Data Modelling Overview Course [ASS_DMO]

OVERVIEW

Our Data Modelling Overview one day workshop offers a straightforward approach to identifying and modelling data in order to better understand the information needs of your organisation. Learn how to communicate those needs to your stakeholders to facilitate the development of solutions that address business problems and opportunities.

OBJECTIVES

At the end of this workshop delegates shall be able to demonstrate knowledge and understanding of:

• The importance of data and how businesses use data
• A framework for thinking about data and defining data requirements, taking an holistic view
• The purpose of modelling data and the relationship between data analysis and data modelling
• How to build a data model using UML Class diagram notation
• The rationale for validating data models and the use of navigation paths as a validation technique

AUDIENCE

This one day workshop is for anyone who wants to better understand data and the information needs of organisations, and learn how to identify and model data. In particular: business analysts, customer journey managers, systems analysts and solution developers.

CONTENT

Introduction to Data Modelling

• The Importance of data
• Data and information
• Understanding business data
• Taking a holistic view
• A framework for thinking about data
• Data requirements
• Data analysis and data modelling
• What is a data model?
• Alternative data model notations
• Why model data?

Data Modelling with Class Diagrams

• Objects and classes
• Class diagrams
• Representing classes
• Naming conventions
• Associations
• Multiplicity
• Many-to-many relationships
• A framework for building class models

Validating Data Models

• Rationale for validating data models
• Navigation paths