Author's Note: This book is currently out of print. It is reproduced here from the author's original manuscript and does not reflect the editing and revisions by the publisher - McGraw-Hill. The illustrations have been scanned from a published copy of the book.

This electronic version and its illustrations are copyright to the author Martin Modell, and as such may not be copied or reproduced in any manner. This text is posted for and its contents may be used for educational purposes - limited portions may be cited. Any portions of the content thus cited must contain the copyright information to be found at the bottom of each chapter and at the bottom of this page

Part I - Introduction and Background

A picture is worth a thousand words.
However, how many words does it take to describe a picture?
How many ways can a picture be described?
How many words does it take to describe the description of a picture?

• Chapter 1 - What is Data Analysis?
  
• Chapter 2 - Data Analysis and the System Development Life Cycle
  
• Chapter 3 - Data Analysis and Systems Anaysis
  
• Chapter 4 - Data Analysis and the Examination and Study Phase
  
• Chapter 5 - Data Analysis and the System Design Phase
  
• Chapter 6 - Effects of Prior Automation
  
• Chapter 7 - The various types of Data Models
  
• Chapter 8 - Overview of the Entity Relationship
  
• Chapter 9 - Classification Overview
  
• Chapter 10 - Data Modeling Problems and Constraints
  

Part II - Data analysis and building the Real-World Entity Model

Classification helps people think by organizing the subjects of their thoughts and facilitating their understanding of commonality and differences. If the scheme that organizes those thoughts is muddled and ambiguous, so will the thoughts be.

If the scheme provides more than one approach to a subject or more than one way to categorize it, you can be assured that it will fail to communicate a single, consistent message to its users. - Author unknown

• Chapter 11 - Semantic Analysis and Data Analysis
  
• Chapter 12 - Entity Identification
  
• Chapter 13 - Entity Analysis
  
• Chapter 14 - Relationship Idnetification
  
• Chapter 15 - The Entity Family Model
  
• Chapter 16 - Entity-Relationship-Attribute Modeling
  
• Chapter 17 - Data Element Analysis
  
• Chapter 18 - Entity Families Attributes and Normalization
  
• Chapter 19 - Translating Data Models for Implementation
  

Data Analysis, Data Modeling and Classification
Written by Martin E. Modell
Copyright © 2007 Martin E. Modell
All rights reserved. Printed in the United States of America. Except as permitted under United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by any means, or stored in a data base or retrieval system, without the prior written permission of the author.