Snowflake sources for Sigma
The tables, datasets, joins, and calculations business users should use in each workbook.
Sigma Computing
Sigma consulting
We connect Snowflake models to Sigma, build the workbooks, and define calculations so teams do not calculate the same number in different ways.
Good fit
When this work is worth doing
- People export data to spreadsheets because the current BI tool is too rigid.
- Sigma workbooks exist, but their metrics are hard to trace back to the source data.
- Business users need modeled tables without opening raw Snowflake schemas or redefining metrics in each workbook.
- Workbook filters, row-level detail, totals, or refreshes produce the wrong answer.
What we do
Models, pipelines, reports, and operating notes
Workbook and dashboard builds
We build operating reports, executive dashboards, drill paths, controls, and printable outputs for the questions each audience needs to answer.
Writeback and approval workflows
We build input tables, comments, and approval steps in Sigma when users need to enter or update data.
Workbook repair and QA
We check formulas, filters, row-level detail, refreshes, layouts, and permissions in the published workbook, then fix what is wrong.
How we work
Start with the decision, then trace the data
Name the decision
We define who will use the workbook, what they need to decide, and what a correct answer looks like.
Define grain and ownership
We pin down keys, calculations, refresh timing, and ownership before those choices get buried in a workbook.
Build and test the workbook
We test filters, totals, drill paths, permissions, responsive layouts, and the published workbook.
Guides
Setup and troubleshooting guides
A practical first step
Start with the problem
You don't need a finished requirements document. Start with a number the team doesn't trust, a report that takes too long, or a warehouse bill that keeps climbing.
Discuss your data problem