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viii Enterprise Data Governance

Chapter 7. Organizational Aspects ............... 133

7.1. Organization for semantic modeling ........... 133
7.1.1. The foundations of the organization ......... 135
7.1.2. Data owners ......................... 136
7.1.3. The Enterprise Data Office ............... 137
7.1.4. Does this organization involve risks? ........ 139
7.2. The definition of roles ..................... 146
7.2.1. Data owner .......................... 146
7.2.2. Data analyst ......................... 146
7.2.3. Data architect ........................ 147
7.2.4. Data cost accountant ................... 148
7.2.5. Data steward ........................ 148
7.3. Synthesis of the organization required to
support the MDM ........................... 148
PART THREE: MDM FROM THE IT
DEPARTMENT PERSPECTIVE ..................... 151

Chapter 8. The Semantic Modeling Framework ..... 153
8.1. Establishing the framework of the method ....... 153
8.1.1. The objectives of semantic modeling ......... 154
8.1.2. The lifecycle of semantic modeling .......... 157
8.2. Choosing the method ...................... 161
8.2.1. The Praxeme method ................... 161
8.2.2. Choosing another method ................ 170
8.3. The components of Enterprise Data Architecture ... 172
8.3.1. The business object .................... 173
8.3.2. The data category ..................... 175
8.3.3. Business object domains ................. 176
8.3.4. Data repository architecture .............. 176
8.4. The drawbacks of semantic modeling ........... 178
8.4.1. The lack of return on investment ........... 178
8.4.2. Lack of competency .................... 179
8.4.3. The blank page effect ................... 180
8.5. Ready-to-use semantic models ............... 180
8.5.1. Software packages ..................... 181
8.5.2. Industry specific models ................. 182
8.5.3. Generic data models .................... 183