Case Study: Cox 2M achieves 8x faster time to insights with ThoughtSpot

Cox 2M sends legacy analytics tool to the scrapyard and reduces time to insights by 76% with ThoughtSpot and Google BigQuery

Cox 2M, a data-driven company managing massive real-time IoT and automotive auction data, was struggling with slow, inefficient legacy BI tools that made every ad hoc request a manual effort. The team often had to build new dashboards for each query, taking more than five hours per request and driving up cost and frustration for both the data team and leadership. Cox 2M turned to ThoughtSpot and its AI-powered analytics to speed up access to insights.

ThoughtSpot enabled Cox 2M to use natural language search and real-time analytics directly on its existing data stack, including Google BigQuery, without constantly creating new dashboards. As a result, time to actionable insights improved by 88% (an 8x improvement), data structuring time dropped by 75%, and visualization time fell from about an hour per chart to minutes. ThoughtSpot also helped Cox 2M save more than $70,000 annually in cost-to-serve and freed the data team to focus on higher-value work.

Cox 2M

Josh Horton

Senior Lead, Data Strategy & Analytics