Digital Transformation: Optimizing the Regional Tax Audit Process Using the Data Analytics System
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Abstract
The regional tax audit process often faces challenges, such as limited data, time inefficiency, and potential errors in decision making. Therefore, digital transformation using a data analytics system is important to optimize the regional tax audit process. This paper presents how digital transformation in the regional tax audit process using a data analytics system must be carried out. The method used is qualitative descriptive to explain in detail the digital transformation in the regional tax audit process using a data analytics system. The results of the study show that this digital transformation is very necessary in the implementation of regional tax audits. The implementation of a data analytics system will be able to minimize the risk of errors, increase efficiency, accuracy and precision of taxpayer information, transparency, and can provide data-based recommendations that will facilitate and strengthen decision making. This visualization helps in presenting audit results effectively and making decision making faster and more precise