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Data Mining Deployment Guide > Setting Up Batch Scoring with Siebel Data Mining > Data Mining Subject Area in Siebel AnswersNOTE: This section applies only to Siebel Miner and Siebel Analytics Applications users. Stored in the Siebel Data Warehouse, batch scores are analyzed with Siebel Answers. For this purpose, Siebel Analytics provides prebuilt metadata that links batch scores to customer profile data and other Relationship entities. This metadata consists of a dedicated data mining subject area and additions to various subject areas that allows analysis of batch scores in the context of customer data. This data mining subject area exposes information residing in the Siebel Miner repository, including model metadata and scoring data. Figure 5 shows the contents of the data mining subject area. The content of this subject area is also available in the following subject areas: Example of Using the Data Mining Subject AreaFor example, in order to display the average churn score in relation to the customer profile attribute Marital Status:
In addition, the data mining demo subject area exposes data provided with Siebel Miner demo templates. See the Siebel Miner documentation in the Angoss folder on the Siebel eBusiness Third-Party Bookshelf for a description of demo data mining templates. NOTE: To use the existing analytics metadata that joins batch score records to the Account, Contact, or Product entities, the ID column of batch score records must match the ROW_WID of these entities. |
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