The use case: how Saddle Creek Logistics deploys Sigma
Saddle Creek Logistics uses Sigma on top of Databricks to replace a 17-year-old legacy BI tool, consolidating static finance reports into a governed workbook with row-level security. The team also uses Sigma's writeback input tables to track report migration and let users add context to data.
More reported results
Figures published in Sigma’s case study. They are not independently measured by usedby.
consolidating 33,000 legacy objects and 600+ reports down to fewer than 30 governed Sigma workbooks
For the finance team alone, that means going from over 1,500 reports to a single, interactive workbook.
In the customer’s words
It’s about creating a single version of truth. When everyone is working from the same data, we move faster, make better decisions, and eliminate the guesswork.Other AI tools used by Saddle Creek Logistics
Other public relationships recorded on usedby.
Explore Saddle Creek Logistics’s AI stackOther companies using Sigma
Customers across industries, with public evidence.
AffirmConfirmed
Armstrong Transport GroupConfirmed
BiltConfirmed
ClayConfirmed
Conagra BrandsConfirmedGo straight to the source
Based on Sigma’s published case study. We check the public evidence; the results are reported by the vendor.
sigmacomputing.com- Source published
- Jul 18, 2025
- Last checked
- Nov 14, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: under an hourChecked
Printed word for word on the page, near the name of Saddle Creek Logistics.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Saddle Creek Logistics.
- The numbers in our summaryChecked
Each one is printed on the page.
- The publication dateChecked
Read from the page’s own metadata, never guessed.
- Saddle Creek Logistics uses SigmaChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Internally, the team began consolidating 150+ static finance reports into a single, governed workbook, with row-level security flowing from Sigma to Databricks. It was a major step toward creating a shared, trusted view of the business.

