Today we want to talk to you about data anonymisation in Ticino and what is meant by this.
Having seen in the past weeks why Switzerland is ideal for opening start-ups and for the coachingtoday we want to address a somewhat more complex issue.
You should know that data anonymisation in Ticino is a process that enables you to transform personal data into anonymous data.
This ensures individual privacy and allows companies to use the information without running legal risks, as it cannot be traced back to the person.
This topic has become a hot topic with the introduction of the GDPR (General Data Protection Regulation).
Index
Data anonymisation in Ticino
Data anonymisation in Ticino refers to that de-identification operation that is aimed at irreversibly transforming personal data into anonymous data.
Data anonymisation in Ticino, and data anonymisation in general, is therefore a very relevant operation in order to ensure the consumer privacy.
Anonymising a given set of personal data means, in fact, to be able to take advantage of that information, since it has been released from the individual, and use it.
This is because they can no longer be traced back to the person.
It follows that for an organisation, anonymisation is essential because it eliminates a source of risk and can disregard the obligations and responsibilities imposed by data protection legislation.
To give a more professional definition of data anonymisation in Ticino in the field of Health Informatics ISO/TS 25237:20 we can say that:
"Anonymisation is a process by which personal data are irreversibly altered so that the data controller, alone or in cooperation with other parties, can no longer identify the data subject directly or indirectly".
To cite another more concise source, we can take the Opinion 05/2014 on Anonymisation Techniques of the Working Party Art. 29, which states in para. 2.1.1: "... anonymisation is a technique applied to personal data in order to achieve irreversible de-identification
We can say that this topic of data anonymisation in Ticino has been given particular attention since the introduction of the GDPR.
In conclusion, we can say that data anonymisation in Ticino is an excellent strategy for companies in data collection to avoid the risks of sanctions and measures.
This, of course, has to be done with qualified people who know how to do it best, just like the team of GROT who, thanks to his professionalism and its services will be able to help you.
To get to know them better and make contact with them, simply click here!
Data anonymisation and GDPR
As we were saying, data anonymisation in Ticino aims to render personal data anonymous and stems from the need to be able to have the same information without having to take risks from the point of view of violation of privacy.
Recital 26 of the GDPR states that "The data protection principles should therefore not apply to anonymous information, i.e. information which does not relate to an identified or identifiable natural person or to personal data rendered sufficiently anonymous so that the data subject is no longer identifiable or cannot be identified. This Regulation therefore does not apply to the processing of such anonymous information, even for statistical or research purposes".
This means that the moment a dataset is anonymised, it no longer falls within the scope of the GDPR and is therefore no longer subject to the same restrictions.
By way of information, the Recitals are fundamentally important pointers that help us better understand the text of the GDPR.
Data anonymisation techniques
In this part of the article, we discuss data anonymisation techniques in Ticino.
We can start by saying that the GDPR is not very clear on what it considers to be valid data anonymisation techniques, thus leaving the responsibility and burden on individuals to identify which procedure to apply.
This is why it is always best to rely on experts in the field such as GROT not to misunderstand the subtle difference between anonymisation and pseudonymisation.
There are four techniques used for data anonymisation in Ticino:
The masking is the removal of all data that can directly identify the user such as name, address, pictures.
In this way, the number of original data is reduced without the data being altered or modified.
Quite simply, the level of detail is decreased, thus preventing the presence of information that can be directly traced back to the person concerned.
This data anonymisation technique in Ticino does not allow the anonymisation of an entire database to be achieved, but can be a starting point and support for other techniques.
La randomisation is a family of techniques that involve altering the source data in order to break the link between the individual and the data.
Through this technique, however, the veracity and accuracy of the data is changed, which makes it impossible to link them to a specific individual and they are less accurate.
Among the measures that are attributable to randomisation are:
- The addition of the statistical noise which consists of modifying the data by adding a few small random changes. This is to limit the ability to link data to an individual.
- La permutationInstead, it consists of mixing values within a table so that some results will be artificially linked to different persons.
On the other hand, among the data anonymisation techniques in Ticino, the generalisation corresponds to a family of techniques that work on reducing the granularity of data.
Thanks to this, data is disclosed that is less accurate than the original data.
In particular, the scale or order of magnitude is changed.
To give a clear example, a region is indicated instead of the precise city, or the month is indicated instead of the week.
It is very likely that many people then share the same values.
Measures that can be attributed to this technique include:
- aggregation
- k-anonymisation
The latter consists of ensuring that each value related to a stakeholder is shared by at least a minimum number of k of other persons within the set.
Finally, thestratified anonymisation which consists of a second anonymisation of data in Ticino that have already been anonymised.
This can be used interdepartmentally, so that data can be passed from one functional area to another within the same organisation.
This technique of anonymising data in Ticino can provide additional guarantees to avoid the re-identification of persons.
In conclusion, data anonymisation in Ticino is very important in order not to reveal sensitive consumer data.
Of course, the choice of the method to be used always depends on the needs of the company and must be done with care and attention.
This is thanks to professionals such as GROT who will be able to meet your requirements, all you need to do is contact them!
English (UK) 
Italiano