Knowledge & Data Management
Evaluates how effectively your organization captures, stores, and utilizes information.
Key Areas
- Knowledge Base: Capturing and sharing organizational knowledge
- Data Governance: Establishing data policies and standards
- Information Architecture: Structuring data for accessibility
- Data Quality: Ensuring accuracy and reliability of information
- Knowledge Sharing: Promoting collaboration and information exchange
Maturity Journey
Developing (2.0–2.9)
Basic knowledge repositories with some documentation and reactive data management.
Established (3.0–3.9)
Defined knowledge framework with consistent data governance and regular reviews.
Managed (4.0–4.4)
Measured knowledge performance with proactive data quality management and integration.