東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Executing data quality projects = te...

ScienceDirect (Online service)

Linked to FindBook

Google Book

Amazon

博客來

Executing data quality projects = ten steps to quality data and trusted information /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Executing data quality projects/ Danette McGilvray.
Reminder of title:	ten steps to quality data and trusted information /
Author:	McGilvray, Danette.
Published:	Amsterdam ;Morgan Kaufmann/Elsevier, : c2008.,
Description:	xviii, 325 p. :ill. ;28 cm.
[NT 15003449]:	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.
Subject:	Electronic data processing - Quality control. -
Online resource:	http://www.engineeringvillage.com/controller/servlet/OpenURL?genre=book&isbn=9780123743695An electronic book accessible through the World Wide Web; click for information
Online resource:	http://www.sciencedirect.com/science/book/9780123743695An electronic book accessible through the World Wide Web; click for information
ISBN:	0123743699

Executing data quality projects = ten steps to quality data and trusted information /
McGilvray, Danette.

Executing data quality projectsten steps to quality data and trusted information /[electronic resource] :Danette McGilvray. - Amsterdam ;Morgan Kaufmann/Elsevier,c2008. - xviii, 325 p. :ill. ;28 cm.

Includes bibliographical references (p. [303]-306) and index.

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.

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.

Electronic reproduction.
Amsterdam :
Elsevier Science & Technology,
2008.

Mode of access: World Wide Web.

ISBN: 0123743699

Source: 153224:153382Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

577938
Electronic data processing
--Quality control.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: HD30.2 / .M397 2008eb

Dewey Class. No.: 658.4/04

Executing data quality projects = ten steps to quality data and trusted information /
LDR:04238cam 2200313 a 45 001 841367
003 OCoLC
005 20100601
006 m d
007 cr cn|||||||||
008 100601s2008 ne a sb 001 0 eng d
020 $a 0123743699
020 $a 9780123743695
035 $a (OCoLC)281598415
035 $a ocn281598415
037 $a 153224:153382 $b Elsevier Science & Technology $n http://www.sciencedirect.com
040 $a OPELS $b eng $c OPELS $d OPELS
049 $a TEFA
050 1 4 $a HD30.2 $b .M397 2008eb
082 0 4 $a 658.4/04 $2 22
100 1 $a McGilvray, Danette. $3 935391
245 1 0 $a Executing data quality projects $h [electronic resource] : $b ten steps to quality data and trusted information / $c Danette McGilvray.
260 $a Amsterdam ; $a Boston : $c c2008. $b Morgan Kaufmann/Elsevier,
300 $a xviii, 325 p. : $b ill. ; $c 28 cm.
504 $a Includes bibliographical references (p. [303]-306) and index.
505 0 $a 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 $a 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.
533 $a Electronic reproduction. $b Amsterdam : $c Elsevier Science & Technology, $d 2008. $n Mode of access: World Wide Web. $n System requirements: Web browser. $n Title from title screen (viewed on Dec. 9, 2008). $n Access may be restricted to users at subscribing institutions.
650 0 $a Electronic data processing $x Quality control. $3 577938
650 0 $a Information technology $x Management. $3 572739
655 7 $a Electronic books. $2 lcsh $3 542853
710 2 $a ScienceDirect (Online service) $3 848416
856 4 0 $3 Referex $u http://www.engineeringvillage.com/controller/servlet/OpenURL?genre=book&isbn=9780123743695 $z An electronic book accessible through the World Wide Web; click for information
856 4 0 $3 ScienceDirect $u http://www.sciencedirect.com/science/book/9780123743695 $z An electronic book accessible through the World Wide Web; click for information
994 $a C0 $b TEF