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Deploying Configuration of Siebel Analytics for Batch Scoring

Verify that batch scores are generated correctly and stored in the correct destination. Siebel Miner users who store batch scores in the Siebel Data Warehouse can use Siebel Analytics to validate and analyze scores. If you have very large data sets with physical memory limitations based on whether you are using Siebel Miner, Siebel Data Mining Workbench, or Siebel Data Mining Engine stand-alone, you may have to split your data set into several smaller partitions before running batch runs. See the appropriate guides and release notes for limitations.

Example of Configuring Siebel Analytics for Batch Scoring Deployment

In the wireless service provider example, the company expects a distribution of churn scores that needs to be in line with its historic churn rate. Because the provider has experienced an annualized churn rate of 20%, it expects at least 20% of customers to have high churn scores. A significant deviation from the expected distribution is most often an indication of a flawed predictive model.