The Conceptual Data Model as a Cornerstone for Data Strategy

Watch this video to learn how to position your conceptual data model and acquire techniques for engaging stakeholders and avoiding pitfalls. Starting from the importance of “precision” applied to conceptual data models, Steve Hoberman walks us through the challenges, the connection to data strategy and key takeaways from the projects he managed. Steve Hoberman shares his over 30 years experience on conceptual data models to help you with your data strategy. Steve has trained more than 10,000 people in data modeling since 1992. He’s the author of nine books on data modeling, including “The Rosedata Stone and Data Modeling Made Simple”. Steve is also the author of “Blockchainopoly”. As a consultant Steve has often reviewed data models using the Data Model Scorecard® technique. He is the founder of the Design Challenges group, creator of the Data Modeling Institute’s Data Modeling Certification exam, Conference Chair of the Data Modeling Zone conferences, director of Technics Publications, lecturer at Columbia University, and recipient of the Data Administration Management Association (DAMA) International Professional Achievement Award.