Compensation Review De-Identification with anonym.plus

Strip identifiers from a comp review so calibration data stays anonymous.

Compensation review de-identification is the removal of personal identifiers from a calibration record, working toward the standard in GDPR Recital 26. anonym.plus marks each name and figure on your device, so reviewers see the spread while no individual is named.

When this applies

A review sheet ties each worker to a rating, a band, and a proposed raise. You strip those identifiers before the sheet circulates for calibration.

How anonym.plus handles it

  1. Open the sheet in anonym.plus on your device.
  2. The tool flags names, ratings, and raise figures.
  3. Local OCR reads a scanned grid if present.
  4. Confirm the flags and keep band columns intact.
  5. Swap or black out the marked items.
  6. Save the anonymous file locally.

What you need to provide

PII entity types detected

Categoryanonym.plus entity typeExample
NamesPERSONPriya Nair → [STAFF_1]
FinancialMONEYraise $4,000 → [AMOUNT]
IdentifiersUS_SSNstaff SSN → [SSN]
OrganizationORGANIZATIONSales unit → [TEAM]
DatesDATE_TIMEcycle 2026 → [DATE]
LocationLOCATIONregion label → [REGION]

Compliance achieved

Anonymize compensation reviews offline — see plans & start free →

Limitations & cautions

A unique rating plus a small team can still single a person out. The tool flags named items. Aggregate thin cells before reviewers see the spread.

Frequently asked questions

Why de-identify a calibration sheet?

It lets reviewers judge the spread without bias toward named people. Recital 26 guides the anonymity you aim for.

Can I keep the band columns?

Yes. Only personal identifiers are marked. Bands and ratings stay so the analysis holds.

Is the sheet uploaded?

No. The app is offline, so review data stays on your device.