1.2 The DMBoK Framework
Key Takeaways
- Data Governance sits at the center of the DAMA Wheel, acting as the coordinating hub for the other 10 technical disciplines.
- The DAMA Environmental Factors Hexagon consists of Goals & Principles, Activities, Deliverables, Roles & Responsibilities, Practices & Techniques, and Technology (Tools).
- DAMA Context Diagrams define the inputs, activities, deliverables, controls, supporters, consumers, and metrics for each Knowledge Area.
- Activities in the DAMA framework are categorized into Plan, Develop, Control, and Operate phases.
1.2 The DMBoK Framework
The DAMA-DMBOK2 framework provides a comprehensive, structured approach to data management. Rather than viewing data management as a purely technical IT discipline, the framework approaches it as a business capability that spans the entire organization. To standardize this capability, the DMBOK2 uses two primary visual models: the DMBoK Wheel and the Environmental Factors Hexagon (which forms the core of the Context Diagram for each Knowledge Area).
The DMBoK Wheel
The DMBoK Wheel is the most recognizable diagram in the DAMA framework. It defines the 11 core Knowledge Areas of data management and visualizes their relationship.
+-----------------------------------+
| DATA ARCHITECTURE |
+-----------------------------------+
|
+-----------------------------------+
| DATA MODELING & DESIGN |
+-----------------------------------+
|
+-----------------------------------+
| DATA STORAGE & OPERATIONS |
+-----------------------------------+
|
+-----------------------------------+
| DATA SECURITY |
+-----------------------------------+
|
+-----------------------------------+
| DATA INTEGRATION & INTEROPER. |
+-----------------------------------+
|
+-------------------------------------------------------+
| DATA GOVERNANCE |
| (Center Hub / Control) |
+-------------------------------------------------------+
|
+-----------------------------------+
| DOCUMENT & CONTENT MANAG. |
+-----------------------------------+
|
+-----------------------------------+
| REFERENCE & MASTER DATA |
+-----------------------------------+
|
+-----------------------------------+
| DATA WAREHOUSING & BI |
+-----------------------------------+
|
+-----------------------------------+
| METADATA |
+-----------------------------------+
|
+-----------------------------------+
| DATA QUALITY |
+-----------------------------------+
Why Governance is the Hub
At the center of the DMBoK Wheel sits Data Governance. Data Governance is not a peripheral activity; it is the hub that drives, governs, and coordinates the other 10 technical disciplines (the "spokes" of the wheel). Without central governance to establish policies, standards, and strategic direction, the technical disciplines operate in silos, leading to inconsistent data quality, redundant storage, and security vulnerabilities.
The 11 Knowledge Areas Defined
For the CDMP exam, you must know the exact DAMA definitions for each of the 11 Knowledge Areas:
- Data Governance: Planning, oversight, and control over the management and use of data.
- Data Architecture: Defining the blueprint for managing data assets, aligning data strategy with business strategy.
- Data Modeling and Design: Discovering, analyzing, representing, and communicating data requirements in precise models.
- Data Storage and Operations: Deploying, administering, and recovery of databases and physical storage systems.
- Data Security: Ensuring data privacy, confidentiality, and preventing unauthorized access or data breaches.
- Data Integration and Interoperability: Consolidating, moving, and transforming data across applications, systems, and platforms.
- Document and Content Management: Managing unstructured data, including files, documents, records, and media.
- Reference and Master Data: Managing shared core enterprise entities (e.g., customer, product, location) and standardizing code lists.
- Data Warehousing and Business Intelligence: Storing, processing, and providing analytical access to history data for decision-making.
- Metadata Management: Collecting, integrating, and providing access to descriptions of data assets (data about data).
- Data Quality: Measuring, monitoring, and improving the trustworthiness, completeness, and accuracy of data.
Exam Tip: Keep in mind that while the Wheel depicts 11 core Knowledge Areas, the CDMP exam syllabus includes additional chapters from the DMBOK2, such as Data Ethics, Big Data & Data Science, and Data Management Maturity Assessment (DMMA), bringing the total number of tested domains to 14/15.
The Environmental Factors Hexagon
While the DMBoK Wheel shows what areas must be managed, the Environmental Factors Hexagon explains how each Knowledge Area is structured and operationalized. DAMA recognizes that successful data management requires aligning people, processes, and technologies.
[Goals & Principles]
/ \\
[Activities] / \\ [Deliverables]
| K.A. |
[Roles & | | [Practices &
Responsibilities] \\ / Techniques]
\\ /
[Technology / Tools]
The six environmental factors form a hexagon surrounding each Knowledge Area in the DMBOK2 Context Diagrams:
- Goals and Principles: The strategic drivers and guiding beliefs of the Knowledge Area. These answer why we manage this data asset and what principles (e.g., data quality, security by design) govern our actions.
- Activities: The actions and processes required to meet the goals. DAMA categorizes these activities into four distinct phases:
- Plan: Establishing strategy, policies, and designs.
- Develop: Building, coding, and implementing systems.
- Control: Monitoring, auditing, and enforcing standards.
- Operate: Day-to-day administration, data loading, and operations.
- Deliverables: The tangible outputs, assets, or artifacts created by the activities. Examples include data models, data lineage maps, quality scorecards, or access logs.
- Roles and Responsibilities: The human organizational component. This defines who performs the work, who is accountable, and who must be consulted or informed (typically mapped via a RACI matrix).
- Practices and Techniques: The common methodologies, workflows, standards, and procedural steps used to perform the activities.
- Technology (Tools): The software, hardware, and infrastructure platforms that enable and automate the activities (e.g., metadata repositories, modeling software, ETL tools).
- Organization and Culture: The management systems, change management strategies, and internal culture that influence how individuals treat data as an asset.
Reading a DAMA Context Diagram
For every Knowledge Area chapter, the DMBOK2 provides a standard Context Diagram. You must understand how to read these diagrams, as they map the inputs and outputs of the environmental factors:
- Inputs: The physical or digital assets (like raw data, business requirements, or source documents) needed to start the activities.
- Supporters and Drivers: The roles that actively perform or fund the work.
- Controls: The laws, regulations, and policies that restrict or govern the activities (e.g., GDPR, CCPA, corporate data security policies).
- Metrics: Quantitative indicators used to measure the quality, efficiency, and success of the activities.
- Consumers: The end-users or systems that utilize the deliverables produced by the Knowledge Area.
In the DAMA-DMBOK2 Wheel diagram, why is Data Governance positioned as the central hub of the wheel?
Which component of the DAMA Environmental Factors Hexagon represents the specific methodologies, workflows, and procedures used to execute the tasks within a Knowledge Area?