erwin Skills 101 : On Demand
Trusted Data, Faster: Quest Trusted Data Management Platform
29:15
Session Date: March 12th
Your AI initiatives are only as strong as the data behind them. In this Skills 101 session, see how the Quest Trusted Data Management Platform helps organizations move beyond fragmented pipelines and manual data preparation by using a model-first, converged data management approach that connects data modeling, cataloging, governance, lineage, and data quality into a unified platform. You’ll also see the Automated Data Product Factory in action, demonstrating how teams can use AI-driven automation and natural language prompts to discover relevant data assets, generate logical models, and quickly create governed, reusable data products. Along the way, explore how trust scoring, end-to-end lineage, and data product marketplace capabilities help teams evaluate, compare, and confidently reuse trusted data assets for analytics, reporting, and AI initiatives.
Themes & Templates made clean and consistent
26:20
Session Date: March 11th
Consistency is essential for enterprise data modeling, but enforcing standards does not have to slow teams down. In this Skills 101 session, see how erwin Themes and Active Model Templates (AMTs) work together to bring structure, automation, and consistency into your modeling process. Learn how to enforce naming conventions and formatting standards, streamline repeatable modeling tasks with AMTs, and standardize models across teams while still allowing flexibility where it matters. By the end, you will walk away with practical ways to build cleaner, more consistent models without adding extra manual work.
The Blueprint for Smarter, Governed Data Products
27:39
Session Date: January 28th
This on-demand session walks through how real teams design, model, and govern data products that are consistent, documented, and trusted. You’ll learn what defines a data product, why metadata, lineage, and governance matter, and how erwin supports the full lifecycle from structure to stewardship. The video covers how erwin Data Modeler establishes strong foundational models and how the erwin Data Intelligence Suite catalogs, enriches, and governs assets across teams, with real-world examples showing how well-governed data products deliver measurable impact in production environments.
Data Intelligence & Governance
37:01
Session Date: September 23rd
Building data products can be challenging, often slowed by rework, governance gaps, and the leap from prototype to production. In this on-demand session, Quest shows how to accelerate delivery by modeling and governing data as reusable products with built-in trust scores, clear business context, and accessible marketplaces. You’ll learn how to deliver AI-ready data products that are trusted and discoverable, reduce complexity by unifying modeling, governance, and quality checks in one streamlined flow, simplify data engineering through automation, and make models easier to find and use with clear context and catalog integration, all presented by Michael O’Donnell, Product Marketing Director at Quest.
Modern Architectures
20:59
Session Date: September 9th
As SAP PowerDesigner reaches its end-of-life, organizations must plan a seamless transition without risking valuable metadata or disrupting operations. In this on-demand video, Sandhill experts Steve Dillon and Jeff Giles demonstrate how modern Data Intelligence tools—Catalog, Lineage, and Modeling—can improve reporting accuracy, reduce audit risk, and drive transparency across teams. You’ll also learn how erwin Data Modeler protects existing investments while future-proofing your strategy with advanced connectivity, NoSQL support, and a proven commitment to innovation.
Data Modeling Essentials
28:30
Session Date: Feb. 12
Discover how erwin Data Modeler helps organizations effectively discover, document, develop and manage their data architectures, keeping you ahead in data management.
