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Speakers Vrije Universiteit Amsterdam
- Prof. dr. Albert Bomer (VU Amsterdam, Tilburg University)
- Katarzyna Anna Fras LLM (VU Amsterdam, Tilburg University)
- Roderick Lucas MSc (VU Amsterdam, Tilburg University, Moonlit ai)
- Arnold Roza RA (PwC)
- Willem-Jan van Veen LLM (Ministry of Finance, tax legislation OECD, Netherlands)
- Jasper van Schijndel LLM (PwC)
Introduction: Big Data Process
Prof. dr. A.H. (Albert) Bomer
In the inaugural session, we will present an overview of the Big Data process, delineated into three essential phases: data collection, data analysis, and data utilization. Each phase will be systematically defined and broadly described during this session. Detailed exploration and expansion of the specificities inherent to each phase will follow throughout the remaining two days of the program. During this session, participants will gain insights into the initial two phases: data collection and data processing.
Legal protection and collecting tax data
Prof. dr. A.H. (Albert) Bomer, K.A. (Kat) Fras LLM
The EU has implemented a comprehensive array of reporting requirements, encompassing VAT with regulations such as SAF-T, DAC7, CESOP, ViDA, and e-invoicing-based reporting, as well as corporate tax obligations including Country-by-Country reports, Pillar II, Mandatory Disclosures rules, and the exchange of rulings. Beyond taxation, tax authorities in the EU also gather publicly available data, sourced from the internet. Furthermore, reporting obligations extend to the Environmental, Social & Governance (ESG) set of standards, such as the Corporate Sustainability Reporting Directive, Global Reporting Initiative (GRI), and GRI 207. This session delves into the legal framework underpinning these obligations, exploring potential conflicts and legal safeguards for taxpayers. It encompasses an examination of the General Data Protection Regulation (GDPR), European Convention on Human Rights (EHCR), and general principles of EU Law, and integrates illustrative examples from case law in Member States. Participants will gain a nuanced understanding of the legal landscape governing these obligations and the protective measures available for taxpayers, providing valuable insights into navigating the complex regulatory environment.
Data collecting for corporate tax and ERP Systems
J. (Jasper) van Schijndel LLM
This section delves into the detailed landscape of corporate tax reporting obligations, shedding light on key aspects such as Country-by-Country (CbC) reporting, Pillar II, and transfer pricing. We provide an in-depth exploration of the legal requirements underpinning these obligations. Shifting our focus, we then navigate the area of data processing essential for meeting these mandates, with a specific emphasis on the utilization of Enterprise Resource Planning (ERP) systems. We demystify the functioning of ERP systems and offer practical guidance on leveraging them effectively to ensure compliance with corporate tax reporting. additionally, we discuss best practices and potential challenges in deploying ERP systems for optimal results in meeting these obligations. Participants will learn actionable strategies for harnessing ERP systems to enhance their corporate tax reporting compliance, addressing both the nuances and common challenges in the process.
Real time reporting and ERP Systems
A. (Arnold) Roza RA and prof. dr. A.H. (Albert) Bomer
In this detailed session, we'll explore how real-time reporting impacts VAT and e-invoicing. Our main goal is to explain how ERP systems can effectively handle the requirements of this reporting landscape. Participants will gain practical insights into how real-time reporting specifically influences ERP systems, especially in terms of technology. We'll discuss how different settings within these systems significantly shape the outcomes of financial reports. The overall aim of our discussion is to provide a clear and easy-to-understand picture of how real-time reporting, VAT compliance, and the essential role of ERP systems intersect in this dynamic and evolving field. Participants will discover practical strategies to make the most of ERP systems, ensuring they smoothly adapt to the requirements of real-time reporting and VAT compliance.
The use of LLM in Tax
L.W. (Roderick) Lucas MSc
Large Language Models (LLMs), like ChatGPT, are powerful tools that can generate sophisticated text, graphics, and computer code. They're based on a technology called the transformer model. As they become more prevalent in tax-related work and in our daily lives, it's essential to understand how they function—their strengths and their limitations. LLMs are digital tools capable of understanding and creating content with depth and complexity. However, like any tool, they have their boundaries. Understanding these limitations is crucial, especially in the context of tax-related tasks. As these models continue to advance, our awareness of what they can and cannot do will be key to effectively utilizing them in our work and everyday interactions. In this session, we present use cases illustrating how Large Language Models (LLMs) can be employed in the field of tax. From automating routine tasks to enhancing data analysis, the aim is to explore how LLMs streamline processes and bring efficiency to tax-related workflows. Participants will gain valuable insights into the tangible benefits these models offer for navigating the complexities of tax-related challenges.