Data standardization analysis method and system for small and medium-sized insurance enterprises

Abstract

The invention discloses a data standardization analysis method and system for small and medium-sized insurance enterprises, and the method comprises the following steps: S1, carrying out the preprocessing of original data: carrying out the filling of some incomplete data in the original data, and cleaning problem data; S2, after data is cleaned, standardizing data according to an XBRL-GL data standardization protocol, and then storing the standardized data;; S3, analyzing the stored data based on a machine learning method, and displaying the analysis result. According to the data standardization analysis method and system can provide more visual, accurate and reliable data standardization analysis service for enterprises, data nodes are opened up for the enterprises, data isolation is eliminated, meanwhile, the data utilization rate of small and medium-sized insurance enterprises is increased, and the data analysis threshold is lowered.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a data standardization analysis method and system for small and medium-sized insurance companies. Background technique [0002] Existing small and medium-sized enterprises have multiple production systems, and the data formats of different production systems are inconsistent, and the data of different production systems represent the specific conditions of different business lines. The data flow between different systems cannot be connected, and there is no unified specification to integrate all production data. It is extremely inconvenient for managers to retrieve the corresponding data, and it is impossible to connect the data flow behind the entire business flow. There is data isolation between each production system, forming a data island. [0003] With the advent of the Industry 4.0 era, modern society has entered an era of explosive growth of information. The historic...

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Problems solved by technology

[0003] With the advent of the Industry 4.0 era, modern society has entered an era of explosive growth of information. The historical data accumulated by enterprises and newly generated data are growing rapidly. At the same time, there is huge value hidden behind these massive data. For small and medium-sized insurance companies It is particularly important for data integration and analysis, but currently there is no data processing and analysis platform for small and medium-sized insurance companies. This platform can help companies standardize data and then perform data analysis and display the results of data analysis to Users, relying on a single relational database and the current production systems can no longer meet the requirements of modern enterprises for data integration and opening up data nodes, and need to apply big data technology to store massive data

For example, financial data and business data of some enterprises belong to different systems, but financial data is often associated with business data. It is difficult to associate them with the existing data structure, and they are often presented to management in separate forms. decision makers

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