Repeat what you have done on the Getting Started with SAS Enterprise Miner video lecture on the Churn dataset (churn.sas7bdat) in the course data directory (my_content/mydata).g

business

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Question 1. (25 Points) Answer the following questions about Business Intelligence (BI) 

1. (10 Points) Define BI. List and describe the major components of BI.


2. (15 Points) List some other success factors of BI.


Question 2. (20 Points) Compare and contrast predictive analytics with predictive and descriptive analytics. Use examples.


Question 3. (25 Points) Based on the Application Case 1.4: Analyzing Athletic Injuries


Managerial Perspective Fourth Edition), Please answer the following questions. 

1. (10 Points) What types of analytics are applied in the injury analysis? 

2. (15 Points) What is a classification problem?  


Question 4. (30 Points) Repeat what you have done on the Getting Started with SAS Enterprise Miner video lecture on the Churn dataset (churn.sas7bdat) in the course data directory (my_content/mydata). Provide the screen shots to document the following three tasks (References: https://support.sas.com/en/software/enterprise-miner-support.html (Links to an external site.)). 

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