Which component in the BI stack stores and manages transformed data for use by higher-level systems?

Which component in the BI stack stores and manages transformed data for use by higher-level systems?

• A. Real-time data visualization
• B. User-packaged BI for function-specific needs
• C. Storage and management of transformed data for use by higher-level systems
• D. Data extraction from source systems

Answer: (C)

The key idea is the central repository that holds transformed data for access by other systems. After data is extracted and transformed, it’s loaded into a central store—the data warehouse—where it’s stored and managed in a consistent, governed form. This enables dashboards, reports, and analytics tools to pull reliable data from a single source of truth. Real-time visualization is about presenting data, not storing it; packaging BI for specific functions describes deployment or use cases, not the storage layer; data extraction covers the initial collection of data, not its storage for future use.

The key idea is the central repository that holds transformed data for access by other systems. After data is extracted and transformed, it’s loaded into a central store—the data warehouse—where it’s stored and managed in a consistent, governed form. This enables dashboards, reports, and analytics tools to pull reliable data from a single source of truth. Real-time visualization is about presenting data, not storing it; packaging BI for specific functions describes deployment or use cases, not the storage layer; data extraction covers the initial collection of data, not its storage for future use.