Design Of Business Intelligence Data Warehousing
- Definition: Business Intelligence (BI) data warehousing involves collecting and storing data from various sources for analysis and reporting.
- Purpose: To enable organizations to make informed decisions based on comprehensive data analysis.
- Design Elements:
- Data Sources: Identify various internal and external data sources.
- ETL Process: Extract, Transform, Load method ensures data is clean and usable.
- Data Storage: Use a structured database or cloud-based solutions for efficient storage.
- Data Models: Design schemas (star, snowflake) for organized data access.
- Tools: Utilize BI tools (e.g., Tableau, Power BI) for visualization and reporting.
- Benefits:
- Improved decision-making through data-driven insights.
- Enhanced operational efficiency by identifying trends and patterns.
- Better forecasting and planning capabilities.