of the Company. 104
2.6.2 Initial Customer Data Management Situation and Rationale for Action 105
2.6.3 The Customer Data Quality Tool Project. 106
2.6.5 Additional Reference Material 114
2.7.1 Overview of the Company. 114
2.7.3 Introduction of Data Governance. 116
2.7.6 Additional Reference Material 124
2.8.1 Overview of the Company. 125
2.8.2 Initial Data Management Situation and Business Intelligence 2004 – 2011 126
2.8.3 Master Data Management at Lanxess since 2011. 126
2.8.4 Structure of the Strategic Reporting System since 2012. 129
2.8.6 Additional Reference Material 135
2.9 Shell: Data Quality in the Product Lifecycle in the Mineral Oil Industry 135
2.9.1 Overview of the Company. 135
2.9.2 Initial Situation and Rationale for Action.. 136
2.9.3 Universal Management of Data in Product Lifecycle. 137
2.9.4 Challenges during Implementation.. 137
2.9.5 Using the New Solution.. 138
2.9.7 Additional Reference Material 139
2.10 Syngenta: Outsourcing Data Management Tasks in the Crop Protection Industry 140
2.10.1 Overview of the Company. 140
2.10.2 Initial Situation and Goals of the Master Data Management Initiative 141
2.10.3 The Transformation Project and the MDM Design Principles 143
2.10.4 Master Data Management Organizational Structure. 145
2.10.5 The Data Maintenance Process and Decision-making Criteria for the Outsourcing Initiative. 149
2.10.7 Additional Reference Material 153
3 Methods and Tools for Data Quality Management. 155
3.1 Method for DQM Strategy Development and Implementation 155
3.1.1 Structure of the Method. 156
3.1.2 Examples of the Techniques used by the Method. 157
3.2 Maturity Assessment and Benchmarking Platform for Data Quality Management 163
3.2.2 Maturity Model and Benchmarking as Control Instruments 164
3.2.3 The EFQM Model of Excellence for the Management of Master Data Quality 166
3.2.4 Corporate Data Excellence: Control Tools for Managers of Data Quality 167
