Knowledge Processes | K-Analytics | Benefits |
---|---|---|
Capturing/Creating Knowledge | â–¡ Search query/search logs data analysis (text mining & clustering) | â–¡ Identification of knowledge needs and services requirements |
â–¡ What has been created? for which audience? | â–¡ Mapping knowledge coverage: dashboarding of available knowledge (main domains & associated targets) | |
â–¡ Knowledge created vs. knowledge searched and retrieved | â–¡ Value delivered analysis (offer vs. demand bells) | |
Broadcasting/Sharing Knowledge | â–¡ Measuring entry and exit points on multiple channels | â–¡ Providing real-time knowledge delivery through relevant channels |
□ Click-through rates & interactions | □ Assessing the accessibility of content and potential issues to be addressed (keywords, tagging, etc.…) | |
â–¡ Curating knowledge | ||
Reusing/ Refining Knowledge | â–¡ Search query data (text mining analytics) | â–¡ Discovery of consumption patterns & interaction with content |
â–¡ Interestingness/ Consumed contents trends visualization (demand focus) | â–¡ Predicting future knowledge to be created | |
□ Indicators of quality of the results (ratings, numbers of sharing, recommendations, etc.…) | □ Identifying and solving potential issues with the knowledge offer (duplicates, overlaps, gaps, etc.…) | |
â–¡ Enrichment or modification requests | â–¡ Identify axis to improve authoring guidelines and review processes |