Siebel Analytics Installation and Configuration Guide > Siebel Industry Applications Analytics Metadata > Metadata Requirements for Siebel CME Analytics Applications >

Developing and Deploying Predictive Scores

The process of developing and deploying these predictive scores is described in the following procedure.

To develop and deploy predictive scores

  1. Generate predictive scores using any third-party predictive modeling application. This is performed outside of the Siebel operational application.
  2. Integrate the scores into the Siebel transactional database. Once this is completed, scores may be viewed in the Siebel operational application by accessing the Accounts > Profiles > Loyalty Profile view.
  3. Load the integrated scores into the Siebel Data Warehouse during the extraction, transformation, and loading (ETL) process.
  4. Once these scores are loaded into the Siebel Data Warehouse, they are mapped to the following Siebel Analytics metadata fields:
    • Churn Score
    • Customer Lifetime Value Score
    • Upsell Score
    • Cross-Sell Score
    • Financial Risk Score

      In conjunction with other associated metadata, these fields are primarily used to populate the Loyalty Management dashboard.


 Siebel Analytics Installation and Configuration Guide, Version 7.7, Rev. A 
 Published: 11 March 2004