AI-generated summary
Genesys Cloud enables users to create and manage data tables with custom fields that define the data table schema through the Architect menu under Orchestration Assets. Users specify a unique table name (maximum), optional division assignment, description, and a reference key label when establishing new tables. The system supports four custom field types—Boolean, Integer, Decimal, and String—each requiring a field label and optional default values. When field labels are added, Genesys Cloud automatically generates corresponding API Field IDs for programmatic data access.
Data table rows are populated by entering reference key and custom field values. The reference key value cannot be modified after creation, though custom field values remain editable. Key constraints include: duplicate table names are prohibited, reference key labels cannot contain forward slashes or backslashes, custom fields cannot be deleted after the table is saved (requiring table duplication as an alternative), and API field values cannot be changed post-creation, though field labels may be updated.
Required permissions for data table management include Architect > Datatable permissions for table creation and deletion, and Architect > Datatable Row permissions for row management. Additional management capabilities for editing and deleting data tables and rows are available through the Manage a data table function. The interface includes a "Save & Create Another" option for adding multiple rows efficiently.
Genesys Cloud provides a feedback mechanism for users to report on documentation quality and helpfulness through a structured form that captures the reason for response, categorizing issues such as inaccurate or incomplete information, outdated content, or unclear presentation. The feedback form collects user role information and requires acknowledgment of the Genesys Cloud privacy policy. Related documentation covers routing, data table management, Architect functionality, data table lookup actions, import/export operations, decision tables, and associated data management workflows. Users unable to find answers in documentation can access community support resources for additional assistance