Use the perform data mining process to understand the characteristics of users who behave in specific ways. This information can then be used to target specific groups of individuals or to adjust commerce settings to maximize profit and user experience.
Using DB2 Intelligent Miner for Data and some pre-built demographic clustering mining models that ship with WebSphere Commerce Analyzer, customers can produce statistical results relating to trends found in the WebSphere Commerce Analyzer datamart. Customer profile data is generated from these models and fed back into the WebSphere Commerce system. It can then be imported using WebSphere Commerce Accelerator to target specific groups of people.
Demographic clustering algorithms in DB2 Intelligent Miner for Data
Pre-built mining models answering the following business questions:
Customer segment data is fed back into the WebSphere Commerce system for closed-loop functionality as customer profiles.
Existing mining models can be modified and new mining models can be created using DB2 Intelligent Miner for Data.
Professional, Business Edition
Task | Description | Role |
---|---|---|
Review data mining results (external) |
The Business Analyst reviews the results of the datamining using DB2 Intelligent Miner for Data. These results display in the form of statistical graphs that define customer groups (segments) that are clustered based on different demographic and behavioral data gathered by WebSphere Commerce Analyzer. |
Business intelligence analyst |
Run data mining step |
This step initiates the datamining process if DB2 Intelligent Miner is installed and datamining is enabled. Selected tables from the WebSphere Commerce Datamart are processed using Demographic Clustering algorithms in order to define customer groups (segments) in response to a set of business questions. |
Business intelligence analyst |
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