Press:

data.world Expands Snowflake Collaboration with New Exclusive Offering to Accelerate Data Trust

NEW Tool:

Use generative AI to learn more about data.world

November 30th:

AI-Ready Data: Building the Foundation for Trusted Generative AI Applications

New Benchmark:

Read the first-of-its-kind benchmark on the accuracy of LLMs in the enterprise

Upcoming Digital Event

Hear from Power Digital’s Chief Product Officer, Michael Murray, on how he and his team are leveraging the Snowflake Data Cloud and data.world Data Catalog Platform to build the data foundation needed for generative AI for the advertising and performance marketing industry – and delivering a fluid data experience to their customers. 

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We will show you how data.world makes it easy for everyone—not just the “data people”—to get clear, accurate, fast answers to any business question. Just submit the form and you’re in!

In a personalized demo, we will: 

  • Discuss your data and analysis catalog needs

  • Tour powerful platform features like self-serve data access

  • Answer your questions about cross-team collaboration and reproducible data and analysis

Leading organizations trust data.world

“It's been exciting to deploy data.world at Indeed because it's the first time we've actually had all this information and metadata in one place. This is really giving us the visibility that we need to bring that focus to both our governance and security programs.”
Meghan Therrien Director, Data Governance, Indeed
“data.world is a fantastic tool for a data mesh approach because it allows users to search for data even without having direct access to it.”
Miguel Morgado Product Owner
“Imagine managing books without title information, author data, cover images, royalties, or number of chapters. That's what it's like managing data without a catalog. Now, information that once took our data scientists a week to find is discoverable in seconds on data.world.”
Rupal Sumaria Head of Data Governance
“If you don’t choose a data catalog platform on a knowledge-graph architecture, and bring in all data and knowledge, governed in one platform, then you are setting yourself up for failure in an AI future.”
Vip Parmar Global Head of Data Management