Redundancy selection de-identification is the removal of names from a scoring matrix checked against the Equality Act 2010, which makes age a protected characteristic. A fairness review compares scores across those selected and retained, often by length of service. anonym.plus marks the names on your device, so each figure and score stays while the people are shielded.
When this applies
A selection matrix shows scores, job titles, and dates of birth for the pool. You strip the names but keep the columns a fairness review needs.
How anonym.plus handles it
- Open the matrix in anonym.plus on your device.
- The tool flags names while leaving the scoring columns.
- Local OCR reads a scanned spreadsheet page.
- Keep the figures and titles the fairness review uses.
- Swap each name for a steady label.
- Save the clean matrix locally.
What you need to provide
- The selection matrix (XLSX export, PDF, CSV).
- An operator (Replace keeps the table aligned).
- Optional allow-list for the score and date columns.
PII entity types detected
| Category | anonym.plus entity type | Example |
|---|---|---|
| Names | PERSON | pool member → [WORKER] |
| Dates | DATE_TIME | age 54 → 54 (kept) |
| NRP | NRP | job title → [TITLE] |
| Identifiers | NATIONAL_ID | staff no. 90213 → [STAFF_ID] |
| Organisation | ORGANIZATION | department → [DEPT] |
| Contact | EMAIL_ADDRESS | work email → [EMAIL] |
Compliance achieved
- Supports a fairness check under the Equality Act 2010 (age).
- Strips names while the pool stays comparable for review.
- Offline work keeps the selection data off any server.
Anonymise redundancy selection records offline — see plans & start free →
Limitations & cautions
A fairness review needs the figures and scores, so removing them would defeat the check. Yet a rare title plus a date of birth can re-identify one person. Band or group small cells where the review allows.
Frequently asked questions
Why keep these figures on a selection matrix?
An age-discrimination check under the Equality Act 2010 needs the dates of birth and scores of those selected and retained. anonym.plus removes names but leaves those fields.
Can a date of birth plus a title still identify someone?
Yes, in a small pool. Where the review permits, band the figures or group rare titles so one row cannot name a worker.
Is the matrix processed in the cloud?
No. The whole run is offline, so the data stays on your device.