Data Warehousing and Business Intelligence

This course builds on “The Nature of Data and Relational Database Design” to extend the process of capturing and manipulating data through data warehousing and data mining. Once the transactional data is processed through ETL (Extract, Transform, Load), it is then stored in a data warehouse for use in managerial decision making. Data mining is one of the key enablers in the process of converting data stored in a data warehouse into actionable insight for better and faster decision making. By t

• Explain different data warehousing architectures and multidimensional data modeling
• Develop predictive data mining models, including classification and estimation models
• Develop explanatory data mining models, including clustering and association models