Exam CIPT topic 1 question 49 discussion

D. It is a good way to achieve de-identification and unlinkability. Data aggregation involves combining data from multiple sources to produce summary information or patterns. A main benefit of this process is that it can help achieve de-identification by removing or generalizing specific details, thereby reducing the risk of identifying individual data subjects and enhancing unlinkability. This is particularly valuable for protecting privacy while still allowing for useful analysis. Data aggregation typically combines large datasets to provide a broader perspective or summary insights. It helps in drawing conclusions from comprehensive data rather than small samples so answer C is not accurate,

he correct answer is C. It allows one to draw valid conclusions from small data samples. Data aggregation simplifies the complexity of large datasets, making it easier to analyze and interpret. By summarizing data, organizations can identify trends and patterns, leading to informed decision-making. While it doesn’t directly eliminate the need for statisticians, it enhances efficiency and provides meaningful insights from aggregated data

I think D is the correct answer

When data is aggregated, information is expressed in a summary form that reduces the value and quality of the data as well as the connection between the data and the individual it belongs to. While using aggregation may reduce privacy concerns, it is often still possible to determine individual values from aggregated statistics.

Aggregation is applied to make data less identifiable

D is the answer