The Department for Work and Pensions (DWP) is responsible for welfare, pensions and child maintenance policy. As the UK’s [...]
I know that she has three children and is in her mid 30s. By combining these facts, I can narrow down the results and easily locate her in the dataset.
It’s easy for me to discover confidential information about her medical history.
We have worked in collaboration with government agencies around the world to develop a unique solution–perturbation–that addresses privacy concerns without compromising the flexibility or usefulness of your data.
Perturbation automatically adjusts cell values slightly so it’s impossible to identify an individual.
It’s smart enough to know exactly where to add the noise so as not to affect the usefulness of the results.
Specific values always get perturbed the same way, regardless of how you build the query/table.
Allows safe and secure access to detailed low level data queries.
No need to choose between maximum protection or maximum data: perturbation is designed to keep your data as safe as possible and as useful as possible.
Automatically applied on-the-fly to user queries. No subjective judgements. No need to manually adjust the results.
Read our white paper to learn more about how perturbation can fit into your statistical disclosure control strategy.
Want to talk? Get in touch with us today to discuss how Perturbation can work for you.