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 crucial role in supporting business intelligence (BI) and analytics by centralizing and organizing large volumes of data from multiple sources into a cohesive, easily accessible format. This structured data is then used to generate actionable insights, helping businesses make informed decisions. A data warehouse stores historical data, which allows businesses to analyze trends over time, providing a comprehensive view of operations and performance.

The process of transforming raw data into actionable insights typically involves several key steps. First, raw data is collected from various sources, including transactional databases, external systems, and operational data. This data is often unstructured or semi-structured ________ ___ _______ ________ ___ ____ _________.
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