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OCoLC |
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20231120010545.0 |
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m o d |
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210530s2021 enka ob 001 0 eng d |
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|a YDX
|b eng
|e rda
|e pn
|c YDX
|d EBLCP
|d GZM
|d YDX
|d OPELS
|d OCLCO
|d N$T
|d OCLCF
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| 019 |
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|a 1256446903
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| 020 |
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|a 9780128180167
|q (electronic bk.)
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| 020 |
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|a 0128180161
|q (electronic bk.)
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| 020 |
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|z 9780128180150
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| 020 |
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|z 0128180153
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| 035 |
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|a (OCoLC)1253132410
|z (OCoLC)1256446903
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| 050 |
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4 |
|a HD30.2
|b .M397 2021
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| 082 |
0 |
4 |
|a 658.4/04
|2 23
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| 100 |
1 |
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|a McGilvray, Danette,
|e author.
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| 245 |
1 |
0 |
|a Executing data quality projects :
|b ten steps to quality data and trusted information /
|c Danette McGilvray.
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| 250 |
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|a Second edition.
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| 264 |
|
1 |
|a London, United Kingdom ;
|a San Diego, CA, United States :
|b Academic Press,
|c [2021]
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| 300 |
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|a 1 online resource :
|b illustrations (some color)
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| 336 |
|
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|a text
|b txt
|2 rdacontent
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| 337 |
|
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 504 |
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|a Includes bibliographical references and index.
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| 588 |
0 |
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|a Online resource; title from digital title page (viewed on June 15, 2021).
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| 505 |
0 |
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|a 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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| 505 |
8 |
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|a 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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| 505 |
8 |
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|a 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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| 505 |
8 |
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|a 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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| 505 |
8 |
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|a 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.
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| 650 |
|
0 |
|a Information technology
|x Management.
|
| 650 |
|
0 |
|a Electronic data processing
|x Quality control.
|
| 650 |
|
6 |
|a Technologie de l'information
|x Gestion.
|0 (CaQQLa)000264687
|
| 650 |
|
7 |
|a Electronic data processing
|x Quality control
|2 fast
|0 (OCoLC)fst00907045
|
| 650 |
|
7 |
|a Information technology
|x Management
|2 fast
|0 (OCoLC)fst00973112
|
| 776 |
0 |
8 |
|i Ebook version :
|z 9780128180167
|
| 776 |
0 |
8 |
|i Print version:
|a McGilvray, Danette.
|t Executing data quality projects.
|b Second edition.
|d London, United Kingdom ; San Diego, CA, United States : Academic Press, [2021]
|z 9780128180150
|z 0128180153
|w (OCoLC)1233317906
|
| 856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780128180150
|z Texto completo
|
