| Edition |
Second edition. |
| Description |
1 online resource : illustrations (some color) |
|
text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Bibliography |
Includes bibliographical references and index. |
| Note |
Online resource; title from digital title page (viewed on June 15, 2021). |
| Contents |
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. |
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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. |
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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. |
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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. |
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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. |
| Subject |
Information technology -- Management.
|
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Electronic data processing -- Quality control.
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Technologie de l'information -- Gestion.
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Electronic data processing -- Quality control
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Information technology -- Management
|
| Other Form: |
Ebook version : 9780128180167 |
|
Print version: McGilvray, Danette. Executing data quality projects. Second edition. London, United Kingdom ; San Diego, CA, United States : Academic Press, [2021] 9780128180150 0128180153 (OCoLC)1233317906 |
| ISBN |
9780128180167 (electronic bk.) |
|
0128180161 (electronic bk.) |
|
9780128180150 |
|
0128180153 |
| Standard No. |
AU@ 000069405226 |
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DKDLA 820120-katalog:9910110385605765 |
|
