The use case: how OUTFRONT Media deploys Fivetran
OUTFRONT uses Fivetran to replicate operational data from DB2, Salesforce, and ServiceNow into Apache Iceberg tables in Amazon S3, replacing nightly batch extractions with frequent refreshes. The data is then transformed with dbt and used for revenue forecasting, campaign delivery, and profitability reporting.
More reported results
Figures published in Fivetran’s case study. They are not independently measured by usedby.
In one recent example, the team added 10–15 new DB2 tables, synchronized 24 million rows, and began building downstream data models in a single day.
Leadership teams gained a scalable reporting foundation as OUTFRONT accelerated the migration of nearly 200 dashboards to its modern analytics platform, improving visibility into business performance as the company modernizes beyond Oracle.
This allowed a lean team of roughly 14 people to support enterprise-wide modernization efforts more efficiently.
In the customer’s words
Fivetran and dbt give us a consistent way to move, transform, and govern operational data so our business teams can access trusted insights faster. That foundation improves forecasting, campaign delivery, and profitability reporting while preparing us for future AI initiatives.Other AI tools used by OUTFRONT Media
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Explore OUTFRONT Media’s AI stack
Other companies using Fivetran
Customers across industries, with public evidence.
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Inova HealthConfirmedGo 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
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 15-minuteChecked
Printed word for word on the page, near the name of OUTFRONT Media.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of OUTFRONT Media.
- OUTFRONT Media uses FivetranChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
By combining automated change data capture (CDC) with direct replication into S3, OUTFRONT moved from nightly batch updates to 15-minute refreshes across all 3 sources.