Release of IBM Process Mining 1.13.2

Content

• Integration with Data Streaming platforms: Users will be able to ingest data in near-real-time into IBM Process Mining to speed-up process monitoring and action triggering. This feature will include out-of-the-box connectors for IBM Event Stream & Kafka, and can be used as alternative to loading APIs. Data can be collected in queues (or topics) and follow a mini batch approach, by importing the data every X minutes/hours from the queue. In this way, users can monitor in near-real-time the flow of data and how it’s affecting the process model. IBM Process Mining can pull new data (based on the scheduling configurations) every X minutes/hours and import the new events in a new data chunk. This feature helps IBM Process Mining come closer to performing continuous monitoring.

• Custom Metrics Support: Enables users to create custom KPIs and share with the rest of the organization to better analyze processes. Such KPIs can be reused and be integrated as a filter. In the earlier editions of IBM Process Mining, user were limited to creating KPIs based on only cost and duration of activity. Now, users can create custom KPIs such as:

  • relations between activities and relevant data

  • handling values of relevant data (especially if numeric or dates)

  • computing a customized cost for the case

• Microsoft Outlook connector for Task Mining: A ready to use connector allowing enhanced data capturing (events collection) from Microsoft Outlook.

• Enhancements

  • Insight to action: Enhancements made to the extended capabilities on the monitoring item: enhanced scheduling, ability to add filter templates to the monitored items.

  • Augmented list of available Rest API including custom metrics an filters.

To learn more about IBM Process Mining

• What's new in IBM Process Mining 1.13.2

• Visit the Knowledge Center

• Visit the IBM Process Mining Product Page

• Navigate through our free 30-day trial.