Managing Data Quality. Tim King

       List of figures and tablesviii

       Authorsix

       Acknowledgementsxi

       Abbreviationsxii

       Glossaryxiii

       Prefacexv

      PART I: THE CHALLENGE OF ENTERPRISE DATA1

      1. THE DATA ASSET3

       What are data?3

       What is data quality?11

       What is data quality management?14

       Summary14

      2. CHALLENGES WHEN EXPLOITING AND MANAGING DATA15

       The complex data landscape15

       Complex decisions16

       Virtuous circle or downward spiral?16

       Unclear data ownership 17

       Backups and data quality17

       Data quality and lack of transparency in business cases18

       The data triangle 19

       Data as a raw material 20

       The data machine: expectations vs reality 20

       Do your data trust you? 21

       The challenge of managing enterprise data quality23

       Summary24

      3. THE IMPACT OF PEOPLE ON DATA QUALITY25

       Comparisons between data quality and health and safety25

       People and data 26

       The Data Zoo 28

       How data behaviours interact 40

       Individuals as part of a team 40

       Teams within the organisation 41

       Data demotivators 42

       Summary43

      CONTENTS

      vi

      CONTENTS

      4. CASE STUDIES AND EXAMPLES44

       Real-world examples of the impacts of poor data 44

       Case study – Mars Climate Orbiter45

       Case study – Maintenance productivity targets degrading data quality 46

       Case study – Railtrack 47

       Case study – Statutory reporting 47

       Case study – Oversized trains 48

       Case study – Retail fail 48

       Case study – Inappropriate controls and haste degradeddata quality 49

       Summary49

      Part II: A FRAMEWORK FOR DATA QUALITY MANAGEMENT51

      5. THE PURPOSE AND SCOPE OF DATA QUALITY MANAGEMENT53

       The difference between data management and data quality management 53

       Key principles for data quality management 55

       Summary56

      6. THE ISO 8000-61 APPROACH57

       The scope of ISO 8000-6157

       The processes in ISO 8000-6157

       Summary60

      7. DATA QUALITY MANAGEMENT CAPABILITY LEVELS61

       Capability Level 161

       Capability Level 263

       Capability Level 364

       Capability Level 466

       Capability Level 567

       Overall capability model67

       Summary68

      8. ISO 8000-61 PROCESSES69

       Data processing69

       Provision of data specifications and work instructions71

       Data quality monitoring and control73

       Data quality planning74

       Data-related support77

       Resource provision83

       Data quality assurance85

       Data quality improvement89

       Summary93

      9. THE MATURITY JOURNEY94

       Planning the journey94

       Assessing maturity95

       Summary96