- Release notes
- Before you begin
- Getting started
- Integrations
- Managing access
- Working with process apps
- Creating apps
- Loading data
- Uploading data
- Retrieving the SQL Server database parameters
- Setting up a SQL Server account for data upload using an extractor
- Loading data using Theobald Xtract Universal
- Customizing process apps
- Data transformations
- TemplateOne app template
- Purchase to Pay app template
- Order to Cash app template
- Basic troubleshooting guide
Process Mining
Analysis - Event Analysis
Analysis - Event analysis is the main dashboard where you can analyze the events that occur in the Order-to-Cash process. Block or change events are recognized as deviations. These are events that you would ideally not want to happen. See the illustration below.
The information displayed in the dashboard is based on the creation date of the sales order items. The Period filter in the Filters panel enables you to select a period to display the sales order items that were created in the selected period.
Below is a description of the KPIs that are displayed at the top Analysis - Deviations dashboard.
KPI |
Description |
---|---|
Avg. event throughput time |
The average event throughput time for sales order item events. |
Blocks set |
The total number of block (set) events on sales order items. |
Changes |
The total number of change events on sales order items. |
Main events |
The total number of main events on sales order items. |
Total item value |
The total value of the sales order items. |
Number of items |
The total number of unique sales order items. |
Throughput time is the duration between the event end timestamps of two events that follow each other. In this case, waiting time and idle time are also calculated. Processing time is the time actually spent on the event. In this case, waiting time and idle time are not taken into account.
With the Details dashboard item, you can analyze the Sales order item events in more detail.
You can create various different contexts by selecting different fields from the drop-down list. For example, when you select the Activity trigger you can analyze the reason that triggered the sales order item event.
The metric selector enables you to select different metrics. Below is a description of the metrics that can be used to analyze the sales order item events regarding the selected field.
Metric |
Description |
Base |
---|---|---|
Number of items |
The number of unique sales order items, created within the selected period. |
Sales order items |
Number of events |
The number of unique sales order item events, within the selected period. |
Sales order item end to end events |
Avg. number of events |
The average number of events that were performed on sales order items, within the selected period. |
Sales order item end to end events |
Avg. event throughput time |
The average throughput time of all sales order items events, within the selected period. |
Sales order item end to end events |
The Distribution chart enables you to analyze the frequency of events based on the Event throughput time. See the illustration below.
The process graph displays the Order-to-Cash process based on the number of events. See the illustration below.
You can select a different metric from the metric selector to display the process graph based on a different metric. Below is a description of the available metrics.
Metric |
Description |
Base |
---|---|---|
Number of items |
The number of unique sales order items, created within the selected period. |
Sales order items |
Number of events |
The number of unique sales order item events, within the selected period. |
Sales order item end to end events |
Avg. number of events |
The average number of events that were performed on sales order items, within the selected period. |
Sales order item end to end events |
Avg. event throughput time |
The average throughput time of all sales order items events, within the selected period. |
Sales order item end to end events |
See also Working with process graphs.