Christian Kaul and Lars Rönnbäck explore what it means to adopt a data-centric paradigm. It certainly isn’t enough to have a data-centric data architecture; the implications are much more fundamental. The ultimate consequence is that you need to create a model-driven organization. By doing so, data architecture determines the shape of the organization, not the other way around.
Article
Closing the Business-IT Gap with a Model-Driven Architecture
Posted January 17, 2020 | Leadership | Technology | Amplify
About The Author
Christian Kaul is a data modeler, writer, and event organizer based in Munich, Germany, who focuses on designing, implementing, and maintaining data warehouses. He has several years’ business intelligence experience in various industries, including healthcare, insurance, tourism, and telecommunications. Mr. Kaul’s project roles have included data modeler, data warehouse developer, project manager, and support team lead. With a keen interest in… Read More
Lars Rönnbäck is a researcher in divergent information at Stockholm University, Sweden, and a consultant in information modeling. He has been working with some of the largest organizations in Sweden and their challenges as far back as Y2K. Over the last decade, Mr. Rönnbäck’s research has focused on how to manage information that is uncertain, imprecise, conflicting, and varying over time. This research has resulted in new modeling techniques… Read More
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