For Cross-Border DD

Multiple jurisdictions. Multiple GAAP. One standardized output.

Cross-border deals multiply complexity: different accounting standards, local charts of accounts, multi-currency data, and intercompany tangles. Datapack normalizes it all into one consistent analytical structure.

Sound familiar?

Different accounting standards per country

IFRS, US GAAP, local GAAP — each jurisdiction has its own accounting treatment. Manual harmonization is slow and error-prone.

Multi-currency normalization

Revenue in EUR, costs in GBP, debt in USD. Currency normalization across periods and entities adds another layer of complexity.

Local chart of accounts variation

Each country subsidiary uses a different chart of accounts structure. Mapping to a consolidated view is a multi-day exercise.

Intercompany complexity

Cross-border intercompany transactions across dozens of entities. Transfer pricing, management fees, and intercompany loans obscure the real economics.

Measurable impact on every deal

Datapack directly improves the metrics your partners care about most: realization, utilization, and margin per deal.

4–0h
Saved per Deal

On average mapping and cleanup time

+0%
Realization Rate

Improvement across fixed-fee engagements

0x
Deal Throughput

More deals delivered with the same team

0%
Audit-Ready

Full traceability on every number

Trusted by deal teams

Transaction Services professionals on how Datapack improved their delivery.

A 15-entity cross-border deal used to mean three weeks of data normalization. Datapack cut that to days.

James Park

James Park

Senior Manager, M&A, Advisory Firm

Frequently asked questions

One standardized output. Any jurisdiction.

Normalize cross-border financial data across GAAP treatments, currencies, and entity structures. Full audit trail.