8 Fundamental Data Anonymization Mistakes That Could Put Your Business At Risk

For data about EU citizens, it shouldn’t be possible to ‘single out an individual, link records relating to an individual or infer information concerning an individual’ without their consent – according to the GDPR. However, there are many situations where you need to use the data, for example, to facilitate software development, where you need to use real-world data but don’t have the necessary permission. That’s why data anonymization is crucial. 

  1. You only need to change the obvious Personal Identification Indicators (PII)
  2. The difference between synthetic and anonymized data
  3. Confusing anonymization with pseudonymization
  4. Anonymizing data destroys the quality
  5. Keeping original data after anonymization 
  6. Anonymizing one data set/occurrence 
  7. All cases of anonymization are the same 
  8. ‘Differential Privacy’ vs Anonymization

8 Fundamental Data Anonymization Mistakes That Could Put Your Business At Risk

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