Which process involves extracting useful information from large databases?

Data Mining is the process that involves extracting useful information from large databases. This technique utilizes statistical methods, machine learning, and artificial intelligence to analyze vast amounts of data, seeking patterns and correlations that would not be immediately apparent. By uncovering this hidden information, organizations can make informed decisions, predict trends, and gain a deeper understanding of their operations or customer behaviors.

The other terms, while related to data management and analysis, serve different functions. Data Modeling focuses on creating a conceptual representation of data structures to understand how data will be stored, organized, and related within a database. Data Warehouse refers to a system used for reporting and data analysis, primarily storing large volumes of historical data. Data Visualization involves creating graphical representations of data to make complex information easier to understand but does not encompass the extraction of insights from data in itself. Thus, Data Mining stands out as the correct process for the extraction of useful information from large datasets.