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DATA Analysis and Design

Overview: In any business, it is data that forms the centre of any decision making process and therefore data needs to be available at the right time in the right format. In the process of evaluating an application package, a change in a business process, or even the change of the physical platform, data again plays an important role. This course will equip the attendee with the ability to identify, gather and analyse the data required to perform any of these tasks. However data must be seen as only one of the eight dimensions of any system. Although the course focuses on the data dimension it also depicts the integration of data with the other dimensions. The analysis and design of data also covers the Business, Application and Environment/Platform architectural levels. 

This course covers the total data dimension from modelling the logical business semantics through to physical database design including optimisation parameters utilising the DISCON’s data work methods and techniques.

Mathematical data work methods and techniques are covered in detail in terms of theory and practical case studies. The course equips the attendee not only with the theory but, more importantly, enables the attendee to apply this theory immediately in his/her working environment.

Who should attend: 

  • Business Analysts

  • Information Systems Architects

  • Application Architects

  • Systems Designers

  • System Builders

  • Systems Design Facilitators 

  • System Programmers

Content: ​

  • Definition of a Data Model

  • Data Analysis and Design, the Subject

  • Objectives of Data Analysis and Design

  • System Framework

  • The Data Dimension as part of a Methodology

  • Plan the implementation of the Ideal Business

  • Overview of Data Analysis and Design

  • The Relational Model

  • Business System Architecture represented by Data

  • Definitions of Data Constructs

  • Representing Business Semantic by means of Functional Dependencies between Atomic Data Attribute Sets

  • Model Structuring and Naming Conventions

  • Facilitating the construction of a Data Model

  • Data Synthesis and Data Decomposition as a Normalisation Approach

  • Extending a Logical Data Model

  • Creating a Physical Data Model

  • Functional Effect Back Tracking Recipe

  • Data Analysis and Design of a Business System

  • The effect of a change to a Business System

  • The effect of changing the Current Platform

  • Using Data to do Gap Analysis

  • Meta Model

Duration: 5 Days
Required Training: BEC, BEI

Prices can be located on training page under Booking Form.


A minimum of 5 attendees are required to present the course

Request Application Form

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