Solutions purpose-built to deliver trusted, AI-ready data at speed and scale
These solutions help organizations overcome the three biggest barriers to AI success: the data trust gap, slow and manual data product creation, and the cost and complexity of managing fragmented toolchains. The Quest Trusted Data Management Platform unifies data modeling, governance, catalog, quality, and marketplace capabilities with AI-powered automation — so data teams can deliver production-ready data products in days instead of months, with trust built in from the start.
Trusted data, faster than ever
The Quest Trusted Data Management Platform featuring the Automated Data Product Factory unifies modeling, catalog, governance and AI-powered automation so that you can deliver AI-ready data products in days, not months.
Quest Automated Data Product Factory
Use AI-powered innovation to create reusable data products in a matter of days, not months. Once you've identified your reusable data products, leverage automated workflows to dramatically accelerate time-to-value.
erwin Data Modeler
For 30+ years, the gold standard of data modeling software, including SQL and NoSQL support.
erwin Data Intelligence
Automated data catalog, data quality, data literacy and data marketplace capabilities making trusted data and AI models easier to find, understand, govern, score and use.
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Knowledge Center
FAQ
The Quest Trusted Data Management Platform is a unified, cloud-based solution that brings together six core capabilities in a single offering: Data Modeling, Data Catalog, Data Governance, Data Quality, Data Marketplace, and Automated Data Product Factory. Rather than assembling point solutions from multiple vendors, organizations get an integrated ecosystem where each capability strengthens the others—from foundational data architecture to AI-accelerated delivery. This converged approach eliminates the costs associated with disparate tools and processes to deliver trusted, reusable data products at the speed AI initiatives require.
AI initiatives fail at a 95% rate, and the root cause is almost always data—organizations don't know what data they have, where it is, or if it can be trusted. Assembling separate tools for modeling, cataloging, governance, and quality creates silos, handoff delays, and gaps where trust breaks down. A unified platform ensures that governance, lineage, and quality signals flow seamlessly from data creation through consumption. Gartner predicts that by 2028, converged platforms with these unified capabilities will be mandatory—Quest delivers that standard today.
The platform leverages 30+ years of data modeling expertise from the team that built erwin—the industry standard for enterprise data modeling. This foundation matters because trusted data products start with sound data architecture. Unlike competitors that bolt modeling onto catalog-first platforms, Quest's approach ensures that logical and physical data structures are the starting point, not an afterthought. This creates a consistent semantic layer that AI and analytics consumers can rely on.
Every data asset in the platform receives a transparent trust score based on nine measurable components: data quality, governance completeness, user ratings, timeliness, lifecycle status, popularity, and more. These scores are customizable to reflect your organization's specific risk tolerances. Gold, silver, and bronze designations make it easy for data consumers to quickly identify which assets meet their requirements, eliminating the "can I trust this data?" uncertainty that stalls projects.
Organizations using the Quest Trusted Data Management Platform can expect 3-5x ROI through a combination of productivity gains, risk reduction, and faster time to market. Specific outcomes include 54% faster data product delivery, 30-40% lower total cost of ownership versus assembled point solutions, and elimination of the $100K+ integration costs typically required to connect disparate tools. Beyond hard cost savings, teams reclaim much of the time they currently spend on manual, repetitive data tasks—redirecting that effort toward strategic work that drives business value.