What is the method of categorizing data by finding patterns called?

The method of categorizing data by finding patterns is known as Data Discovery. This process involves using various techniques and tools to analyze data from different sources to identify trends, correlations, and insights that can inform decision-making. Data Discovery encompasses techniques such as data mining, statistical analysis, and the use of visualization tools to help uncover hidden patterns within the data.

By focusing on data patterns, organizations can effectively segment their data, enhance their knowledge about data behavior, and tailor their strategies to meet specific needs. This approach is crucial for effective data management and is particularly important in fields like business intelligence, data analytics, and cloud security, where understanding patterns can lead to better security policies and risk management.

While the other terms have their own significance in data management, they do not specifically focus on the categorization and pattern-recognition aspect. For example, eDiscovery typically pertains to the legal process of identifying, collecting, and producing electronically stored information for legal cases. Categorization simply refers to the act of classifying information without emphasizing the analytical aspect. Databasing relates to the organizing of data into structured formats without necessarily involving the discovery or analysis of patterns within that data.