Master Data System Integration Method Based on Enterprise Service Bus

Abstract

The invention provides a master data system integration method based on an enterprise service bus (ESB). The method includes: a unified master data production system, a master data consuming system, a master data management system, and the unified master data management service interface and the master data updating interface of the master data management system are built; the master data management system is connected with the other systems through the ESB and manages all master data changer events generated in the other systems, and all synchronous coordination and optimization integration related to master data are overall controlled by the master data management system; the master data consuming system provides a port which is used for receiving the master data and registered to the ESB; the master data production system performs synchronous adding, deleting and modification on the master data through the ESB, transmits a data change signal to the master data management system at the same time, and pushes the changed master data to the master data receiving port, registered to the ESB, of the master data consuming system so as to achieve data synchronization.

Description

technical field [0001] The present invention relates to a master data management system based on enterprise service bus software architecture that is applied in enterprise informatization to form a master data management system oriented to enterprise application integration. It is a master data management platform based on enterprise service bus. More specifically, the present invention is Based on the enterprise service bus ESB, the master data management system architecture with data basic services, event response services, data management and control services, data security policies, and data quality management as the core functions organically integrates enterprise service bus and master data management IT technologies , give full play to their respective technical advantages, and form an information system that automatically synchronizes internal master data and converts services into data subscriptions. Background technique [0002] With the development of enterprises ...

AI Technical Summary

Problems solved by technology

This has resulted in data redundancy in these systems, cumbersome data access, inconsistent coding, and out-of-sync data; it has brought the following impact on the business of enterprises: the data in the information system is inaccurate or incorrect, resulting in the use of these information systems Incorrect department information, which brings various problems to the enterprise: such as product delays in the market, products in short supply, inaccurate order delivery, low sales efficiency, reduced customer satisfaction, reduced productivity, etc.

[0007] 2. Inconsistent data standards make it difficult to meet the requirements of centralized control and decision analysis

There are shared basic data among various units and information systems, such as customer and supplier information, inventory classification information, personnel information, organization information, etc., but most of them operate independently and maintain a set of their own, resulting in inconsistent basic data standards and coding rules. Inconsistency and inconsistent maintenance lead to lack of consistency and correctness of basic data, lack of correct maintenance process and data quality, and bring a lot of trouble to business collaboration between units and systems, and cannot guarantee business consistency and accuracy Unable to unify the management and statistical caliber, unable to guarantee the requirements of centralized supervision

[0008] 3. Lack of technologically advanced, unified and standard IT integration architecture

[0009] 4. Too many interfaces

Therefore, enterprises still do not maximize the use of existing data resources, so that more time and money are wasted, and the best opportunity to make key business decisions is lost

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