Collaborate

Modernize your data teamwork.

%

of C-level execs say people challenges are the greatest barrier to becoming data-driven

With inclusive tools, everyone in your business can increase the value of data and analysis. Technical skills should complement subject matter expertise, but most technology stacks keep them in different lanes.

data.world helps everyone with data. From the data engineer running ETL, to the analyst writing queries, to the data novice asking questions, data.world makes data teamwork transparent, productive, and fast.

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Support the full data lifecycle

  • Start ahead: Find project-relevant data, analysis, and questions so you can build on prior work.
  • Stay on the same page: Work from a common understanding of data’s meaning, origin, and changes.
  • Use the best tools: People do their best work when using tools they love.  data.world’s 40+ integrations span the data literacy spectrum, including Excel, R, and Tableau.
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Collaborate continuously

  • Get back to it: Tailored feeds show you team, collaborator, and project progress as soon as you log on.
  • Don’t miss a beat: Proactive alerts share what’s new, when it happened, and how you can contribute.
  • Share as you go: Capture ideas, questions, ideas, and results alongside the data so you don’t have to slow down to stay in sync.

Improve data projects in just a few steps.

Learn how leading companies manage cross-functional data projects using this workbook.

Tool

Modern Data Project Checklist

Want effective, consistent, fast data projects company-wide? Start with this.

Get the checklist

Schedule a demo

Let us show you how data.world can help lay the foundation for smarter, faster data-driven decisions—company wide.

What’s your role?

Chief Data Officer

Lay the foundation for smarter, faster data-driven decisions—company wide.

Analyst & Data Scientist

Get the data, context, and support you need to make great business decisions—no bottlenecks.

IT & Data Engineer

Meet diverse data needs, company-wide, with one platform.

Data Steward

Scale self-service data access while improving ease of use.