Executing data quality projects : (Record no. 3323)
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000 -LEADER | |
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fixed length control field | 08956nam a22003375i 4500 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | OSt |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220905101354.0 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9780128180150 |
040 ## - CATALOGING SOURCE | |
Original cataloging agency | DLC |
Language of cataloging | eng |
Description conventions | rda |
Transcribing agency | DLC |
Modifying agency | HITLIB |
041 ## - LANGUAGE CODE | |
Language code of text/sound track or separate title | Eng |
042 ## - AUTHENTICATION CODE | |
Authentication code | pcc |
050 ## - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | HD30.2 |
Item number | MCG |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | McGilvray, Danette, |
Relator term | author. |
245 10 - TITLE STATEMENT | |
Title | Executing data quality projects : |
Remainder of title | ten steps to quality data and trusted information (tm) / |
Statement of responsibility, etc. | Danette McGilvray. |
250 ## - EDITION STATEMENT | |
Edition statement | Second edition |
263 ## - PROJECTED PUBLICATION DATE | |
Projected publication date | 2103 |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | Waltham : |
Name of producer, publisher, distributor, manufacturer | Elsevier, |
Date of production, publication, distribution, manufacture, or copyright notice | 2021. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 355 pages |
Other physical details | illustrations |
336 ## - CONTENT TYPE | |
Content type term | text |
Content type code | txt |
Source | rdacontent |
337 ## - MEDIA TYPE | |
Media type term | unmediated |
Media type code | n |
Source | rdamedia |
338 ## - CARRIER TYPE | |
Carrier type term | volume |
Carrier type code | nc |
Source | rdacarrier |
500 ## - GENERAL NOTE | |
General note | Includes index |
505 ## - FORMATTED CONTENTS NOTE | |
Formatted contents note | Intro<br/>Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information (TM)<br/>Copyright<br/>In Praise Of<br/>Dedication<br/>Contents<br/>Acknowledgments<br/>Foreword<br/>Introduction<br/>The Reason for This Book<br/>What Is in This Book<br/>Intended Audiences and How to Use This Book<br/>Why a Second Edition<br/>My Goals for You<br/>Get Started!<br/>Structure of This Book<br/>Chapter 1 Data Quality and the Data-Dependent World<br/>Data, Data Everywhere<br/>Trends and the Need for High-Quality Data<br/>Data and Information<br/>Assets to Be Managed<br/>The Leader's Data Manifesto<br/>What You Can Do<br/>Are You Ready to Change?<br/>Chapter 2 Data Quality in Action<br/>Introduction to Chapter 2<br/>A Word About Tools<br/>Real Issues Need Real Solutions<br/>About the Ten Steps Methodology<br/>The Data in Action Triangle<br/>Preparing Your People<br/>Engaging Management<br/>Key Terms<br/>Chapter 2 Summary<br/>Chapter 3 Key Concepts<br/>Introduction to Chapter 3<br/>The Framework for Information Quality<br/>The Information Life Cycle<br/>Data Quality Dimensions<br/>Business Impact Techniques<br/>Data Categories<br/>Data Specifications<br/>Data Governance and Stewardship<br/>Ten Steps Process Overview<br/>Data Quality Improvement Cycle<br/>Concepts and Action<br/>Making the Connection<br/>Chapter 3 Summary<br/>Chapter 4 The Ten Steps Process<br/>Introduction to Chapter 4<br/>Step 1 Determine Business Needs and Approach<br/>Introduction to Step 1<br/>Step 1.1 Prioritize Business Needs and Select Project Focus<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 1.2 Plan the Project<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 1 Summary<br/>Step 2 Analyze Information Environment<br/>Introduction to Step 2<br/>Step 2.1 Understand Relevant Requirements and Constraints<br/>Business Benefit and Context<br/>Approach. Sample Output and Templates<br/>Step 2.2 Understand Relevant Data and Data Specifications<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 2.3 Understand Relevant Technology<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 2.4 Understand Relevant Processes<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 2.5 Understand Relevant People and Organizations<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 2.6 Understand Relevant Information Life Cycle<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 2 Summary<br/>Step 3 Assess Data Quality<br/>Introduction to Step 3<br/>Step 3.1 Perception of Relevance and Trust<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 3.2 Data Specifications<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 3.3 Data Integrity Fundamentals<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 3.4 Accuracy<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 3.5 Uniqueness and Deduplication<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 3.6 Consistency and Synchronization<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 