2.2.3 Configuration Phase – Determine event correlation data.
This step consists in determining which part of the message payload will be used to correlate instances. The term
instance correlation refers to the unique identificationof an event for a particular process instance or activity during
execution. For example, for an order process, the order number may be used to match the start and end of the event
sequence in the timeline. The event correlation is on the execution critical path, and they must occur timely with
their own process definitions. Without the ability to correlateevents, it is not possible to generate metrics or Key
15 Alejandro Vera-Baquero et al. / Procedia Technology 16 ( 2014 ) 11 – 21
Performance Indicators (KPI) per process instance or activity [7]. Furthermore, ifthe correlation data is wrongly
chosen, the metrics would be incorrect, leading to a poor accuracy and loss of quality on analytical data. In this
phase we must look close into the business process model table and identify the relationships between processes.
The common properties along the business process will reveal good candidates for using their values as correlation
data.
2.2.3 Configuration Phase – Determine event correlation data.
This step consists in determining which part of the message payload will be used to correlate instances. The term
instance correlation refers to the unique identificationof an event for a particular process instance or activity during
execution. For example, for an order process, the order number may be used to match the start and end of the event
sequence in the timeline. The event correlation is on the execution critical path, and they must occur timely with
their own process definitions. Without the ability to correlateevents, it is not possible to generate metrics or Key
15 Alejandro Vera-Baquero et al. / Procedia Technology 16 ( 2014 ) 11 – 21
Performance Indicators (KPI) per process instance or activity [7]. Furthermore, ifthe correlation data is wrongly
chosen, the metrics would be incorrect, leading to a poor accuracy and loss of quality on analytical data. In this
phase we must look close into the business process model table and identify the relationships between processes.
The common properties along the business process will reveal good candidates for using their values as correlation
data.
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