Integration of Business Intelligence Tools into Corporate Tax Liability Analysis

Iryna Baranova

Citation: Iryna Baranova, "Integration of Business Intelligence Tools into Corporate Tax Liability Analysis", Universal Library of Business and Economics, Volume 02, Issue 03.

Copyright: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The article examines the integration of Business Intelligence (BI) tools into the processes of managing corporate tax liabilities. Its relevance derives from the increasing complexity of tax regulation and the necessity to improve the transparency and efficiency of tax accounting in the context of digitalization. The study’s novelty lies in its systematic presentation of BI platform applications for transforming tax analytics, identifying anomalies, automating reporting and managing tax risks. Within the research framework, the capabilities of BI systems for data processing, visual dashboard construction, scenario modeling and tax burden forecasting are described. Particular attention is paid to use cases for detecting deviations, integrating data from external sources and applying analytics to support tax compliance. The article’s objective is to consolidate the functional advantages of BI in the tax domain and assess their influence on managerial decision-making. A comparative analysis of scholarly publications and empirical case studies serves as the methodological basis. The content will benefit professionals in corporate finance, tax accounting, internal control and digital transformation, as well as BI solution developers seeking to adapt analytical tools for tax compliance and automated forecasting.


Keywords: Business Intelligence; Tax Analytics; Tax Liabilities; Data Visualization; Tax Risk; Dashboards; Outlier Detection; Tax Planning; Reporting Automation; Digital Transformation.

Download doi https://doi.org/10.70315/uloap.ulbec.2025.0203012