- Release notes
- Before you begin
- Getting started
- Integrations
- Working with process apps
- Working with dashboards and charts
- Working with process graphs
- Working with Discover process models and Import BPMN models
- Showing or hiding the menu
- Context information
- Export
- Filters
- Sending automation ideas to UiPath® Automation Hub
- Tags
- Due dates
- Compare
- Conformance checking
- Root cause analysis
- Simulating automation potential
- Triggering an automation from a process app
- Viewing Process data
- Creating apps
- Loading data
- Customizing process apps
- App templates
- Additional resources
- Out-of-the-box Tags and Due dates
- Editing data transformations in a local environment
- Setting up a local test environment
- Designing an event log
- Extending the SAP Ariba extraction tool
- Performance characteristics
Analysis - Event analysis
Analysis - Event analysis is the main dashboard where you can analyze the events that occur in the Purchase-to-Pay process.
The information displayed in the dashboard is based on the creation date of the purchase order items. The Period filter in the Filter panel enables you to select a period to display the purchase order items that were created in the selected period.
Below is a description of the KPIs that are displayed at the top Analysis - Event analysis dashboard.
|
KPI |
Description |
|---|---|
|
Avg. event throughput time |
The average event throughput time for purchase order item events. |
|
Total item value |
The total value of the purchase order items. |
|
Number of items |
The total number of unique purchase 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 purchase 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 purchase 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 purchase order item events regarding the selected field.
|
Metric |
Description |
Base |
|---|---|---|
|
Number of items |
The number of unique purchase order items, created within the selected period. |
Purchase order items |
|
Number of events |
The number of unique purchase order item events, within the selected period. |
Purchase order item end to end events |
|
Avg. number of events |
The average number of events that were performed on purchase order items, within the selected period. |
Purchase order item end to end events |
|
Avg. event throughput time |
The average throughput time of all purchase order items events, within the selected period. |
Purchase 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 Purchase-to-Pay process based on the number of events.
You can select a different metric from the activity and edge metrics selector to display the process graph based on different metrics. Below is a description of the available metrics.
|
Metric |
Description |
Base |
|---|---|---|
|
Number of items |
The number of unique purchase order items, created within the selected period. |
Purchase order items |
|
Number of events |
The number of unique purchase order item events, within the selected period. |
Purchase order item end to end events |
|
Avg. number of events |
The average number of events that were performed on purchase order items, within the selected period. |
Purchase order item end to end events |
|
Avg. event throughput time |
The average throughput time of all purchase order items events, within the selected period. |
Purchase order item end to end events |
