Role of OLAP and data mining for business intelligence

In this lesson

• Explaining how OLAP presents warehouse data as a multidimensional cube, and the roll-up, drill-down, slice, dice and pivot operations
• Explaining the data mining techniques classification, clustering, regression, association rule discovery, sequential pattern discovery and anomaly detection
• Explaining how both extract meaningful information from large data sets to support business decisions, and their limitations