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Executing data quality projectsten steps to quality data and trusted information /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Executing data quality projectsDanette McGilvray.
Reminder of title:	ten steps to quality data and trusted information /
Author:	McGilvray, Danette.
Published:	London, United Kingdom ;Academic Press,2021.
Description:	1 online resource :ill. (some col.)
Subject:	Information technologyManagement.
Online resource:	https://www.sciencedirect.com/science/book/9780128180150
ISBN:	9780128180167 (electronic bk.)

Executing data quality projectsten steps to quality data and trusted information /
McGilvray, Danette.

Executing data quality projectsten steps to quality data and trusted information /[electronic resource] :Danette McGilvray. - 2nd ed. - London, United Kingdom ;Academic Press,2021. - 1 online resource :ill. (some col.)

Includes bibliographical references and index.

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.

ISBN: 9780128180167 (electronic bk.)Subjects--Topical Terms:

183357
Information technology
--Management.Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: HD30.2 / .M397 2021

Dewey Class. No.: 658.4/04

Executing data quality projectsten steps to quality data and trusted information /
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260 $a London, United Kingdom ; $a San Diego, CA, United States : $b Academic Press, $c 2021.
300 $a 1 online resource : $b ill. (some col.)
504 $a Includes bibliographical references and index.
505 8 $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.
505 8 $a 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.
505 8 $a 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.
505 8 $a Step 2.1 Understand Relevant Requirements and Constraints -- Business Benefit and Context -- Approach -- 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.
505 8 $a 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.
650 0 $a Information technology $x Management. $3 183357
650 0 $a Electronic data processing $x Quality control. $3 224688
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