The modern catalog for data and analysis
Catalog your data, wake up your hidden data workforce, and build a data-driven culture—faster.
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How to Plan and Launch Your Modern Data Catalog
data.world customers have used these very tactics to successfully implement their own data catalogs.The Associated Press
Learn how AP used data.world to double data production and reach.
A data-driven culture is more than technology.
It’s the convergence of people, data, and analysis.
A few of our customers.
Get more from your data investment.
Operationalize your data, integrate your data supply chain, and empower your people.
Unite & Discover
Catalog your data and unite your silos.
Can your people find and understand the data they need to make the right decisions? Improve discovery and exploration for everyone. Get more from your data investment with a modern data catalog.
Key capabilities & benefits
- Catalog data and analysis across clouds, databases, lakes, warehouses, spreadsheets, and third-party services.
- Centralize data, metadata, and documentation to improve understanding, accuracy, and quality.
- Unify search and discovery across your data ecosystem.
- Learn what datasets are being used by others and build on their analysis and work.
Govern & Access
Choose secure, governed, self-service data access.
Data catalogs don’t create data-driven cultures. People do. Give them the data to make great decisions. Advanced security, control, and auditing features help you scale self-service access with confidence.
Key capabilities & benefits
- Secure access with user- and role-based permissions for data viewing, editing, and publishing.
- Create trust by sharing metadata about quality, governance, and compliance.
- Track provenance and lineage automatically. data.world records metadata for dataset creation, modification, use, and how it relates to other assets.
- Integrate provenance, lineage, and quality information from your governance and compliance systems.
Collaborate
Bring together employees of all roles, backgrounds, and skills.
Data-driven cultures are inclusive. Outdated barriers scatter people, data, and context across tools and platforms. Make it easy for diverse teams to work together collaboratively.
Key capabilities & benefits
- Give technical and non-technical people a common workspace to share knowledge, add data, and collaborate.
- Keep context, metadata, and discussion close to the data and analysis so peers can ramp-up fast and avoid duplicative work.
- Stay in the loop with activity feeds and alerts to keep tabs on progress.
- Connect to the tools your teams already use with our 40+ integrations. Let them work outside of data.world while easily sharing back their analysis, discoveries, and work.
Reproduce & Reuse
Avoid a reproducibility crisis. Create reusable, extensible data and analysis.
Broken data supply chains leak knowledge, which causes costly errors and limits productivity. Capture context and knowledge as your teams work, so it’s easy to check, use, and build on what they produce.
Key capabilities & benefits
- Reunite data and context so everyone can do high-quality data work in less time.
- Make everything reproducible by capturing documentation, code, notebooks, queries, transforms, insights, and visualizations.
- Gain productivity by extending the value of existing data analysis for reuse and adaptation.
- Improve data literacy by sharing your data specialists’ best practices with everyone.
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We’ve acquired Capsenta to bring the power of knowledge graphs to companies with on-prem data
I’m beyond excited to share this news. data.world has acquired Capsenta! In this brief post I’d like to explain why I personally think this is important for the enterprise data universe, and I encourage you to also read Capsenta co-founder Juan Sequeda’s own...
read moreModern Data Project Checklist
Want effective, consistent, fast data projects company-wide? Start with this checklist.
Enterprise Data Tech Stack Audit
Each team and role has its preferred tools to address specific data needs and goals. In order to bring everyone together to find, share, and use data more effectively, you need to know what tools they use today.
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