What do horizontal models in data entities indicate?

What do horizontal models in data entities indicate?

• A. Models that drive business outcomes
• B. Entities and relationships appearing in multiple models
• C. Vertical mapping of lower to higher levels
• D. Strategic planning for future needs

Answer: (B)

The correct answer highlights that horizontal models in data entities reflect entities and relationships that appear across multiple models. This concept is important in data management as it emphasizes the interconnectedness of entities in different domains or contexts. Horizontal models often illustrate how various data elements are related and used across different business processes, not confined to a single model or application. Recognizing the significance of entities appearing in multiple models is essential for ensuring data consistency, integrity, and reusability. It supports a holistic view of data within an organization, which is crucial for effective decision-making and data governance. In contrast, the other options refer to various aspects of data management but do not capture the essence of horizontal models. While models that drive business outcomes could be considered part of what horizontal relationships may support, they do not specifically define what a horizontal model is. Vertical mapping pertains to hierarchical arrangements, which is not relevant to horizontal models. Strategic planning typically involves a broader view of future initiatives rather than focusing on the relationships depicted in horizontal models.

The correct answer highlights that horizontal models in data entities reflect entities and relationships that appear across multiple models. This concept is important in data management as it emphasizes the interconnectedness of entities in different domains or contexts. Horizontal models often illustrate how various data elements are related and used across different business processes, not confined to a single model or application.

Recognizing the significance of entities appearing in multiple models is essential for ensuring data consistency, integrity, and reusability. It supports a holistic view of data within an organization, which is crucial for effective decision-making and data governance.

In contrast, the other options refer to various aspects of data management but do not capture the essence of horizontal models. While models that drive business outcomes could be considered part of what horizontal relationships may support, they do not specifically define what a horizontal model is. Vertical mapping pertains to hierarchical arrangements, which is not relevant to horizontal models. Strategic planning typically involves a broader view of future initiatives rather than focusing on the relationships depicted in horizontal models.