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

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...

AI Technical Summary

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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