Inferred data involves acquiring personal information from activities like purchases and location to make assumptions about individuals. Companies utilize this data to create valuable insights and categorize individuals based on their behaviors and preferences using geographic information systems.
Inferred data is the term used to describe personal data that credit card companies and other organizations gather about individuals based on various activities like purchases and location. This information is utilized to make educated guesses about an individual's preferences and behaviors.
Companies like Claritas use this inferred data to create valuable information through transactions recorded daily, enabling them to categorize individuals into specific segments based on their incomes, tastes, and behaviors.
Geographic information systems, often relying on data such as ZIP codes, play a crucial role in delivering and analyzing this inferred data, showcasing the significance of location-based information in understanding consumer behavior and preferences.
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