Case Study: Cox 2M cuts time to insights 88% and saves $70,000+ a year with ThoughtSpot
Key results
The challenge
Cox 2M's legacy analytics tools created bottlenecks, with ad hoc requests taking more than five hours each while the team processed over 1.5 million IoT messages hourly and 13 billion data rows a year. Handling these requests cost the business over $90,000 annually.
The solution
Cox 2M implemented ThoughtSpot's AI-powered analytics with natural-language querying, integrated with Google BigQuery and its existing data infrastructure, so business users could ask questions in plain language and get accurate answers.
“ThoughtSpot's Generative AI fulfills the promise of business users querying the data in natural language and getting back accurate answers.”
JHJosh HortonSenior Lead, Data Strategy & Analytics, Cox 2M
The results, in context
With natural-language querying, time to actionable insights reduced by 88%, and time spent structuring data fell 75% (from a few hours per dashboard to about 15 minutes). The changes delivered more than $70,000 in annual savings on cost-to-serve.