An enterprise master data management platform

Abstract

The invention provides an enterprise master data management platform. The existing workflow engine and the service system as a third party realize access through a unified interface provided by a service layer, which can realize access of a plurality of workflow engines and effectively reduce the cost of deployment and implementation in different enterprises. The service layer interacts with the business logic layer through the middleware; The business logic layer realizes the interaction with the database through the data access layer, and realizes different distribution modes based on different scenarios through operation, so as to ensure the safety of the data and the pertinence of the data distribution; In addition, the invention introduces a version mechanism, so that the administrator and the business system can trace the master data of the prepared version and understand the changing process of each attribute of the master data.

Description

Technical field [0001] The invention relates to the field of enterprise data management, in particular to an enterprise master data management platform. Background technique [0002] The conventional master data platform mainly adopts SOA architecture, integrated with mature workflow engine and data distribution interface or data integration middleware. Functions include source system data extraction, data conversion, data and master data routing, master data sharing and distribution, master data operation process definition and monitoring. However, conventional master data platforms often have the following disadvantages: [0003] 1) The workflow engine is single, or only supports its own simple process control mechanism; [0004] 2) There is a single data distribution and sharing model, and even directly opening the database to a third-party system, causing hidden dangers to data security; [0005] 3) The main data lacks time dimension management, and the distributed data is alway...

AI Technical Summary

Problems solved by technology

[0003] 1) The workflow engine is single, or only supports its own simple process control mechanism;

[0004] 2) The data distribution and sharing mode is single, and even the database is directly opened to a third-party system, which poses hidden dangers to data security;

[0005] 3) There is no time dimension management for master data, and the distributed data is always the latest data;

[0006] 4) The distributed data is basically static data, and the business system only knows the result of the data change

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