Style: 1. Describe the behavior of the system with a computer. For example, spreadsheet programs can be used to process financial data and represent company behavior; Make a business plan; Evaluate the possible impact of the company's business changes. See simulation, spreadsheet program. Use a computer to describe the behavior of the system. For example, spreadsheet programs can be used to process financial data representing company activities; Make business forecast; Or evaluate the impact of the proposed changes on the company's operations.
2. Use computers to describe objects and their spatial relationships mathematically. For example, a computer-aided design (CAD) program can generate objects on the screen, use equations to generate lines and shapes, and accurately place them according to their relationship with each other and their two-dimensional or three-dimensional space.
3. Application and data modeling is the process of determining, recording and realizing the data and process requirements of the application. This includes looking at existing data models and processes to determine whether they can be reused, and creating new data models and processes to meet the unique needs of applications.
The main activities in the modeling process include:
Determine the data and its related processes (in fact, the salesperson needs to check the online product catalog and submit a new customer order).
Define data (such as data type, size and default value).
Ensure data integrity (using business rules and validation checks).
Define operating procedures (such as security check and backup).
Select a data storage technology (such as relational, hierarchical or indexed storage technology).
It is important to know that modeling usually involves the management of a company in unexpected ways. For example, when new ideas emerge about which data elements should be maintained by which organizations, data ownership (and the implied responsibility for data maintenance, accuracy and timeliness) is often questioned. Data design often makes companies realize how interdependent enterprise data systems are, and encourages companies to seize the efficiency improvement, cost saving and strategic opportunities brought by collaborative data planning.
At the end of modeling, you have completely defined the requirements of the application, identified the data and services that may be reused by other enterprise applications, and laid a solid foundation for future expansion.