語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Executing data quality projects : te...
~
McGilvray, Danette.
Executing data quality projects : ten steps to quality data and trusted information
紀錄類型:
書目-語言資料,印刷品 : 單行本
副題名:
ten steps to quality data and trusted information
作者:
McGilvrayDanette.,
其他團體作者:
ScienceDirect (Online service)
出版地:
Amsterdam
出版者:
Morgan Kaufmann/Elsevier;
出版年:
c2008.
面頁冊數:
xviii, 325 p.ill. : 28 cm.;
標題:
Electronic data processing - Quality control. -
標題:
Information technology - Management. -
標題:
Electronic books. -
電子資源:
http://www.engineeringvillage.com/controller/servlet/OpenURL?genre=book&isbn=9780123743695
電子資源:
http://www.engineeringvillage.com/controller/servlet/OpenURL?genre=book&isbn=9780123743695
附註:
Electronic reproduction. Amsterdam : Elsevier Science & Technology, 2008.
摘要註:
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.
ISBN:
0123743699
內容註:
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.
Executing data quality projects : ten steps to quality data and trusted information
McGilvray, Danette.
Executing data quality projects
: ten steps to quality data and trusted information / Danette McGilvray. - Amsterdam : Morgan Kaufmann/Elsevier, c2008.. - xviii, 325 p. ; ill. ; 28 cm..
Introduction.
Electronic reproduction. Amsterdam : Elsevier Science & Technology, 2008..
Includes bibliographical references (p. [303]-306) and index..
ISBN 0123743699ISBN 9780123743695
Electronic data processing Information technology Electronic books. -- Quality control. -- Management.
Executing data quality projects : ten steps to quality data and trusted information
LDR
:03794cam 2200301Ii 4500
001
363357
005
20130114165307
009
157892
010
1
$a
0123743699
010
1
$a
9780123743695
100
$a
tag100a length not equal 35
101
0
$a
eng
102
$a
ne
135
$a
v
200
1
$a
Executing data quality projects
$e
ten steps to quality data and trusted information
$f
Danette McGilvray.
204
1
$a
[electronic resource]
210
$a
Amsterdam
$a
Boston
$c
Morgan Kaufmann/Elsevier
$d
c2008.
215
1
$a
xviii, 325 p.
$c
ill.
$d
28 cm.
300
$a
Electronic reproduction. Amsterdam : Elsevier Science & Technology, 2008.
320
$a
Includes bibliographical references (p. [303]-306) and index.
327
0
$a
Introduction
$a
The Reason for This Book
$a
Intended Audiences
$a
Structure of This Book
$a
How to Use This Book
$a
Acknowledgements
$a
Chapter 1 Overview
$a
Impact of Information and Data Quality
$a
About the Methodology
$a
Approaches to Data Quality in Projects
$a
Engaging Management
$a
Chapter 2 Key Concepts
$a
Introduction
$a
Framework for Information Quality (FIQ)
$a
Information Life Cycle
$a
Data Quality Dimensions
$a
Business Impact Techniques
$a
Data Categories
$a
Data Specifications
$a
Data Governance and Stewardship
$a
The Information and Data Quality Improvement Cycle
$a
The Ten StepsT Process
$a
Best Practices and Guidelines
$a
Chapter 3 The Ten Steps
$a
1. Define Business Need and Approach
$a
2. Analyze Information Environment
$a
3. Assess Data Quality
$a
4. Assess Business Impact
$a
5. Identify Root Causes
$a
6. Develop Improvement Plans
$a
7. Prevent Future Data Errors
$a
8. Correct Current Data Errors
$a
9. Implement Controls
$a
10. Communicate Actions and Results
$a
Chapter 4 Structuring Your Project
$a
Projects and The Ten Steps
$a
Data Quality Project Roles
$a
Project Timing
$a
Chapter 5 Other Techniques and Tools
$a
Introduction
$a
Information Life Cycle Approaches
$a
Capture Data
$a
Analyze and Document Results
$a
Metrics
$a
Data Quality Tools
$a
The Ten Steps and Six Sigma
$a
Chapter 6 A Few Final Words
$a
Appendix Quick References
$a
Framework for Information Quality
$a
POSMAD Interaction Matrix Detail
$a
POSMAD Phases and Activities
$a
Data Quality Dimensions
$a
Business Impact Techniques
$a
The Ten StepsT Overview
$a
Definitions of Data Categories.
330
0
$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.
452
1
$1
0101
$a
9780123743695
606
$a
Electronic data processing
$x
Quality control.
$3
454904
606
$a
Information technology
$x
Management.
$3
454905
606
$a
Electronic books.
$3
452603
676
$a
658.4/04
$v
22
680
$a
HD30.2
$b
.M397 2008eb
700
1
$a
McGilvray
$b
Danette.
$3
454903
712
0 2
$a
ScienceDirect (Online service)
$3
454379
801
0
$a
tw
$b
TUL
$c
20090617
801
1
$a
tw
$b
TUL
$c
20090617
856
7
$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
7
$u
http://www.sciencedirect.com/science/book/9780123743695
$z
An electronic book accessible through the World Wide Web; click for information
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
修改密碼
登入