So, given that, do you need an enterprise data model? If you are building a more or less stand-alone application where the data has no significant reuse, then data modeling is often counterproductive.

Strict training data management is needed throughout the model-building process by controlling and mediating the influence of multiple stakeholders. The scope and definitions of the model need to ...

Unlock advanced Power BI features with DAX functions and data modeling techniques to elevate your data analysis skills and insights.

With building energy modeling, I think our foresight can be 20/20—and maybe even better. By developing energy models together with the design team early in a project, we can use data to avoid future ...

Excel's Data Model feature allows you to build relationships between data sets for easier reporting. Here's how to use it to make data analysis easier.

Before founders begin building AI systems, they should think carefully about their risk appetite, data management practices and strategies for future-proofing their AI stack.

Best practices include building EDMs in layers, focusing on the most critical business subject areas in a top-down or bottom-up approach. A brief overview of these layers in an EDM consists of four ...

Data models are used to represent real-world entities, but often have limitations. Avoid common data modeling mistakes for data integrity.