The process of analyzing data to extract information not offered by the raw data alone; it uncovers trends and patterns using techniques such as classification (which assigns records to predefined classes), estimation (which determines values for an unknown piece of data), affinity grouping (which determines which things go together), and clustering (which segments records into a number of groups)

The correct answer to the following question is "Data Mining".

Explanation:

It is indeed a method that businesses that are used to transform the raw information towards valuable data. Corporations might learn something about their clients instead of using technology to analyze trends in large quantities of content to create more efficient campaigns, boost revenue as well as reduce costs.

It encompasses investigating as well as analyzing huge blocks of documentation to extrapolate useful behavioral patterns.It constructs discernment about what actually happens in certain details, and is already teensy bit mathematical than scripting, but utilizes both.

Solution: the categorization of functional and non-functional requirement are as follows: some of the more typical functional requirements include: • business rules• transaction corrections, adjustments and cancellations• administrative functions• authentication• authorization levels• audit tracking• external interfaces• certification requirements• reporting requirements• historical data• legal or regulatory requirementswhile,some typical non-functional requirements are: • performance – for example response time, throughput, utilization, static volumetric• scalability• capacity• availability• reliability• recoverability• maintainability• serviceability• security• regulatory• manageability• environmental• data integrity• usability• interoperability