Certified Information Privacy Manager (CIPM) 2025 – 400 Free Practice Questions to Pass the Exam

Pseudonymous data is intended to enhance privacy by removing identifiable information while still retaining some level of utility for analysis. This type of data involves replacing or modifying personal identifiers with pseudonyms or artificial identifiers. By doing this, organizations can analyze data without directly identifying individuals, which helps in protecting personal privacy. This approach is particularly important in complying with privacy regulations and ethical data management practices, allowing organizations to utilize data for research or analytics while minimizing privacy risks.

In this context, the other options do not accurately reflect the primary goal of pseudonymous data. The creation of easily accessible databases is more about data management systems than privacy enhancement. Increasing data sharing across platforms does not inherently relate to the protection of individual privacy and might even compromise it. Finally, while pseudonymous data can be used in the context of marketing analysis, the primary purpose is not to aggregate user data for that purpose but rather to safeguard individual identities during such processes.