DAMA-DMBOK® 2.0 Revision:

Your Essential Guide to Data Management. Summary of Changes

Main changes

Replace the Activities Categories with Activities Phases and reorder from Plan, Control, Development and Operations (PCDO) to Plan, Development, Control, and Operational (PDCO)
Figure 10

Main changes

Terminology standardization:
- Data Governance with capital initials, all the «DG» replaced with full name
- Data asset/data as an asset / data as a corporate asset à standardized with “data as an asset”
- Data governance strategy / data strategy à standardized as “data strategy”
- Data / information /data and information à standardized as “data and information”
- Data governance program à replaced with data governance function (to indicate the team)
Improved consistency of definitions of:
- Data Owner: a business person, who is accountable for decisions about data within their domain.
- Bodies and committees
Rephrased paragraphs 4.1 Organization and Culture and 5 Metrics

Main changes

Chapter structure rationalization:
- Added Goals and Principles
- Enterprise Architecture Frameworks and Zachman Framework for Enterprise Architecture moved as Appendices
- Essential Concepts restructured as: Glossary, Enterprise Data Model, Data Landscape and Relationship to other Enterprise Architecture Domains
- Activites restructured as 6 main items, splitting Evaluate Existing Data Architecture Specifications in Document Existing + Maintain Target
- Tools and Techniques are switched
- Techniques section enriched and expanded
- Data Architecture Governance expanded and detailed as Data Architecture and other Knowledge Areas, including Governance, Data Modelling and Design, Data Integration and Interoperability, Metadata Management
Introduction rewritten including a more condensed explanation of Architecture in general. Added definition of Critical Data Element
Business drivers enriched including: definition of Data Architecture as a key planning function supporting business strategy and an outline of the characteristics of long-term success in Data Architecture
Goals and Principles added (missing in the current version)
Data Flow Design is replaced by the concept of Data Landscape
Glossary is added as an essential concept
Techniques section is more structured and detailed, including new sections Effective Metrics, Budget Constrained and Data Flow Diagrams, more examples and new figures.
Effective Metrics is a more detailed version of current 6.1 paragraph Metrics

Main changes

Chapter structure rationalization:
- Techinques and tools definitions are moved from section 1 to dedicated sections
- Tools section rationalized and set closer to practice
- Techniques section re-ordered in practical sequence
- Section 6 enriched as Data Quality and other Knowledge areas (not only governance)
- Other frameworks for Data Quality and Statistical process control moved to an Appendix
Introduction, Business Drivers, Goals and Principles enriched and rephrased
Added definition of Critical Data Element
.List of 9 standard Data Quality dimensions is provided as the one about wich there is a general agreement
Currency is added to the list of 8 standard dimension in the current DMBoK2 (Accuracy, Validity, Completeness, Integrity, Uniqueness/Deduplication, Timeliness, Reasonability, Consistency) and Reasonableness replaces Reasonability
Dimensions table is highly enriched with improved description and examples
Data Quality Improvement Lifecycle: The revised version just provides more clarity on who is responsible for which tasks.
Added a table mapping Shewhart and Deming cycle stages with Data Quality process
Common Causes of Data Quality issues paragraph simplified and enriched
Data Quality and Governance paragraph: deleted Data Quality Policy and Metrics
Added Data Quality and Modeling and Design, Metadata Management, Reference and Master Data Management, DII

Reviewed the 12 Context Diagrams, improving consistency between chapter contents and Context Diagram in respect of: