Home Page Icon
Home Page
Table of Contents for
Dedication
Close
Dedication
by Danette McGilvray
Executing Data Quality Projects
Cover
In Praise of Executing Data Quality Projects
Title Page
Copyright
Dedication
ACKNOWLEDGMENTS
INTRODUCTION
The Reason for This Book
Intended Audiences
Structure of This Book
How to Use This Book
CHAPTER 1 Overview
The Impact of Information and Data Quality
About the Methodology: Concepts and Steps
Approaches to Data Quality in Projects
Engaging Management
CHAPTER 2 Key Concepts
Introduction
The Framework for Information Quality
The Information Life Cycle
Data Quality Dimensions
Business Impact Techniques
Data Categories
Data Specifi cations
Data Governance and Data Stewardship
The Information and Data Quality Improvement Cycle
The Ten Steps Process
Best Practices and Guidelines
CHAPTER 3 The Ten Steps Process
Introduction
Step 1 Define Business Need and Approach
Introduction
Step 1.1 Prioritize the Business Issue
Step 1.2 Plan the Project
Step 2 Analyze Information Environment
Introduction
Step 2.1 Understand Relevant Requirements
Step 2.2 Understand Relevant Data and Specifications
Step 2.3 Understand Relevant Technology
Step 2.4 Understand Relevant Processes
Step 2.5 Understand Relevant People/Organizations
Step 2.6 Define the Information Life Cycle
Step 2.7 Design Data Capture and Assessment Plan
Step 3 Assess Data Quality
Introduction
Step 3.1 Data Specifications
Step 3.2 Data Integrity Fundamentals
Step 3.3 Duplication
Step 3.4 Accuracy
Step 3.5 Consistency and Synchronization
Step 3.6 Timeliness and Availability
Step 3.7 Ease of Use and Maintainability
Step 3.8 Data Coverage
Step 3.9 Presentation Quality
Step 3.10 Perception, Relevance, and Trust
Step 3.11 Data Decay
Step 3.12 Transactability
Step 4 Assess Business Impact
Introduction
Step 4.1 Anecdotes
Step 4.2 Usage
Step 4.3 Five “Whys” for Business Impact
Step 4.4 Benefit versus Cost Matrix
Step 4.5 Ranking and Prioritization
Step 4.6 Process Impact
Step 4.7 Cost of Low-Quality Data
Step 4.8 Cost-Benefit Analysis
Step 5 Identify Root Causes
Introduction
Step 5.1 Five “Whys” for Root Cause
Step 5.2 Track and Trace
Step 5.3 Cause-and-Effect/Fishbone Diagram
Step 6 Develop Improvement Plans
Step 7 Prevent Future Data Errors
Step 8 Correct Current Data Errors
Step 9 Implement Controls
Step 10 Communicate Actions and Results
The Ten Steps Process Summary
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
The Framework for Information Quality
The POSMAD Interaction Matrix in Detail
POSMAD Phases and Activities
Data Quality Dimensions
Business Impact Techniques
Overview of The Ten Steps Process
Definitions of Data Categories
GLOSSARY
BIBLIOGRAPHY
LIST OF FIGURES, TABLES, AND TEMPLATES
INDEX
ABOUT THE AUTHOR
Search in book...
Toggle Font Controls
Playlists
Add To
Create new playlist
Name your new playlist
Playlist description (optional)
Cancel
Create playlist
Sign In
Email address
Password
Forgot Password?
Create account
Login
or
Continue with Facebook
Continue with Google
Sign Up
Full Name
Email address
Confirm Email Address
Password
Login
Create account
or
Continue with Facebook
Continue with Google
Prev
Previous Chapter
Copyright
Next
Next Chapter
Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™
To Jeff
Now voyager, sail thou forth to seek and find.
–
Walt Whitman
Add Highlight
No Comment
..................Content has been hidden....................
You can't read the all page of ebook, please click
here
login for view all page.
Day Mode
Cloud Mode
Night Mode
Reset