The Data Management Program is an organizational function dedicated to the management of data as an asset throughout an organization.
DCAM Framework – 3.0 Business & Data Architecture
The path to integrated architecture across the organization begins with business architecture and how it defines requirements for data architecture.
DCAM Framework – 4.0 Data & Technology Architecture
The requirements for data as well as for data management (DM), are interpreted through data architecture. This interpretation defines the requirements to design the physical data consumed, produced and provisioned by the business process.
DCAM Framework – 5.0 Data Quality Management
The Data Quality Management function defines the goals, approaches and plans of action that ensure data content is of sufficient quality to support defined business and strategic objectives of the organization.
DCAM Framework – 6.0 Data Governance
Data governance function is the backbone of a successful data management (DM) initiative. Data governance is the process of setting standards, defining rules, establishing policy and implementing oversight.
DCAM Framework – 7.0 Data Control Environment
The Data Control Environment refers to the state of operation in which the data assets of an organization are holistically managed throughout the organization.
Data Management Program & Funding Model forums
Data Quality Dimensions
Click on the image to enlarge. The EDM Council standard approved Data Quality Dimensions are listed below: Accuracy Completeness Conformity Consistency Coverage Timeliness Uniqueness Revision History
Data Management Accountability Matrix
The Data Management Accountability Matrix is a construct for identifying the stakeholder types across the data ecosystem and the high-level roles and the relationships between the stakeholder types. Construct – a generic representation of a concept unencumbered by unique characteristics of an industry or organization. The construct is used by an organization to inform the […]
Standing Up Data Governance
Best Practice Scribes Mark McQueen, EDM Council, Senior Advisor-DCAM Although this may differ from organization to organization, there are generally four steps that are needed to establish an effective data governance initiative. Establish the Governance Structure The governance structure objective is to identify and organize the critical stakeholders and link them to the necessary data managemen...