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Every year at ASOTU CON, we talk about building a real data foundation for operations. Ken Garff Automotive Group, with more than 70 dealerships across nine states, just did it.

The group replaced a decades-old on-premise reporting system with a cloud-based platform built on Snowflake for storage and Domo for analytics. The new architecture connects sales, service, finance, and third-party data into one place, letting the group securely manage more than 4 billion records across the business.

I think of us as a data company that sells cars.

— Steve Peterson, Director of Data Engineering, Ken Garff Automotive Group

We've never heard that sentence come out of a dealership before, and we think that's exactly the point.

🎙️ Want the full conversation?

Listen to today's Automotive State of the Union episode for the complete discussion, additional context, and the conversations that shaped our perspective.

4 Billion Records, One Dashboard, 400 Fewer Wasted Hours

The immediate, measurable win: the new system eliminated roughly 400 hours of employee wait time every month that had been tied to generating a single service department report.

That's not a rounding error. That's close to 5,000 hours a year handed back to a team that used to spend it waiting on a report instead of acting on one.

With that foundation in place, Ken Garff is now exploring AI applications: service desk chatbots, deeper data analysis tools, and stronger governance across the business. None of that is possible without the infrastructure underneath it working first.

Blue Sky Value Should Include Data Cleanliness. It Usually Doesn't.

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