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.

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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

מוצר זה תואם או משפר את הפונקציונאליות של פתרונות SAP אלה אך אינו דורש אותם.

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.
Price upon request
  • 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.

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