Which statement is true regarding data modeling techniques?

The statement that the use case and audience drives the selection of proven data modeling techniques is accurate. Different scenarios and target users can have varying requirements, which directly influence how data should be organized, interpreted, and manipulated. For instance, a data model intended for a highly technical audience, such as data scientists, may prioritize complex relationships and rich metadata, while a model aimed at business stakeholders might focus on clarity and ease of understanding, presenting aggregated data and key performance indicators.

This consideration of specific use cases and audiences ensures that the data model aligns with the goals of the project and meets the stakeholders' needs for analysis, reporting, or operational support. It highlights the importance of tailoring data models to fit the context in which they will be used, rather than applying a one-size-fits-all approach, which might not adequately serve diverse requirements.