What are the different types of data models commonly used in business?

The correct choice identifies hierarchical, relational, and network data models as the primary types commonly used in business. These models serve different purposes and are foundational in organizing and managing data in various applications.

The hierarchical data model organizes data in a tree-like structure, where each record has a single parent, which is beneficial for representing relationships where data has a clear hierarchy. This model allows for efficient data retrieval, especially for applications that require structured queries, like organizational charts or infrastructure systems.

The relational data model, on the other hand, organizes data into tables that can be linked through relationships, making it highly versatile and widely used across various industries. It allows for more complex querying through the use of Structured Query Language (SQL), enabling businesses to easily manipulate and analyze large amounts of data, such as customer information or sales transactions.

The network data model extends the capabilities of the hierarchical model by allowing more complex relationships between entities, permitting multiple parent-child relationships, which is useful in scenarios like telecommunications or transportation networks where connections are not strictly hierarchical.

In contrast, the other options introduced models that are less standard in common business practice or may refer to specialized contexts not typically associated with the core functions of data management in businesses. For example, sequential and linear models might pertain to