# How Navan uses ThoughtSpot

As published on [thoughtspot.com](https://www.thoughtspot.com/blog/scaling-financial-analytics-at-navan). Captured by usedby on 2026-10-09.

- Company: [Navan](https://www.usedby.ai/companies/navan.md)
- Tool: [ThoughtSpot](https://www.usedby.ai/tools/thoughtspot.md)
- Industry: [Travel & Hospitality](https://www.usedby.ai/companies/industry/travel-hospitality.md)
- Teams: finance teams, data team

## What the story says

Navan's finance teams use ThoughtSpot and its Spotter agentic analyst to ask questions of financial data in natural language and get answers based on governed metric definitions. It sits as the analytics layer on top of a stack built with Snowflake, dbt, Atlan and Monte Carlo.

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

> By implementing ThoughtSpot, Navan has empowered its finance teams to ask complex questions in natural language and receive instant, precise answers.

> With ThoughtSpot, teams can explore metrics themselves but on top of governed definitions. So the data team shifts from being report builders to platform builders.
>
> Bhuvan Bhatia, Staff Data Engineer at Navan

Source: [thoughtspot.com](https://www.thoughtspot.com/blog/scaling-financial-analytics-at-navan), captured 2026-10-09.

## What usedby checked

We compared the story with its live page on 2026-10-09.

- Checked: the passage quoted above is copied word for word from the page, near the name of Navan.
- Checked: Navan uses ThoughtSpot. Confirmed line. Latest check across sources: 2026-10-09.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/navan-thoughtspot · How we check: https://www.usedby.ai/methodology