How Genius AI Migrated Complex Data Pipelines to Matia in a Few Weeks

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Genius AI's data stack was assembled over 10 years from a mix of vendors, and it was hard to maintain. Brady Allchin, VP of Engineering, wanted the team to deliver a reliable data pipeline to stakeholders inside and outside the company.

24 hours for the most complex pipeline, a few weeks to migrate

"We knew within 24 hours it was the right decision"

Their largest, most complex pipeline was up and running on Matia within 24 hours.

The broader migration took a few weeks. That covered pipelines from internal Postgres stores and external data sources. "

The timeline to migrate to Matia really did surprise me"

Time goes back to the business

Moving to Matia streamlined Genius AI's stack and saved money. It also changed how the data team spends its time. "It now goes to supporting the business instead of keeping our pipelines alive."

Lineage catches upstream changes

Matia's data lineage alerts the team when another part of engineering changes one of their data sources, before it causes a reliability problem for the analytics team. Teams in every department get data on a tight SLA, refreshed and up to date, so they can run the reports they need.

"If you're a data leader and you want to take your team from reactive work to one that's proactive and enabling the business, Matia is the partner that enables you."