Final answer:
The process referred to is Data Mining, which uses sophisticated techniques to uncover patterns in large datasets, leading to actionable insights for business intelligence and strategic decision-making.
Step-by-step explanation:
The process of finding trends and usable patterns of behavior in data provided by marketing information systems is known as Data Mining. Data mining involves the use of sophisticated analytical techniques to parse large datasets, uncovering patterns that might not be immediately apparent. It goes beyond mere analysis or collection of data by applying algorithms and statistical methods to discover deeper insights, trends, or patterns in the data. This can then lead to actionable knowledge that can drive decision-making and strategy in business contexts.
After data is collected and organized, for instance when considering real estate prices, looking at measures like the median price and price variations can be more informative than trying to interpret each data point individually. In educational settings, the importance of understanding and identifying patterns or relationships in data is often emphasized, as outlined in points 5.1 and 2.24, which highlight the student's ability to analyze data within different contexts, including biological systems, ecosystems, as well as other forms of data representation.
Ultimately, Data Mining can be a powerful tool in transforming raw data into meaningful information that can drive business intelligence and decision making.