Introduction to Modeling and Analyzing Business System Data

Workshop: How to Model and Analyze Business System Data

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Overview

Data represents the atomic level of today’s information systems. Data is the building blocks upon which everything else depends. In a very real sense if you get the data right, the rest will follow. If you get the data wrong, the system may never recover. In order for the data to be right, it must reflect how the business thinks about and uses its data. Creating a business data model is a critical first step.

Outline

  • Things to Talk About . . .
  • Categories and Types of Requirements
  • Another Common Classification
  • The Three C’s of Requirements Definition
  • The Data Foundation
  • Data, Information and Knowledge
  • Of Entitnes and Attributes
  • Representing Relationsips on a Data Model
  • Data Modeling Symbols and Conventions
  • Example of a Business Data Model
  • Wrap-up and Review


Objectives
  • Defend the criticality of business data models for the business community
  • Explain the limits that a data model represents for the business
  • Define entities, relationships and attributes
  • Critique and review an existing data model
  • List 2 approaches for developing a business data model

 

Our vision of a virtual workshop is web-based training that is highly interactive. We absolutely avoid the death by page-turning and the passive learning approach that is highly prevalent in most web-based training.

1 hour

Target Audience

Business Analysts
Business Process Owners
Data Administrators
Data Analysts
Requirements Definition Specialists
System Analysts
Test Engineers
Anyone charged with managing, understanding and/or improving information use.