Data Anonymisation from Wizuda enables you to Simply and Effectively Anonymise or Pseudonymise Data.

Data Anonymisation

What is Data Anonymisation?

Data anonymisation is a form of information sanitisation in which data anonymisation tools encrypt or remove personally identifiable information. This is done by deleting or encoding identifiers linking the person with the data that is being stored.

User Friendly

Personal data is any data that could be attributed to an individual such as names, addresses, telephone numbers, credit card information, location information etc. Wizuda’s Data Anonymisation makes it easy to apply anonymisation, pseudonymisation and removal techniques to any structured data, enabling you to process personal data in compliance with the GDPR. Built with a user-friendly interface that leaves the complexity in the background, users can import a file and easily remove any personal data by selecting from a range of options built into the system. 

We make it easy

Wizuda simplifies Data Anonymisation by quickly and easily removing personal or sensitive information without having to use separate data transformation tools.

1.  Import the file you need to minimise.

Anonymisation vs Pseudonymisation

Data Anonymisation

Anonymised Data

Techniques such as blanking, masking and/or hashing can be applied to your data to anonymise it.


Pseudonymised Data

Replacements: change names or addresses using either random or consistent replacements from in built lists of data taken from census data. Apply statistical distribution for additional security.

Numbers: round numbers up or down and/or apply caps.



Filtering allows you to remove content, rows or columns.

Did you know?

Data that is irreversibly anonymised is no longer deemed personal data and therefore is not subject to GDPR.

Pseudonymisation is a key part in Data Protection By Design.

Pseudonymisation replaces personal identifiers with pseudonyms and while the personal data is still deemed identifiable, the level of difficulty in the reidentification is taken into consideration in the case of a data breach.

The GDPR encourages pseudonymisation of data as a risk based measure for improving data security.

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