Process data management

Process data management involves a wide range of tasks, such as extracting, transforming, and loading data. A process data pipeline is used to carry out these tasks. The process data pipeline regularly extracts data from a source system, transforms it, and loads it into a process. So, process analysts can always investigate latest representations of a process.

This section explains the following:

• What is required for the setup of process data pipelines

• How to set up and manage a process data pipeline

• What system connectors and data transformation templates are available

• How to create and manage connections and process data pipelines

• How to define the extraction and the transformation of data

Concepts

• Business process: The process that you want to analyze in your organization. When you set up a process data management pipeline, you model the business process in the process data pipeline.

• Business object: An artifact in the business process. A business object, for example a lead, consists of events and attributes.

• Events: Activities for a specific business object, for example the creation and qualification of a lead.

• Attributes: A characteristic of an event on event-level or case-level. For example, the name of the person that created a lead is an attribute on event-level. The ID of that person is an attribute on case-level.