Master data management system and method based on duplicate mechanism

Abstract

The invention discloses a master data management system and method based on a duplicate mechanism. The master data management system comprises a business system, a duplicate monitoring subsystem for master data management and a life cycle management subsystem for master data management; the duplicate monitoring subsystem performs modeling on duplicates, the duplicates are collected from the business system through a collection interface, then query, conversion and import of the duplicates are performed, then the duplicates are sent to the life cycle management subsystem through an import interface for master data duplicate processing, then a notice is sent or master data is distributed through a notice interface, and the master data and the duplicates thereof are checked at the same time. The master data management system and method have good universality, flexibility and extensibility. Core business logic is provided, restraint regulations for the collection interface, the import interface and the notice interface are established, and the master data management system and method are suitable for different technological type selections.

Description

technical field [0001] The invention belongs to the technical field of master data management of enterprise informatization, and in particular relates to a master data management system and method based on a copy mechanism. Background technique [0002] Master data is high-value core entity data that can be reused across businesses in an enterprise, and is the "golden" data of an enterprise, such as personnel, products, customers, suppliers, materials, etc. Master data management helps enterprises create and maintain a single view of master data throughout the enterprise, ensuring that the entire enterprise IT system coordinates and reuses accurate, consistent, and complete master data. [0003] The customers of master data management are generally large and medium-sized group companies, and group companies implement master data management. They hope that their sub-groups or branch companies can effectively follow the master data standards and management systems and implemen...

AI Technical Summary

Problems solved by technology

These are obviously difficult to achieve the purpose of management and control. The main problems are: 1) Send master data information to the business system, but do not know whether the business system has carried out relevant business processing; 2) Do not understand the basis of master data and business systems The mapping relationship of data cannot check the implementation of the real master data specification of the business system

3) Data integration products are generally "heavy", and secondary development is difficult, which increases additional workload

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