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

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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, pro...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: McGilvray, Danette
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; Boston : Morgan Kaufmann/Elsevier, �2008.
Temas:
Information technology > Management.
Electronic data processing > Quality control.
Technologie de l'information > Gestion.
TECHNOLOGY & ENGINEERING > Project Management.
BUSINESS & ECONOMICS > Project Management.
Electronic data processing > Quality control
Information technology > Management
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.

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