Decision Making and Reduction Techniques for Tax Revenue using Data Warehouse

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2012 by IJETT Journal
Volume-3 Issue-1                          
Year of Publication : 2012
Authors :  G.D.K.Kishore , B.Anusha , G.Poornima , G.Anusha , K.Tejaswi


G.D.K.Kishore , B.Anusha , G.Poornima , G.Anusha , K.Tejaswi. "Decision Making and Reduction Techniques for Tax Revenue using Data Warehouse". International Journal of Engineering Trends and Technology(IJETT). V3(1):24-31 Jan-Feb 2012. ISSN:2231-5381. published by seventh sense research group


As the tax information system is service faced system in the past few years, there exists a lot of accumulated historical data where it can’t be modified. So, this system failed in tracking and monitoring to the changes of tax source. The data accumulated can be wasted and can’t be used properly at analyzing tax information. Today, the real challenge for tax agencies is to improve the tax collection process and to formulate optimized legislative polices to provide better taxpayer services. The existing Onli ne Transaction Processing (OLTP) systems are not adequate to fulfill the need of complex tax collection analysis. And it is very difficult to come up with the optimized model. To make the best optimized model it has to be built around facts. It will be hel pful to use a Tax Decision Support System to make strategic decisions. To solve this problem, this paper introduces the decision making activities and tax reduction methods for tax revenue. To maintain the effective tax management system, we are introducin g data warehouse and OLAP techniques.


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data warehouse; OLAP technique; decision support system; tax revenue; tax compliance.