Omni is a business intelligence platform that combines enterprise-grade data consistency with the agility and speed of modern startups, making advanced analytics accessible to organizations of all sizes. Omni delivers trusted answers to business questions by uniting a shared data model with the flexibility of SQL, allowing teams to explore data freely while maintaining governance and accuracy.
Omni's core offering centers on enabling decision makers and analysts to answer critical business questions quickly and reliably, without having to compromise between data consistency and exploration. The platform is designed to support both standardized, repeatable reporting and custom ad hoc analysis within a single environment. This approach empowers users to drive business impact through data-driven insights, regardless of technical expertise.
How was Omni started?
Omni was founded by Colin, Jamie, and Chris—leaders with deep experience in data, analytics, and engineering. Colin has led data teams at Looker, Google, and HotelTonight, and brings a background in finance and product strategy. Jamie has extensive expertise in data science and product leadership, with roles at Looker, Google, HotelTonight, and Redpoint Ventures. Chris previously led engineering at Stitch and Talend and contributed to open-source projects like Singer and dbt. Their combined experience shapes Omni's mission to make complex business intelligence both powerful and user-friendly.
Who uses Omni?
Omni serves a broad range of organizations looking to improve their data analytics capabilities. Notable customers include Census, Condé Nast, Perplexity, Ilia, Ritual, Incident.io, Zip, Hightouch, Prefect, Tickpick, Game Lounge, AACSB, Lyka, Front, Dagster, Uscreen, PrimaryBid, Ascend, and Rose Rocket. These clients represent industries from media and e-commerce to SaaS and logistics, illustrating the platform's versatility.
What makes Omni different?
Omni is distinguished by its balance between the consistency of a shared data model and the freedom of SQL-based exploration. This hybrid approach means organizations do not have to choose between rigid governance and the flexibility analysts often require. The platform's design reflects the team’s experience building and scaling some of the most recognized data products in the industry. More about their approach and founding story can be found on their About page.
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