DCAM covers the unique requirements associated with the management of meaning (data architecture, identification management, taxonomies, glossary development), the challenges of ensuring fit-for-purpose quality (business rule, data dimensions, control processes, supply chain management) and the art of working in the midst of continuously evolving organizational priorities.Using an interactive format, the Data Management Capability Assessment Model (DCAM) was created for the real world and is structured in a way that delivers measurable business value and covers all capabilities and processes needed for sustainable data management.

This instructor-led, live, interactive virtual course (delivered over two 6 hour sessions) provides a comprehensive perspective on capabilities needed to develop and implement a practical data management function. DCAM is the global best practices standard for data management, used by 62% of financial firms, including Tier 1 and Tier 2 banks along with regulators, and expanding into other verticals. The curriculum is organized into eight core components covering over 100 essential data management capabilities. The latest v2.2 DCAM Course includes new capabilities for provisioning of data to advanced analytics and AI/ML initiatives and includes data ethics. Completion of this training and passing the exam provides the student with advanced DCAM v2.2 Certification.