Data modeling, the practice of diagramming business requirements, has grown significantly. According to a 2024 DATAVERSITY® survey on data management trends, 64% of organizations actively use data modeling, a 13% increase since 2023. This trend will only increase in 2025 as companies face heightened opportunities and risks. Newer technologies and AI are set to disrupt predictive analytics, especially with huge volumes of […]
DAS Webinar: The Business Benefits of Data Modeling
Download the slides here>> This webinar is sponsored by About the Webinar Data models are key to gaining a clear view of the data that drives the business – from customers to products to invoices and more. They offer a clear, visual way for both business and technical stakeholders to communicate around the crucial business […]
Feb 11 Data-Ed Webinar: Data Modeling Essentials
DATE: February 11, 2025 TIME: 2:00 PM – 3:30 PM Eastern / 11:00 AM – 12:30 PM Pacific PRICE: Free to all attendees About the Webinar As organizations continue to produce and disseminate data through their daily operations, the significance of data trends is increasingly recognized in the business world. However, for many industries, understanding these […]
Jun 26 DAS Webinar: Where Data Models Fit in Today’s Modern Data Architecture
DATE: June 26, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees About the Webinar With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see […]
Jul 8 Data-Ed Webinar: Mastering Data Modeling – Understanding Conceptual, Logical, and Physical Models
DATE: July 8, 2025 TIME: 2:00 PM – 3:30 PM Eastern / 11:00 AM – 12:30 PM Pacific PRICE: Free to all attendees About the Webinar Join us for an insightful webinar where we delve into the world of data modeling. This session will cover the three primary types of data models: conceptual, logical, and physical. […]
Dec 2 DAS Webinar: The Business Value of Data Modeling
DATE: December 2, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees About the Webinar Data models are key to gaining a clear view of the data that drives the business – from customers to products to sales and more. They offer a clear, visual way for […]
Enterprise Data World 2024 Takeaways: Trending Topics in Data Architecture and Modeling
I was privileged to deliver a workshop at Enterprise Data World 2024. Publishing this review is a way to express my gratitude to the fantastic team at DATAVERSITY and Tony Shaw personally for organizing this prestigious live event. Part 1 of this article considered the key takeaways in data governance, discussed at Enterprise Data World 2024. Part […]
Data-Ed Webinar: Data Modeling Types – Conceptual, Physical, Logical
Download the slides here>> About the Webinar A model is developed for a purpose. Understanding the strengths of each of the three Data Modeling types will prepare you with a more robust analyst toolkit. The program will describe modeling characteristics shared by each modeling type. Delegates will be able to trace model components as they […]
Data Modeling and Data Models: Not Just for Database Design
“The main purpose of a data model is actually not to design a database – it’s to describe a business,” said Christopher Bradley, information strategist at DMA Advisors. Bradley spoke at a recent Data Architecture Online conference about the purpose of Data Modeling and its role in Data Governance and the modern successful business. Are […]
Knowledge Graphs: Context, Compliance, and Connections
“Graph is leaving a larger and larger footprint. And that is good,” said Thomas Frisendal in Knowledge Graphs and Data Modeling. Gartner named knowledge graphs as part of an emerging trend toward digital ecosystems, showing relationships among enterprises, people, and things, and enabling seamless, dynamic connections across geographies and industries. Elisa Kendall and Deborah McGuinness, […]