Which approach is used to simplify the representation of requirements related to data?

The correct choice is data modeling because it specifically focuses on creating a conceptual representation of data and its relationships. This approach helps stakeholders understand complex data structures by visually or diagrammatically representing the entities, attributes, and relationships in a way that simplifies the interpretation and communication of requirements related to data.

Data modeling facilitates clearer communication among project stakeholders, ensuring that everyone has a shared understanding of the data requirements, which is essential for proper system design and development. By abstracting the complexities of data into models, the approach makes it easier to analyze and manage data-related requirements throughout the project lifecycle.

While options such as data visualization, requirements mapping, and information architecture do play important roles in requirements analysis, they are more focused on presenting information, tracking relationships between requirements, or organizing information contextually rather than simplifying the representation of data specifically. Therefore, data modeling stands out as the most appropriate approach for this specific purpose.