Speed Governance and Use of Trusted Data
Quest 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 data cataloging, classification, and business glossary development. Reduce regulatory risks with AI-powered policy management and enforcement. 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 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 Quest Data Intelligence, automated AI model certification validates governance is complete and data is production-ready, data observability ensures AI data reliability, and AI-powered semantics assistance and visual mind maps provide clarity on asset relationships, business and governance context. AI-driven policy management and enforcement at the point of data access also strengthens governance. With Quest, 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. Quest 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.
Quest Data Intelligence offers more than 100 data connectors you can use to gain full visibility and understanding of your data landscape and the automated capabilities to effectively govern it. Quest integrates with widely used data platforms and cloud ecosystems, including Microsoft Azure, Databricks, Snowflake, AWS, Google Cloud and more.
Leveraging our proven, Quest-built library of data connectors, you can centralize and activate metadata management, automate data lineage, standardize and enrich data governance, and accelerate the delivery of trusted, AI-ready data products.
The integrated data marketplace in Quest Data Intelligence makes it easy for every user to quickly find, evaluate and gain access to trusted data products, datasets, and AI models. Personalized marketplace views streamline discovery, while AI-powered natural language search lets users locate assets using everyday language. Automated data trust scores based on up to nine company‑weighted criteria, including data quality, help teams instantly identify the most reliable assets.
The ability to compare assets side-by-side, read peer star ratings and reviews, and view automated AI model certifications confirming when model‑related data is production-ready also strengthens trust and accelerates access to high‑value, AI-ready data products.
When data trust is high, people across your business will use data and act with confidence. When data trust is low or unclear, adoption suffers and, for AI initiatives, untrustworthy data leads to AI failure. Automated data trust scoring provides the visibility into data reliability to confidently assess AI readiness and drive dependable outcomes.
Quest Data Intelligence goes well beyond anecdotal or single‑factor trust scoring. It automatically generates explainable, multi‑criteria trust scores using up to nine company‑weighted factors such as data quality, governance completeness and social ratings. Visual data trust indicators (Gold, Silver, Bronze) are displayed for potential users inside the data marketplace with all scoring details accessible, strengthening confidence and encouraging use of high‑value, AI‑ready data products.
Understanding data quality is essential to the work of modern data teams, from building pipelines and migrating platforms, to delivering data products and establishing a sound data foundation for AI. These efforts require data quality visibility, not just for data quality engineers, but for data engineers, analysts, data product owners, data scientists, business users and others. Integrating data quality into data intelligence software ensures everyone can quickly assess data reliability and use data with confidence.
Quest Data Intelligence automates data quality scoring and embeds quality insights across the platform, in the data catalog, data lineage, impact analysis, semantic mind maps and as a core factor in automated data trust scoring shared in the data marketplace. Integrated data observability also alerts teams to quality drifts and anomalies, helping organizations maintain ongoing data reliability