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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