Business Data Modelling

Business Analysis Courses

You will learn to:

Note: Business Data Modelling (BAP-DWL) replaces Logical Data Modelling (BAP-DJ7)

Course Synopsis

This business data modelling training course explores business rules, policies and procedures and how they can be modelled effectively. Participants will learn entity relationship diagramming, super and sub-types, attributive and associative entities, and documenting data constraints. The course's logical data modelling approaches focus on the important requirements of the business that are discovered through significant user involvement during the analysis phase. You will also learn how to create models without being limited by technology or organisational structure.

The ability to communicate the intersection of business processes and information/data needs is key to the success of any software development project. Understanding and explaining user needs is a major challenge and opportunity for the business analyst. The business analyst who understands structured modelling has a distinct advantage in addressing and communicating requirements. And the use of models can greatly increase all stakeholders’ understanding of the relevancy of business rules and data management requirements to the project at hand.

Reminder: Prior to taking this course, we recommend that you have acquired the background as taught in Eliciting and Managing Requirements. This course is aligned with version 3.0 of A Guide to the Business Analysis Body of Knowledge® (BABOK® Guide)™.

This course is aligned with version 3.0 of A Guide to the Business Analysis Body of Knowledge® (BABOK® Guide)™.

Course Topics

Business Data and Governance
  • Data Governance
  • Data Management Functions
  • Data Governance vs. IT Governance
  • Data Management Roles
  • Business Analysis and Data Management
  • The Value of Data to the Organisation
  • Data Management and Risk
  • Data, Costs, and Revenue
  • Data Quality
  • Conceptual Data Models System development challenges
  • Data requirements
  • Models and modelling
  • Data, information and knowledge
Data Relationships
  • Naming standards for relationships
  • Relationship cardinalities
  • Relationships affected by time
  • Modelling time-dependent data
  • The importance of definitions
  • Alternative notations
Logical Data Models
  • Entity types
  • Subtyping
  • Attributive entities and multivalued attributes
  • Non dependence
Applying Logical Data Models
  • Associative entities
  • Data constraints
  • Using logical data models
  • Analysis of organisational and geographical data distribution
  • Supporting the organisational data standards
  • Software acquisition
Data Normalisation
  • Normalisation and forms
  • The physical data model
  • Reverse engineering
  • The database designer
  • Denormalisation
Verifying and Validating Data Models
  • Internal verification
  • Presenting data diagrams
  • Dos and don'ts of presenting data diagrams
Business Data Modelling Workshop
  • Business Data Modelling Workshop

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Open enrolment course information

Professional Development Units (PDUs): 21

Technical Project Management (PDUs): 21.00

Leadership (PDUs): 0.00

Strategic & Business Management (PDUs): 0.00

Duration: 3 days

Course Dates (click on a date to register) :

Expression of Interest
No dates for this course are currently scheduled.
Please contact us at +61 2 8999 9162 or email for more information or to register your interest.

This course is available as an in-house corporate training. To find out more about corporate training for your organisation, contact us.

PMBOK® Guide knowledge areas: