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Ken Garff Automotive Group Builds AI-Ready Foundation with Domo and Snowflake

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Key Terms

governed data technical
Governed data is information a company has organized, labeled and controlled so it stays accurate, traceable and accessible only to authorized users. For investors it matters because well-managed data lowers the chance of regulatory fines, privacy breaches or bad decisions caused by errors—think of it as a company’s recipe book kept orderly so chefs follow the right steps and auditors can verify ingredients and provenance.
cloud data platform technical
A cloud data platform is a hosted system that stores, organizes and runs analysis on a company’s data using remote servers instead of on-site computers. Like a shared utility and toolbox for information, it lets businesses scale storage, run reports faster, and apply security and backup centrally; investors care because it can lower IT costs, speed decision-making, support growth, and affect regulatory compliance and competitive advantage.
operational intelligence technical
Operational intelligence is the continuous collection and real‑time analysis of a company’s day‑to‑day activities—such as production, logistics, sales and IT—to spot problems, measure performance and guide faster decisions. For investors, it matters because better operational intelligence can reduce costs, prevent disruptions and improve growth predictability; think of it as a live dashboard or traffic control system that helps managers steer the business more efficiently and reliably.
data governance technical
Data governance is the set of rules and practices that ensure information is accurate, consistent, and used responsibly within an organization. It is like a well-organized library system that keeps track of all the books, making sure they are correct, easy to find, and used properly. For investors, strong data governance helps ensure that the information they rely on is trustworthy and decisions are based on reliable data.
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Family-owned automotive retailer uses Domo and Snowflake to manage more than 4 billion records, save 400 hours monthly on one report, and create a scalable backbone for AI

SILICON SLOPES, Utah--(BUSINESS WIRE)-- Domo (NASDAQ: DOMO) today announced that Ken Garff Automotive Group, a family-owned automotive retailer with more than 70 dealerships across nine states, is using Domo with Snowflake to modernize its data architecture and prepare to build AI apps on governed data. With Snowflake as its cloud data platform and Domo as its analytics and operational intelligence layer, Ken Garff can manage more than 4 billion records while giving teams faster access to trusted data across the business.

Faced with a decades-old, on-premise reporting system that struggled to keep pace with the scale and complexity of the business, Ken Garff needed a faster way to bring together operational data from sales systems, service platforms, finance tools, and third-party applications.

Using Domo’s AI and Data Products Platform, Ken Garff now securely manages and analyzes over four billion records of operational data in Snowflake while delivering fast, interactive dashboards to teams across the business. In one example, the company identified roughly 400 hours of employee wait time each month tied to a single service department report in its old system. With its modern data architecture, teams can now access the information they need faster and use it to make decisions during the workday.

“I think of us as a data company that sells cars. The simplicity of using Snowflake and Domo together has been great,” said Steve Peterson, Director of Data Engineering at Ken Garff Automotive Group. “Domo lets us manage very large datasets in Snowflake while still delivering fast, interactive dashboards to the business. There’s no way we could have handled that with our traditional system, let alone prepare our data ecosystem for the future of AI in automotive retail.”

From the corporate office to individual dealerships, role-based technologies have become essential to daily operations. The platform has also empowered the IT team to analyze support ticket data, identifying recurring issues and allowing them to target those areas for improvement.

“Ken Garff is showing what is possible when a modern data foundation is connected directly to the people who need to make decisions,” said Matt Mecham, Chief Customer Officer at Domo. “Snowflake gives Ken Garff the scale to manage billions of records, and Domo makes that data accessible, governed, and useful across the business. That combination gives teams faster answers now and a stronger foundation for AI.”

Looking ahead, Ken Garff is exploring opportunities to build on its data foundation with applications such as service desk chatbots and tools that help teams analyze datasets and strengthen data governance practices.

“When you start thinking about where AI can be implemented most effectively, the answer is always where your data lives,” said Tom Howa, senior director of data and analytics at Ken Garff Automotive Group. “For us, that’s Snowflake and Domo.”

To read the full customer story, visit: https://www.domo.com/customers/ken-garff-automotive-group

About Domo

Domo is an AI and Data Products platform that helps companies of all sizes leverage data and AI to drive value in today’s data-driven world. Built around our customers’ preferred data foundation, powered by our award-winning Domo.AI solution, and enriched with our partner ecosystem, the Domo platform enables users to prepare, visualize, automate, distribute, and build end-to-end data products that provide solutions across the entire data journey. From hydrating your data foundation, to building fully embedded applications that can be shared with your employees and customers, to deploying AI models across a variety of providers, Domo gives users the ability to build data products that generate measurable value for the business.

For more information, visit www.domo.com. You can also follow Domo on LinkedIn, X, and Facebook.

Media Contacts:

Domo Contact
Cory Edwards
VP Corporate Communications
PR@domo.com

Source: Domo