Russo, Ronald --- "Data science and taxation" [2018] ELECD 1447; in Mak, Vanessa; Tjong Tjin Tai, Eric; Berlee, Anna (eds), "Research Handbook in Data Science and Law" (Edward Elgar Publishing, 2018) 304

Book Title: Research Handbook in Data Science and Law

Editor(s): Mak, Vanessa; Tjong Tjin Tai, Eric; Berlee, Anna

Publisher: Edward Elgar Publishing

ISBN: 9781788111294

Section: Chapter 13

Section Title: Data science and taxation

Author(s): Russo, Ronald

Number of pages: 18

Abstract/Description:

This chapter looks at data science in the field of taxation, with an emphasis on the taxation of companies. The focus is on the point of view of companies as well as tax authorities. The former are affected by data science in relation to their financial accounts; and the quality thereof by the functioning of their internal auditing system. This then provides the input for financial accounts and tax accounts. The tax accounts a company maitains are discussed in this chapter as well as how data science – in particular in managing data – may relate to these tax accounts. Secondly, this chapter looks at the role of tax authorities and how the emerging field of data science impacts their work. Here too the wealth of information that reaches these authorities requires managing. The legal boundaries in which the authorities may make use of this data are discussed in this chapter as well. Finally, the contribution looks at, and provides comments on, the Intra-European Organization of Tax Administration’s 2017 report on data science and taxation, which discusses, among others, data management, predictive modelling, social network analysis and data visualization.