Speed Governance and Use of Trusted Data
erwin Data Intelligence delivers automated data cataloging, data quality, data stewardship and data marketplace capabilities within one solution to accelerate data and AI governance and drive use of trusted data throughout your enterprise.
Auto-harvest and catalog metadata across your hybrid data estate. Use AI-powered data stewardship to speed catalog metadata definition, classification and business glossary development. Deliver end-to-end data lineage and semantic mind maps, automate trust scoring and leverage data observability to keep trusted assets discoverable, explainable and ready for AI and analytics in a consumer-friendly marketplace.
FAQ
A data catalog typically focuses on cataloging in one place the metadata from data sources across your data landscape and providing some basic metadata visibility and management to manage and protect your data.
Data intelligence goes further by enriching the available metadata collected with business context, governance policies, lineage, classifications, data quality and usage guidelines and then helping organizations to make the most valuable, trusted assets easy for all in your organization to find, understand, and use responsibly – all in one unified environment.
Unstructured data (PDFs, Word docs, spreadsheets, images, etc.) represents more than 90% of enterprise data today and is largely ungoverned – presenting a huge risk for sound AI outcomes, regulatory compliance and enterprise data risk areas. Traditional data catalogs have often ignored it given its complexity to manage or tackle it separately from structured data cataloging and governance efforts.
Quest erwin delivers unified data governance by automating the cataloging, classification and governance of structured, semi-structured and unstructured data all within the same solution. So, you can govern consistently, reduce exposure and strengthen the availability of trusted AI outcomes and analytics, no matter the data type.
AI governance requires knowing the data used to train your AI models. Being able to answer questions like what’s its lineage, quality, who owns it, and is its use compliant with regulatory and business policies.
With erwin Data Intelligence, automated AI model certification validates governance is complete and data is production-ready, data observability ensures AI data remains reliable, and unique semantic mind maps visually deliver 360-degree views of related assets and context for your AI model. These and other capabilities ensure you can reduce risk, support regulatory reviews and enable AI explainability and sound AI outcomes.
Static data catalogs quickly become outdated. Active metadata continuously harvests, updates, classifies, and enriches information as data changes. erwin Data Intelligence activates metadata to drive pipeline automation, initiate governance workflows, update lineage, automate quality and data trust scoring, and more to reduce manual data management and governance efforts.
This shifts metadata from a passive inventory to a sound data foundation that supports decision-making across data architects, engineers, governance leads, and business users. As organizations expand cloud adoption and advance AI efforts, active metadata becomes the backbone for maintaining trust, reducing risk, and scaling governance with fewer resources.