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Release: Australia · Updated: 2026-03-12 · Official documentation · View source

Managing an audit table

After the audit and record tables are created with the imported data, you can use them to create a project. You can also share, edit, empty, or delete the tables.

Parent Topic:Working with external datasets

Share the audit and record tables

Share the audit and record tables with the analyst to analyze the data. The audit and record tables are available only to the administrator. However, the administrator might want an analyst to look at the tables and create projects.

Before you begin

Role required: sn_process_mining_admin

Procedure

  1. Navigate to Workspaces > Process Mining Workspace.

  2. On the left of the page, select the External data integration icon (

Image omitted: ext-dataset-modules.png
External data integration icon\).
  1. Select a dataset that you want to share.

    The dataset opens in a new tab.

  2. Select Share.

Image omitted: ext-data-edit.png
Share dataset
The **External dataset permissions** tab is displayed.
  1. Select New.

    The Create New Permission page is displayed.

  2. Select a user, role, or group, and select Save.

Image omitted: ext-dataset-share.png
Permissions for sharing tables
Every user with the specified permission can access the audit and record tables.

Edit a dataset

Edit a dataset if you want to change the dataset, such as add or delete data from the current dataset.

Before you begin

Role required: sn_process_mining_admin

Procedure

  1. Navigate to Workspaces > Process Mining Workspace.

  2. On the left of the page, select the External data integration icon (

Image omitted: ext-dataset-modules.png
External data integration icon\).
  1. Select a dataset that you want to edit.

    The dataset opens in a new tab.

  2. Select Edit dataset from the dataset tab.

Image omitted: ext-data-edit.png
Edit dataset
You are taken back to the **Import data** tab. You can import the new data that you want to populate in the table. For steps to import data, see [Import data into the audit table](import-data.md).

Empty a dataset

Empty a dataset when you want to remove the old data and import new data from the same external system to the same table.

Before you begin

Role required: sn_process_mining_admin

Procedure

  1. Navigate to Workspaces > Process Mining Workspace.

  2. On the left of the page, select the External data integration icon (

Image omitted: ext-dataset-modules.png
External data integration icon\).
  1. Select a dataset that you want to empty.

    The dataset opens in a new tab.

  2. Select Empty dataset from the dataset tab.

Image omitted: ext-data-man.png
Empty dataset
A dialog box appears requesting you to confirm that you want to empty the selected dataset.
  1. Type “Empty” in the confirmation area, and select Empty dataset.

    The content from the audit and record tables are removed. After you’ve emptied the dataset, you can import any dataset again. For steps to import data, see Import data into the audit table.

Delete a dataset

Delete a dataset when the dataset is no longer needed. Your analysis is complete, and you want to delete the entire tables.

Before you begin

Role required: sn_process_mining_admin

Procedure

  1. Navigate to Workspaces > Process Mining Workspace.

  2. On the left of the page, select the External data integration icon (

Image omitted: ext-dataset-modules.png
External data integration icon\).
  1. Select a dataset that you want to delete.

    The dataset opens in a new tab.

  2. Select Delete dataset from the dataset tab.

Image omitted: ext-data-man.png
Delete dataset
A dialog box appears requesting you to confirm that you want to delete the selected dataset.
  1. Type “Delete” in the confirmation area, and select Delete dataset.

    The data from the audit and record tables, and the associated Process Mining projects are removed.

    Note: The tables aren’t deleted. Only data is deleted. If you want to delete the tables, the administrator must delete them manually. The administrator must delete the tables periodically.