What is commonly included in a Data Warehouse?

A Data Warehouse is designed to consolidate and store large amounts of data from different sources, allowing organizations to perform complex queries and analysis. The primary purpose of a Data Warehouse is to bring together data from various operational systems, enabling comprehensive reporting and data analysis capabilities.

The inclusion of consolidated data from multiple sources is vital because it creates a unified view of information that can support decision-making processes across the organization. This integration allows for the combination of structured and unstructured data, providing a clearer picture of business operations, trends, and metrics, which is essential for effective data analysis and reporting.

The other options reflect incomplete or incorrect views of what constitutes a Data Warehouse. For example, focusing solely on real-time transaction data would limit the warehouse's capability to analyze historical trends, while only including historical data would disregard the ongoing integration of current data. Administrative records alone do not encompass the broader purpose and design of a Data Warehouse, which is to provide a comprehensive repository of diverse information to support sophisticated analytics and business intelligence efforts.