What process involves extracting and analyzing data to identify patterns?

The process that involves extracting and analyzing data to identify patterns is data mining. This technique is focused on discovering meaningful insights from large datasets. By employing various algorithms and statistical methods, data mining allows organizations to uncover hidden correlations and trends, which can be critical for decision-making and strategic planning.

Data mining typically includes processes such as classification, clustering, regression, and association rule learning. These methods can be applied to large volumes of data to detect patterns that might not be immediately obvious through standard data analysis techniques.

While data reporting refers to the manual or automated presentation of data summaries, and data warehousing relates to the storage and management of data for analysis purposes, neither specifically focuses on the discovery of patterns. Data evaluation is a broader term that may encompass multiple forms of data analysis, but it does not exclusively pertain to the extraction and identification of patterns found in the data itself.