Trade end-to-end SaaS risk control method based on data statistics

A data statistics and data technology, applied in data processing applications, electrical digital data processing, special data processing applications, etc., can solve the problem of lowering the factory's competitive advantage, customers cannot clearly see the factory's advantages, and transactions cannot be presented in detail to customers. and other issues to achieve the effect of reducing the risk index, accurate company strength and transaction status

Inactive Publication Date: 2017-09-01
格罗斯产业链服务(深圳)有限公司
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Problems solved by technology

[0002] The traditional risk control method is to divide all the transaction data, exchange information and evaluation between the factory and the buyer under each module. Customers cannot clearly see the advantages of the factory. If the factory has a lot of transaction records, the transaction data cannot be displayed all at once. , each transaction of the factory cannot be presented to the customer in detail, which leads to the lowering of the factory's competitive advantage

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  • Trade end-to-end SaaS risk control method based on data statistics
  • Trade end-to-end SaaS risk control method based on data statistics

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Embodiment Construction

[0010] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0011] see Figure 1~2 , in an embodiment of the present invention, a trade end-to-end SaaS risk control method based on data statistics, including the following steps: A data collection and capture, distributed real-time data collection technology based on big data technology, log and database The files are monitored, and new business data are found to be classified and stored. The business data mainly includes the trade intelligence data of factories and buy...

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Abstract

The invention discloses a trade end-to-end SaaS risk control method based on data statistics. The method comprises the following steps: A, acquisition and capturing on data are carried out, according to a distributed real-time data acquisition technology based on a big data technology, a log and a database file are monitored, classified storage is carried out in the case of new service data, the service data mainly comprise trade intelligence data of a factory and a buyer and certain behavioral analysis and relationships of users, and acquisition and storage on data at two ends are carried out; and B, cleaning and analysis on the data are carried out, making of an index rule and extraction of the data are carried out, for example, cleaning and analysis on order data of inquiry communication before the user places an order are carried out, a communication record in quotation is recorded, and the total tracking record in the production stage is extracted. In combination of an independently-developed foreign trade big data platform, the import and export transaction trajectory of a buyer and a seller is found out precisely, report analysis at different latitudes is provided, the actual strength of a company and the transaction condition are provided more accurately, and the risk index in the transaction is greatly reduced.

Description

technical field [0001] The invention relates to a risk control method, in particular to an end-to-end SaaS risk control method for trade based on data statistics. Background technique [0002] The traditional risk control method is to divide all the transaction data, exchange information and evaluation between the factory and the buyer under each module. Customers cannot clearly see the advantages of the factory. If the factory has a lot of transaction records, the transaction data cannot be displayed all at once. , Every transaction of the factory cannot be presented to the customer in detail, which leads to the lowering of the factory's competitive advantage. Contents of the invention [0003] The purpose of the present invention is to provide a trade end-to-end SaaS risk control method based on data statistics, so as to solve the problems raised in the above-mentioned background technology. [0004] To achieve the above object, the present invention provides the follow...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q40/04G06F17/30
CPCG06F16/254G06Q10/0635G06Q40/04
Inventor 刘海明
Owner 格罗斯产业链服务(深圳)有限公司
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