A data processing system for regulation and articulation

Abstract

The invention discloses a data processing system for regulation and articulation. The data processing system comprises a basic platform layer, a data resource layer, an application support layer, a system application layer and a display layer. The system application layer comprises a data acquisition subsystem which is used for acquiring basic data to obtain articulation data; the target subsystemis used for dynamically monitoring an actual value of the articulation data and comparing the actual value with a target value of the articulation data to determine a difference value between the actual value and the target value; the archive subsystem is used for determining and storing articulation data and sending the articulation data to the risk early warning subsystem after detecting abnormal data; the risk early warning subsystem is used for monitoring the abnormal data and carrying out risk analysis and early warning; the performance subsystem is used for generating performance data of the user; and the decision analysis subsystem is used for carrying out real-time statistical analysis on the articulation data and generating an analysis report. According to the method and the system, the acquired data is subjected to systematic statistical analysis, and the identified risk items are identified and processed, so that the risk in the regulation and articulation process is reduced.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a data processing system for fee collection. Background technique [0002] With the continuous development of the fee collection business, the monitoring and data analysis of the fee collection is becoming more and more important. Through monitoring and data analysis, the collection behavior can be effectively regulated and the work process can be optimized. Although there are some data analysis systems in the existing technology, but It is difficult for these data analysis systems to adapt to the collection data obtained from the fee collection work; [0003] Due to the lack of a data processing system specifically for fee collection, it is difficult to achieve timely interaction and sharing of the data that needs to be stored and acquired during the fee collection process. Therefore, the charging management system in the prior art makes the work efficiency of fee collec...

AI Technical Summary

Problems solved by technology

[0002] With the continuous development of the fee collection business, the monitoring and data analysis of the fee collection is becoming more and more important. Through monitoring and data analysis, the collection behavior can be effectively regulated and the work process can be optimized. Although there are some data analysis systems in the existing technology, but It is difficult for these data analysis systems to adapt to the collection data obtained from the fee collection work;

[0003] Due to the lack of a data processing system specifically for fee collection, it is difficult to achieve timely interaction and sharing of the data that needs to be stored and acquired during the fee collection process. Therefore, the charging management system in the prior art makes the work efficiency of fee collection It is not high and cannot systematically analyze a large amount of data obtained during the fee collection process, making it difficult for users to make correct decisions, and even makes the fee collection process a great risk

Images