DocumentCode
2838786
Title
Information analysis and decision system for tax revenue based on Data Warehouse
Author
Yang, Guoxia ; Wu, Chunying
Author_Institution
Inst. of Inf. Sci. & Eng., HeBei Univ. of Sci. & Technol., Shijiazhuang, China
Volume
6
fYear
2010
fDate
22-24 Oct. 2010
Abstract
Tax information system has been developed for many years. Most of the tax management systems that are using now belong to services-faced system. After being used many years, there accumulated a lot of historical data, but most of this data are decentral, static and low aposteriori. This data hasn´t been filtered, abstracted, analyzed and predict. They can´t supply information support to the leader and has no function of tracking and monitoring to the changing of tax source. In order to solve the problem that has been existed, On the basis of analyzing the taxation information management system, this paper introduces the structure of a tax information decision and analysis system based on data warehouse and the OLAP, discusses the conceptions, techniques and developing prospect of Date Warehouse and OLAP, introduces a method for developing OLAP taking a certain tax- checking system, and discusses the integral frame, functional modules and technical difficulties of this system. It has been used in HeBei Taxation Bureau, practice has proved that it´s useful to improve the efficiency of tax operation.
Keywords
data mining; data warehouses; information analysis; information management; taxation; HeBei Taxation Bureau; OLAP; data warehouse; decision system; functional module; information analysis; integral frame; service faced system; supply information support; tax checking system; tax management system; tax revenue; tax source; taxation information management; Databases; Monitoring; Protocols; Servers; OLAP technique; Oracle; data warehouse; decision support; taxation revenue;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5620700
Filename
5620700
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