Cómo usa Cox 2M ThoughtSpot
88%
“time to actionable insights has reduced by 88%”
Tal como se publicó en thoughtspot.com. Verificado por usedby el 9 oct 2026.
Qué pasó
Cox 2M uses ThoughtSpot as the analytics layer on top of its existing data stack, including Google BigQuery. Business users ask questions in natural language to get answers from IoT data, instead of the data team building a new dashboard for each ad hoc request.
Resumen escrito por usedby a partir de la página de origen, en inglés. Las cifras son de ThoughtSpot y de Cox 2M, no nuestras.
- $70,000“The cumulative benefits of accelerated insights and alleviated data engineering personnel translates to more than $70,000 saved annually on cost-to-serve.”
- 1.5 hours“With our legacy tools, this process would have taken 5 hours, but with ThoughtSpot, we got the answers to our customer’s query in just 1.5 hours.”
Earlier it took more than five hours, that’s 20-plus hours per week, to handle ad hoc requests. But ever since ThoughtSpot was introduced to our data stack, time to actionable insights has reduced by 88%, courtesy of natural language querying.
ThoughtSpot’s Generative AI fulfills the promise of business users querying the data in natural language and getting back accurate answers.
Lo que dice la historia, y lo que verificamos
Lo que comparamos con la página.
- La cifra: 88%VerificadoImpresa palabra por palabra en la página, cerca del nombre de Cox 2M.
- El pasaje citado arribaVerificadoCopiado palabra por palabra de la página, cerca del nombre de Cox 2M.
- Cox 2M usa ThoughtSpotVerificadoLínea de nivel Confirmado.
- El resultado en síNo verificadoLo citamos; no lo medimos.
Más historias
Misma empresa, misma herramienta o mismo sector.
