What is a data warehouse in business intelligence?

In business intelligence, a data warehouse is a centralized, structured repository that consolidates historical and current data from various disparate sources, such as sales, marketing, and operations systems.

What is the relationship between data warehousing and business intelligence?

A data warehouse provides the structured, reliable data that powers business intelligence (BI) tools. The data warehouse serves as a central repository for clean, integrated data from various sources, while BI tools then analyze this data to generate reports, dashboards, and insights for strategic decision-making.

What are the 5 components of a data warehouse?

The five components of a data warehouse include data sources, ETL (Extract, Transform, Load) processes, data warehouse database, metadata repository, and business intelligence tools.

What is business intelligence in a data warehouse?

Business intelligence (BI) in a data warehouse uses technologies and strategies to extract, transform, and load data from different sources into a centralized repository. The organized data is then analyzed to produce reports, dashboards, and insights that support smarter decision-making.

What is the primary purpose of a data warehouse in business intelligence?

The main goal of a data warehouse in business intelligence is to consolidate and store large volumes of historical and current data from various sources in one place. This centralized approach enables complex analysis and reporting, helping decision makers gain deeper insights into business performance.

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