Know what you know (capture)
Find, capture and organize critical knowledge that's deeply embedded in people, documents, and data:
Knowledge loss risk analysis
Find out how vulnerable your organization is to critical knowledge "walking out the door."
Weigh the costs of "re-learning" lost knowledge, including recruiting, hiring and training replacements for key people, vs. proactively capturing and transferring that knowledge in a systematic way.
Knowledge surveys, knowledge mapping, taxonomy and ontology development
Knowledge workers can spend as much as one-third of their time looking for information, much of which is never found. Eliminate wasted time and effort from not knowing "who knows what," "who knows whom," and "who's doing what."
Make delays and missed opportunities a thing of the past by unclogging your knowledge pipeline so knowledge flows quickly and freely throughout your enterprise.
Deep knowledge capture
Capture expert knowledge that has taken decades of painful trial-and-error to learn but has never been fully documented.
Data analytics-based knowledge
Reduce the burdens placed on your experts by mining your organization's documents and data for valuable, hidden knowledge.
Grow what you know (share)
Make the transformation from a knowledge-hoarding culture to a vibrant enterprise where knowledge is collaboratively developed and shared:
Knowledge transfer mentoring (hot topic)
Turn knowledge loss into rapid learning and growth through a systematic approach to knowledge transfer mentoring, taking into account differences in age, demographics and learning styles.
User experience-centered knowledge-sharing platforms, communities and libraries
Make your IT platforms more collaborative and user-friendly, where lessons learned, best practices and other critical knowledge can be easily captured, shared and applied.
Deep learning-based corporate training and development
Make knowledge transfer more permanent by using scientifically proven deep learning methods based on guided self-discovery.
Knowledge-based data analytics
Successful data analytics
depends in large part on knowledge. The very best analysts know where to look, what to look for, how to look, etc. This forms a bottleneck and a serious knowledge risk.
Make your organization more effective by capturing, sharing, applying and growing the deep knowledge surrounding data analytics.
Make the most of what you know (apply)
Keep pace with and even stay ahead of the changes in your market by creating a culture of fast innovation and learning:
Knowledge management strategy
Enhance knowledge flows within and among organizational units by bringing all of your strategic initiatives into alignment.
People, process and technology alignment
One wrong decision, no matter how small, can cascade into major problems downstream.
Make sure every employee has access to streamlined processes, knowledge flows and tools to make proper, timely and consistent decisions.
Implement governance systems that ensure your captured knowledge is vetted, accurate and up-to-date.
Communication and change management
Ensure your successful transformation to a knowledge-sharing enterprise with clear, frequent and engaging communication up, down and across your organization.
Remove the mystique typically associated with knowledge management programs by identifying and implementing clear, relevant performance metrics and indicators.