Migrating widgets to IBM Process Mining 2.x

The following widgets are still supported in IBM Process Mining NextGen:

Preconfigured widgets
- Process model
- Filter summary
- Case variants
- Lead time distribution
- Case KPI summary
Configurable filters
- Elastic
- Matrix
- Table
Use the Elastic widget instead of the Table widget to use all IBM Process Mining NextGen's capabilities.
- Annotation
- Card

Widgets that were created in IBM Process Mining Legacy projects and migrated to IBM Process Mining NextGen are visible but not supported. They can be recreated with the Elastic widget:

Configurable legacy widgets
- Line
- Area
- Bar
- Row
- Stacked
- Bubble
Re-create the Bubble chart by using the Scatter chart type of the elastic widgets.
- Scatter
- Pie
- Custom

Widgets that were created in IBM Process Mining Legacy projects and migrated to IBM Process Mining NextGen are still supported.

Custom widgets

Legacy Custom widgets are supported in IBM Process Mining NextGen only if they do not have any legacy backend logic.

Use the Elastic widget and the custom chart type to create custom widgets in IBM Process Mining NextGen.

To re-create the functions of the IBM Process Mining Legacy widgets in IBM Process Mining NextGen, use the following configurations of the Elastic widget.

Activity monitor

Configuration

Table 1. Dimensions to recreate activity monitor widget

Dimensions
`DATE(End-Time)`

Table 2. Measures to recreate activity monitor widget

Measures
`# Activities`	`count(*)`	Number
`Sum ServiceTime`	`sum(servicetime)`	Lead time

Style

To re-create the Resource filter functions, you can use the widget filter, or use resource as a second dimension and select stacked bar chart as chart type.

Case list

Predictive Analytics is unavailable for IBM Process Mining NextGen.

Configuration

Table 3. Dimensions to recreate case list widget

Dimensions
`Case ID`

Table 4. Measures to recreate activity monitor widget

Measures
`Is Running`	`IS_RUNNING`	Text
`LeadTime`	`leadtime`	Lead time
`Cost`	`casecost()`	Amount
`Time % overall`	`leadtime/overall_leadtime`	Percentage
`Cost % overall`	`casecost() / overall_casecost`	Percentage
`Reworks`	`count(activity)-count(distinct(activity))`	Number

To use overall_leadtime and overall_casecost, create the two following project-level custom metrics. They can also be used for any other comparison.

Case status

Configuration

Table 5. Dimensions to recreate case status widget

Dimensions
`IS_RUNNING`

Table 6. Measures to recreate case status widget

Measures
`# Cases`	`count(distinct(caseid))`	Number

Style

Influencers

You can use the Prescriptive Process Mining to understand which attributes or activities have the highest negative impact on LeadTime. For more information, see Prescriptive Process Mining

Path time histogram

Numeric distributions are unavailable in IBM Process Mining NextGen.

To use Pathtime as a dimension, create a case-level custom metric and specify the activity interval you want to consider:

Use the following Elastic widget configuration to have the same functions:

Configuration

Table 7. Dimensions to recreate path time histogram widget

Dimensions
`OPEN_RESOLUTION_PATHTIME`

Table 8. Measures to recreate path time histogram widget

Measures
`# Cases`	`count(distinct(caseid))`	Number

Table 9. Filters to recreate path time histogram widget

Filters
`OPEN_RESOLUTION_PATHTIME > 0`

Style

To use Pathtime as a dimension, create a case-level custom metric and specify the activity interval you want to consider:

Activity rework

Configuration

Table 10. Dimensions to recreate activity rework widget

Dimensions
`Activity`

Table 11. Measures to recreate activity rework widget

Measures
`Rework ratio`	`count(activity)/count(distinct(caseid))`	Number
`# Reworks`	`count(activity) - count(distinct(caseid))`	Number
`Rework cost`	`sum(eventcost)*(count(activity) - count(distinct(case)))`	Amount

Activity trend

Configuration

Table 12. Dimensions to recreate activity trend widget

Dimensions
`DATE(End-Time)`

Table 13. Measures to recreate activity trend widget

Measures
`# Completed Case`	`count(distinct(caseid))`	Number

Table 14. Filters to recreate activity trend widget

Filters
`IS_RUNNING = 0`

Style

Automation trend

Configuration

Table 15. Dimensions to recreate automation trend widget

Dimensions
`DATE(End-Time)`
`"m/a"`

The "m/a" value refers to the column that you inserted as an automation attribute. For more information, see Attributes.

Table 16. Measures to recreate automation trend widget

Measures
`Activities`	`count(*)`	Number
`Resources`	`count(distinct(resource))`	Number

You can use either Activities or Resources as a measure according to your preferences. To see both measures at once, use the custom chart type.

You can implement more advanced configurations by using the custom chart style.

Style

Behavior influencers

You can use the Prescriptive Process Mining to understand which attributes or activities have the highest negative impact on custom KPIs. For more information, see Prescriptive Process Mining.

Block stats

To re-create the functions of the Block stats widget, use the Card widget. Custom statistics can be created by using Custom metrics. For more information, see Custom metrics section.

Changes and automation stats

To re-create the function of the Changes and automation stats widget, use the Card widget. Custom statistics can be created by using Custom metrics. For more information, see Custom metrics.