Data drilling method and device, server and storage medium

Abstract

The invention discloses a data drilling method and device, a server and a storage medium. The method comprises the following steps: selecting drilling indexes from a determined to-be-drilled text according to a pre-constructed data dictionary, and determining a causal information combination associated with the drilling indexes; determining an arrangement index value of each causal information combination, and sorting each causal information combination according to each arrangement index value; and determining target causal information corresponding to the drilling index according to the sorted causal information combination in combination with a set causal screening strategy. According to the technical scheme, on the basis that the causal information combination of the drilling indexes is obtained based on the data dictionary, the final target causal information is obtained in combination with the causal screening strategy, and compared with the prior art, a set of method capable of automatically analyzing and giving the result reason according to the business data is provided; a powerful reference basis can be provided for a business analyst during business data analysis, so that the accuracy and efficiency of business data analysis can be improved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of data analysis, and in particular to a data drilling method, device, server and storage medium. Background technique [0002] At present, in the business scenario of government services, when analyzing business data, for example, when analyzing the reasons for "why the current number of certificates has suddenly increased", usually, the analysis results are obtained by relying on the experience of business analysts, because the accuracy of the results depends entirely on the analysis The experience of the personnel and the results of the analysis have a certain degree of subjectivity, especially for inexperienced analysts, not only is it more time-consuming and labor-intensive, but the accuracy of the results is also difficult to guarantee, and there is still efficiency in relying on manual analysis of the reasons bottom question. To improve the accuracy of the results, more seni...

AI Technical Summary

Problems solved by technology

[0002] At present, in the business scenario of government services, when analyzing business data, for example, when analyzing the reasons for "why the current number of certificates has suddenly increased", usually, the analysis results are obtained by relying on the experience of business analysts, because the accuracy of the results depends entirely on the analysis The experience of the personnel and the results of the analysis have a certain degree of subjectivity, especially for inexperienced analysts, not only is it more time-consuming and labor-intensive, but the accuracy of the results is also difficult to guarantee, and there is still efficiency in relying on manual analysis of the reasons bottom question

To improve the accuracy of the results, more senior human resources are needed, which has a high labor cost problem

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