Skills Inventory De-Identification with anonym.plus

Strip the names from a skills database before it feeds workforce planning.

Skills inventory de-identification is the removal of identifiers from a workforce skills database so no one is named. GDPR Recital 26 puts anonymous data beyond the rules. anonym.plus marks each name on your device, so the skill coverage stays clear while staff stay private.

When this applies

A planner models capacity from a skills database. You strip the names first, so the extract meets Recital 26 before the model runs.

How anonym.plus handles it

  1. Open the database extract in anonym.plus on your device.
  2. Local OCR reads a scanned skills matrix.
  3. The tool flags names and contact fields.
  4. Confirm the flags and keep the skill tags.
  5. Replace each name with a steady code.
  6. Save the clean extract locally.

What you need to provide

PII entity types detected

Categoryanonym.plus entity typeExample
NamesPERSONHugo Brandt → EMP_22
ContactEMAIL_ADDRESSh.brandt@firm.com → [EMAIL]
ContactPHONE_NUMBER(030) 555 8841 → [PHONE]
OrgORGANIZATIONCloud Guild → [TEAM]
LocationLOCATIONHamburg hub → [SITE]
DemographicNRPcontractor pool → [GROUP]

Compliance achieved

Anonymize skills inventories offline — see plans & start free →

Limitations & cautions

A rare skill held by one person breaks anonymity. The unique tag points back to that staffer even with no name. Bucket or suppress one-of-a-kind skills before sharing.

Frequently asked questions

Can a unique skill tag identify a person?

Yes. If one staffer holds a rare skill, the tag traces to them, which Recital 26 treats as non-anonymous. Bucket rare tags.

Does it keep the skill tags?

Yes. Only names and contacts are coded, so the coverage data stays intact for planning.

Is the extract uploaded?

No. The app is fully offline, so it stays on your device.