Friday, January 23, 2009

Introducing Revit Architecture 2008 or Executing Data Quality Projects

Introducing Revit Architecture 2008

Author: Eddy Krygiel

Revit Architecture is transforming how architectural models are designed and documented, and this is the perfect guide to quickly become productive with this industry-leading BIM solution. This practical reference and tutorial offers you a theoretical overview of BIM, explains the principles of Revit, and delves into all of Revit’s essential tools. The expert authors are architects whose years of experience with BIM technology have resulted in these pages of impressive examples, practical explanations, and in-depth and detailed tutorials.



Read also On the High Wire or Forestry Handbook

Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information (TM)

Author: Danette McGilvray

Data quality problems cost businesses billions of dollars each year in unnecessary printing, postage, and staffing costs, in the steady erosion of an organization's credibility among customers and suppliers, and the inability to make sound decisions.

Danette McGilvray presents a systematic, proven approach to improving data quality by combining a conceptual framework for understanding information quality with techniques and instructions for improving it. The Ten Step approach applies to all types of data and to all types of organizations.



* Includes numerous templates, detailed examples, and practical advice for executing every step of The Ten Steps approach.
* Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices.
* A companion Web site includes links to numerous data quality resources, including many of the planning and information-gathering templates featured in the text, quick summaries of key ideas from The Ten Step methodology, and other tools and information that is available online.



Table of Contents:

Introduction
The Reason for This Book

Intended Audiences

Structure of This Book


How to Use This Book


Acknowledgements



Chapter 1 Overview
Impact of Information and Data Quality

About the Methodology



Approaches to Data Quality in Projects

Engaging Management




Chapter 2 Key Concepts
Introduction Framework for Information Quality (FIQ)


Information Life Cycle



Data Quality Dimensions




Business Impact Techniques

Data Categories Data Specifications Data Governance and Stewardship



The Information and Data Quality Improvement Cycle

The Ten Stepsâao Process Best Practices and Guidelines

Chapter 3 The Ten Steps
1. Define Business Need and Approach

2. Analyze Information Environment
3. Assess Data Quality
4. Assess Business Impact
5. Identify Root Causes

6. Develop Improvement Plans

7. Prevent Future Data Errors

8. Correct Current Data Errors

9. Implement Controls


10. Communicate Actions and Results


Chapter 4 Structuring Your Project
Projects and The Ten Steps Data Quality Project Roles Project Timing


Chapter 5 Other Techniques and Tools
Introduction Information Life Cycle Approaches Capture Data




Analyze and Document Results


Metrics





Data Quality Tools



The Ten Steps and Six Sigma



Chapter 6 A Few Final Words

Appendix Quick References
Framework for InformationQuality

POSMAD Interaction Matrix Detail

POSMAD Phases and Activities


Data Quality Dimensions



Business Impact Techniques


The Ten Stepsâao Overview


Definitions of Data Categories

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