What is the characteristic of a conceptual data model?

A conceptual data model serves as an abstract and high-level representation of an organization's data requirements, emphasizing the relationships and structure of information without delving into specific technologies. This type of model is centered around capturing the business perspective and needs, allowing stakeholders to understand data concepts and their interrelations clearly.

The independence from any specific solutions or technology is crucial because it ensures that the model can be applicable across various platforms and systems, supporting versatile business processes. It provides a foundational understanding of the data without being constrained by the implementation details, which aids in communication among business stakeholders.

In contrast, other characteristics mentioned focus on specific aspects of the data model, such as the technology it runs on, its application in interface design, or optimizing data storage. However, these are not attributes of a conceptual model but rather pertain to different modeling approaches or concerns. This reinforces the notion that the primary purpose of a conceptual data model is to illustrate a clear business-oriented framework for understanding data.