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Income Budget Analyzing Of Kunming Telecom Based On Data Warehouse

Posted on:2007-12-26Degree:MasterType:Thesis
Country:ChinaCandidate:D M ZhuFull Text:PDF
GTID:2178360185953689Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
This aims to apply data warehouse and Statistics analyzing method to analyze and predict data of operation income in Kunming telecom on the base of the management analysis system of Kunming Telecom.Aiming at business income budget analysis topic in the this topic research process, the data sampling which have something to do with each business income from the affair center of Kunming telecommunication was extracted. We begin to analyze from several angles carry on to each business income such as time, section, product, business, customers…etc. At last getting development circumstance and trend of each business of income.The data with applied index number smooth method and the estimate method's business to telecommunication in Kunming of the ARIMA model income carries on an estimate in the meantime, and carried on valuation and comparison to each model.Among them, the estimate accuracy of the ARIMA model is high in the index number smooth method which using traditional analysis method of the time series.For the data of seasonal, especially Winter method is unique to get an extensive and applied method in traditional analysis method of the time series.It needs three smooth parameters α,β,γ at the best, value want to carry on many combinations to experiment with make equally absolutely 100 cent error margin(MAPE) minimum.We can synthesize the fluctuation, period of the long-term trend, season variety, random interference while using the ARIMA model to estimate. With model parameter, we can carry on quantity expression. Finaly we make to draw up to match of the remnants differ containment to no longer can be provided to withdraw not and random the composition become a white noise voice, the verification which draws up to match result has conviction theoretically, slicing on the application can go actually.The ARIMA model develops more perfect, identify to the model, draw up to match with the diagnosis examine to all have a more mature method, and that method have the covariance software of development maturity support, such as SPSS, this expansion is very beneficial toward that method application.For business income of telecommunication in practice, using the covariance ories and mathematics method to describe that sequence orientation or the superior data model.It is possible and reasonable to estimate and control.
Keywords/Search Tags:predicating, time series, index smoothness method, ARIMA sequence model
PDF Full Text Request
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