Executing data quality projects : ten steps to quality data and trusted information (tm) /
Danette McGilvray.
- Second edition
- 355 pages illustrations
Includes index
Intro Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information (TM) Copyright In Praise Of Dedication Contents Acknowledgments Foreword Introduction The Reason for This Book What Is in This Book Intended Audiences and How to Use This Book Why a Second Edition My Goals for You Get Started! Structure of This Book Chapter 1 Data Quality and the Data-Dependent World Data, Data Everywhere Trends and the Need for High-Quality Data Data and Information Assets to Be Managed The Leader's Data Manifesto What You Can Do Are You Ready to Change? Chapter 2 Data Quality in Action Introduction to Chapter 2 A Word About Tools Real Issues Need Real Solutions About the Ten Steps Methodology The Data in Action Triangle Preparing Your People Engaging Management Key Terms Chapter 2 Summary Chapter 3 Key Concepts Introduction to Chapter 3 The Framework for Information Quality The Information Life Cycle Data Quality Dimensions Business Impact Techniques Data Categories Data Specifications Data Governance and Stewardship Ten Steps Process Overview Data Quality Improvement Cycle Concepts and Action Making the Connection Chapter 3 Summary Chapter 4 The Ten Steps Process Introduction to Chapter 4 Step 1 Determine Business Needs and Approach Introduction to Step 1 Step 1.1 Prioritize Business Needs and Select Project Focus Business Benefit and Context Approach Sample Output and Templates Step 1.2 Plan the Project Business Benefit and Context Approach Sample Output and Templates Step 1 Summary Step 2 Analyze Information Environment Introduction to Step 2 Step 2.1 Understand Relevant Requirements and Constraints Business Benefit and Context Approach. Sample Output and Templates Step 2.2 Understand Relevant Data and Data Specifications Business Benefit and Context Approach Sample Output and Templates Step 2.3 Understand Relevant Technology Business Benefit and Context Approach Sample Output and Templates Step 2.4 Understand Relevant Processes Business Benefit and Context Approach Sample Output and Templates Step 2.5 Understand Relevant People and Organizations Business Benefit and Context Approach Sample Output and Templates Step 2.6 Understand Relevant Information Life Cycle Business Benefit and Context Approach Sample Output and Templates Step 2 Summary Step 3 Assess Data Quality Introduction to Step 3 Step 3.1 Perception of Relevance and Trust Business Benefit and Context Approach Sample Output and Templates Step 3.2 Data Specifications Business Benefit and Context Approach Sample Output and Templates Step 3.3 Data Integrity Fundamentals Business Benefit and Context Approach Sample Output and Templates Step 3.4 Accuracy Business Benefit and Context Approach Sample Output and Templates Step 3.5 Uniqueness and Deduplication Business Benefit and Context Approach Sample Output and Templates Step 3.6 Consistency and Synchronization Business Benefit and Context Approach Sample Output and Templates Step 3.7 Timeliness Business Benefit and Context Approach Sample Output and Templates Step 3.8 Access Business Benefit and Context Approach Sample Output and Templates Step 3.9 Security and Privacy Business Benefit and Context Approach Sample Output and Templates Step 3.10 Presentation Quality Business Benefit and Context Approach Sample Output and Templates Step 3.11 Data Coverage Business Benefit and Context. Approach Sample Output and Templates Step 3.12 Data Decay Business Benefit and Context Approach Sample Output and Templates Step 3.13 Usability and Transactability Business Benefit and Context Approach Sample Output and Templates Step 3.14 Other Relevant Data Quality Dimensions Business Benefit and Context Approach Sample Output and Templates Step 3 Summary Step 4 Assess Business Impact Introduction to Step 4 Step 4.1 Anecdotes Business Benefit and Context Approach Sample Output and Templates Step 4.2 Connect the Dots Business Benefit and Context Approach Sample Output and Templates Step 4.3 Usage Business Benefit and Context Approach Sample Output and Templates Step 4.4 Five Whys for Business Impact Business Benefit and Context Approach Sample Output and Templates Step 4.5 Process Impact Business Benefit and Context Approach Sample Output and Templates Step 4.6 Risk Analysis Business Benefit and Context Approach Sample Output and Templates Step 4.7 Perception of Relevance and Trust Business Benefit and Context Approach Sample Output and Templates Step 4.8 Benefit vs. Cost Matrix Business Benefit and Context Approach Sample Output and Templates Step 4.9 Ranking and Prioritization Business Benefit and Context Approach Sample Output and Templates Step 4.10 Cost of Low-Quality Data Business Benefit and Context Approach Sample Output and Templates Step 4.11 Cost-Benefit Analysis and ROI Business Benefit and Context Approach Sample Output and Templates Step 4.12 Other Relevant Business Impact Techniques Business Benefit and Context Approach Sample Output and Templates Step 4 Summary Step 5 Identify Root Causes Introduction to Step 5. Step 5.1 Five Whys for Root Causes Business Benefit and Context Approach Sample Output and Templates Step 5.2 Track and Trace Business Benefit and Context Approach Sample Output and Templates Step 5.3 Cause-and-Effect/Fishbone Diagram Business Benefit and Context Approach Sample Output and Templates Step 5.4 Other Relevant Root Cause Analysis Techniques Business Benefit and Context Step 5 Summary Step 6 Develop Improvement Plans Business Benefit and Context Approach Sample Output and Templates Step 6 Summary Step 7 Prevent Future Data Errors Business Benefit and Context Approach Sample Output and Templates Step 7 Summary Step 8 Correct Current Data Errors Business Benefit and Context Approach Sample Output and Templates Step 8 Summary Step 9 Monitor Controls Business Benefit and Context Approach Sample Output and Templates Step 9 Summary Step 10 Communicate, Manage, and Engage People Throughout Business Benefit and Context Approach Sample Output and Templates Step 10 Summary Chapter 4 Summary Chapter 5 Structuring Your Project Introduction to Chapter 5 Types of Data Quality Projects Project Objectives Comparing SDLCs Data Quality and Governance in SDLCs Roles in Data Quality Projects Project Timing, Communication, and Engagement Chapter 5 Summary Chapter 6 Other Techniques and Tools Introduction to Chapter 6 Track Issues and Action Items Design Data Capture and Assessment Plans Analyze, Synthesize, Recommend, Document, and Act on Results Information Life Cycle Approaches Conduct a Survey Metrics The Ten Steps and Other Methodologies and Standards Tools for Managing Data Quality Chapter 6 Summary Chapter 7 A Few Final Words Appendix: Quick References. Framework for Information Quality POSMAD Interaction Matrix Detail Data Quality Dimensions Business Impact Techniques The Ten Steps Process Process Flows for Steps 1-4 Data in Action Triangle Glossary List of Figures, Tables, and Templates Bibliography Index About the Author
"Includes concrete instructions, numerous templates, and practical advice for executing every step of The Ten Steps approach Contains real examples from around the world, gleaned from the author's consulting practice and from those who implemented based on her training courses and the earlier edition of the book 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 templates featured in the text, quick summaries of key ideas from the Ten Steps methodology, and other tools and information that are available online"--
9780128180150
Electronic bookst Electronic data processing Quality control Information technology Management