Table of Contents. Testimonials from the MDM Alliance Group... Introduction to MDM...

Transcription

1 Testimonials from the MDM Alliance Group... Foreword... xiii xxv Preface... xxix Acknowledgements... xxxix Introduction to MDM... xli PART ONE: THE MDM APPROACH... 1 Chapter 1. A Company and its Data The importance of data and rules repositories Back to basics Past differences The rich data model Reference/Master data definition Data initialized before use by transactional systems Duplicate data Data exchanged with third parties Searching for data quality Data quality The quality of data models The level of maturity of data quality Different types of data repositories... 27

2 vi Enterprise Data Governance Technical classification Customer Data Integration (CDI) Product Information Management (PIM) and Product Life Management (PLM) Lightweight Directory Access Protocol (LDAP).. 35 Chapter 2. Strategic Aspects Corporate governance Forced against the wall by regulations The new scorecard The transformation stages of an IT system First stage: the data repository Second stage: the business rules repository is added to the data repository Third Stage: adding the business processes repository Sustainable IT Architecture The new management control Maintaining knowledge and the strategic break Chapter 3. Taking Software Packages into Account The dead end of locked repositories Criteria for choosing software packages Availability of the data model Repository updates Neutralization of a locked MDM Impact for software vendors MDM is also a software package Chapter 4. Return on Investment Financial gain from improved data quality The financial gain of data reliability The financial gain of mastering operational risks An all too often inefficient control system MDM for the control of operational risks The financial gain of IS transformation The overlap of an Information System and IT Financial valuation of an Information System.. 79

3 vii The MDM as a springboard for transformation of IS Summary of the return on investment of MDM PART TWO: MDM FROM A BUSINESS PERSPECTIVE Chapter 5. MDM Maturity Levels and Model-driven MDM Virtual MDM Static MDM Semantic MDM Improved administration by business users A greater reliability in the data repository Preparation for MDM integration with the rest of a system The MDM maturity model A Model-driven MDM system Variants Hiding join tables Chapter 6. Data Governance Functions Brief overview Ergonomics Version management The initialization and update of data by use context The affiliation of contexts The automatic detection of shared data Time management Data history tracking Business transaction Validity period Data validation rules Facets Integrity constraints Business rules The data approval process Access rights management Data hierarchy management Conclusion

4 viii Enterprise Data Governance Chapter 7. Organizational Aspects Organization for semantic modeling The foundations of the organization Data owners The Enterprise Data Office Does this organization involve risks? The definition of roles Data owner Data analyst Data architect Data cost accountant Data steward Synthesis of the organization required to support the MDM PART THREE: MDM FROM THE IT DEPARTMENT PERSPECTIVE Chapter 8. The Semantic Modeling Framework Establishing the framework of the method The objectives of semantic modeling The lifecycle of semantic modeling Choosing the method The Praxeme method Choosing another method The components of Enterprise Data Architecture The business object The data category Business object domains Data repository architecture The drawbacks of semantic modeling The lack of return on investment Lack of competency The blank page effect Ready-to-use semantic models Software packages Industry specific models Generic data models

5 ix Chapter 9. Semantic Modeling Procedures A practical case of semantic modeling: the address Non-compliant version of semantic modeling First draft of semantic modeling Modeling of the lifecycle of the address Complete semantic modeling of the address Example of Enterprise Data Architecture Semantic modeling procedures Extended business operation Elementary business operation Single-occurrence and multi-occurrence business operations Fostering the upgradeability of data models Other principles Chapter 10. Logical Data Modeling The objectives of logical modeling The components of logical data modeling The principle of loose-coupling data The data architecture within categories Derivation procedures Derivation of the semantic classes Examples of derivation of semantic classes Derivation of elementary business operations Derivation of extended business operations Derivation of inheritance Identifier management Calculated information Other logical modeling procedures Enumeration data type User message User interface components Data documentation Naming rules Chapter 11. Organization Modeling The components of pragmatic modeling Data approval processes Process example

6 x Enterprise Data Governance Synchronization of use cases with processes The other processes Use cases Documentation of use cases Elementary use case Extended use case Administrative objects The derivation of pragmatic models to logical models Use cases Data approval process Administrative object Transaction Chapter 12. Technical Integration of an MDM system Integration models Weak coupling Tight coupling Loose coupling Consequences of integration models Semantic integration Data synchronization Business event Organizational event Applicative event Integration with the BRMS Classification of databases and software development types Conclusion Appendix. Semantic Modeling of Address A.1. The semantic model A.2. Examples of screens generated by Model-driven MDM A.2.1. Postal Code Patterns A.2.2. Automatic calculation of postal code A.2.3. Address input A.3. Semantic modeling and data quality

7 xi A.4. Performance A.5. Lifecycle of the Address business object A.6. Insight into the XML schema Bibliography Index