Oracle^® Business Intelligence Applications Installation and Configuration Guide > Configuring Metadata for Analytics Applications >

Developing and Deploying Predictive Scores

The Loyalty Management Dashboard and several Oracle Business Intelligence subject areas use customer scores generated from Oracle Real-Time Decisions. Oracle Real-Time Decisions uses mathematical models to predict customer behavior. For customer scoring to be made available for analysis in Oracle Business Intelligence, CME metadata is provided which maps these customer scores to dashboards and subject areas.

The following procedure describes the process of developing and deploying these predictive scores.

To develop and deploy predictive scores

1. Generate predictive scores using Oracle Real-Time Decisions.

   NOTE:  This is performed outside of the Siebel operational application.

2. Integrate the scores into the 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 Oracle Business Analytics Warehouse during the extraction, transformation, and loading (ETL) process.
4. After the scores are loaded into the Oracle Business Analytics Warehouse, map them to the following Oracle Business Intelligence 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.