Quest Data Modeler: Go from Data Models to Data Meaning

Data teams today look very different than a few years ago. More platforms, stakeholders, and data professionals mean a new challenge, ensuring everyone agrees on data definitions. And as data environments become more distributed, the problem compounds. Terms like customer, revenue, and churn are inconsistently defined across platforms and teams. Without a shared governed definition layer, all downstream systems, including AI, operate on differing versions of the truth. But imagine if every team, dashboard, and AI system was drawing from the same shared definition, business meaning and technical implementation aligned, governed, and connected. Quest Data Modeler is built for exactly this moment-- natural language AI modeling, real-time collaboration for technical and business teams in a single governed workspace, an enterprise model repository with check-in, version control, and conflict resolution built for multi-team programs at scale. For organizations with existing erwin desktop, Quest Data Modeler enables seamless migration, hybrid coexistence, and cloud expansion at your own pace-- major modeling tasks that once took weeks, delivered in just hours. Quest Data Modeler-- from data models to data meaning.