Data pseudonymization

Quelle: https://ec.europa.eu/info/law/law-topic/data-protection/reform/rules-business-and-organisations/pseudonymisation_en

Data pseudonymization is the processing technique of replacing identifying data fields with pseudonyms so that the data cannot be attributed to a natural person without additional information held separately. In logistics, it is used to protect personal data in tracking, shipping, and supply-chain processes while preserving system functionality and analytical usefulness.

Related Terms

You might also be interested in these terms

Data Anonymization

Data anonymization in logistics and supply chain analytics is the process of transforming data so that individuals or shipments cannot be identified, ...

Learn more

Data anonymization

Data anonymization is the process of transforming or removing personal data so that individuals can no longer be identified, while preserving the data...

Learn more

risk data

Risk data in logistics or supply chain context are data used to identify, assess, and monitor risks in supply chains and transportation processes (e.g...

Learn more

Data Privacy

In logistics, data privacy refers to the protection of personally identifiable information (PII) and other sensitive data collected, stored, transmitt...

Learn more

Usage Data

Usage Data refers to information collected on the utilization of assets, transportation means, resources or IT systems within logistics and supply cha...

Learn more

Data Model

A structured representation of data elements and their relationships that supports data management, information flows, and analytics in logistics, sup...

Learn more