Managing Data Quality: A practical guide

✍ Scribed by Tim King, Julian Schwarzenbach

• Publisher: BCS, The Chartered Institute for IT
• Tongue: English
• Leaves: 161
• Category: Library

✦ Synopsis

Data is an increasingly important business asset and enabler for organisational activities. Data quality is a key aspect of data management and failure to understand it increases organisational risk and decreases efficiency and profitability. This book explains data quality management in practical terms, focusing on three key areas - the nature of data in enterprises, the purpose and scope of data quality management, and implementing a data quality management system, in line with ISO 8000-61.

✦ Table of Contents

Cover
Copyright Page
CONTENTS
LIST OF FIGURES AND TABLES
AUTHORS
ACKNOWLEDGEMENTS
ABBREVIATIONS
GLOSSARY
PREFACE
PART I THE CHALLENGE OF ENTERPRISE DATA
1 THE DATA ASSET
WHAT ARE DATA?
WHAT ARE DATA QUALITY?
WHAT IS DATA QUALITY MANAGEMENT?
SUMMARY
2 CHALLENGES WHEN EXPLOITING AND MANAGING DATA
THE COMPLEX DATA LANDSCAPE
COMPLEX DECISIONS
VIRTUOUS CIRCLE OR DOWNWARD SPIRAL?
UNCLEAR DATA OWNERSHIP
BACKUPS AND DATA QUALITY
DATA QUALITY AND LACK OF TRANSPARENCY IN BUSINESS CASES
THE DATA TRIANGLE
DATA AS A RAW MATERIAL
THE DATA MACHINE: EXPECTATIONS VS REALITY
DO YOUR DATA TRUST YOU?
THE CHALLENGE OF MANAGING ENTERPRISE DATA QUALITY
SUMMARY
3 THE IMPACT OF PEOPLE ON DATA QUALITY
COMPARISONS BETWEEN DATA QUALITY AND HEALTH AND SAFETY
PEOPLE AND DATA
THE DATA ZOO
HOW DATA BEHAVIOURS INTERACT
INDIVIDUALS AS PART OF A TEAM
TEAMS WITHIN THE ORGANISATION
DATA DEMOTIVATORS
SUMMARY
4 CASE STUDIES AND EXAMPLES
REAL-WORLD EXAMPLES OF THE IMPACTS OF POOR DATA
CASE STUDY – MARS CLIMATE ORBITER
CASE STUDY – MAINTENANCE PRODUCTIVITY TARGETS DEGRADING DATA QUALITY
CASE STUDY – RAILTRACK
CASE STUDY – STATUTORY REPORTING
CASE STUDY – OVERSIZED TRAINS
CASE STUDY – RETAIL FAIL
CASE STUDY – INAPPROPRIATE CONTROLS AND HASTE DEGRADED DATA QUALITY
SUMMARY
PART II A FRAMEWORK FOR DATA QUALITY MANAGEMENT
5 THE PURPOSE AND SCOPE OF DATA QUALITY MANAGEMENT
THE DIFFERENCE BETWEEN DATA MANAGEMENT AND DATA QUALITY MANAGEMENT
KEY PRINCIPLES FOR DATA QUALITY MANAGEMENT
SUMMARY
6 THE ISO 8000‑61 APPROACH
THE SCOPE OF ISO 8000-61
THE PROCESSES IN ISO 8000-61
SUMMARY
7 DATA QUALITY MANAGEMENT CAPABILITY LEVELS
CAPABILITY LEVEL 1
CAPABILITY LEVEL 2
CAPABILITY LEVEL 3
CAPABILITY LEVEL 4
CAPABILITY LEVEL 5
OVERALL CAPABILITY MODEL
SUMMARY
8 ISO 8000‑61 PROCESSES
DATA PROCESSING
PROVISION OF DATA SPECIFICATIONS AND WORK INSTRUCTIONS
DATA QUALITY MONITORING AND CONTROL
DATA QUALITY PLANNING
DATA‑RELATED SUPPORT
RESOURCE PROVISION
DATA QUALITY ASSURANCE
DATA QUALITY IMPROVEMENT
SUMMARY
9 THE MATURITY JOURNEY
PLANNING THE JOURNEY
ASSESSING MATURITY
SUMMARY
PART III IMPLEMENTING DATA QUALITY MANAGEMENT
10 PREPARING THE ORGANISATION FOR DATA QUALITY MANAGEMENT
WHAT DOES A DATA‑ENABLED ORGANISATION LOOK LIKE?
IMPROVEMENT OPPORTUNITIES IN TYPICAL ORGANISATIONS
THE DATA QUALITY MANAGEMENT JOURNEY
THE CASE FOR CHANGE
THE CHANGING ORGANISATION
THE ROLE OF THE CHIEF DATA OFFICER
PREPARING THE ORGANISATION
SUMMARY
11 IMPLEMENTING DATA QUALITY MANAGEMENT
OVERALL APPROACH TO DATA QUALITY MANAGEMENT IMPLEMENTATION
SENIOR‑LEVEL SPONSORSHIP
UNDERSTAND THE CONTEXT
IDENTIFY SYNERGIES
CHOOSE AN IMPLEMENTATION APPROACH
AGREE THE ‘FOOTPRINT’
CHANGE MANAGEMENT
ETHICAL USE OF DATA
DEALING WITH CHALLENGES AND ISSUES
DE‑RISK EXISTING PROJECTS
SECURING BUDGET AND RESOURCES
STARTING IMPLEMENTATION
SUMMARY
12 THE HUMAN FACTOR – ENSURING PEOPLE SUPPORT DATA QUALITY MANAGEMENT
PEOPLE ARE THE SOLUTION
BEHAVIOURS AND CULTURE
THE EMPLOYEE DATA AGREEMENT
STRATEGIES FOR CHANGING DATA BEHAVIOURS
ORGANISATIONAL INFLUENCES ON BEHAVIOURS
SUMMARY
CONCLUSIONS
BIBLIOGRAPHY
INDEX
Back Cover