Financial data processing method for supply chain financing

Abstract

The invention discloses a financial data processing method for supply chain financing. The method is characterized by comprising the following steps: I, establishing multiple corresponding data channels for different enterprise information systems; II, establishing a corresponding adapter for each data channel, and storing different types of data taken from the corresponding data channels into a buffer according to the types through the adapter; III, establishing an XML table logically in a matrix relationship according to the data type and format required by a financing system; and IV, reading different types of data in the buffer, and converting different types of data obtained by the adapter through different data channels into the data type required by the financing system according to the matrix relationship in the XML table.

Description

technical field [0001] The invention belongs to the field of computer data processing, and in particular relates to a financial data processing method for supply chain financing. Background technique [0002] Financing difficulties for small, medium and micro enterprises is a common problem. One of the reasons is the asymmetry of financing information between financial / investment institutions and enterprises. Financial / investment institutions do not have a transparent understanding of the information of small, medium and micro enterprises. For orders, raw materials, semi-finished products, and finished products The purchase, sale and storage information cannot be read effectively. The reason for this is essentially that many small, medium and micro enterprises have different computer software systems. Each system has different types, different system data interfaces, and inconsistent data semantics (for example, male and female Some systems use 0, 1, some systems use men and...

AI Technical Summary

Problems solved by technology

[0003] The existing technology has the following disadvantages. First, if the data is manually entered, it will consume a lot of labor costs. At the same time, in order to ensure no errors, multi-channel procedures make the efficiency low and consume a lot of time.

Second, if only photocopied scanned copies of the data are entered, firstly, the readability is poor, and the integration with the existing financial institution system is poor; secondly, when performing loan risk assessment, the photocopied data cannot be read into the risk assessment model Third, whether it is manual entry or photocopying and scanning, the real-time performance is very poor, and the latest data cannot be provided to banks for loans

Images