Data processing management system facing to process flow

Abstract

The invention provides a management system of data processing for flow, which comprises an interface module, a service module of working flow, a representative module of working flow, an engine of working flow, a working flow module and at least a task processing module, wherein the interface module is used to change the request of the user interface to business event and notice the service module of working flow, the service module of working flow is used to provide uniform working flow service for the various users and call the representative module of working flow when receiving the notice from the interface module, the representative module of working flow is used for the engine of working flow which provides various specific working flows and complete the data conversion between the service module of working flow and the engine of working flow, the engine of working flow is used to deliver task case to the working list of the task executor according to the model of working flow, the model of working flow is used to record the relative information of the business flow, the task processing module, which is linked with the working list, is used to receive activation and complete relative processing procedure of task data. The invention can support large-scale and complex working flow management which is cross organization and quickly adapt for the need of changed business.

Description

technical field [0001] The invention relates to the technical field of multi-process data processing, in particular to a process-oriented data processing management system. Background technique [0002] At present, with the application of computer technology more and more widely, people begin to use applied computers for various data processing to meet the needs of enterprises for the electronicization of business processes. [0003] For example, financial institutions such as banks and securities still have a lot of manual processing in the process of processing some business data. However, manual processing of these business data often leads to the following problems: low work efficiency, running around in various departments in order to issue a contract, and often causing work delays due to the absence of the person in charge; relevant data in the business approval process cannot be effective and unified The management and approval opinions cannot be completely preserved...

AI Technical Summary

Problems solved by technology

However, manual processing of these business data often leads to the following problems: low work efficiency, running around in various departments in order to issue a contract, and often causing work delays due to the absence of the person in charge; relevant data in the business approval process cannot be effective and unified The management and approval opinions cannot be completely preserved and archived; at the same time, it is impossible to carry out effective risk supervision and tracking and statistical analysis of the work efficiency of each link

The characteristics of this type of system are: 1) a menu, sub-menus, and function modules determine a class of business functions, and several tasks in the actual business process cannot be connected into one function; 2) data can only pass through modules Parameters to be passed, but not in the process of business processing; 3) It cannot reflect the business process, only the results of business processing, and cannot provide supporting data for enterprise process transformation

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