Transfer-Pricing
5 posts tagged with "Transfer-Pricing"
- Apr 7, 2024
Navigating the AI Frontier in Transfer Pricing: a Brief Case Study
Disclaimer: The views and opinions expressed on this blog are strictly my own and do not reflect those of any past or current employer. The content provided here is for informational purposes only and is not intended to represent the strategies, intentions, or opinions of any organization that I am or have been associated with. The use of artificial intelligence (AI) permeates many facets of our lives and work. Here I explore the real-world application of AI in the specialist field of transfer pricing (TP) comparable identification process using KPMG’s recent patent (US 11720842 B2 “System and Method for Identifying omparables”).
- Nov 27, 2020
Technology for Transfer Pricing (đź—žpublished)
This article is published on Bloomberg Tax 17 Jun 2021. My tax technology journey starts with transfer pricing (“TP”) given much of the TP work involves tailored data analytics and visualisation. For technical correspondence with tax authorities, I also provided econometric based statistical analyses. For multinational companies, TP is a highly visible area of tax with governments agreeing to exchange data and hence many potential technology applications. It is therefore desirable to establish a modern data-driven TP management in-house with a systematic overarching design.
- Oct 17, 2020
Peeking into the Giants: Analysing the ADIMA Database (đź—žpublished)
This blog was first published on medium.com and Analytics Vidhya News Bytes This blog examines the Analytical Database of Individual Multinational Enterprises (MNEs) and their Affiliates (ADIMA) dataset from OECD to understand the structure and presence of the top 100 MNEs of our time across the world. Background Visibility of information on Multinational Enterprises (MNEs) has been limited at best despite their significant and growing importance in our daily lives as well as public policy area.
- Oct 9, 2018
Data Visualisation in Tax
Tax and finance teams use an excessive amount of dashboards. The contents are often limited to simple bar charts and histograms. However, tax data is multi-dimensional which means the simple two-dimensional representations may no longer be sufficient. I believe modern data visualisation in tax should increasingly serve the users with more depth in that it could allow users to: interact with data, explore and tell a story from the data, and/or; directly enable an action point from the visualisation I explain this thinking with an example in transfer pricing below.
- Dec 12, 2017
CBCR Analysis
Background OECD’s BEPS project Action 13 provides a template for multinational enterprises (“MNEs”) to report annually and for each tax jurisdiction in which they do business the information set out therein. This report is called the Country-by-Country Report (“CBCR”). The CBCR template requires two tables of MNEs’ financial and operational information. Exploratory data analysis In the first year of submitting CBCR, I wanted to use Python instead of Excel to see how one may get more insights from the data collected in CBCR.