| Big data,represented the new generation of information technology,it can support the prediction of future business in the changeable environment.After the "Internet + Tax" began to appear,big data technology brings new development opportunities for enterprises to warn tax risk.Since the policy of "replacing business tax with value-added tax" started on May 1,2016,various tax policies have been changed successively,which has a great impact on the development of enterprises.The operation of real estate enterprises is complicated,in the accelerated process of tax information,the establishment of an enterprise tax risk pre-warning mechanism is conducive to reducing the tax risk of enterprises.Combined with big data mining and analysis technology,this paper extracts and processes massive data for tax risk pre-warning mechanism research.With the help of big data mining and analysis technology,this paper takes S real estate enterprise as the research object,2,720 index elements(index elements)and forty-two indicators were selected to analyze warning pre-mechanism,and ten main indicators were extracted through the principal component analysis of big data technology to establish pre-mechanism model.By using pre-warning model,the author analyzes the impact of various factors on tax risk in a sequential manner.According to pre-warning model,ten indicators are analyzed in a series.By setting the warning interval value,the influence degree of the main indicators on tax risk is analyzed in detail to achieve the effect of effective risk identification and pre-warning mechanism.In the supporting suggestions for improving the warning mechanism,measures such as enhancing the awareness of risk management,strengthening internal control management,strengthening the sharing of tax information,and strengthening the construction of data platform are conducive to the application of the tax risk warning mechanism. |
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