About DCAM
The EDM Council’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. DCAM provides a foundational roadmap to initiate, build, measure, and sustain a data management program and culture, enabling organizations to elevate the strategic impact of their data practices and foster greater trust and confidence in their data.
The DCAM framework is structured around 8 key components with 34 capabilities and 101 sub-capabilities. It comprehensively addresses the unique requirements of data management, including:
- Data meaning and architecture: taxonomy development, identification management, glossary creation
- Data quality: business rules, data dimensions, control processes, and supply chain management
- Organizational adaptability: supporting continuous evolution amid shifting priorities
- Modern data challenges and digital transformation: enhanced support for AI, cloud, complex ecosystems, governance, data ethics, privacy, and security.
The DCAM Framework v3 Course
This instructor-led, live, interactive virtual course—delivered over two 7-hour sessions—provides a comprehensive, practical overview of the capabilities needed to develop and implement an effective data management and advanced analytics function.
The course curriculum is structured around DCAM’s eight core components, covering over 100 essential data management capabilities, including new elements introduced in DCAM v3.1:
- Data education, communications, change management, and enablement
- Enhanced business glossary and metadata management capabilities
DCAM’s 8 Core Components:
- Data Strategy, DMS & Business Case
- Data Management Program & Funding
- Architecture – Business, Data & Technology
- Business Data Knowledge
- Data Quality Management
- Govern Data & DMP
- Data Management Operations, Risk & Control
- Analytics Management
What You Will Learn:
- Key data management capabilities, best practices, and practical implementation
- DCAM’s eight core components, capabilities, and sub-capabilities
- Real-world use cases and peer insights for actionable application
- The role of data management in enabling AI and driving business alignment
- A roadmap to advance data maturity, governance, compliance, and innovation
- How to build and sustain a data-driven culture across the organization
