In which scenario are attributes particularly useful?

Attributes are particularly useful when describing specific details about entities because they provide the necessary characteristics that define and differentiate those entities. In the context of data modeling and requirements analysis, attributes serve to elaborate on the key properties that an entity possesses. For example, if the entity is a "Customer," attributes might include "Name," "Account Number," "Address," and "Email."

Having these attributes allows stakeholders to better understand the nature of the entity, how it interacts with other entities, and what kind of data is necessary for project success. This specificity is critical when stakeholders want to ensure that nothing is overlooked in the requirements gathering phase. Attributes play a pivotal role in clarifying the requirements and ensuring they are comprehensive and detailed enough to guide the development process effectively.

The other options, while relevant in different contexts, do not specifically highlight the defining characteristics of entities the way attributes do. Project deadlines and costs are more about timelines and financials rather than detailed characteristics of the entities involved, and market trends focus on patterns over time rather than on individual entity details.