Consolidating Pillar Two data from across the business
Albert Lee, EY Global and Asia-Pacific Tax Technology and Transformation Leader, says that MNEs faced with scores of new data points to collect will need to carry out gap analyses, interrogating their systems before they formulate a holistic plan to plug holes. One approach would be to manually calculate or derive missing information using existing data points. While this might work in theory, in practice this retrospective approach would almost certainly be too slow, too expensive and would most likely produce low-integrity data.
“The amount of data and the frequency of reporting required by Pillar Two means that you simply can’t do this data work offline using spreadsheet workarounds. It’s impossible,” says Lee. “If you attempt to do that, you’ll end up chasing your tail.”
Viewed in this way, it becomes clear that Pillar Two reporting is essentially a data challenge that can be best solved through the use of technology and automation. And when tax data is automatically sensitized at source, this not only solves the Pillar Two challenge, it also sets in place the data rails needed to automate a wide range of other tax-related reporting challenges – from tax returns and country-by-country reporting (CbCR), to total tax contribution figures, which are likely to feature in nascent ESG reporting.
Sveinung Baumann-Larsen, EY EMEIA Tax Technology and Transformation Leader, points out that the Pillar Two challenge cannot be tackled successfully without closer integration between finance and tax. This is because tax data is usually generated within the finance function, he explains, and so, in order to sensitize tax data at source, it is necessary to embed tax calculations into level two and three financial accounting processes. This enables the master data to flow downstream so that it can then be extracted for reporting purposes.
To add to this complexity, many companies may also need to develop two processes around Pillar Two – one for quarterly forecasting based on the concept of materiality and a second based on compliance. These parallel processes raise issues around reconciliation.
The role of ecosystem applications
Rather than taking the risk of trying to change existing mission-critical IT systems, Baumann-Larsen says that ecosystem applications, which sit on top of data warehouses, accounting, consolidation and planning systems, are highly effective at calculating, allocating and enriching critical tax data. This sensitized tax data is then posted back to the accounting system, or into a data warehouse, to ensure auditability.
“A lot of people believe that the tax function is accountable for the execution of this reporting, but it’s not,” explains Baumann-Larsen. “The tax director’s role is to ensure that the head of the accounting and finance function understands the requirements of BEPS 2.0 and embeds these requirements into their financial procedures and systems. The tax function is more of a gatekeeper which defends the company’s position when it comes to reporting.”
Due to the cost and complexity involved, companies rarely embark on digital transformation programs purely for tax reasons. The tax reporting challenges created by BEPS 2.0, however, are so exceptional that they give organizations already engaged in the transformation of their finance, commercial, procurement and/or operations functions a compelling business case to go one step further and sensitize their tax data at source.
“The drive for BEPS compliance gives us an opportunity to create a more integrated and intelligent finance and tax function,” Lee says. “If you fix the upstream data and create a data consolidation platform, the benefits will extend beyond BEPS 2.0 and enable organizations to automate and future-proof all sorts of tax- and finance-related reporting.”
The next steps towards Pillar Two compliance
With Pillar Two go-live expected to take place during 2024, Lee says MNEs should waste no time designing their tax reporting policies. The following steps will help inform this process:
- Perform a high-level calculation, adopting a risk-based approach to country-by-country tax modeling to ascertain if operations in individual jurisdictions fall below the minimum ETR and are liable for a top-up tax. This should be an iterative process, with countries more likely to fall into that category coming first.
- Carry out a gap analysis, interrogating existing systems to determine which data points are already available and which need to be generated.
- Identify the appropriate way to sensitize new data points at source.
- Take the opportunity to sort out tax systems by creating a comprehensive roadmap and business case.