MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03487nam a22002777a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
ZW-GwMSU |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240502135716.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
240502b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780123743695 (alk. paper) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
0123743699 |
| 040 ## - CATALOGING SOURCE |
|---|
| Transcribing agency |
MSULIB |
| Language of cataloging |
English |
| Description conventions |
rda |
| Original cataloging agency |
rda |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
HD30.2 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 / |
| Statement of responsibility, etc |
created by Danette McGilvray |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Name of producer, publisher, distributor, manufacturer |
Morgan Kaufmann/Elsevier, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2008. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xviii, 325 pages: |
| Other physical details |
illustrations; |
| Dimensions |
28 cm |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| content type term |
text |
| 337 ## - MEDIA TYPE |
|---|
| source |
rdamedia |
| media type term |
unmediated |
| media type code |
n |
| 338 ## - CARRIER TYPE |
|---|
| source |
rdacarrier |
| carrier type term |
volume |
| carrier type code |
nc |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
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 StepsT Process Best Practices and Guidelines Chapter 3 The Ten Steps 1. Define Business Need and Approach 2. Analyze Information Environment 3. Assess Data Quality 4. Assess Business Impact 5. Identify Root Causes 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 StepsT Overview Definitions of Data Categories |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Data quality problems cost businesses billions of dollars each year in unnecessary printing, postage, and staffing costs, in the steady erosion of an organization's credibility among customers and suppliers, and the inability to make sound decisions. Danette McGilvray presents a systematic, proven approach to improving data quality by combining a conceptual framework for understanding information quality with techniques and instructions for improving it. The Ten Step approach applies to all types of data and to all types of organizations. * Includes numerous templates, detailed examples, and practical advice for executing every step of The Ten Steps approach. * 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 planning and information-gathering templates featured in the text, quick summaries of key ideas from The Ten Step methodology, and other tools and information that is available online |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Information technology |
| General subdivision |
Management |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Electronic data processing |
| General subdivision |
Quality control |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Book |