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Ten Steps to Quality Data and Trusted Information (TM)
To order this title, and for more information, click here
By
Danette McGilvray, Granite Falls Consulting, Inc.
Description
Information is currency. Recent studies show that data quality problems are costing businesses billions of dollars every year, with poor
data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound
decisions. In this important and timely new book, Danette McGilvray presents her "Ten Steps" approach to information quality?a proven
method for both understanding and creating information quality in the enterprise. Her trademarked approach, in which she has trained
Fortune 500 clients and hundreds of workshop attendees, applies to all types of data and all types of organizations.
Audience
Database analysts, data analysts, data administrators, data architects, enterprise architects, data warehouse engineers, business analysts,
developers, DBAs, subject matter experts, data modelers, and data stewards and their managers.
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 Steps? Process
Best Practices and Guidelines
Chapter 3. The Ten Steps
1. Define Business Need and Approach
1.1 Prioritize the Business Issue
1.2 Plan the Project
2. Analyze Information
Environment
2.1 Understand Relevant Requirements
2.2 Understand Relevant Data and Specifications
2.3 Understand Relevant
Technology
2.4 Understand Relevant Processes
2.5 Understand Relevant People/Organizations
2.6 Define the Information Life
Cycle
2.7 Design Data Capture and Assessment Plan
3. Assess Data Quality
3.1 Data Specifications
3.2 Data Integrity
Fundamentals
3.3 Duplication
3.4 Accuracy
3.5 Consistency and Synchronization
3.6 Timeliness and Availability
3.7
Ease of Use and Maintainability
3.8 Data Coverage
3.9 Presentation Quality
3.10 Perception, Relevance, and Trust
3.11
Data Decay
3.12 Transactability
4. Assess Business Impact
4.1 Anecdotes
4.2 Usage
4.3 Five ?Whys?
4.4
Benefit vs. Cost Matrix
4.5 Ranking and Prioritization
4.6 Process Impact
4.7 Cost of Low Quality Data
4.8 Cost-Benefit
Analysis
5. Identify Root Causes
5.1 Five ?Whys? for Root Cause
5.2 Track and Trace
5.3 Cause-and-Effect /
Fishbone Diagram
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 Information Quality
POSMAD Interaction Matrix Detail
POSMAD Phases and Activities
Data Quality Dimensions
Business Impact Techniques
The Ten Steps? Overview
Definitions of Data Categories
| Bibliographic details |
Paperback, 352 pages, publication date: JUL-2008
ISBN-13: 978-0-12-374369-5
Imprint: MORGAN KAUFFMAN
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| Price and Ordering |
Price:
EUR 38.95
GBP 32.99
USD 54.95
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Last update: 5 Sep 2009
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