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          • column_to_predict
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          • scores
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          • postprocessing
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      • Getting started
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  • Apps
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  • Users
    • User roles
  • Best practices
    • Performance analysis and ML model improvement
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  1. Users

User roles

PreviousDatasetsNextPerformance analysis and ML model improvement

Last updated 1 year ago

To manage roles, first select the settings at the bottom left of the page:

Once in Settings, select the users tab in the menu. If you're admin, you'll then have access to all users in the project concerned, and you can add/modify/delete users by assigning them different roles.

To add a user, simply press the "invite" button in the top right-hand corner of the window. You can then enter the user's e-mail address and assign a role:

the different roles are as follows:

  • Admin: access to the entire project (pipeline, dataset, app, recipe...) and manage user roles.

  • Project manager:

  • Data expert:

  • Business expert: application access (Output and Dashboard)

Action
Admin
Project manager
Data expert
Business expert

Create Business Case Creation of an app

Create & Delete datasource/dataset

Create & delete experiment

Create & delete pipeline

Attach business case to experiment

Delete

Edit

Export to datasource

Invite admin

Invite data expert

Invite project manager

Invite users

View

View running resources

View datasource/dataset

View event

View experiment

Create & delete recurring export

Create & delete export

View export

View optimization

Create & delete optimization

View pipeline

View project user

View business cases

Launch business case forecast

launch business case optimisation

Visualize forecast results

Visualize optimisation results

View business case runs

Edit business case