Data Modeling is the “act” of creating a data model (physical, logical, conceptual, etc.) and includes defining and determining an organization’s data needs and goals. The act of Data Modeling defines not just data elements, but also the structures they form and the relationships between them. Developing a data model requires the data modelers to work […]
Should You Consider a Unified Data Model?
A unified data model allows businesses to make better-informed decisions. How? By providing organizations with a more comprehensive view of the data sources they’re using, which makes it easier to understand their customers’ experiences. A singular, interrelated network that’s connected to one source of truth gives organizations a more efficient, accurate, and comprehensive analysis of […]
Modeling Modern Knowledge Graphs
In the buzzing world of data architectures, one term seems to unite some previously contending buzzy paradigms. That term is “knowledge graphs.” In this post, we will dive into the scope of knowledge graphs, which is maturing as we speak. First, let us look back. “Knowledge graph” is not a new term; see for yourself […]
Connecting the Three Spheres of Data Management to Unlock Value
Many organizations have mapped out the systems and applications of their data landscape. Many have documented their most critical business processes. Many have modeled their data domains and key attributes. But only very few have succeeded in connecting the knowledge of these three efforts. The remainder of this point of view will explain why connecting […]
Achieving Smoother, Quicker Data Modeling
When the Navy SEALS embraced its motto, “Slow is smooth, and smooth is fast,” they may as well have been discussing building data models in the same breath. The SEALS chose the phrase to remind its participants not to rush but to act thoughtfully and deliberately. Data Modeling does the same thing by helping businesses design and update data architectures […]
Data-Ed Webinar: Data Modeling Fundamentals
To view just the slides from this presentation, click HERE>> About the Webinar Because every organization produces and propagates data as part of their day-to-day operations, data trends are becoming more and more important in the mainstream business world’s consciousness. For many organizations in various industries, though, comprehension of this development begins and ends with […]
Data-Ed Slides: Data Modeling Fundamentals
Data Modeling Fundamentals from DATAVERSITY To view the on-demand recording from this presentation, click HERE>> About the Webinar Because every organization produces and propagates data as part of their day-to-day operations, data trends are becoming more and more important in the mainstream business world’s consciousness. For many organizations in various industries, though, comprehension of this […]
The Future of Data Modeling in Data Governance
The process of Data Modeling is playing an increasingly important role when creating or improving a Data Governance program. Data Governance has become extremely complex, and the use of Data Modeling promotes understanding. One basic reason for the increasing complexity is the expanding use of data analytics for purposes of research. Another reason is complying […]
2023: Mitigating Data Debt by Knowing or by Guessing?
One of the newer data buzzwords is “data debt.” Actually, it is approximately 10 years old, and it became popular ever since agile people realized that postponing things creates not only technical debt, but certainly also data debt. Will we, in 2023, be better at not creating so much data debt, and will it be […]
Types of Data Models and Their Uses
Businesses can benefit from Data Modeling in a variety of important ways. Data models serve two primary purposes. They can be designed to represent the organization’s current data system, providing an understanding of how the data flows through an organization, or be developed to show a new desired data system. The model can be used […]