DCAM Curriculum

The DCAM curriculum is a structured comprehensive list of topics comprising the Data Management Capability Assessment model from the EDM Council. DCAM (the Data Management Capability Assessment Model) was developed as the cross-industry standard best practice for data management and analytics. The DCAM Certification Program includes a comprehensive set of online courses and education packages covering all topics in the Data Management Capability Assessment Model as well was professional certification.

Data Strategy and Business Case

• Data Management Strategy
• Data Management Business Case
• Data Management Vision

• Establishing a Data Management Program
• Funding a Data Management Program
• Creating a Data Management Organization
• Data Management Road Mapping
• Ensuring Process Excellence in Data Management Practices
• Engaging Stakeholders in the Data Management Program
• Designing and Operating Communications and Training Programs
• Measuring and Evaluating the Data Management Program

Business & Data Architecture

• Creating a Data Architecture Function
• Integrating Business and Data Architectures
• Identifying and Defining Data

Data & Technology Architecture

• Integrating Data and Technology Architectures
• Managing the Data Management Technology Stack
• Operational Risk Planning

Data Quality Management

• Creating a Data Quality Management Function
• Data Profiling and Measurement
• Remediating Data Quality Issues
• Measuring and Monitoring Data Quality

Data Governance

• Creating a Data Governance Function
• Managing Data Governance Policies and Standards
• Governing the Data Management Program
• Governing Data Domains and Data Structures
• Governing Data Access & Use Governing Data Ethics

Data Control Environment

• Demonstrating and Operating a Data Control Environment
• Collaborating for Cross-Organizational Data Control and Management
• Managing Data Risk

Analytics Management

• Creating an Analytics Management Function
• Aligning Analytics with Business and Data Management Strategies
• Aligning Analytics with Data Architecture
• Aligning Analytics with Data Quality Management
• Designing and Operating the Analytics Platform
• Operationalizing Analytics Models
• Managing Analytics Culture & Education