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Deploying Batch Scoring with Siebel Data Mining

Batch scoring can be used for the following purposes:

• As a marketing segmentation driver
• As pure knowledge discovery
• As an alternative to real-time scoring in scenarios where predictive scores are known to change little over time

In batch deployment mode, scores for an entire group of customers or other entities are generated by executing a predictive model offline with Siebel Miner or Data Mining Workbench. The scores are stored and held persistent for later analysis or use by Siebel operational applications.

Batch-generated scores are normally stored directly in a relational database or can be written out to a flat file. Stored in the Siebel Data Warehouse, you can use scores to gain customer insight through analysis with Siebel Answers or as segmentation criteria in Siebel Marketing. In the wireless service provider example, the company would identify characteristics of customers with a high propensity to churn, and build target segments for retention campaigns based on churn propensity as a segmentation criterion.

The description of batch scoring in this chapter assumes that you are scoring customers. Depending on your requirements, you may want to score other entities like account or household. The instructions below are analogous for these entities. As a Siebel Analytics applications user, you need to add and modify metadata in Siebel Analytics to expose batch scores in the context of other Siebel entities. See the Siebel Analytics Server Administration Guide for details on metadata configuration.