Databas – Part V
Chapters 34 Data Mining
34.1 Data mining can provide huge paybacks for companies who have made a significant investment in data
warehousing. Describe the advantages that data mining tools offer the business analyst.
34.2 Explain why a data warehouse is well equipped for providing the data for data mining.
A data warehouse is well equipped for providing data for mining for the following reasons:
Data quality and consistency is a pre-requisite for mining to ensure the accuracy of the predictive
34.3 Identify the factors that have led to the growing popularity of data mining.
Students should identify the factors such as:
Adoption of data mining tools is nature path following on from the success of data warehousing
and OLAP.
34.4 Discuss the relationship between data mining, OLAP and data warehousing.
Data mining and OLAP are complementary BI tools. While OLAP functions typically include
Databas – Part V
Data quality and consistency is a pre-requisite for mining and/or browsing to ensure the accuracy of the
34.5 There are a growing number of data mining tools. Describe four key features that these tools offer the
analyst.