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
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Details:
- This AI offering is included with Joule Base at no additional cost. A subscription to Joule Base is required to use it.
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Please keep in mind that in order to use this AI Agent/AI Feature, you will need the base product.
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Payment methods:
- Click on “Subscribe with Joule Base” to enable this AI Feature.
- Contract duration available upon request
-
Details:
- This AI offering is included with Joule Base at no additional cost. A subscription to Joule Base is required to use it.
-
Please keep in mind that in order to use this AI Agent/AI Feature, you will need the base product.
-
Payment methods:
- Click on “Subscribe with Joule Base” to enable this AI Feature.
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SAP Integrated Business Planning, Outlier Job Detection