As modeling environments grow across teams, platforms, and projects, maintaining consistency becomes increasingly difficult. Without shared standards and governance, naming inconsistencies, duplicated logic, and model drift can quickly create long-term management challenges.
In this session, we’ll explore practical governance strategies within erwin Data Modeler to help standardize modeling practices and maintain consistency across evolving environments. We’ll walk through approaches for managing naming standards, reusable templates, subject areas, and model validation to reduce downstream inconsistencies before they spread across teams and platforms.
We’ll explore:
By the end of the session, you’ll have practical strategies for scaling modeling efforts while keeping standards aligned across the enterprise.
Speaker: Andy McGovern, Sr. Principal Consultant
If you’re currently using erwin Data Modeler, you’ve probably started hearing more about Quest Data Modeler and where it fits alongside existing modeling workflows. In this Skills 101 session, we’ll walk through the practical differences between the traditional desktop experience and the newer cloud-native platform, focusing on how existing erwin users can evaluate where each approach fits within their environment. Through a live demo, we’ll explore how models, standards, governance processes, and team workflows translate between both platforms, along with where newer cloud-based capabilities can simplify collaboration and model management.
We’ll explore:
Whether you're evaluating cloud-based modeling for the first time or trying to understand how it complements your current erwin environment, this session is designed to provide a practical, technical walkthrough focused on real modeling workflows and operational considerations.
Speaker: Andy McGovern, Sr. Principal Consultant and Ryan Crochet, Product Marketing Director
Manually running reverse engineering and model comparisons doesn’t scale, especially across larger environments.
In this session, we’ll walk through how to use erwin Data Modeler Workgroup Edition to schedule and automate key modeling tasks. You’ll see how to configure recurring jobs for Reverse Engineering and Complete Compare, store parameters securely, and generate difference reports without manual intervention.
We’ll focus on building a repeatable process so model updates, comparisons, and reporting happen consistently, even when you’re not actively running them.
We’ll walk through:
By the end, you’ll have a clear approach to automating routine modeling tasks and maintaining consistency across environments
Speaker: Andy McGovern, Sr. Principal Consultant