Final answer:
The process of extracting patterns from data located in the data warehouse is called Data Mining. It is part of Business Intelligence and involves tasks like clustering, classification, and regression to discover underlying trends and patterns in data for informed decision-making.
Step-by-step explanation:
The process of extracting patterns from data located in the data warehouse is called Data Mining. This involves using algorithms to discover relationships and patterns in large datasets, which can then be used to inform decision-making within an organization.
The process typically includes tasks such as clustering, classification, regression, and association rule learning.
Data Mining is a key component of Business Intelligence (BI), allowing businesses to make informed decisions by revealing trends and patterns that may not be immediately obvious.
The insights gained through Data Mining can lead to improvements in marketing strategies, sales performance, and overall operational efficiency.
Data mining is supported by other processes in the data warehouse environment, such as data cleaning and data integration, which help to ensure that the final patterns recognized are accurate and representative of the underlying data.
Professionals employing Data Mining techniques may use a variety of software tools and programming languages to carry out analyses, including SQL for querying the data warehouse, and Python or R for statistical analyses and machine learning tasks.