MODELLING DATA REQUIREMENTS

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Available Now

Data Models are utilized to specify the information needs or information requirements of an organization in a graphical format.

 This one-day course covers essential aspects of class models, including what they are, their appearance, and their importance. 

• Key components of a class, 
• Common Fact Finding Techniques
• Business rules, 
• Associations, 
• Multiplicity. 
• Primary keys and Foreign keys, 
• Derived attributes, 
• Generalization
• Aggregation
• Composition, 
• The capture of historic data. 
• Data definitions is also a key focus. 
• Application and evaluation of artificial intelligence

Furthermore, the course introduces the application of artificial intelligence in this context. By the end of this course, you will have the skills needed to produce effective data models for your projects or to interpret models created by others.

In Development

Explore State Models, also known as State Machines or State Transition Diagrams, to gain insight into their appearance, key components, and how they are utilized by Business Analysts to support database design, development, and testing in accordance with business rules.

This one-day course includes:

- Specification of the possible states of a record or business object, aligned with data requirements

- Definition of the actions or events that trigger changes to the status of a record

- Understanding of how these models add depth to the requirements documentation

- Support for the work of testers and database designers

This course equips you with the necessary skills to create State Models for your projects or interpret models developed by others.

Key topics from the courses are condensed into smaller one-hour sessions that start at 12:30. These sessions are ideal for those who may not have the time to attend a full course for one or more days or who desire a quick overview. 

These interactive sessions allow for discussion of key topics such as business rules and data requirements, but they do not include the practical exercises found in a comprehensive course. 

Available now: 

- Data Models: An Overview. 

- Associations, Business Rules, and Multiplicity. 

- Primary Keys, Foreign Keys, and Derived Attributes. 

- Generalisation, Aggregation, Composition, and Capturing Historic Data. 

- Defining the Detailed Requirements with Data Definitions. 

In Development: 

- State Models: An Overview.