CDMP Fundamentals • 100 Questions • 90 Minutes
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GovHealth's Data Management Maturity Advancement

Data Management Process Hard

💼 Scenario

GovHealth is a national health department responsible for managing health data for 50 million citizens. A government mandate requires all agencies to achieve Data Management Maturity Level 3 (Defined) within two years. GovHealth's current assessment places it at Level 1 (Initial) across most knowledge areas, with Level 2 (Managed) in Data Security only. Challenges include: health data is spread across 25 legacy systems with no integration, data definitions vary between programs (the same disease code can map to different conditions in different systems), there is no data lifecycle management (data is created and stored indefinitely with no archival or purging), staff have no formal data management training, and the organization relies entirely on tribal knowledge with no documented processes. The Director has a budget of $20 million and must demonstrate progression from Level 1 to Level 3 across all DAMA knowledge areas within the mandate period. The advancement must not disrupt the delivery of health services that depend on the existing 25 legacy systems.

Question 1: What is the key characteristic that distinguishes Level 3 (Defined) from Level 2 (Managed) in a data management maturity model?

Question 2: Given GovHealth's reliance on tribal knowledge with no documented processes, which organizational change management approach is MOST critical?

Question 3: How should GovHealth sequence the maturity advancement across the 11 DAMA knowledge areas given the two-year timeline?