First prerequisite is, that the SAP Focused Run Master Guide is completely implemented. System Anomaly Prediction requires you to additionally install R. Before you proceed with the setup, kindly refer the R sizing SAP Note 2686042. For more information, see the SAP HANA R Integration Guide for System Anomaly Prediction for SUSE or Red Hat:
Please execute the guide completely and verify the installation with chapter 6.4 Validation.
The configuration can be done in the System Monitoring application only.
System Analysis:
Schedule the following background jobs, using transaction SM36, and select as Target, the previously-created Job Server Group FRN_JOB_PUBLIC. These jobs cannot be scheduled via task list and must be scheduled manually.
Job Name | Define Step User | ABAP Program Name | Start Time | Period Value |
---|---|---|---|---|
SAP_FRN_PAS_ANOMALY_ENGINE | FRN_BTC_PAS | PAS_ANOMALY_ENGINE | Immediate | 5 Min |
SAP_FRN_PAS_ANOMALY_HK | FRN_BTC_PAS | PAS_ANOMALY_HOUSEKEEPING | 00:30 am | Daily |
If you as an administrator have the roles for system anomaly prediction configuration, you can activate and maintain models for prediction scenario. The concept of variant is not available from SAP Focused Run 2.0 onwards. You need to run the migration report PAS_CONF_MIGRATION to migrate from variant-based configuration to system-based configuration. If you do not run this report program, you will not see the systems which were activated for prediction in SAP Focused Run 1.0 SP00 now in the new SAP Focused Run 3.0.
Predictive applications store the user ID in the following tables;
If you want to check whether personal data is stored in the application, you can execute the report PAS_PERS_DATA_USAGE.
Personal data that is stored in the application can be deleted by running the report PAS_PERS_DATA_DELETE.
The execution of the above-mentioned reports is logged in SLG1 using object “PAS”.
You can raise your incidents in the support component SV-FRN-APP-SYM.