Читать книгу Corporate Data Quality - Hubert Osterle - Страница 5
Table of Contents
Оглавление1 Data Quality – A Management Task.. 1
1.1 Trends in Digitization.. 3
1.1.1 Penetration into Every Area of Life and Economy. 3
1.1.4 Digital Business Models. 10
1.2.1 A 360-degree View of the Customers. 12
1.2.2 Corporate Mergers and Acquisitions. 13
1.2.5 Operational Excellence. 16
1.2.6 Data Protection and Privacy. 17
1.3 Challenges and Requirements of Data Quality Management. 18
1.3.1 Challenges in Handling Data. 18
1.3.2 Requirements on Data Quality Management. 21
1.4 The Framework for Corporate Data Quality Management. 23
1.4.1 An Overview of the Framework. 23
1.4.4 Information System Level 27
1.5 Definition of Terms and Foundations. 28
1.5.1 Data and Information.. 29
1.5.4 Data Quality Management (DQM). 34
1.6 The Competence Center Corporate Data Quality. 38
2 Case Studies of Data Quality Management. 42
2.1 Allianz: Data Governance and Data Quality Management in the Insurance Sector 44
2.1.1 Overview of the Company. 44
2.1.2 Initial Situation and Rationale for Action.. 45
2.1.3 The Solvency II Project. 46
2.1.4 Data Quality Management at AGCS. 46
2.1.6 Additional Reference Material 52
2.2 Bayer CropScience: Controlling Data Quality in the Agro-chemical Industry 53
2.2.1 Overview of the Company. 53
2.2.2 Initial Situation and Rationale for Action.. 54
2.2.3 Development of the Company-wide Data Quality Management 57
2.2.5 Additional Reference Material 65
2.3 Beiersdorf: Product Data Quality in the Consumer Goods Supply Chain 65
2.3.1 Overview of the Company. 65
2.3.2 Initial Situation of Data Management and Rationale for Action 67
2.3.3 The Data Quality Measurement Project. 71
2.3.5 Additional Reference Material 78
2.4 Bosch: Management of Data Architecture in a Diversified Technology Company 79
2.4.1 Overview of the Company. 79
2.4.2 Initial Situation and Rationale for Action.. 80
2.4.3 Data Architecture Patterns at Bosch.. 82
2.4.5 Additional Reference Material 87
2.5 Festo: Company-wide Product Data Management in the Automation Industry 88
2.5.1 Overview of the Company. 88
2.5.2 Initial Situation and Rationale for Action regarding the Management of Product Data 90
2.5.3 Product Data Management Projects between 1990 and 2009 96
2.5.4 Current Activities and Prospects. 101
2.5.6 Additional Reference Material 103
2.6 Hilti: Universal Management of Customer Data in the Tool and Fastener Industry 104
2.6.1 Overview 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
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
