What's new in IBM Process Mining 2.0.1

Migration of MongoDB to PostgreSQL

In IBM Process Mining 2.0.1, MongoDB is replaced by PostgreSQL. For more information, see the following sections for non-containerized on-premises installation on Linux and Red Hat OpenShift Container platform installation:

• Databases
• PostgreSQL migration
• System requirements for on-premises installation
• Basic setup
• System requirements for Red Hat OpenShift Container platform installation

PostgreSQL for IBM Task Mining

PostgreSQL can now be used for IBM Task Mining. You now have only one database to maintain.

Airgap 3.0 on Red Hat OpenShift Container Platform environments

Air-gapped installation is now more streamlined and simpler to perform with new architecture and new oc plugins. For more information, see Air-gapped installation (offline).

Goal-driven Simulation in BPMN

In IBM Process Mining 2.0.1, you can create synthetic event logs from BPMN data. For more information, see Creating a Process Mining project.

Analytics and custom metrics improvements

In IBM Process Mining 2.0.1, Analytics and custom metrics are improved in the following aspects:

Autocomplete and more customizable SQL statements
When you edit widgets, the Measures and Filters fields now list all the available data sources (event logs and object tables) in the autocomplete dropdown list. You can add a dot after the data source name to see all the columns available for that table.

Better UX with guided join experience
When you join tables, you can only select tables that can be properly connected.

Grouping custom metric dimensions
When you create custom metrics, you can now group by the eventlog column and evaluate more specific KPIs.

LDAP/SAML group mapping with IBM Process Mining admin

In IBM Process Mining 2.0.1, you can use LDAP and SAML group mapping through the product interface in the Administration tab.

New filtering options

In IBM Process Mining 2.0.1, you can apply performance filters based on process cost. You can also choose whether you want filter templates to override, or to be applied on top of the currently applied filters. What's more, when applying new filters, you can now only see the values that were not filtered out by the previously applied filters.