Case Study: Fictiv achieves real-time manufacturing insights and 50% more data-team capacity with Sigma Computing

How Sigma Helps Fictiv Strengthen its Digital Manufacturing Ecosystem with Real-time Insights

Fictiv, a San Francisco–based digital manufacturing platform, struggled with BI bottlenecks: a small data team, a Snowflake warehouse, and a legacy analytics tool (Domo) that forced 90% of business users to export data to spreadsheets for analysis. These ad hoc requests and lack of true self‑service prevented timely insights into customer journeys, manufacturability, and partner performance.

Sigma Computing deployed a spreadsheet‑like, Snowflake‑native analytics solution that auto-generates SQL and offers visual data modeling, enabling self‑service exploration and real‑time analysis. As a result, Fictiv drastically cut ad hoc requests, freed up 50% of data-team time, accelerated discovery of manufacturability flaws across hundreds of thousands to millions of design permutations, and improved feature prioritization and cost reductions for customers.

Fictiv

Jim Ruga

Chief Architect