Case Study: F1000 Logistics Real Estate achieves fast, compliant GL reporting with Sigma Computing

A Sigma Computing Case Study

Preview of the F1000 Logistics Real Estate Case Study

F1000 Logistics Real Estate Leader Turns to Sigma to Ensure Compliance

F1000 Logistics Real Estate, a logistics leader whose warehouses handled 6.3% of U.S. GDP and $4.4B in revenue, faced a major FP&A challenge: its general ledger exceeded 500 million rows and Tableau repeatedly crashed when filtering the GL, forcing the accounting team to export Snowflake data into multiple Excel files for weekly bad-debt and compliance reviews. These manual workarounds created security and version-control risks, delayed a critical weekly report (taking more than two hours), and were estimated to cost the company $2.4M–$3.6M per year — so F1000 turned to Sigma Computing for a better approach.

Sigma Computing implemented a cloud-native, Snowflake-native solution that gives the accounting team direct access to live, governed Snowflake data via Sigma’s spreadsheet-style interface. The new dashboard lets users monitor local books, review every transaction and take snapshots across the company in real time; the GL report now runs in about two minutes instead of hours, enabling self-service analysis of millions of rows, eliminating risky extracts, and addressing the previously estimated $2.4M–$3.6M annual waste.


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