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FivetranusedbyInova Health

How Inova Health uses Fivetran

ConfirmedVendor case study · Checked Nov 12, 2026
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The use case: how Inova Health deploys Fivetran

Inova Health uses Fivetran as the standard data movement layer to replace fragmented pipelines and unify data from on-prem systems, Epic, APIs and vendor platforms into a Databricks and dbt architecture. It also uses the Connector SDK for custom sources and Hybrid Deployment for tightly controlled environments, supporting analytics and AI initiatives.

More reported results

Figures published in Fivetran’s case study. They are not independently measured by usedby.

$800,000

Eliminated $800,000 in third-party spend by consolidating data ingestion and management workflows.

8x

Reduced data movement costs by up to 8x per terabyte per source.

500+

Cleared a backlog of 500+ data pipeline requests across the organization.

2 days

A key Emergency Department utilization dashboard was rebuilt in just 2 days, providing near real-time visibility into critical operational metrics.

In the customer’s words

This wasn’t just a modernization effort — it was a reset in how we think about data. We accelerated a 4-year roadmap into 6 months by standardizing on a modern architecture, with Fivetran as a critical foundation for making that possible.
Jon McManus, Chief Data and AI Officer, Inova Health — Source

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More stories

Go straight to the source

Based on Fivetran’s published case study. We check the public evidence; the results are reported by the vendor.

fivetran.com
Last checked
Nov 12, 2026
fivetran.comCaptured Fivetran case study about Inova HealthOpen source capture
What the story claims, and what we checked

What we compared with the page.

  • The figure: 6 monthsChecked

    Printed word for word on the page, near the name of Inova Health.

  • The passage quoted aboveChecked

    Copied word for word from the page, near the name of Inova Health.

  • Inova Health uses FivetranChecked

    Confirmed line.

  • The result itselfNot checked

    We quote it; we did not measure it.

With Fivetran, the organization unified dozens of data sources in just 6 months — an effort originally expected to take 4 years.
From the page. fivetran.com