Use of Data Aggregation in a Data Warehouse:
Performance Improvement: Aggregated data reduces the amount of detail that needs to be processed for queries, which speeds up response times for reports and analytics.
Simplified Analysis: Users can perform analysis on summarized data without needing to navigate through large datasets, making it easier to derive insights.
Support for Business Intelligence (BI): Aggregated data is crucial for BI tools that generate dashboards, reports, and visualizations, helping stakeholders make informed decisions.
Historical Analysis: Data warehouses often maintain historical aggregated data, allowing organizations to analyze trends over time and make forecasts based on historical performance.