Financial close anonymization is the removal of personal data from a month-end dataset so it meets the anonymity test in GDPR Recital 26. That recital exempts truly anonymous data from the rules. anonym.plus marks each identifier on your device, so the period figures stay while named parties go.
When this applies
The dataset blends ledgers, accruals, and payee lists full of names and accounts. You strip those before the combined set feeds a reporting model.
How anonym.plus handles it
- Point anonym.plus at the month-end folder on your device.
- It scans each file for names, accounts, and contacts.
- Local OCR reads any scanned support page.
- A shared map keeps repeat parties steady across files.
- Turn the map OFF when anonymity must be final.
- Save the clean dataset locally.
What you need to provide
- A folder of period files (CSV, XLSX, PDF, mixed).
- An operator (Replace works across a mixed set).
- The name map turned OFF for final anonymity.
PII & financial identifiers detected
| Category | anonym.plus entity type | Example |
|---|---|---|
| Names | PERSON | payee across files → [PARTY_1] |
| Financial | US_BANK_NUMBER | accounts → [ACCOUNT] |
| Identifiers | US_SSN | contractor SSNs → [SSN] |
| Contact | EMAIL_ADDRESS | emails → [EMAIL] |
| Money | MONEY | accrual $9,900 → [AMOUNT] |
| Org | ORGANIZATION | vendor orgs → [VENDOR] |
Compliance achieved
- Targets the anonymity test in GDPR Recital 26.
- Turn the shared map off so the set cannot be re-linked.
- Whole-folder work stays offline — nothing is uploaded.
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Limitations & cautions
A combined set raises re-identification risk: a rare value across files can single out one party. Keep the map off for final use and review outliers in the joined data.
Frequently asked questions
How does a shared map help at month-end?
It logs each person once, so the same party maps to one alias in every file. Turn it off when you need the result to stay anonymous.
How many files can one run handle?
Up to 20 files per batch, all processed locally with OCR for any scanned support.
Is the dataset uploaded?
No. The whole run is offline, so period data never leaves your device.