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6.2 Creating a Clustering Model Using InfiniteInsight®
Modeler
Data modeling with InfiniteInsight® Modeler - Segmentation/Clustering is subdivided into four broadly defined
stages:
1
Defining the Modeling Parameters
2
Generation and Validation of the Model
3
Analysis and Understanding of the Analytical Results
4
Using a Generated Model
6.2.1 Step 1 - Defining the Modeling Parameters
To respond to your business issue, you want to:


Break down the sample of 50,000 prospects who responded to the test phase of your marketing
campaign into homogeneous groups (see Summary of the InfiniteInsight® Modeler Regression/Classification Application Scenario).
Describe each of these groups and provide customized communication for each of these different
groups.
The InfiniteInsight® Modeler - Segmentation/Clustering feature allows you to create descriptive models.
The first step in the modeling process consists of defining the modeling parameters:
1
Select a data source to be used as a training data set.
2
Describe the selected data set (on page 210).
3
Select the variables.
4
Select the explanatory variables.
5
Checking the Modeling Parameters.
6
Define the number of clusters. This step is optional.
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CUSTOMER
SAP InfiniteInsight® 7.0
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