Available Data Governance Tools
Our tools are designed by data governance experts and trusted by leading organizations including Nasdaq, Fox, Autodesk, Unilever, and General Motors.
AI Governance Readiness Check
Assess if your organization's data governance practices are ready for AI adoption. This comprehensive evaluation covers data quality, metadata management, access controls, and AI-specific governance requirements. Get a detailed readiness score and actionable recommendations to prepare your data foundation for AI initiatives.
Duration: 5-10 minutes | Format: Interactive questionnaire | Output: Personalized readiness report
Data Catalog Maturity Assessment
Benchmark your data catalog maturity across key dimensions including metadata completeness, data discovery, lineage tracking, and collaboration capabilities. Compare your organization against industry best practices and receive a customized improvement roadmap based on your current maturity level.
Duration: 5-10 minutes | Format: Interactive questionnaire | Output: Maturity scorecard with recommendations
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Frequently Asked Questions
What are data governance tools?
Data governance tools help organizations manage, assess, and improve their data governance practices. They include assessments for AI readiness, data catalog maturity evaluations, and policy generators to help establish robust data management practices.
Are these data governance tools free to use?
Yes, all tools on the Atlan Data Governance Tools Portal are completely free to use. You can assess your AI governance readiness and data catalog maturity without any cost or registration.
How long does the AI Governance Readiness assessment take?
The AI Governance Readiness Check typically takes 5-10 minutes to complete. You'll receive instant personalized results and recommendations immediately after completion.
Who should use these governance assessment tools?
These tools are designed for data leaders, governance professionals, CDOs, data architects, and anyone responsible for data management in their organization. They're particularly useful for teams preparing for AI initiatives or improving their data catalog practices.
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