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Siebel Analytics Installation and Configuration Guide > Siebel Industry Applications Analytics Metadata > Metadata Requirements for Siebel CME Analytics Applications >
About Predictive Analytics Metadata
The Loyalty Management Dashboard and several Siebel Analytics subject areas use customer scores generated from a third-party predictive modeling application. A predictive modeling application uses mathematical models to predict customer behavior. For customer scoring to be made available for analysis in Siebel Analytics, CME metadata is provided which maps these customer scores to dashboards and subject areas. Relevant predictive scores available include:
To facilitate customer segmentation in Siebel Analytics, the following metadata fields group these scores into score ranges:
- Churn Score Range
- Customer Value Score Range
- Upsell Score Range
- Cross-Sell Score Range
- Financial Risk Score Range
While the majority of Predictive Analytics metadata resides in the Customers subject area, some of it resides in other subject areas as well.
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Siebel Analytics Installation and Configuration Guide, Version 7.7, Rev. A Published: 11 March 2004 |