DCAM Curriculum
DCAM (Data Management Capability Assessment Model) v3
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The EDM Association’s Data Management Capability
Assessment Model (DCAM®) is the globally recognized standard for data
management best practices, designed to increase the value of an organization’s
data assets and drive better business outcomes. The DCAM framework and training
curriculum are structured in 8 key components with 34 capabilities and 101
sub-capabilities.
The DCAM Certification Program includes a comprehensive training
course covering the topics in the Data Management Capability Assessment Model
as well as a professional certification.
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Data Strategy, Data Management Strategy & Business Case
Defines how data and data management capabilities are linked
to top level business objectives and embedded into the operations of the
organization. It articulates the long-term value and vision for data, the data
management capabilities, and identifies the stakeholders that must be aligned
to achieve the organization’s business objectives with data.
Data Management Program & Funding
Establishes the Data Management Organization and related Data Management Program. The organizational structures include resource requirements and a full range of Program management Office activities such as execution of program management, stakeholder management, funding management, change activities, communications, and performance measurement. It defines and describes the methodologies used to measure both the costs and the organization-wide benefits derived from the Data Management initiative.
Architecture - Business, Data & Technology
Focuses on establishing integrated architecture as a foundation for best practice data management. Ensuring collaboration among business, data, and technology architectures is essential for achieving business objectives.
Business Data Knowledge
Addresses methods and practices for building and continuously maintaining an organization’s data awareness and shared understanding of its data. The desired result is a unique data ecosystem supporting a positive data culture embraced by the organization’s employees, each with a clear understanding of their own and others’ responsibility for data.
Data Quality Management
Encompasses a set of capabilities to implement data profiling, business-driven quality evaluation, quality control rule development, monitoring, defect management, root cause analysis, and data issue remediation. These capabilities allow the organization to execute data quality processes across the data development life cycle to ensure and control that data is fit for its intended purpose.
Governance - Data & Metadata Management Program
The capabilities of this component codify the structure, lines of authority, roles and responsibilities, escalation protocol, policy and standards, compliance, and routines for managing and facilitating processes across Data Management functions. This ensures authoritative decision-making at all levels of the organization.
Data Management operations, Risk & Control
Establishes a data management environment to oversee and control an organization’s data assets. It incorporates consistent data development life cycle practices, data risk and controls management, and necessitates organizational collaboration, accountability, and alignment with strategic objectives.
Analytics Management
Analytics Management is an integral part of data
management. It is a set of capabilities required to structure and manage
the Analytics activities of an organization. The capabilities
align Analytics Management with Data Management in support
of business and functional priorities. They address the culture, skills,
platform, and governance required to enable the organization to obtain business
value from analytics.
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