In this fast-paced Skills 101 session, we’ll explore how the erwin Data Intelligence (DI) and erwin Data Modeler (DM) portfolios are evolving to accelerate AI initiatives and strengthen enterprise data readiness. If your organization is investing in AI but struggling with data trust, governance, or modeling complexity, this session will show how erwin brings those pieces together.
We’ll explore:
Speaker: Geoff Hodgkinson; Solutions Engineer
erwin Data Modeler continues to evolve rapidly, and version 15.2 introduces a new set of enhancements designed to improve usability, visibility, and modeling efficiency for data teams.
In this Skills 101 session, we’ll focus on what erwin DM 15.2 brings to the table for customers, highlighting the updates that help streamline modeling workflows, strengthen collaboration, and improve how teams design and manage their data architecture. You’ll see how the latest enhancements build on the 15.x release cycle to make day-to-day modeling more efficient and accessible.
We’ll explore:
Whether you’re already working in erwin DM 15.x or evaluating the latest release, this session will give you a practical look at how erwin Data Modeler 15.2 can help your team model faster, collaborate more effectively, and get more value from your data architecture.
Speaker: Andy McGovern, Sr. Principal Consultant
Building robust models requires moving seamlessly between Conceptual, Logical, and Physical layers- and knowing how to maintain integrity across them. In this session, we’ll show you how to derive Logical models from Conceptual foundations, enrich them with attributes, and produce Logical/Physical models across multiple data structures. You’ll learn techniques for handling relationships, managing large models, and scaling design efforts for enterprise environments. By the end, your layered models will be as elegant and precise as a well-oiled DevOps pipeline.
Topics that will be discussed include:
Speaker: Andy McGovern, Sr. Principal Consultant