Bulk commodity risk identification method and system and service data push method and system

Abstract

The invention discloses a bulk commodity risk identification method and system and a service data push method and system. The bulk commodity risk identification method comprises that the type of an event and service data influenced by the event sent by a service end when the event occurs is received in real time; a risk event record generated by the event is determined according to the received data; and a corresponding risk exposure record is updated according to spot position change in the generated risk event record. Thus, the corresponding risk exposure record can be updated in real time according to related service data received from the service end when the event occurs in real time, a risk can be identified timely, an enterprise can master the risk status conveniently, and the risk can be managed effectively.

Description

technical field [0001] The present invention relates to the technical field of bulk commodity market analysis, in particular to a bulk commodity risk identification method and system, and a business data push method and system. Background technique [0002] The current business management system, such as the ERP system, mostly handles it from the perspective of traditional purchase, sales, inventory and financial business integration. It manages business processes and does not have pricing rules for contract products, pricing, transfer of goods rights, and business settlement. Centralized management of business data required for risk identification. In particular, in the commodity industry, the industry involves a wide range of industries, such as non-ferrous metals, ferrous metals, precious metals, grains, soft products, oils, chemical products, eggs, building materials, etc. There are nine major industries, 42 trading varieties, and the production and operation of various ...

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Problems solved by technology

[0002] The current business management system, such as the ERP system, mostly handles it from the perspective of traditional purchase, sales, inventory and financial business integration. It manages business processes and does not have pricing rules for contract products, pricing, transfer of goods rights, and business settlement. Centralized management of business data required for risk identification

In particular, in the commodity industry, the industry involves a wide range of industries, such as non-ferrous metals, ferrous metals, precious metals, grains, soft products, oils, chemical products, eggs, building materials, etc. There are nine major industries, 42 trading varieties, and the production and operation of various industries and varieties There are also big differences in management and management. Even in the same industry and category, upstream, midstream and downstream enterprises have different business requirements, which seriously hinders the ERP system from realizing the function of collecting and centrally managing the business data required for risk identification.

[0003] The bulk commodity industry involves a wide range of businesses and complex and changeable business processes, which also makes it unrealistic to rely on artificially judging risk exposures and assessing the scale of corporate losses caused by risks from the business data stored in scattered documents on the ERP side.

This has led to the fact that even if the enterprise has set up risk control personnel, it can only rely on the experience of the risk control personnel. Even if the quality of the personnel is not considered, it cannot be effective if the necessary data required for the implementation of risk control such as relevant information on risk exposure cannot be obtained. management risk

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