Tax Data Analytics

This study examines the application of data analytics in tax administration. The paper describes how data analytics methods such as predictive modeling, data mining, and machine learning have altered the way tax authorities operate by enhancing efficiency and accuracy while decreasing the amount of time and resources required for tax compliance. In addition, the article investigates how big data analytics has enabled tax authorities to scan massive volumes of data, including unstructured data in order to discover potential noncompliance and assess tax risks. The conclusion of the study is that the application of data analytics in tax administration has revolutionized tax administration by increasing compliance, decreasing expenses, and raising overall efficiency. It is anticipated that, as technology continues to improve, the application of data analytics in tax will continue to evolve, thereby boosting the efficiency of tax administration.