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Data warehouse BI is pivotal to modern data management strategies, transforming raw data into actionable insights. A data warehouse (DWH) serves as a central repository, storing large amounts of structured and unstructured data from various sources.
BI in Data Warehouse- How Business Intelligence and Data Come Together
The integration of these technologies allows businesses to centralize their data, ensuring consistency and reliability. This centralization is crucial for organizations that deal with diverse data sources, as it provides a unified view of their data.
Outline of How Data Warehousing and Business Intelligence Work
Data Source
Data sources are the initial points of data for any data warehousing and BI system. They encompass various types of data, such as:
Transactional Databases: These include sales transactions, customer interactions, and other operational data.
CRM Systems: Customer relationship management systems store customer data, interactions, and sales pipelines.
ERP Systems: Enterprise resource planning systems manage core business processes, including finance, HR, and supply chain.
Social Media Platforms: Data from social networks can provide insights into customer sentiment and engagement.
External Data Sources: Market research reports, third-party data providers, and public data sets.
These diverse datasets are often in different formats and require integration for comprehensive analysis. The extraction of data from these sources is the first step in the ETL (Extract, Transform, Load) process.
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