Domo announced that National Tiles has deployed Domo alongside Snowflake to build a trusted, scalable data foundation for its Australian operations that now empowers more than 500 employees with real-time insights, streamlined workflows, and an AI-ready analytics environment. For a rapidly growing retail business operating across Queensland, New South Wales, Victoria, South Australia, and Tasmania, the company's data needs had outpaced legacy processes. Disconnected systems, duplicated data preparation work, and siloed reporting created operational friction and made it increasingly difficult to scale analytics across the business.
To modernize its data operations, National Tiles worked with Domo and Snowflake to design a single, governed data architecture in which Snowflake serves as the secure data foundation and Domo acts as the business engagement layer for analytics, dashboards, workflows, and custom-built data applications. The result is a unified environment that: Eliminates redundant data preparation work; Provides governed, consistent data for every team; Scales analytics across hundreds of employees; Lays the groundwork for AI-driven decision-making. Scaling Innovation with 50+ Custom Apps Built in Domo: Since consolidating on Domo and Snowflake, National Tiles has expanded its Domo user base from 60 to more than 500 employees and deployed over 50 custom business applications built in Domo's App Studio.
These include operational, safety, and compliance apps that have removed manual effort and accelerated frontline decision-making. Examples include: Forklift Safety App: Daily safety checks across 150+ forklifts now feed directly into Domo dashboards, with failed checks automatically triggering service orders; Dangerous Goods Compliance App: Documentation for regulated freight is now generated automatically through Domo Workflows, tightening compliance and improving efficiency. With a trusted data foundation now in place, National Tiles is actively exploring AI-driven use cases, including predictive inventory allocation that uses AI to balance urgency, demand, and delivery timing across its national network.
