Oracle Fusion Applications is a suite of business software applications developed by Oracle Corporation. It encompasses a wide range of functions such as enterprise resource planning (ERP), human capital management (HCM), customer relationship management (CRM), supply chain management (SCM), and more. The data model in Oracle Fusion Applications refers to the underlying structure that defines how data is organized, stored, and processed within the applications.

The data model in Oracle Fusion Applications is designed to provide a unified and standardized approach to data management across different modules and functionalities. It aims to streamline processes, improve data accuracy, and enhance reporting and analytics capabilities. The data model typically includes the following:

1. Entities and Relationships: These are the fundamental building blocks of the data model. Entities represent distinct data objects, such as employees, customers, products, and transactions. Relationships define how these entities are related, such as an employee’s association with a department or a customer’s purchase history.
2. Attributes: Attributes are the properties or characteristics of entities. For example, an employee entity might have attributes like name, employee ID, date of birth, etc. These attributes store the actual data values.
3. Tables: The data in Oracle Fusion Applications is stored in database tables. Each entity corresponds to a table, and each attribute corresponds to a column within that table.
4. Keys: Keys are used to identifying records within a table. A primary key is a unique identifier for a document in a table, while foreign keys establish relationships between tables.
5. Modules and Functional Areas: Oracle Fusion Applications are organized into modules and functional areas, each serving specific business processes. The data model is designed to support the requirements of these different modules while maintaining consistency and integration.
6. Flexibility: The data model often incorporates the flexibility to accommodate customization and configuration based on the unique needs of different organizations. This is achieved through features like extensible attributes, user-defined fields, and configurable processes.
7. Security: The data model also includes security features to control access to data at various levels, ensuring that sensitive information is protected and only accessible by authorized users.