Data Analysis and Design Workshop

Overview:

Within any business framework, data stands as the central element of decision-making processes, necessitating its availability in the appropriate format and at the right time. Whether assessing an application package, altering a business process, or transitioning physical platforms, data assumes a pivotal role. This course is designed to empower participants with the capability to identify, collect, and analyze requisite data for these tasks. It is imperative, however, to view data as just one facet among the eight dimensions of any system. While the course primarily delves into the data dimension, it also underscores the integration of data with other dimensions. The analysis and design of data extend to the Business, Application, and Environment/Platform architectural levels.


Encompassing the entire data dimension, this course spans from modelling logical business semantics to physical database design, incorporating optimisation parameters using DISCON's data work methods and techniques.


Mathematical data work methods and techniques are comprehensively explored in both theoretical and practical case study contexts. This course not only imparts theoretical knowledge but, more significantly, enables participants to promptly apply this understanding within their professional environments.

  • Business Analysts
  • Information Systems Architects
  • Application Architects
  • Systems Designers
  • System Builders
  • Systems Design Facilitators 
  • System Programmers

  • 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

5 Days

A minimum of 5 attendees are required to present the course.

BEC, BEI

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