Three Cs of KM Strategy: Collect, Connect, and Collaborate (Community Call)



  • Type:
  • Published:
  • September 23, 2016
  • Author:
  • Cindy Hubert
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  • Your Price: FREE

For APQC’s September 2016 KM Community Call, APQC Executive Director Cindy Hubert co-presented with members of the KM team at the U.S. Army Corps of Engineers (USACE) to describe the development of USACE’s robust KM program. The presenters explained how USACE leverages APQC’s Levels of Knowledge Management MaturitySM and KM Capabilities Assessment Tool to drive adoption of KM processes and approaches while engaging leaders, staff, and partners along the way. They also provided details on USACE’s practices for collecting and disseminating critical knowledge, connecting people to engage in meaningful knowledge transfer, and facilitating collaboration to support better and faster decisions.

View the slides from this presentation.

Comments (1)

The End of Theory: The Data

The End of Theory: The Data Deluge Makes the Scientific Method Obsolete was proposed 30+ years ago. ( The Petabyte digital content creation is now automatic all over the organization. Unlike the social-data and 'google', the structure (and semantic) of KNOWLEDGE in organization is entrapped in complex ways within the digital content. The digital content is both 'structured' (into databases) and 'unstructured' (in Word, Email, PowerPoint, PDF and JPEG). The 'Knowledge' is inherently deployed in all stages of Data (data life-cycle) --> Information (Analytics and rendering) --> Knowledge (Inference, Integration and Implementation) --> Wisdom. Organizational processes invariably work in all these 4 stages of digital content (Data--> Wisdom) and can benefit from a modern computational intelligence paradigm. This APQC presentation and strategy is largely 'conventional' like the Software requirement-design-development models of repute. This can only address 'Known' requirements, while the digital content constantly creates new knowledge. Methods of 4th Paradigm Science (Data Intensive Scientific Discovery - DISD) are one of the most powerful methods to build KM architecture. The Process and organizational approach needs this proposed framework and method for implementation. However, the digital data centric approach of DISD may become invaluable technology approach.

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