Predictive Modeling Assignment | Homework For You
Objective:
a) Revise BUS5PA material on predictive modeling and cluster analysis.
b) Demonstrate knowledge of key SAS Enterprise Miner nodes used in predictive analytics applications
c) Demonstrate knowledge of Cluster analysis using SAS Enterprise Miner.
d) Relate theoretical knowledge of predictive models and best practices to application scenarios 
PART A (60%) – A segmentation based exploration of customers in the churn case study
Carry out an exploratory analysis to try and understand who these customers are and whether they have any behavioral patterns and tendencies which could be made use of. Although this analysis will not be directly linked to the earlier predictive analytics exercise, the results may provide useful insights when making decisions based on the predictive analysis results.
Add another copy of the churn_telecom data source to the churn case study diagram (you may use new diagram). Go to the meta-data page and change variable roles to input (change the rejected ones to input), other than the ID roles.
Add a cluster node and a segment profile node to the diagram. Link the data source to the cluster node and the cluster node to the profile node.
Carry out the following clustering and profiling activities and report outcomes. (it is important to note that this is an exploration of the customer data set. Therefore there will be no correct or incorrect result. What is expected is a report on findings and where appropriate provide suggestions on possible business value).
Open the variable information page of the cluster node (from the properties list). Since we are planning to conduct a cluster analysis using a limited number of variables, change the ‘use’ column to ‘no’ for all variables.
1. Carry out demographics based profiling. Change the use of variables age, gender and customer value to ‘default’ (we will take customer value as a demographics variable although this may not be so – insufficient demographics in the data). Run the cluster node and see results. What can you say about the demography based segments? Run the segment profile node and comment on the resu. Get Statistics homework help today
