| 청구기호 |
HD30.2 .M397 2021 |
| 형태사항 |
1 online resource : illustrations (some color)
|
| 언어 |
English |
| 서지주기 |
Includes bibliographical references and index.
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| 내용 |
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
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
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
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
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
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| 주제 |
Information technology --Management.
Electronic data processing --Quality control.
Electronic data processing --Quality control. --fast --(OCoLC)fst00907045
Information technology --Management. --fast --(OCoLC)fst00973112
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| ISBN |
9780128180167q(electronic bk.)
0128180161 |
