Tax Risk Pre-warning Research Of X Real Estate Enterprise Based On Big Data Analysis

With the rapid rising of housing price and the development of social legislation,nowadays governments and society pay more and more attention to the real estate industry,which is the important pillar of national economy.The real estate industry has a long production phase,and complex commercial activities.Lots of relevant tax risk points exist not only in the links of land acquisition,project design and construction,house selling and project liquidation,but also in the management of taxation,such as Value Added Tax,Corporate Income Tax,and Land Value Increment Tax.All of these bring new requirements to the tax risk management of real estate industry,and give birth to the system of risk pre-warning.With the approaching of big data age,the technologies of data store and data analyses are blossoming rapidly.Enterprises can conduct,purify and apply their data by reliable mining algorithm and technology.Therefore,how to discover the tax risk of real estate enterprises scientifically and effectively through the inspection of micro-data is a valuable question deserving research.This thesis expresses the content in the manner of case study.We take the enterprise of X as an object,and analyses the defects of tax risk pre-warning system based on the existing tax risk points of X enterprise under the aspect of data analyses.We follow the thinking of data preparation,indicator system formation,and model establishment,and collect the relevant data from the real estate industry,filtrate three kinds of indicators such as general indicators,tax indexes,and relevant contrastive analysis indicators.By using the methods of Principal Component Analysis,the decision tree classification analysis,we establish the tax risk pre-warning model base on the inspection of KNN and LOF outlier detection.The model can pre-warn the tax risks of real estate industry from different dimension,and compare the predict results of different analysis methods and various algorithm.It also can give us some relevant suggestions on implementation and improvement.Aiming at some important industries such as real estate,if we bring the method of big data analysis into the research of tax risk pre-warning system,and scientifically establish the pre-warning model to predict the tax risk timely,accurately and dynamically,it will not only enrich the theory and technology of risk pre-warning,but also will provide new thinking about the tax risk management to enterprises.Pre-warning model will help corporate to analyze tax risk deeply by turning the caution after the event to the prediction before it happen,turning the rough estimate to accurate measure,and turning the artificial judgment toscientific analysis.Under such circumstances,we will effectively low down the tax risk of corporate,rise the competitiveness,and realize the enterprise value maximization from taxation aspect.