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Results Generated by the Model
Data Type: Data Base
Folder: <HANA connection>
Data: SAP_RDS_PA_TELCO. SII_RESULT_POSTPAID_REGRESSION
Choose Apply to continue.
Also, in this step (13) different decision cuts can be used in order to maximize profit, etc.
Choose Apply Model and use following setting in Applying the Model screen:
Application Data Set
Data Type: Data Base
Folder: <HANA connection>
Data: EntitySubscriptionPopulation
Generation options
Generate: Decision
Mode: Apply
Results Generated by the Model
Data Type: Data Base
Folder: <HANA connection>
Data: SAP_RDS_PA_TELCO. SII_RESULT_POSTPAID_DECISION
Choose Apply to continue.
In Classification Decision, select desired threshold or fill in cost matrix in order to maximize profit and
click next
Save the model to the repository.
Result
: A post-paid churn model is saved in SAP HANA for future applications and a table with
analysis results for each of our existing customers. Now this data set can be used to generate
potential retention offers and in post-analysis visualizations.
Rotational Churn Detection
In this use case, we focus on identifying the rotational churns who are likely to join and leave and again join back
for better offers.
Automated Analytics
Manipulating the Data
Launch SAP Predictive Analytics
Choose the
Data Manager
section
Select
Load a Data Manipulation
In the Load Data Manipulation window, select your SAP HANA instance and connect using the
<Domain User> account via the
Browse
button
Ensure that the following data manipulations are available
DM Name
Description
Source Tables