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
3.3.1 Challenges in Maintaining Business Partner Data. 170
3.3.2 The Cooperative Data Management Approach.. 171
3.3.3 The Corporate Data League. 172
3.4 Additional Methods and Tools from CC CDQ.. 176
4 Factors for Success and Immediate Measures. 178
4.1 Factors for the Success of Data Quality Management. 178
4.2 Immediate Measures on the Path to Successful Data Quality Management 179
About the Authors
Prof. em. Dr. Dr. h.c. Hubert Österle was professor for Business Engineering and director of the Institute of Information Management at the University of St. Gallen (IWI-HSG) from 1980 to 2014. In 1989, he founded the Information Management Group and served in the company’s management and supervisory boards. In 2006, he founded the Business Engineering Institute St. Gallen AG and is presiding over its supervisory board. He is also member of the supervisory board of the CDQ AG. His main research areas are life engineering, corporate data quality, business networking, business engineering, and independent living.
Prof. Dr. Boris Otto holds the Audi-Endowed Chair of Supply Net Order Management at the Technical University of Dortmund and is director for Information Management and Engineering at the Fraunhofer Institute for Material Flow and Logistics. The focal points of his research and teaching fields are business and logistic networks, corporate data management as well as enterprise systems and electronic business. Boris Otto studied Industrial Engineering in Hamburg and received his doctor’s degree under the supervision of Prof. Hans-Jörg Bullinger at the University of Stuttgart. He habilitated at the University of St. Gallen under the supervision of Prof. Hubert Österle. Further research appointments were at the Fraunhofer Institute for Industrial