Data Refinement and Agentic Data Prep

Randy Moss, Chhavi Oswal

What

Enable analysts to iteratively refine and explore existing Data preserving the same Data Object throughout.

Why

Enable continuous, self-service data refinement without creating new objects keeping analysts in the flow of exploration and insight.

Steps taken

Defined the target workflow around iterative refinement, change history, and in-place saves.

Current status

Under development (Targeted for 264)

Next up

Enhancements, agentic flows

What

Enable analysts to use natural language to clean, transform, and enrich data in place through an agentic Data Lens experience.

Why

Make data preparation faster and more accessible through natural-language requests.

Steps taken

Designed and enabled core agentic data prep actions including splitting, merging, formatting, and filtering columns.

Current status

Under development (Targeted for 264)

Next up

Integrated in full conversation mode, fetch data profile, recommendations