Anonymized data usage in market research is described as:

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Multiple Choice

Anonymized data usage in market research is described as:

Explanation:
Anonymized data allows analysis without exposing who each record belongs to. In market research, this means you can examine patterns across groups—like by age range, location, or buying habits—and use those insights to tailor marketing to those groups while keeping individuals hidden. That makes it possible to target products to certain types of people without identifying anyone. The idea is that personal identifiers are removed or masked, so the data can inform strategy without revealing who the individuals are. The other statements miss this balance: anonymized data can still be used for market research, it does not preserve personal identifiers, and it is not the same as raw personal data with identifiers intact.

Anonymized data allows analysis without exposing who each record belongs to. In market research, this means you can examine patterns across groups—like by age range, location, or buying habits—and use those insights to tailor marketing to those groups while keeping individuals hidden. That makes it possible to target products to certain types of people without identifying anyone. The idea is that personal identifiers are removed or masked, so the data can inform strategy without revealing who the individuals are.

The other statements miss this balance: anonymized data can still be used for market research, it does not preserve personal identifiers, and it is not the same as raw personal data with identifiers intact.

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