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Mapping and Unmapping Activities

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Mapped Activities

Mapped activities are activities in your dataset that have been successfully linked to attributes within your process model. These activities are fully integrated into the canvas and contribute to building a complete process design.

ProcessMind canvas with mapped and unmapped activities

How Mapped Activities are Represented

  • Mapped activities are outlined with the dataset’s assigned color, so you can identify their origin.
  • Activities that are part of the dataset but not mapped into the model are shown with a translucent fill.

Linking Unmapped Activities

If you have unmapped activities, you can link them to modeled activities in three ways:

  1. Drag and Drop:
    Drag the unmapped activity from the dataset list and drop it directly onto the corresponding modeled activity on the canvas. This creates a link, indicating that the designed activity represents the same activity.

  2. Select from the Dataset:
    Select the designed activity on the canvas, and then, from the right-hand side panel, choose an activity from the dataset to map it. This establishes the connection directly.

  3. Use the Data Mapping panel
    In the right-hand Data Mapping panel, under the Mapped Activities header, click the plus (+) icon to open an activity picker and add activities to the selected task. You can also remove an activity from the task by clicking on the trash icon next to its name.

Add Multiple Activities to a Task

ProcessMind allows you to add multiple activities to a single task. This is useful when a task represents multiple actions or events in your process and you want to link multiple activities from your dataset to a single modeled activity. It is also possible to link activities to subprocesses and implode the subprocess so certain parts of the process flow can be hidden while still being linked to the dataset.

Data Flow Through

In cases where an activity is designed but not represented in the dataset (for example, a non-digital step), you can set the activity as a Data Flow Through activity.

  • Purpose: This allows the activity to remain part of the mapped activities without being included in calculations or statistical analyses.
  • Usage: Ideal for steps that are critical to the process but do not have digital footprints.

Benefits of Mapped Activities

  • Provide a structured view of your process, showing how datasets align with real-world operations.
  • Enable deeper analysis, allowing you to generate statistics, identify inefficiencies, and refine workflows.
  • Include non-digital steps without affecting the integrity of the data calculations.

Below is a short video that demonstrates these features, including how to map activities, set Data Flow Through activities, and visualize the results.

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