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How Allstate uses Domino Data Lab

26

“the scope of projects running on Domino organically grew from three to 26”

As published on domino.ai. Captured by usedby on Oct 7, 2026.

What happened

Allstate's data science organization uses Domino to develop, validate, deliver and monitor models for forecasting losses, gaining insight into claims, calculating customer lifetime value and predicting churn. Data scientists also share Shiny apps built in Domino with claims adjusters to get quick feedback on new models.

Summary written by usedby from the source page, in English. The figures are those of Domino Data Lab and Allstate, not ours.

  • 5,500 hours“The original three projects accumulated more than 5,500 hours of compute time, which equates to two and a half years of work.”
  • 17,000“Helping 17,000 adjusters resolve claims faster; that’s just one business outcome resulting from Allstate’s model-driven approach.”

Two months into the pilot, the scope of projects running on Domino organically grew from three to 26, as data scientists migrated their work to Domino for the productivity benefits.

From the page. domino.ai, captured Oct 7, 2026

Domino encourages us to experiment more, and we can go from idea to testing much more quickly and securely.

Stephen Collins, Data Science Manager, Allstate. Source, captured Oct 7, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 7, 2026.

  • The figure: 26CheckedPrinted word for word on the page, near the name of Allstate.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Allstate.
  • Allstate uses Domino Data LabCheckedConfirmed line. Latest check across sources: Oct 7, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

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