Analyzing back office activity

Audrey M. Updated by Audrey M.

Users must have the "Browse analytics" permission to consult the Analytics dashboards.

The Back office dashboard enables the workspace administrator to monitor their workspace's configuration activity.

To see it, go to Analytics > Back office.

Filtering by date

By default, the filter is set to a two-week period, but you can specify the time period you wish to analyze.

Key indicators

Two key performance indicators are available:

  • Actions: This chart shows the total number of actions executed in your workspace's back office, grouped by object type (datasets, workspaces, and pages).
    Remember that, like with every chart on Opendatasoft, you can filter the variables displayed by clicking on the legend labels.
  • Users activity: When is the activity on your back office busiest? This chart shows the total number of logged-in user actions, grouped by the days of the week. This helps identify the days when your users are most active on the back office.

Interacting with data

  • Modified datasets, pages or workspaces: You can find the most updated objects in this table, which offers a more comprehensive view compared to the Actions chart.
    Click on the Show more button to access the complete list, with filtering and search options. If you click on the title of an object, you can view a detailed list of actions performed on it by the user.
  • Active Users: This table displays a list of users who have performed the most actions in your back office.
    By clicking on Show more, you can access the complete list, with filtering and search options. By clicking on a user's identifier, you can view the list of actions performed on the various modified objects.

Activity log dataset

To view the complete activity log dataset, click on See source data at the bottom of the dashboard.

The activity log dataset includes the following fields:

Field name

Field description

timestamp

Action timestamp

domain_id

Workspace ID

user_id

Identifier of the event owner

dataset_id

Id of the dataset if the action is relative to a specific dataset

username

Name of the user the action has an effect on

action

Action name (one of publish_dataset, add_dataset, edit_dataset, delete_dataset)

group_id

Identifier of the group concerned by the action

page_id

Identifier of the page concerned by the action

diff

Difference introduced by the action (for example, a new permission added to a user)

map_id

Identifier of the map

reuse_title

Title of the reuse

subdomain_id

Identifier of the secondary workspace where the action was made

How did we do?

Analyzing a single dataset with its monitoring dashboard

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