Workspace Settings

This guide provides essential insights on customizing your workspace settings effectively. This ensures optimal accessibility and control over your data.

1. Access Workspace Settings:

Click on the "Settings" icon adjacent to your workspace in the "Home" page.

1. Configure General Settings:

• In the "General" section, give your workspace a meaningful name that reflects your team or project

• Choose your preferred experience:

  • Power Mode: Advanced features with drag and drop functionality and custom SQL mode

  • Chat Mode: Simplified interface for users to ask natural language questions about data

• Then choose the desired data connection: Data Source or Data Mart and also select the name of Data Source/Data Mart from the dropdown.

• You can set specific themes to your workspace and enable the "Metric Summary" option to summarize your metric.

• Delete the workspace if needed.

1. Configure Access Control:

In the "Access Control" section, you can set access permissions for your end users by toggling the following options:

• "Metric Creation": Lets users create metrics.

• "Metric Deletion": Grants users the capability to erase metrics.

• "Manage Metrics": Enables users to manage the metrics displayed on your dashboard.

• "Metric Updation": Enables users to update metrics.

• "Change Dashboard Layout": Permits users to alter the dashboard's layout.

• "Schedule Email Reports": Enables users to schedule automated email reports for your metrics.

• "Underlying Data": Grants you access to view the raw data that supports each metric.

1. Configure Cache Settings:

Under "Cache Settings", toggle "Cache Settings" to enable or disable data caching.

1. Configure Download Settings:

Under "Download Settings" tab:

• Toggle "Download via E-Mail" to enable or disable downloading raw data.

• Control users' ability to download raw data. This is achieved by temporarily storing data in our S3 bucket for a designated duration.

  Finally, click on "Save" button to ensure a tailored workspace experience in Databrain.