We show how to take advantage of Snowflake Cortex to enrich data in Omni using modern LLMs. We show several examples of enriching marketing data, even layering interactive UI for selecting models or tuning prompts.

An early look at nested folders. Coming soon!

Continuing to enrich our dbt workflows, now layering in direct model editing (via pull request) in the Omni UI. Also layering in file search for the dbt viewer.

Plenty for analysts

• New support for complex joins (inequality, multi-condition, etc) in the UI. Continuing to lift as much of the modeling experience as we can into the UI.

• Putting the finishing touches on a URL rebuild for workbooks to stamp out the issue of dashboard tiles rearranging after workbook edits. This was a bigger lift than we expected, but excited to put it in the past.

• An early look at vertical reference lines on charts. Still work to do, but more actionable, clear charts coming soon.

• Now schedules can take advantage of dashboard controls for field swapping in delivered content.

• Continuing the build out of color controls in the model - now supporting measures (especially useful with filtered measures)

• Filter settings on the dashboard now allow for tooltips to add more metadata to dashboard filters

• Bit of tuning to subtotals to allow subtotaling over pivots as well.

More for developers

• Unveiling a new API for model building

• Speed is a first class category of work for Omni. Continuing the focus on keeping the app speedy through high concurrency, and hammering out hotspots.

• New toggle to trust certificates in MSSQL - supporting a default configuration for Microsoft customers