JD Finance and ZedFinance, the US big data company, jointly launched ZRobot, which announced the opening of the company. It provides data value-adding and technology application services including data modeling, credit scoring, asset pricing, fraud identification, precision marketing, etc., for banking and auto finance. Various financial and non-gold institutions such as consumer finance and small loan companies provide data technology services in the credit field, enhance the ability of big data analysis and application of financial and non-gold institutions, and prevent and control risks.
The refusal to be a big data company, ZRobot, seems to mean that China has another big data company. However, ZRobot does not like the "big data company" label, and prefers to position itself as a "data technology company." Its CEO Qiao Yang told the author that ZRobot's core competitiveness lies in data mining capabilities and model development capabilities. It finds variables related to credit performance from weak financial related data, uses machine learning technology to assess users' credit risk, and deeply analyzes customers. portrait.
Qiao Yang believes that ZRobot's advanced technology is mainly capable of processing high-dimensional data (more than 20,000 dimensions); capable of processing a wide range of data, both structured and unstructured data can be processed, covering text, sound, images, etc. Type, constructed model has low dependence on data quality, and has certain judgment and prediction ability for “weak active users†with less effective data records. In addition, using the Internet behavior data of authorized users, predicting and analyzing tens of thousands of dimensional variables, The established data model is universal and stable.
According to the data, the current big data market has reached the scale of 10 billion. With the data acquisition cost and storage cost significantly reduced, the data volume of Internet and Internet data, offline transaction data, and telecom data are expanding at a high speed. The number of expert teams with technology and ability to fully interpret data is limited, and large amounts of data cannot be directly applied at low cost, with obvious signs of waste.
ZRobot is not willing to position itself as a big data company. It is because a large number of companies nowadays like to advertise big data genes. However, the accumulation and precipitation of massive data cannot directly bring much commercial value to enterprises. If at the application level, China is currently big. Part of the precipitation data and data value has not been fully explored, especially the lack of core competitive data technology service providers, resulting in massive data in dormant state, or staying in the roughing state, far from reaching the high value-added state of deep processing.
It can also be seen from ZRobot's release of two products, "Mannet" and "Panggu Credit Model", that the two products have been developed, verified and put into operation in several customer financial businesses during the ZRobot preparation process. For example, “Management†is based on a complex network based on polygons, which can complete user insights, mine high-risk features, reduce fraud risks, and comprehensively complete credit evaluation. The “Panggu Credit Model†uses multi-dimensional pre-lending data to predict the customer's comprehensive overdue risk. The credit score has high discrimination and low false positive rate for bad customers. Different institutions can customize ZRobot credit score according to their own business needs. Risk management strategy.
It is worth mentioning that usually the econometric model is very demanding on data, and the quantity and quality directly determine the validity and predictive ability of the model. With the continuous advancement of inclusive finance, those who do not receive services in the traditional financial system often become blind spots of the measurement model. The “Panggu Credit Model†currently uses the Internet behavior data such as orders, browsing, and communication of authorized users to mine value, predictive analysis. The variables of tens of thousands of dimensions mainly cover young people who lack credit records, which can make up for the lack of traditional models to some extent.
Big Data commercialization of next <br> <br> nowadays explore the core competitiveness of Internet banking, risk control strength is probably the most important part, whether proper risk management and control, the bad debt rate was controlled at a very low level is essential . With the gradual disappearance of Internet finance by sales promotion, the traffic-driven barbaric growth has basically ended, entering the new era of big data driven by wind control. At present, there are many companies with data processing capabilities, but companies dealing with data technology companies and service terminal data applications have huge space in the Chinese market. ZRobot is also a blank in China's data technology market, focusing on data value-added and technology applications, trying to implement data. Drive the value of business decisions.
ZRobot is not willing to limit its customers to financial institutions such as banking, auto finance, consumer finance, and small loan companies, but to larger non-gold institutions to provide data technology solutions. Of course, ZRobot's current intricate big data market environment in China is difficult to avoid and will encounter many challenges, which need to be tested by time and market.
As a ZRobot shareholder, ZestFinance, one of the founders, is a US big data company that conducts personal credit scoring through machine learning and big data technology, mainly for users who cannot use financial services under the traditional personal credit system. 2015 6 Received Jingdong Financial Investment in the month. Jingdong Finance's participation in the establishment of ZRobot can also be seen in its interest in data technology, which is also in line with JD Finance's position in the field of financial technology.
As we all know, Internet financial big data risk control solutions generally adopt user social behavior and social attribute data, to some extent complement the shortcomings of traditional wind control data dimensions. The future market competition lies in who can extend the depth of the above two areas and the service goes further. The solution provided by ZRobot provides another consideration for the current big data commercialization road.
