Data analysis device and data analysis method based on dynamically expandable analysis factors

Abstract

The invention provides a data analysis device and a data analysis method based on dynamically expandable analysis factors. The data analysis device based on the dynamically expandable analysis factors comprises a configuration module, a data extraction module, an analysis factor calculation module, a data analysis and processing module and an analysis result output module. By the aid of the data analysis device and the data analysis method based on the dynamically expandable analysis factors, expansion is easy, instantaneity and accuracy can be guaranteed, and systematic operating efficiency and performance can be enhanced.

Description

technical field [0001] The present invention relates to a data analysis device and method, more specifically, to a data analysis device and method based on dynamically expandable analysis factors. Background technique [0002] At present, with the increasing demand for information and data processing and the increasing variety of businesses in different fields, data analysis based on dynamically scalable analysis factors (that is, various analysis elements used in data analysis) has become more and more important. [0003] Generally, the basic principles of existing data analysis methods and devices based on analysis factors are as follows: extract raw data from data sources; Data model and calculate various analysis factors at the same time; build an analysis model based on the analysis factors and according to preset rules (the rules are pre-determined based on each application requirement) and calculate the analysis results; transmit the analysis results to the applicatio...

AI Technical Summary

Problems solved by technology

[0004] However, as business types become more and more abundant, more and more analysis factors need to be used in data analysis, and data analysis rules based on specific application requirements change more and more frequently, so it is necessary to frequently analyze factors and data Analysis rules are dynamically adjusted

Therefore, the above-mentioned existing technical solutions have the following problems: when the analysis factor needs to be expanded (that is, when the data analysis rule needs to use a newly added analysis factor), if the analysis factor is not within the range of the preset analysis factor, it cannot be analyzed according to the If the pre-set analysis factors are obtained through simple calculations, the system code must be manually modified, which cannot meet the real-time requirements of the system; at the same time, this method consumes more time, thus increasing maintenance costs, and because the process is cumbersome and easy to Errors reduce the work efficiency and performance of the entire system; in addition, when the data analysis rules need to be changed, the system code must also be manually modified

Images