Predict Events

In SAP Customer Relationship Management (SAP CRM), it is not sufficient simply to examine events in the past. It is equally important to be able to recognize trends, spot behavior patterns, and customer preferences early on, and to use these insights. You can use intelligent methods such as data mining, to process the data collected in SAP NetWeaver Business Intelligence (SAP NetWeaver BI) (see Measure Performance) and to make predictions about future trends.

Features

Data Mining

SAP NetWeaver BI provides you with general data mining methods such as Clustering, Decision Tree, Association Analysis, and Scoring.

For more information about Data Mining, see SAP Library under Start of the navigation path SAP NetWeaver 2004 Next navigation step Information Integration SAP Business Information Warehouse BI Platform Data Mining End of the navigation path .

Prediction Models

You can also use application-based prediction models, such as RFM Analysis, to optimize campaigns. For more information about RFM Modeling and Response Models for Campaign Optimization, see SAP Library under Start of the navigation path SAP NetWeaver 2004 Next navigation step Information Integration BI Content Customer Relationship Management CRM Analytics Marketing Analyses Response Prediction Modeling End of the navigation path .

Customer-Lifetime-Value Modeling (CLTV)

For more information about CLTV Modeling, see SAP Library under Start of the navigation path SAP NetWeaver 2004 Next navigation step Information Integration BI Content Customer Relationship Management CRM Analytics Customer Analyses Customer Lifetime Value Analysis End of the navigation path .