Skills 101: erwin | The Blueprint for Smarter, Governed Data Products

Whether you're already building data products or just tired of seeing the same mysterious fields show up in every report (“Who did create Field_123_Final_v2 anyway?”), this session will give you a clearer path forward. We’re going to walk through how real teams actually design, model, and govern data products, the good, the bad, and the “please don’t ever do that again.” You’ll see how erwin ties everything together so you can build products that are consistent, documented, and genuinely useful, not just “another dataset someone swears they’ll clean up later.” Come ready with questions and ideas, we’ll make sense of it all together.

We’ll explore:
• What makes a data product a product, including core components, structure, and why clarity matters
• How metadata, lineage, and governance keep products transparent, compliant, and easy to understand
• How erwin Data Modeler provides the foundational models that define structure and meaning
• How the erwin Data Intelligence Suite enriches, catalogs, and manages data assets across teams
• Real-world examples of data products delivering measurable impact

By the end of this session, you’ll have a practical, real-world understanding of how strong data products come together, not just how they are defined but how they function when teams depend on them. If you’re ready to build data products that work beyond the slide deck, this is your session.