We are excited to announce new features and enhancements for the 1.13.2 release of IBM Process Mining. This announcement highlights new features and enhancements available within the 1.13.2 release of the product.

New Features: 

• 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.
  
  

For more information on the this release, visit the Knowledge Center. To learn more about IBM Process Mining, visit our Product Page or navigate through our free 30-day trial.