Business Intelligence: Data Warehouses, Data Mining & Decision Making

This report outlines the structural differences between relational databases optimized for online transactions and data warehouses optimized for processing large amounts of data. It also highlights the key differences between database requirements for operational data and decision support data. Furthermore, the report provides three examples of how databases are used to support decision-making in large-scale industries, including business management, agricultural production, and forest management. Lastly, it describes three examples of how data warehouses and data mining are used to support data processing and trend analysis in large organizational environments, focusing on education and healthcare. The report concludes by emphasizing the potential of data mining to improve systems and reduce costs.