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How Verisk uses ThoughtSpot

60%

“Realized an estimated 60% reduction in development time for pre-built dashboards”

As published on thoughtspot.com. Captured by usedby on Oct 5, 2026.

What happened

Verisk embeds ThoughtSpot Spotter into its SAVi-R and SAVi-R CAT regulatory intelligence products so state insurance regulators can analyze premium, loss, and catastrophe data through self-service, instead of waiting on back-and-forth requests.

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

  • 50%“Achieved approximately a 50% reduction in implementation effort per state, driven by accelerated dashboard delivery and expanded self-service capabilities.”
  • 22%“Since enabling ThoughtSpot, Verisk has grown its department user base by 22% for SAVi-R and by 50% for SAVi-R CAT.”
  • 12 weeks“Despite being a small team and this being our first time using ThoughtSpot, we were in production in just 12 weeks.”
  • 250 million“Verisk’s regulatory intelligence products, SAVi-R and SAVi-R CAT, handle over 250 million records of insurance premium, loss, and catastrophe data.”

Achieved approximately a 50% reduction in implementation effort per state, driven by accelerated dashboard delivery and expanded self-service capabilities.

From the page. thoughtspot.com, captured Oct 5, 2026

ThoughtSpot is the most dev-friendly AI data analytics tool we’ve seen.

Aria Moshari, Director of Software Engineering, Verisk. Source, captured Oct 5, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 5, 2026.

  • The figure: 60%CheckedPrinted word for word on the page, near the name of Verisk.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Verisk.
  • Verisk uses ThoughtSpotCheckedConfirmed line. Latest check across sources: Oct 5, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

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