Data, undoubtedly, is one of the most significant components making up a machine learning (ML) workflow, and due to this, data management is one of the most important factors in sustaining ML pipelines. An appropriate data model allows the respective data to be accessible all day long, operate at peak efficiency, and be adjusted to […]
Book of the Month: Data Models for Banking, Finance, and Insurance
Welcome to the first “Book of the Month” for 2025. This time, we’ll be going over “Data Models for Banking, Finance, and Insurance” by Claire L. Frankel. This book arms the reader with a set of best practices and data models to help implement solutions in the banking, finance, and insurance industries. Right at the beginning […]
Data Modeling Trends in 2025: Simplifying Complex Business Problems
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 […]
Data Architecture Online – Free Conference
DATE: July 23, 2025 LOCATION: Online ABOUT THE EVENT: The annual Data Architecture Online (DAO) event will cover key strategies and technologies you need to know in order to build and manage a modern Data Architecture. Tap into the combined expertise of several industry-leading professionals and connect with hundreds of data peers during this day […]
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 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, […]
Why Your Business Needs Data Modeling and Business Architecture Integration
In the contemporary business environment, the integration of data modeling and business structure is not only advantageous but crucial. This dynamic pair of documents serves as the foundation for strategic decision-making, providing organizations with a distinct pathway toward success. Data modeling provides organization to your facts, whereas business architecture defines the operational mechanisms of your […]
Fundamentals of Dimensional Data Modeling
In today’s data-driven business environment, organizations demand reliable and stable business insights to make informed decisions. To cater to this demand, over 60% of companies turn to data warehouses (DWs) to store, manage, and analyze their data efficiently. The success of these DW implementations depends on dimensional data modeling – an analytical approach that organizes and categorizes data for efficient analysis and […]
3 Key Benefits of Pragmatic Data Modeling
In 2024, companies have developed a renewed interest in the benefits of Data Modeling, engaging in pragmatic planning and activities around diagramming requirements. Organizations want to document data architectures to get good Data Quality and overcome challenges. Notably, the resolution to each data incident has risen significantly by 15 hours between 2022 and 2023. Furthermore, 80% of data executives and business leaders say cultural impediments […]