Optimize 10.3.0 | webMethods Optimize Documentation | Administering webMethods Optimize | For System Administrators | Configuring KPIs | Mapping Events | Adding a New Event Map | Adding an Event Map that Combines Business Data with Process and Step Metrics
 
Adding an Event Map that Combines Business Data with Process and Step Metrics
*To add an event map that combines business data with process and step metrics in Optimize for Process
1. In My webMethods navigate the following path: Navigate > Applications > Administration > Analytics > KPIs > Business Data
2. Click Add Event Map.
The Add Event Map page is displayed.
3. Complete the fields in the Event Information panel, making sure a business process is selected in the Business Process field.
4. To combine business data with process and step metrics, click Add Intrinsic Fields in the Field Mapping panel.
5. In the popup list, select the intrinsic process metrics that you want to include with this event map. The list shows only those intrinsic process metrics not already defined in the event map.
The following table describes all the intrinsic process metrics that are available.
Field (Process Metric) Name
Display Name and Type
Description
Process
Name: Process
Type: Dimension
The process model external ID, from the BAM_PT_PROCESS_
META table (process key from WMPROCESSDEFINITION). This is the unique identifier of the process model.
ProcessInstanceId
Name: Process Instance Id
Type: Transaction
The unique identifier of a process instance. The primary key of the process instance record in the BAM_PT_PROCESS_
INST table.
Step
Name: Step
Type: Dimension
A unique step identifier within a process. The step external ID in the BAM_PT_STEP_META table (step ID in WMSTEPDEFINITION).
StepIteration
Name: Step Iteration
Type: Dimension
The step iteration.
ProcessError
Name: Process Error
Type: Dimension
The error type of a process or step error. This maps to the ErrorType attribute of the ProcessError dimension.
process_instance_count
Name: Process Instance Count
Type: Fact (SUM)
The indication of a new process instance. This metric is always set to either 0 or 1.
process_cycle_time
Name: Process Cycle Time
Type: Fact (AVG) in milliseconds
The duration of a process instance (the sum of the step processing times for all step iterations of all steps).
process_success_count
Name: Process Success Count
Type: Fact (SUM)
The indication of a process instance that completed without error.

process_error_count
Name: Process Error Count
Type: Fact (SUM)
The indication of one or more errors associated with a process instance.
If Process Engine executes the process, the process instance is cancelled shortly after an error occurs. This generates an additional event with the following readings:
process_error_count=0
and
process_cancelled
_count=1.
process_cancelled _count
Name: Process Cancellation Count
Type: Fact (SUM)
The indication of a process instance that either was cancelled, or failed when executed by Process Engine.
step_error_count
Name: Step Error Count
Type: Fact (SUM)
The number of step errors.
step_processing_time
Name: Step Processing Time
Type: Fact (AVG) in milliseconds
The duration of a step (the time between the start and stop operations of a step).
step_wait_time
Name: Step Wait Time
Type: Fact (AVG) in milliseconds
The duration of the transition between two steps (the time between the stop operation of the source step and the start operation of the target step, where the Step field is the target step of the transition).
step_instance_count
Name: Step Instance Count
Type: Fact (SUM)
The indication of a new step instance for a given process instance.