profileringsdata
Profileringsdata refers to personal data that are used in profiling activities, i.e., automated processing intended to analyze or predict aspects concerning an individual. Profiling typically combines multiple data types and sources to draw inferences about preferences, behavior, attributes or risks, and may cover both directly provided information and data inferred from online or offline activities.
Common data elements involved in profileringsdata include identifiers (such as name, contact details, and account numbers),
The processing of profileringsdata is governed by data protection rules in many jurisdictions, notably under the
Applications of profileringsdata span marketing and personalized services, credit and fraud risk assessment, insurance underwriting, recruitment,