Data management implementation method based on data management platform, and data management platform

Abstract

The embodiment of the invention relates to the technical field of data processing, and discloses a data management implementation method based on a data management platform, and the data management platform. The method comprises the following steps: receiving task distribution information sent by a task distribution terminal by the data management platform; distributing to-be-processed tasks to task receiving terminal users according to user information; allowing the task receiving terminal users to obtain the to-be-processed tasks; receiving task processing results returned by the task receiving terminals corresponding to the task receiving terminal users; sending the task processing results to a task distribution terminal user corresponding to the task distribution terminal for auditing, and receiving auditing results of the task processing results returned by the task distribution terminal; and when it is determined that the auditing results of the task processing results are qualified, recording the task processing results in a database for storage. By implementation of the data management implementation method provided by the embodiment of the invention, unified and transparent management and monitoring of data outsourcing are realized, and the security and stability in a data delivery process are improved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method for implementing data management based on a data management platform and a data management platform. Background technique [0002] Data outsourcing refers to the outsourcing of basic, common and non-core information technology (Information Technology, referred to as IT) business and IT-based business processes originally provided by the enterprise in the value chain to external enterprises. Outsourcing suppliers to complete, through restructuring the value chain, optimizing resource allocation, reducing costs and enhancing core competitiveness. [0003] In the existing operation process of data outsourcing, enterprises exchange data with outsourcing suppliers through mailboxes or some social software (such as QQ developed by China’s Tencent), including the distribution of tasks by enterprises to outsourcing suppliers, and the outsourcing suppliers will complete ...

AI Technical Summary

Problems solved by technology

[0003] In the existing operation process of data outsourcing, enterprises exchange data with outsourcing suppliers through mailboxes or some social software (such as QQ developed by China’s Tencent), including the distribution of tasks by enterprises to outsourcing suppliers, and the outsourcing suppliers will complete The task is handed over to the enterprise, etc. Generally, the person in charge is required to perform manual operations. The operation is cumbersome and scattered, which is not conducive to the management and monitoring of the entire business chain by the enterprise.

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