User Data Groups

User data groups define the data access level assigned to each user. These groups determine which tables and attributes a user can query. Each table and attribute within a dataset can be assigned to a data group, allowing administrators to precisely control user access at a granular level. This ensures that users only have access to the specific data they need, maintaining security, compliance, and operational efficiency.

• A user assigned to a specific data group can retrieve data from any table or attribute within that group.
• Any attempt to query data outside the assigned data groups will result in no data being returned.

Benefits of Data Group-Based Access

• Enhanced Security – Prevents unauthorised access to sensitive data.
• Regulatory Compliance – Supports compliance with data governance policies by restricting access to confidential information.
• Operational Flexibility – Different user roles (e.g., analysts, managers, external partners) can access only the data relevant to them.

By implementing data group-based access control, organisations ensure that data is securely managed, reducing exposure risks while maintaining user efficiency.

Default and Custom Data Groups

By default, several predefined data groups are available to an administrator for managing access permissions.

This applies to both integration types:

1. Direct Connection – When BetIntel.ai sits on top of the user’s own data warehouse.
2. BetIntel-Hosted Data – When BetIntel.ai pulls or receives data into its own data stores.

The default data groups are designed to accommodate most use cases. However, if a business requires customised user groups, additional data groups can be created and assigned to an administrator account upon request. For such requests contact the product team.

ℹ️ Click here for further information about Integration Methods.

Default User Data Groups

ℹ️ Click here for further information on How to Assign Data Groups to a User