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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
Data Management Program and Funding

  • 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