Decision Making and Reduction Techniques for Tax Revenue using Data Warehouse

G.D.K.Kishore; B.Anusha; G.Poornima; G.Anusha; K.Tejaswi

doi:https://doi.org/10.14445/22315381/IJETT-V3I1P205

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Volume 3 | Issue 1 | Year 2012 | Article Id. IJETT-V3I1P205 | DOI : https://doi.org/10.14445/22315381/IJETT-V3I1P205

Decision Making and Reduction Techniques for Tax Revenue using Data Warehouse

G.D.K.Kishore , B.Anusha , G.Poornima , G.Anusha , K.Tejaswi

Citation :

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), vol. 3, no. 1, pp. 24-31, 2012. Crossref, https://doi.org/10.14445/22315381/IJETT-V3I1P205

Abstract

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 Online 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 helpful 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 introducing data warehouse and OLAP techniques.

Keywords

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

References

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