ZRobot refuses to do big data company next stop or big data commercialization
ZRobot also released two of its products - "Man Network" and "Panggu Credit Model". “Management Network†will use complex network technology to conduct anti-fraud risk management and control, and “Panggu Credit Model†can provide credit evaluation suggestions for credit users and reduce the rate of non-performing assets.
The refusal to be a big data company, ZRobot, seems to mean that China has another big data company. However, ZRobot does not like the "big data company" label, and prefers to position itself as a "data technology company." Its CEO Qiao Yang told the author that ZRobot's core competitiveness lies in data mining capabilities and model development capabilities. It finds variables related to credit performance from weak financial related data, uses machine learning technology to assess users' credit risk, and deeply analyzes customers. portrait.
Qiao Yang believes that ZRobot's advanced technology is mainly capable of processing high-dimensional data (more than 20,000 dimensions); capable of processing a wide range of data, both structured and unstructured data can be processed, covering text, sound, images, etc. Type, constructed model has low dependence on data quality, and has certain judgment and prediction ability for “weak active users†with less effective data records. In addition, using the Internet behavior data of authorized users, predicting and analyzing tens of thousands of dimensional variables, The established data model is universal and stable.
According to the data, the current big data market has reached the scale of 10 billion. With the data acquisition cost and storage cost significantly reduced, the data volume of Internet and Internet data, offline transaction data, and telecom data are expanding at a high speed. The number of expert teams with technology and ability to fully interpret data is limited, and large amounts of data cannot be directly applied at low cost, with obvious signs of waste.
ZRobot is not willing to position itself as a big data company. It is because a large number of companies nowadays like to advertise big data genes. However, the accumulation and precipitation of massive data cannot directly bring much commercial value to enterprises. If at the application level, China is currently big. Part of the precipitation data and data value has not been fully explored, especially the lack of core competitive data technology service providers, resulting in massive data in dormant state, or staying in the roughing state, far from reaching the high value-added state of deep processing.
It can also be seen from ZRobot's release of two products, "Mannet" and "Panggu Credit Model", that the two products have been developed, verified and put into operation in several customer financial businesses during the ZRobot preparation process. For example, “Management†is based on a complex network based on polygons, which can complete user insights, mine high-risk features, reduce fraud risks, and comprehensively complete credit evaluation. The “Panggu Credit Model†uses multi-dimensional pre-lending data to predict the customer's comprehensive overdue risk. The credit score has high discrimination and low false positive rate for bad customers. Different institutions can customize ZRobot credit score according to their own business needs. Risk management strategy.
It is worth mentioning that usually the econometric model is very demanding on data, and the quantity and quality directly determine the validity and predictive ability of the model. With the continuous advancement of inclusive finance, those who do not receive services in the traditional financial system often become blind spots of the measurement model. The “Panggu Credit Model†currently uses the Internet behavior data such as orders, browsing, and communication of authorized users to mine value, predictive analysis. The variables of tens of thousands of dimensions mainly cover young people who lack credit records, which can make up for the lack of traditional models to some extent.
Big Data commercialization of next <br> <br> nowadays explore the core competitiveness of Internet banking, risk control strength is probably the most important part, whether proper risk management and control, the bad debt rate was controlled at a very low level is essential . With the gradual disappearance of Internet finance by sales promotion, the traffic-driven barbaric growth has basically ended, entering the new era of big data driven by wind control. At present, there are many companies with data processing capabilities, but companies dealing with data technology companies and service terminal data applications have huge space in the Chinese market. ZRobot is also a blank in China's data technology market, focusing on data value-added and technology applications, trying to implement data. Drive the value of business decisions.
ZRobot is not willing to limit its customers to financial institutions such as banking, auto finance, consumer finance, and small loan companies, but to larger non-gold institutions to provide data technology solutions. Of course, ZRobot's current intricate big data market environment in China is difficult to avoid and will encounter many challenges, which need to be tested by time and market.
As a ZRobot shareholder, ZestFinance, one of the founders, is a US big data company that conducts personal credit scoring through machine learning and big data technology, mainly for users who cannot use financial services under the traditional personal credit system. 2015 6 Received Jingdong Financial Investment in the month. Jingdong Finance's participation in the establishment of ZRobot can also be seen in its interest in data technology, which is also in line with JD Finance's position in the field of financial technology.
As we all know, Internet financial big data risk control solutions generally adopt user social behavior and social attribute data, to some extent complement the shortcomings of traditional wind control data dimensions. The future market competition lies in who can extend the depth of the above two areas and the service goes further. The solution provided by ZRobot provides another consideration for the current big data commercialization road.
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