Cloud Portal ONE Desktop ONE DQ&C ONE MDM ONE RDM ONE Runtime Server
User Community Service Desk Downloads

January 2026

This release introduces new ways to work with reference data, making it easier to create well-structured tables and keep them current with fresh data from source systems.

AI-assisted table modeling during import

When importing XLSX or CSV files, AI analyzes your source data and suggests optimal table structures. Refine the model through natural language conversation, preview it visually, and generate descriptions—all before finalizing the import.

You can:

  • Let AI analyze your data and suggest an optimal table structure.

  • Refine the structure interactively using natural language prompts.

  • Preview the model visually on a canvas before finalizing.

  • Generate AI-powered descriptions during or after import.

The AI understands conversational requests like "Add a new table for policies" or "Remove the status field", making adjustments easy without manual configuration.

For details, see Import data from a file.

Import data into existing reference data tables

Refresh reference data tables with new records from source systems without rebuilding from scratch.

Choose the import method that fits your workflow:

  • Via transformation plan: Build reusable imports with data transformations and optional scheduling for automated refreshes.

  • From file: Upload XLS, XLSX, CSV, or TSV files for one-time or ad-hoc updates.

Both methods let you add new records or update existing ones based on matching attributes while preserving your table structure and history.

For details, see Import Data into Existing Tables.

Was this page useful?