Testing and analysis without access to traceable data in the ICT industry


Emma Venema

Onderwerp Blog
Gepubliceerd op

June 3, 2024

In the IT industry, where data security and privacy are paramount, testing and analyzing systems, software or algorithms without access to traceable data is a common concept. This is known as “privacy-friendly” or “anonymized” testing. These methods allow organizations to optimize their processes while ensuring the privacy of individuals. Below we discuss some of the key approaches used:

Synthetic data

Synthetic data are artificially generated data sets that have the same statistical properties and patterns as real data, but do not contain actual personal information.

DataFactory is the ultimate suite for editing privacy or competition-sensitive data for use outside the production environment. With DataFactory you can anonymize, pseudonymize and subset data. The result? A representative dataset that you can use safely and compliantly with the GDPR for testing and analysis purposes, training or demos.

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Pseudonymization involves replacing traceable personal information with pseudonyms or unique identifiers.

Differential Privacy

Differential Privacy is a technique in which noise or random noise is added to the data before it is analyzed.


Data masking involves masking or distorting specific parts of the data, such as names and addresses, while preserving the structural and relational properties.

Aggregate analyses

Aggregate analyses are performed on grouped data, aggregating individual data points to calculate averages or statistics.

Homomorphic encryption

Homomorphic encryption allows data to be analyzed while remaining encrypted.

Read also: Safely testing and analyzing data in retail

The goal of these privacy-friendly approaches is to extract valuable insights from data without compromising individuals’ privacy. When choosing the right approach, it is important to carefully consider which method best suits your particular situation and to ensure compliance with relevant privacy laws. Implementing these techniques not only helps protect sensitive information, but also reinforces customers’ and partners’ trust in your organization.