Anonymised Data

Anonymised data refers to personal information that has been altered or transformed in such a way that it can no longer be linked to an individual. This process ensures that the data does not reveal the identity or any specific characteristics of the individuals involved. Anonymisation is typically achieved by removing or modifying identifiable elements like names, addresses, social security numbers, and other unique identifiers. The objective of anonymising data is to protect the privacy and confidentiality of individuals while enabling the use and analysis of the information for research, statistical analysis, or other purposes. By anonymising data, organizations can uphold privacy regulations and ethical principles while still benefiting from the insights and utility of the information.

Try it yourself

Take a firsthand look at our our tried-and-true AI-powered products.

See demos

Discover Our Solutions

Exploring our solutions is just a click away. Try our products or have a chat with one of our experts to delve deeper into what we offer.


Unlock More Insights


2022 Deloitte Technology Fast 500™ Ranks Microbl…

Esteemed group includes global, award-winning, SaaS company with industry-leading number of custome…

Read more

3 ways automated document verification software sp…

Automated document verification software speeds up onboarding by reducing manual effort, improving …

Read more
Industry Use Case

A guide to getting remote identity verification ri…

We live in an age where we have dozens, if not hundreds, of online accounts. They form a core link…

Read more
Explore resources