- Figures
- Tables
- Foreword
- Preface
- Acknowledgements
- 1 Introduction
- 1.1 Data: An Enterprise Asset
- 1.2 Data, Information, Knowledge
- 1.3 The Data Lifecycle
- 1.4 The Data Management Function
- 1.5 A Shared Responsibility
- 1.6 A Broad Scope
- 1.7 An Emerging Profession
- 1.8 A Growing Body of Knowledge
- 1.9 DAMA–The Data Management Association
- 1.10 Purpose of the DAMA-DMBOK Guide
- 1.11 Goals of the DAMA-DMBOK Guide
- 1.12 Audiences of the DAMA-DMBOK Guide
- 1.13 Using the DAMA-DMBOK Guide
- 1.14 Other BOK Guides
- 1.15 The DAMA Dictionary of Data Management
- 1.16 The DAMA-DMBOK Functional Framework
- 1.17 Structure of the DAMA-DMBOK Guide
- 1.18 Recurring Themes
- 2 Data Management Overview
- 3 Data Governance
- 3.1 Introduction
- 3.2 Concepts and Activities
- 3.3 Data Governance Activities
- 3.3.1 Data Strategy
- 3.3.2 Data Policies
- 3.3.3 Data Architecture
- 3.3.4 Data Standards and Procedures
- 3.3.5 Regulatory Compliance
- 3.3.6 Issue Management
- 3.3.7 Data Management Projects
- 3.3.8 Data Management Services
- 3.3.9 Data Asset Valuation
- 3.3.10 Communication and Promotion
- 3.3.11 Related Governance Frameworks
- 3.4 Summary
- 3.5 Recommended Reading
- 4 Data Architecture Management
- 5 Data Development
- 6 Data Operations Management
- 7 Data Security Management
- 7.1 Introduction
- 7.2 Concepts and Activities
- 7.2.1 Understand Data Security Needs and Regulatory Requirements
- 7.2.2 Define Data Security Policy
- 7.2.3 Define Data Security Standards
- 7.2.4 Define Data Security Controls and Procedures
- 7.2.5 Manage Users, Passwords, and Group Membership
- 7.2.6 Manage Data Access Views and Permissions
- 7.2.7 Monitor User Authentication and Access Behavior
- 7.2.8 Classify Information Confidentially
- 7.2.9 Audit Data Security
- 7.3 Data Security in an Outsourced World
- 7.4 Summary
- 7.5 Recommended Reading
- 8 Reference and Master Data Management
- 8.1 Introduction
- 8.2 Concepts and Activities
- 8.2.1 Reference Data
- 8.2.2 Master Data
- 8.2.3 Understand Reference and Master Data Integration Needs
- 8.2.4 Identify Reference and Master Data Sources and Contributors
- 8.2.5 Define and Maintain the Data integration Architecture
- 8.2.6 Implement Reference and Master Data Management Solutions
- 8.2.7 Define and Maintain Match Rules
- 8.2.8 Establish Golden Records
- 8.2.9 Define and Maintain Hierarchies and Affiliations
- 8.2.10 Plan and Implement Integration of New Data Sources
- 8.2.11 Replicate and Distribute Reference and Master Data
- 8.2.12 Manage Changes to Reference and Master Data
- 8.3 Summary
- 8.4 Recommended Reading
- 9 Data Warehousing and Business Intelligence Management
- 9.1 Introduction
- 9.2 Concepts and Activities
- 9.3 DW-BIM Activities
- 9.3.1 Understand Business Intelligence Information Needs
- 9.3.2 Define and Maintain the DW-BI Architecture
- 9.3.3 Implement Data Warehouses and Data Marts
- 9.3.4 Implement Business Intelligence Tools and User Interfaces
- 9.3.5 Process Data for Business Intelligence
- 9.3.6 Monitor and Tune Data Warehousing Processes
- 9.3.7 Monitor and Tune BI Activity and Performance
- 9.4 Summary
- 9.5 Recommended Reading
- 10 Document and Content Management
- 11 Meta-data Management
- 12 Data Quality Management
- 12.1 Introduction
- 12.2 Concepts and Activities
- 12.2.1 Data Quality Management Approach
- 12.2.2 Develop and Promote Data Quality Awareness
- 12.2.3 Define Data Quality Requirements
- 12.2.4 Profile, Analyze and Assess Data Quality
- 12.2.5 Define Data Quality Metrics
- 12.2.6 Define Data Quality Business Rules
- 12.2.7 Test and Validate Data Quality Requirements
- 12.2.8 Set and Evaluate Data Quality Service Levels
- 12.2.9 Continuously Measure and Monitor Data Quality
- 12.2.10 Manage Data Quality Issues
- 12.2.11 Clean and Correct Data Quality Defects
- 12.2.12 Design and Implement Operational DQM Procedures
- 12.2.13 Monitor Operational DQM Procedures and Performance
- 12.3 Data Quality Tools
- 12.4 Summary
- 12.5 Recommended Reading
- 13 Professional Development
- Afterword
- A1 Data Management Suppliers
- A2 Data Management Inputs
- A3 Data Management Participants
- A4 Data Management Tools
- A5 Data Management Primary Deliverables
- A6 Data Management Consumers
- A7 Data Management Metrics
- A8 Software Product Classes
- A9 Summary Process Tables
- A9.1 Data Governance
- A9.2 Data Architecture Management
- A9.3 Data Development
- A9.4 Data Operations Management
- A9.5 Data Security Management
- A9.6 Reference and Master Data Management
- A9.7 Data Warehouse and Business Intelligence Management
- A9.8 Document and Content Management
- A9.9 Meta-data Management
- A9.10 Data Quality Management
- A10 Standards
- Bibliography
- Index
-
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