The Process Discovery Kibana dashboard (elastic) is used in the pre-mining determinations to understand the process data with Kibana's intuitive and customizable visualizations. You can analyze your Process Discovery tenant data with Kibana.

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Use Process Discovery with the Kibana dashboard to analyze, manage, and visualize your process data in the form of charts, gauges, maps, graphs and more. The dashboard helps you analyze the process data and identify relevant processes for tracking in Process Discovery. You can then define your mining runs based on your findings.

This dashboard can be used by administrators, data analysts, and business users to discover insights into their data, visualize the data on dashboards, and share findings to influence automation decisions. Your data can be text, numerical data, time series data, geospatial data, logs, metrics, security events, and more. You can uncover patterns and relationships and visualize the results.

The Process Discovery Kibana dashboard provides three dashboards, such as Activity, Events, and User for all Process Discovery tenants to help you define process mining before passing the data for mining to the Process Discovery platform. The data is synchronized between your tenant and the Kibana dashboard. Watch the following video to use elastic to gain insights into your mining runs and processes.

Note: The examples and graphics provided on this page are for representation purposes only and may not accurately reflect your specific instance. We do not assume responsibility for their maintenance or accuracy.
The following image shows a Process Discovery Kibana Events dashboard:Process Discovery Kibana Dashboard
Description
1 The Events Count widget displays the total count of events collected by the observers.
2 The User Count widget displays the number of users.
3 The Machine Count widget displays the total number of machines used by the observers.
4 The Events by Application pie chart displays the distribution of applications accessed by the observers, revealing the most commonly used application, such as BillrMD.
5 The Application Breakdown by User bar graph displays the applications accessed by each user, allowing you to identify the common application among all observers.
6 The Events by Users exhibit the number of events captured by each user account.
7 The Screen Signature table displays the most common screen signatures.
8 The Control Types displays the percentage of interactions by types that the observers are performing. From the Pie chart, you notice that 23.34% of the observer's time is spent working in a table, and 19.02% is spent clicking buttons.
9 The Field Values table displays the percentage of interactions by field value as performed by the observers. From the table you can understand that the observers spent most of the time in a table, adding charges, and clicking the save button.
10 The Screen Signature Heat Map lets you determine the most common screen signature. From the chart, you can understand that 2433_Charge_ChargePosting_Posting is the common screen signature among all observers/users.

Kibana is a powerful tool that can be used to prepare data for creating mining runs in Process Discovery. By using Kibana to clean, analyze, and visualize the data, businesses can improve the accuracy and efficiency of their process mining efforts.