Which of the following refers to the methods used to analyze data for insights?

The term that encompasses methods used to analyze data for insights is typically "Data Mining." This technique focuses on discovering patterns, correlations, or insights from large sets of data. Data mining employs various algorithms and machine learning approaches to extract valuable information that can inform decision-making or predictions based on the data analyzed.

While "Analytical Operations" could suggest methods of examining data, it is more of a broad term and doesn't specifically refer to the techniques used for discovering insights. "Data Representation" refers to how data is visualized or structured for analysis, rather than the actual analytical methods themselves. "Statistical Analysis" is a subset within the broader realm of data analysis focused specifically on employing statistical methods to interpret data, but it does not encompass all analytical techniques, particularly those involving machine learning or pattern recognition.

In essence, while the other terms are related to data processing or analysis, data mining explicitly refers to the methods that seek to derive insights from data.