What is the process of analyzing data to extract information not offered by the raw data alone?

Question

BlackTom AI · Accepted Answer

The question asks about the process of analyzing data to uncover information that isn’t apparent from the raw data itself.
Option 1: Analysis latency – this term would imply a delay in analysis or processing time, which is not about extracting new information from data. It does not describe the analytical activity that reveals hidden insights.
Option 2: Data mining – this term refers to techniques used to discover patterns, correlations, and information not readily observable in raw data, effectively extracting new knowledge from datasets. This aligns with the described process in the question.
Option 3: Data latency – similar to option 1, this focuses on time delays in data availability or transmission rather than on the analytic extraction of new information from data.
Thus, the most fitting concept for extracting information not offered by the raw data alone is the data mining process, while the other options describe related but unrelated ideas about timing or delays in data handling.

What is the process of analyzing data to extract information not offered by the raw data alone?

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