Distribution Analysis
The unique distribution analysis allows you to find attributes associated with changes in the lead time of activities or waiting times between activities and therefore a shift in the distribution. This is made possible by the innovative use of Machine Learning!
Integration of standard deviation
With the standard deviation, we provide another key figure for you to generate even more meaningful insights when analyzing activities and to determine the dispersion in your event data.
From now on, this key figure is available in the discovered and target models, the variant overview and in the dashboards.
Further improvement of the root cause analysis
With this release, we are extending the root cause analysis for you: From now on, the attribute comparison analysis for numerical attributes is available to you. Furthermore, you now have the option to switch between absolute and relative values.
The comparative analysis allows you to identify possible causes in an overview by graphically comparing affected and unaffected cases.
Additional improvements
- Log names can now be adjusted in the UI
- Display of all logs in the header bar menu
- Revision of the follower filter
- Extension of the whitelabeling
- Variety of bug fixed
Transform strategically. Implement smartly. Optimize sustainably.
With LANA Process Mining you have full control over your digitization strategy. You can find out how LANA makes your company faster, more efficient and smarter by talking to our experts.