3.7 Timeliness<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 3.8 Access<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 3.9 Security and Privacy<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 3.10 Presentation Quality<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 3.11 Data Coverage<br/>Business Benefit and Context. Approach<br/>Sample Output and Templates<br/>Step 3.12 Data Decay<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 3.13 Usability and Transactability<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 3.14 Other Relevant Data Quality Dimensions<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 3 Summary<br/>Step 4 Assess Business Impact<br/>Introduction to Step 4<br/>Step 4.1 Anecdotes<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 4.2 Connect the Dots<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 4.3 Usage<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 4.4 Five Whys for Business Impact<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 4.5 Process Impact<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 4.6 Risk Analysis<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 4.7 Perception of Relevance and Trust<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 4.8 Benefit vs. Cost Matrix<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 4.9 Ranking and Prioritization<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 4.10 Cost of Low-Quality Data<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 4.11 Cost-Benefit Analysis and ROI<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 4.12 Other Relevant Business Impact Techniques<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 4 Summary<br/>Step 5 Identify Root Causes<br/>Introduction to Step 5. Step 5.1 Five Whys for Root Causes<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 5.2 Track and Trace<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 5.3 Cause-and-Effect/Fishbone Diagram<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 5.4 Other Relevant Root Cause Analysis Techniques<br/>Business Benefit and Context<br/>Step 5 Summary<br/>Step 6 Develop Improvement Plans<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 6 Summary<br/>Step 7 Prevent Future Data Errors<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 7 Summary<br/>Step 8 Correct Current Data Errors<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 8 Summary<br/>Step 9 Monitor Controls<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 9 Summary<br/>Step 10 Communicate, Manage, and Engage People Throughout<br/>Business Benefit and Context<br/>Approach<br/>Sample Output and Templates<br/>Step 10 Summary<br/>Chapter 4 Summary<br/>Chapter 5 Structuring Your Project<br/>Introduction to Chapter 5<br/>Types of Data Quality Projects<br/>Project Objectives<br/>Comparing SDLCs<br/>Data Quality and Governance in SDLCs<br/>Roles in Data Quality Projects<br/>Project Timing, Communication, and Engagement<br/>Chapter 5 Summary<br/>Chapter 6 Other Techniques and Tools<br/>Introduction to Chapter 6<br/>Track Issues and Action Items<br/>Design Data Capture and Assessment Plans<br/>Analyze, Synthesize, Recommend, Document, and Act on Results<br/>Information Life Cycle Approaches<br/>Conduct a Survey<br/>Metrics<br/>The Ten Steps and Other Methodologies and Standards<br/>Tools for Managing Data Quality<br/>Chapter 6 Summary<br/>Chapter 7 A Few Final Words<br/>Appendix: Quick References. Framework for Information Quality<br/>POSMAD Interaction Matrix Detail<br/>Data Quality Dimensions<br/>Business Impact Techniques<br/>The Ten Steps Process<br/>Process Flows for Steps 1-4<br/>Data in Action Triangle<br/>Glossary<br/>List of Figures, Tables, and Templates<br/>Bibliography<br/>Index<br/>About the Author |
520 ## - SUMMARY, ETC. | |
Summary, etc. | "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"-- |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Electronic bookst |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Electronic data processing Quality control |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Information technology Management |
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
a | 0 |
b | ibc |
c | orignew |
d | 2 |
e | epcn |
f | 20 |
g | y-gencatlg |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Library of Congress Classification |
Koha item type | Books |
Withdrawn status | Lost status | Source of classification or shelving scheme | Not for loan | Home library | Current library | Date acquired | Source of acquisition | Inventory number | Total Checkouts | Full call number | Barcode | Date last seen | Copy number | Koha item type |
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Library of Congress Classification | Harare Institute of Technology Main Library | Harare Institute of Technology Main Library | 01/09/2022 | Donation | 10425 | HD30.2 MCG | BK003129 | 22/07/2024 | 1 | Books |