What type of data is considered aggregate or blind data?

The correct answer highlights that aggregate or blind data refers to information that is summarized to show general trends and patterns without pinpointing specific individuals. This type of data is valuable for analyses where individual identifiers are not necessary, allowing for a broader view of consumer behavior or market trends.

In contrast, customized financial data related to individual consumers provides specific details about a person’s financial situation, which does not align with the concept of aggregate data. Customer-specific fraud alerts are tailored to individual cases and thus contain identifiable information. Detailed credit history of individuals provides extensive personal data, which again does not conform to the idea of aggregate data meant to represent a larger group. This distinction is essential in understanding how data can be used in scenarios like market analysis or trend identification while maintaining consumer privacy.