Managing Data Quality. Tim King

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

      CONTENTS

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      Part III: IMPLEMENTING DATA QUALITY MANAGEMENT97

      10. PREPARING THE ORGANISATION FOR DATA QUALITY MANAGEMENT99

       What does a data-enabled organisation look like? 99

       Improvement opportunities in typical organisations101

       The data quality management journey104

       The case for change105

       The changing organisation108

       The role of the chief data officer109

       Preparing the organisation110

       Summary111

      11. IMPLEMENTING DATA QUALITY MANAGEMENT112

       Overall approach to data quality management implementation112

       Senior-level sponsorship113

       Understand the context114

       Identify synergies115

       Choose an implementation approach116

       Agree the ‘footprint’116

       Change management117

       Ethical use of data119

       Dealing with challenges and issues119

       De-risk existing projects120

       Securing budget and resources121

       Starting implementation122

       Summary123

      12. THE HUMAN FACTOR – ENSURING PEOPLE SUPPORT DATA QUALITY MANAGEMENT124

       People are the solution124

       Behaviours and culture125

       The employee data agreement126

       Strategies for changing data behaviours127

       Organisational influences on behaviours129

       Summary131

       Conclusions132

       Bibliography134

       Index136

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      Figure 1.1 The components of a business activity5

      Figure 1.2 A typical life cycle for general data8

      Figure 1.3 A typical life cycle for documents10

      Figure 2.1 The virtuous circle of data quality16

      Figure 2.2 The data triangle19

      Figure 3.1 Overview of the Data Zoo29

      Figure 6.1 The ISO 8000-61 process model58

      Figure 7.1 Capability Level 1 of data quality management61

      Figure 7.2 Capability Level 2 of data quality management63

      Figure 7.3 Capability Level 3 of data quality management65

      Figure 7.4 Capability Level 4 of data quality management66

      Figure 7.5 Capability Level 5 of data quality management67

      Figure 7.6 Overall capability model for data