Detect jobs that are taking longer or shorter than expected.
Using machine learning for batch jobs can help you detect anomalies in job duration and allow you to review your job schedules. The Outlier Jobs Detection job template uses a machine learning algorithm, namely the density-based clustering algorithm (DBSCAN), to determine the outlier jobs.
Overview
Resource Usage Outlier Detection
Identify periods of high resource usage during outlier executions
Resource Rescheduling Optimization
Enable rescheduling to quieter periods for better resource utilization
Job Schedule Anomaly Optimization
Review and optimize job schedules based on detected anomalies, potentially improving overall system efficiency
Details
Solution type
AI Feature
Compatibility
Works with
SAP Integrated Business Planning
Plans and pricing
Choose a base plan
SAP Integrated Business Planning, Outlier Job Detection
Details:
AI Units are not currently required to use this AI offering in the underlying Cloud Service. This is subject to change.
- Contract duration available upon request
Details:
AI Units are not currently required to use this AI offering in the underlying Cloud Service. This is subject to change.
