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How Cox 2M uses ThoughtSpot

88%

“time to actionable insights has reduced by 88%”

As published on thoughtspot.com. Checked by usedby on Oct 9, 2026.

What happened

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.

Summary written by usedby from the source page, in English. The figures are those of ThoughtSpot and Cox 2M, not ours.

  • $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.

From the page. thoughtspot.com

ThoughtSpot’s Generative AI fulfills the promise of business users querying the data in natural language and getting back accurate answers.

Josh Horton, Senior Lead, Data Strategy & Analytics, Cox 2M. Source

What the story claims, and what we checked

What we compared with the page.

  • The figure: 88%CheckedPrinted word for word on the page, near the name of Cox 2M.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Cox 2M.
  • Cox 2M uses ThoughtSpotCheckedConfirmed line.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

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