinuity in their data on repayment and default, which will affect the effectiveness and efficiency of credit assessment.
(4) The existing supervision is not binding on users enough
- The success of a product is the result of the joint efforts of the product designer and the user. Baitiao continues to improve and update its technology in terms of big data risk control and credit scoring to reduce the occurrence of defaults and fraud, but from the user's point of view, such technology can only reduce the risk of adverse selection, not moral hazard.
Jingdong white stripe personal credit and default, currently not with the central bank's personal credit system, users will not worry about their credit records in the central bank, will not worry about the white stripe arrears and default will affect the credit status in the bank and cause other adverse effects, which is very passive for the risk control of the white stripe, easy to cause user default.