Driving Innovation

Data and information are not knowledge. But, they are important to incorporate into a set of collective structures, which form the basis of knowledge. The first order of priority is to ensure the foundation of (what we refer to as) knowledge is built on trust (data integrity, data security) and relationships that align and form recognizable patterns that frame knowledge.  

The more difficult (secondary priority) is to address how knowledge is understood and consumed by individual stakeholders. The idea of capturing perspective for individuals (performing in one or more roles) is a significant challenge for organizations trying to create meaningful (and actionable) insights.

This is where semantics are playing an increasingly important role and is paving the way for new tools and approaches to extend existing knowledge repositories in companies.

 

We help organizations develop these models and/or extend existing models (already in place) to support the following:

 

• Design solutions that leverage more current technologies to assure trust and integrity of data, structures, semantics, and relationships

• Capture and catalogue knowledge (tacit and explicit) with minimal overhead and impact to existing operations

• Build knowledge maps around individual domains (business units & capabilities) 

• Capture relationships between knowledge maps to form a larger (loosely coupled) continuum of knowledge across the organization

• Build contextualization around knowledge to support multiple perspectives, which provides meaning to stakeholders

• Reduce risk knowledge attrition when tribal knowledge is lost due to changes in personnel