Data anonymization is a type of information sanitization whose intent is privacy protection. It is the process of removing personally identifiable information from data sets, so that the people whom the data describe remain anonymous.

Why do we Anonymise data?

The purpose is to eliminate some of the identifiers while retaining a measure of data accuracy. Data swapping—also known as shuffling and permutation, a technique used to rearrange the dataset attribute values so they don't correspond with the original records.

Is there a word Anonymised?

a·non·y·mize

To make anonymous, especially by removing or preventing access to names: medical records that were anonymized for use in a study.