Tools & technology
Tax Data Warehouse
A tax data warehouse is a centralised database designed to store financial, transactional and entity master data in a structure suited to tax and transfer pricing analysis, rather than the transactional structure used by an ERP system. By consolidating data from multiple source systems into one consistent format, a tax data.
Group finance systems often hold data across multiple ERP instances, general ledgers and subsidiary systems using inconsistent chart of accounts structures and currencies. A tax data warehouse extracts and standardises this data into a common format, mapping local accounts to a group-wide taxonomy so transfer pricing.
Once data resides in a warehouse, it can be reused across multiple purposes beyond transfer pricing, including tax provision, country-by-country reporting and Pillar Two calculations, avoiding duplicate extraction efforts for each requirement. This single source of truth approach also improves data governance, since corrections.
In practice
What matters when applying tax data warehouse
- Centralises data from multiple ERP and ledger systems
- Standardises chart of accounts and currency formats
- Single source of truth for tax reporting needs
- Supports transfer pricing, CbCR and Pillar Two together
- Reduces duplicate data extraction effort
Frequently asked
Common questions
How does a tax data warehouse differ from an ERP system?+
An ERP system is optimised for transaction processing, while a tax data warehouse restructures and standardises extracted data specifically for tax analysis, reporting and calculation purposes across multiple entities and jurisdictions.
Can one tax data warehouse support multiple compliance requirements?+
Yes, a well-structured warehouse typically feeds transfer pricing, country-by-country reporting and Pillar Two calculations from the same underlying dataset, avoiding repeated extraction and reconciliation for each separate requirement.
See how the tooling handles this in practice
Our transfer pricing tools calculate intercompany charges, benchmark financing and reconcile the intercompany ledger from your own data. Book a short walkthrough and we will show the workflow on a scenario that matches your group structure, rather than a generic demo dataset.