Evaluate the role of data warehousing in supporting business intelligence and analytics. Discuss the process of transforming raw data into actionable insights. Provide examples of business intelligence tools and techniques that leverage data warehousing to enhance decision-making processes.

Data warehousing plays a critical role in supporting business intelligence (BI) and analytics by serving as a centralized repository where data from various sources is integrated, stored, and organized for analysis. It facilitates efficient data retrieval, consistency, and historical analysis, which are essential for informed decision-making. A well-structured data warehouse allows organizations to consolidate structured data from operational systems, such as sales, finance, and customer relationship management, ___ ______ ____ ___ ___ __________.
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